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DTSTART;TZID=America/New_York:20230717T080000
DTEND;TZID=America/New_York:20230717T170000
DTSTAMP:20230614T133221Z
CREATED:20230531T193818Z
LAST-MODIFIED:20230614T133221Z
UID:10148-1689580800-1689613200@ma.stat.columbia.edu
SUMMARY:LAST DAY to DROP a FULL SUMMER COURSE
DESCRIPTION:TODAY IS THE LAST DAY TO DROP A FULL SUMMER CLASS.  \nGSAS does not allow a student to drop a class after TODAY.*  \nClasses dropped up to and including TODAY will not appear in your transcript.  \nDropping a Course is a Two-Step Process.  \nWhen you request to drop a course\, you will receive an email when your request has been approved.  Then you must log in to SSOL to complete the drop.   \nHERE is information about the Add/Drop Tool.  ALWAYS check that the course has been dropped from your schedule.   \nNot all Classes are Pass/Fail or R-Credit Available.   \nPlease speak with the Professor before the Drop Date if you are considering pass/fail or R credit to make sure that is an option.  \nImportant:   \n\n\n\nClasses dropped before the deadline will not appear in your transcript.  \nIf you do not drop the class from your schedule\, you will receive a grade for the course.**\nA course must have a grade in order to count for graduation. \nPass/Fail or R credit do not count for graduation\n\n\n\nQuestions about Registration:   \n\n\n\nVisit the Student Service Center in Kent Hall \nTelephone:  212-854-4400\nEmail:  ssc@columbia.edu.  \n\n\n\n*Exception:  If the class is successfully cross-registered into another SCHOOL (For example\, the Engineering School (SEAS) or the Business School\, etc.) follow the deadlines for THAT School. \n**Not attending classes or sending a notification to the instructor does not constitute dropping a course. Students who stop attending a course without formally dropping it by the deadline should be assigned a letter grade based on the same criteria as students who complete the course.
URL:https://ma.stat.columbia.edu/event/last-day-to-drop-a-full-summer-course/
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230703
DTEND;VALUE=DATE:20230812
DTSTAMP:20230119T200817Z
CREATED:20230118T214925Z
LAST-MODIFIED:20230119T200817Z
UID:9529-1688342400-1691798399@ma.stat.columbia.edu
SUMMARY:SUMMER 2023 SESSION B
DESCRIPTION:Summer Session:  Classes are offered to students in the MA Statistics Program through SPS (School of Professional Studies).  This is why courses may be labeled “S”.  They are the same MA Statistics Courses as offered during the Fall & Spring Semesters (GR 52xx).  Only course numbers that begin with “52” (not “42”) in the Statistics Department will count toward graduation.  \n\nPlease see SPS Registration and Calendars and the GSAS Calendar for dates and deadlines.\nFind classes in the Columbia University Directory. \n\nClasses that Count for Graduation (GSAS Website)\n \n\nRequire registration of ER  (any student who has completed 2 RUs) or\nRequire registration of the appropriate RU fraction (student with fewer than 2 RUs completed).\nMay be approved electives from the Statistics Department or other schools or departments. \nPlease read about cross-registration.   \n\nSummer Classes \n\nStatistical Fieldwork GR5399:  Required for a student seeking an internship through CPT. \nCourses with zero (0) credits:  If this is your only class you do not need to register for ER or RU unit.  \nHERE is summer tuition information.  \n\nClasses that Do Not Count for Graduation \nMA students taking only summer courses that do not count toward their specific degree requirements (e.g.\, language study for reading knowledge) should contact the GSAS Office of Student Affairs in person at 107 Low Library or by email at gsas-studentaffairs@columbia.edu for guidance on paying tuition according to the schedule on the Tuition and Fees page of the SPS website. \n Questions about registering for Summer courses in SPS can be sent to:  summersessions@columbia.edu. \nTo drop the last class of Summer\,  fill-out the  withdrawal form.
URL:https://ma.stat.columbia.edu/event/summer-2023-session-b/
ATTACH;FMTTYPE=image/jpeg:https://ma.stat.columbia.edu/wp-content/uploads/2023/01/IMG_4869-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230619
DTEND;VALUE=DATE:20230620
DTSTAMP:20230531T193241Z
CREATED:20230531T193241Z
LAST-MODIFIED:20230531T193241Z
UID:10146-1687132800-1687219199@ma.stat.columbia.edu
SUMMARY:LAST DAY to choose PASS/FAIL or R CREDIT for SUMMER A
DESCRIPTION:Decisions to take a particular course Pass/Fail or for R credit are not reversible after this date (GSAS Rule).  \n\nCourses taken for PASS/FAIL or R Credit DO NOT COUNT TOWARD GRADUATION. \nA class must have a LETTER GRADE to count toward graduation.\nA course taken for Pass/Fail cannot be taken a second time to receive a better grade.*\n\nCOURSES TAKEN FOR R GRADE OR PASS/FAIL\nDuring the semester there are important dates to remember including the LAST DAY to DROP COURSES and the LAST DAY for R Grade & PASS/FAIL.  These deadlines are strictly followed.** \nPASS/FAIL — Not all courses are eligible for P/F.  \n\nCheck on SSOL to see if the course is eligible for P/F and select.\nIf not available on SSOL\, check with your instructor.\nIf instructor approves P/F\, but it’s NOT eligible on SSOL\, have the instructor sign a RAF .  Send the form to gsas-studentaffairs@columbia.edu. \nClick HEREfor further details on the “Pass/Fail” grade.\n\nR CREDIT \n\nR grades must be approved by the course instructor.  You must make an arrangement with the instructor.\nClick HERE for further details on the “R” grade. \n\nCourses taken for R or Pass/Fail do not count towards the MA Statistics degree. \n\nCore classes may not be taken for R or P/F.\n\nFrom the GSAS Website:   \nR credit and Pass/Fail (P/F) are two different marks. Unlike R credit\, the mark of P/F assesses the quality of a student’s performance. Additionally\, students taking a course Pass/Fail are evaluated on all the gradable assignments for the course.  \nStudents who elect to take a course for R credit are not required to take the final examination; however\, they must meet all other course requirements\, unless the instructor states otherwise in writing. \nOnce the Drop Date is past\, all the classes on your schedule will remain on your transcript.  \n*Students are not allowed to re-register for a course to improve letter grade.  (The only exception would be for a Grade of F which must be approved by the instructor\, the Faculty Director of the MA Program\, and the Graduate School of Arts & Sciences.  While the second grade will be used to determine graduation\, the original “F” will remain on the transcript and will affect the cumulative GPA that is visible on the transcript.)  \n\nReview REQUIREMENTS of the MA Degree.\nReview GOOD ACADEMIC STANDING.
URL:https://ma.stat.columbia.edu/event/last-day-to-choose-pass-fail-or-r-credit-for-summer-a/
ATTACH;FMTTYPE=image/png:https://ma.stat.columbia.edu/wp-content/uploads/2023/01/Pass-Fail-or-R.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230619
DTEND;VALUE=DATE:20230620
DTSTAMP:20230614T133009Z
CREATED:20230531T193033Z
LAST-MODIFIED:20230614T133009Z
UID:10144-1687132800-1687219199@ma.stat.columbia.edu
SUMMARY:LAST DAY to DROP a "SUMMER A" COURSE
DESCRIPTION:TODAY IS THE LAST DAY TO DROP A SUMMER CLASS.  \nGSAS does not allow a student to drop a class after TODAY.*  \nClasses dropped up to and including TODAY will not appear in your transcript.  \nDropping a Course is a Two-Step Process.  \nWhen you request to drop a course\, you will receive an email when your request has been approved.  Then you must log in to SSOL to complete the drop.   \nHERE is information about the Add/Drop Tool.  ALWAYS check that the course has been dropped from your schedule.   \nNot all Classes are Pass/Fail or R-Credit Available.   \nPlease speak with the Professor before the Drop Date if you are considering pass/fail or R credit to make sure that is an option.  \nImportant:   \n\n\n\nClasses dropped before the deadline will not appear in your transcript.  \nIf you do not drop the class from your schedule\, you will receive a grade for the course.**\nA course must have a grade in order to count for graduation. \nPass/Fail or R credit do not count for graduation\n\n\n\nQuestions about Registration:   \n\n\n\nVisit the Student Service Center in Kent Hall \nTelephone:  212-854-4400\nEmail:  ssc@columbia.edu.  \n\n\n\n*Exception:  If the class is successfully cross-registered into another SCHOOL (For example\, the Engineering School (SEAS) or the Business School\, etc.) follow the deadlines for THAT School. \n**Not attending classes or sending a notification to the instructor does not constitute dropping a course. Students who stop attending a course without formally dropping it by the deadline should be assigned a letter grade based on the same criteria as students who complete the course.
URL:https://ma.stat.columbia.edu/event/last-day-to-drop-a-summer-a-course/
ATTACH;FMTTYPE=image/png:https://ma.stat.columbia.edu/wp-content/uploads/2023/01/LASTdayTOdrop.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230530
DTEND;VALUE=DATE:20230603
DTSTAMP:20230614T133133Z
CREATED:20230530T184418Z
LAST-MODIFIED:20230614T133133Z
UID:10140-1685404800-1685750399@ma.stat.columbia.edu
SUMMARY:COLUMBIA CLASS of 2023 CELEBRATION EVENT - Beijing Global Center
DESCRIPTION:Capture your unique graduation moments at our Columbia-themed photo booths\, meet the Beijing Center’s staff\, explore our facilities\, programs\, and resources\, and learn more about how the Center can help you achieve academic and personal goals back in China. Fill in the registration form and vote for your preferred event times!  Read more HERE. 
URL:https://ma.stat.columbia.edu/event/columbia-class-of-2023-celebration-event-beijing-global-ctr/
ATTACH;FMTTYPE=image/png:https://ma.stat.columbia.edu/wp-content/uploads/2023/05/2023-06-BeijingGlobalCtr.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230527T080000
DTEND;TZID=America/New_York:20230527T170000
DTSTAMP:20230530T184016Z
CREATED:20230530T183900Z
LAST-MODIFIED:20230530T184016Z
UID:10136-1685174400-1685206800@ma.stat.columbia.edu
SUMMARY:Columbia Global Ctrs Alumni Event
DESCRIPTION:Join us in-person and online as we partner with the Columbia Alumni Association of Beijing\, Shenzhen\, Hangzhou\, and Shanghai to express special thanks to our community members for their support and discuss two books in Chinese edition: Jefferson’s Daughters: Three Sisters\, White and Black\, in a Young America and Pain Killer: An Empire of Deceit and the Origin of America’s Opioid Epidemic. A reception will follow for mingling. \nRead more HERE. 
URL:https://ma.stat.columbia.edu/event/columbia-global-ctrs-alumni-event/
ATTACH;FMTTYPE=image/png:https://ma.stat.columbia.edu/wp-content/uploads/2023/05/alumni.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230522
DTEND;VALUE=DATE:20230701
DTSTAMP:20230119T200810Z
CREATED:20230118T214733Z
LAST-MODIFIED:20230119T200810Z
UID:9526-1684713600-1688169599@ma.stat.columbia.edu
SUMMARY:SUMMER 2023 SESSION A
DESCRIPTION:Summer Session:  Classes are offered to students in the MA Statistics Program through SPS (School of Professional Studies).  This is why courses may be labeled “S”.  They are the same MA Statistics Courses as offered during the Fall & Spring Semesters (GR 52xx).  Only course numbers that begin with “52” (not “42”) in the Statistics Department will count toward graduation.  \n\nPlease see SPS Registration and Calendars and the GSAS Calendar for dates and deadlines.\nFind classes in the Columbia University Directory. \n\nClasses that Count for Graduation (GSAS Website)\n \n\nRequire registration of ER  (any student who has completed 2 RUs) or\nRequire registration of the appropriate RU fraction (student with fewer than 2 RUs completed).\nMay be approved electives from the Statistics Department or other schools or departments. \nPlease read about cross-registration.   \n\nSummer Classes \n\nStatistical Fieldwork GR5399:  Required for a student seeking an internship through CPT. \nCourses with zero (0) credits:  If this is your only class you do not need to register for ER or RU unit.  \nHERE is summer tuition information.  \n\nClasses that Do Not Count for Graduation \nMA students taking only summer courses that do not count toward their specific degree requirements (e.g.\, language study for reading knowledge) should contact the GSAS Office of Student Affairs in person at 107 Low Library or by email at gsas-studentaffairs@columbia.edu for guidance on paying tuition according to the schedule on the Tuition and Fees page of the SPS website. \n Questions about registering for Summer courses in SPS can be sent to:  summersessions@columbia.edu. \nTo drop the last class of Summer\,  fill-out the  withdrawal form.
URL:https://ma.stat.columbia.edu/event/summer-2023-session-a/
ATTACH;FMTTYPE=image/jpeg:https://ma.stat.columbia.edu/wp-content/uploads/2023/01/IMG_5657-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230518
DTEND;VALUE=DATE:20230525
DTSTAMP:20230324T175450Z
CREATED:20230201T195735Z
LAST-MODIFIED:20230324T175450Z
UID:9617-1684368000-1684972799@ma.stat.columbia.edu
SUMMARY:REGISTER for Summer Classes at Columbia University
DESCRIPTION:SUMMER SESSIONS  \nRegisration / enrollment appointment times will be available on SSOL beginning February 28 \n\nSession A – May 22 – June 30\, 2203\nSession B – July 3 – August 11\, 2023 \n\n\nHow do I register for summer classes? (Click HERE)\n\n\nSUMMER REGISTRATION\nSummer Session:  Classes are offered to students in the MA Statistics Program through SPS (School of Professional Studies).  This is why courses may be labeled “S”.  They are the same MA Statistics Courses as offered during the Fall & Spring Semesters (GR 52xx).  Only course numbers that begin with “52” (not “42”) in the Statistics Department will count toward graduation.  \n\nPlease see SPS Registration and Calendars and the GSAS Calendar for dates and deadlines.\nFind classes in the Columbia University Directory. \n\nClasses that Count for Graduation (GSAS Website)\n \n\nRequire registration of ER  (any student who has completed 2 RUs) or\nRequire registration of the appropriate RU fraction (student with fewer than 2 RUs completed).\nMay be approved electives from the Statistics Department or other schools or departments. \nPlease read about cross-registration.   \n\nSummer Classes \n\nStatistical Fieldwork GR5399:  Required for a student seeking an internship through CPT. \nCourses with zero (0) credits:  If this is your only class you do not need to register for ER or RU unit.  \nHERE is summer tuition information.  \n\nClasses that Do Not Count for Graduation \nMA students taking only summer courses that do not count toward their specific degree requirements (e.g.\, language study for reading knowledge) should contact the GSAS Office of Student Affairs in person at 107 Low Library or by email at gsas-studentaffairs@columbia.edu for guidance on paying tuition according to the schedule on the Tuition and Fees page of the SPS website. \n Questions about registering for Summer courses in SPS can be sent to:  summersessions@columbia.edu. \nTo drop the last class of Summer\,  fill-out the  withdrawal form. \n\n\n\nHow can I drop my last class of the summer? (Click HERE)\n\nTo drop the last class of Summer\,  fill-out the withdrawal form.   \n\nIt will have instructions on where to send it.\nState on the form that you wish to drop the last class of summer and that you are not withdrawing completely from the MA Program. \nHERE is information from the Registrar’s Website. \n\nQuestions about registering for Summer courses in SPS can be sent to:  summersessions@columbia.edu.  \n203 Lewisohn Hall — Contact us: 212-854-9666
URL:https://ma.stat.columbia.edu/event/register-for-summer-classes-at-columbia-university/
LOCATION:Lewisohn Hall
ATTACH;FMTTYPE=image/png:https://ma.stat.columbia.edu/wp-content/uploads/2023/02/SummerSESSION.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230517T103000
DTEND;TZID=America/New_York:20230517T120000
DTSTAMP:20230130T152015Z
CREATED:20230118T213107Z
LAST-MODIFIED:20230130T152015Z
UID:9522-1684319400-1684324800@ma.stat.columbia.edu
SUMMARY:COLUMBIA UNIVERSITY COMMENCEMENT
DESCRIPTION:Columbia University Commencement \nFurther information for students on participation in the ceremonies can be found HERE.  \nThe Columbia Commencement limits the number of tickets.  \nFrom the GSAS Website:  \nWhat is Columbia University Commencement?\nColumbia University Commencement is a University-wide event for all 2023 graduates from across Columbia\, presided over by President Bollinger. Schools are assigned areas in which to sit on and around Low Plaza\, and graduates wear regalia but do not walk across the stage.   \n\nDate: Wednesday\, May 17\, 2023\nTime: 10:30 a.m.
URL:https://ma.stat.columbia.edu/event/columbia-university-commencement/
ATTACH;FMTTYPE=image/jpeg:https://ma.stat.columbia.edu/wp-content/uploads/2023/01/Alma-Maters-back-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230514T150000
DTEND;TZID=America/New_York:20230514T180000
DTSTAMP:20230313T162508Z
CREATED:20230118T211606Z
LAST-MODIFIED:20230313T162508Z
UID:9516-1684076400-1684087200@ma.stat.columbia.edu
SUMMARY:GSAS CONVOCATION
DESCRIPTION:Columbia University holds its formal graduation ceremonies in May for all students who have either already graduated in the PREVIOUS OCTOBER or PREVIOUS FEBRUARY or who are graduating in MAY.  MA Statistics Students who will not graduate until the following February are not eligible to participate as a GRADUATE until after they officially graduate.  \nFurther information for students on participation in the ceremonies can be found HERE.   International students should check with ISSO about inviting distant friends and family. \nThe GSAS Convocation does not require individual tickets for family members to attend.   \nGSAS CONVOCATION \nFrom the GSAS Website:  \nGSAS Master’s Convocation is a ceremony on Sunday\, May 14\, 2023\, which celebrates the accomplishments of all Master’s candidates in the Graduate School of Arts and Sciences. The ceremony is for GSAS Master’s graduates only. GSAS Dean Alonso is the Master of Ceremonies for Convocation\, and each graduate has an opportunity to walk across the stage in regalia. Master’s Convocation will last approximately 90 minutes. \n\nDate: Sunday\, May 14\, 2023\nTime: 3:00 p.m. \n\nFOR GRADUATES:   CONVOCATION CHECKLIST \nNow:  \n\nConfirm your eligibility (see Eligibility section below).\nConfirm your mailing address to receive your diploma (See Diplomas section below).\n\nAfter March 13: Order regalia through the Columbia Bookstore or online.  \nAfter April 2: Register for a graduate ticket for University Commencement through the University Ticketing site.  \nMay 8\, 9\, or 11: Pick up your Name Card in 107 Low Library between 8:30 a.m. and 5:30 p.m.  \nMay 14: Arrive at the Roone Arledge Auditorium at the designated time:  \n\nPhD: 11:00 – 11:30 a.m.\nMA:  1:30 – 2:00 p.m.\n 
URL:https://ma.stat.columbia.edu/event/gsas-convocation/
ATTACH;FMTTYPE=image/jpeg:https://ma.stat.columbia.edu/wp-content/uploads/2023/01/DA-grad-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230514T113000
DTEND;TZID=America/New_York:20230514T133000
DTSTAMP:20230519T175124Z
CREATED:20230130T152400Z
LAST-MODIFIED:20230519T175124Z
UID:9600-1684063800-1684071000@ma.stat.columbia.edu
SUMMARY:CONVOCATION OPEN HOUSE - MA STATISTICS GRADUATION
DESCRIPTION:Prior to attending the GSAS Convocation\, take out or eat a boxed lunch and take some photos with other MA Statistics Students.   \n                                    
URL:https://ma.stat.columbia.edu/event/ma-statistics-program-open-house/
ATTACH;FMTTYPE=image/jpeg:https://ma.stat.columbia.edu/wp-content/uploads/2023/01/IMG_6459-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230512T173000
DTEND;TZID=America/New_York:20230512T193000
DTSTAMP:20230516T200201Z
CREATED:20230516T193918Z
LAST-MODIFIED:20230516T200201Z
UID:10099-1683912600-1683919800@ma.stat.columbia.edu
SUMMARY:SEMESTER END - MA STAT - HAPPY HOUR
DESCRIPTION:
URL:https://ma.stat.columbia.edu/event/semester-end-ma-stat-happy-hour/
ATTACH;FMTTYPE=image/jpeg:https://ma.stat.columbia.edu/wp-content/uploads/2023/05/IMG_4906-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230512
DTEND;VALUE=DATE:20230513
DTSTAMP:20230118T211120Z
CREATED:20230118T211004Z
LAST-MODIFIED:20230118T211120Z
UID:9513-1683849600-1683935999@ma.stat.columbia.edu
SUMMARY:SPRING TERM ENDS
DESCRIPTION:
URL:https://ma.stat.columbia.edu/event/spring-term-ends/
ATTACH;FMTTYPE=image/jpeg:https://ma.stat.columbia.edu/wp-content/uploads/2023/01/alma-mater.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230505
DTEND;VALUE=DATE:20230513
DTSTAMP:20230405T185739Z
CREATED:20230118T210713Z
LAST-MODIFIED:20230405T185739Z
UID:9510-1683244800-1683935999@ma.stat.columbia.edu
SUMMARY:FINAL EXAMS
DESCRIPTION:SPRING 2023
URL:https://ma.stat.columbia.edu/event/final-exams/
ATTACH;FMTTYPE=image/jpeg:https://ma.stat.columbia.edu/wp-content/uploads/2022/08/ddancers.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230502
DTEND;VALUE=DATE:20230505
DTSTAMP:20230504T183133Z
CREATED:20230118T210452Z
LAST-MODIFIED:20230504T183133Z
UID:9507-1682985600-1683244799@ma.stat.columbia.edu
SUMMARY:STUDY DAYS
DESCRIPTION:Relax or study with your MA Statistics peers from 1pm to 5pm daily during the Study Days:  May 2\, 3\, 4.  Snacks and tea will be provided. 
URL:https://ma.stat.columbia.edu/event/study-days/
ATTACH;FMTTYPE=image/jpeg:https://ma.stat.columbia.edu/wp-content/uploads/2023/01/IMG_4864-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230501
DTEND;VALUE=DATE:20230502
DTSTAMP:20230118T210052Z
CREATED:20230118T210008Z
LAST-MODIFIED:20230118T210052Z
UID:9503-1682899200-1682985599@ma.stat.columbia.edu
SUMMARY:LAST DAY OF CLASSES
DESCRIPTION:Last day of Spring 2023 classes.\nLast day to withdraw from or take a leave of absence effective in the Spring 2023 semester.
URL:https://ma.stat.columbia.edu/event/last-day-of-classes/
ATTACH;FMTTYPE=image/jpeg:https://ma.stat.columbia.edu/wp-content/uploads/2023/01/IMG_0603-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230427T120000
DTEND;TZID=America/New_York:20230427T133000
DTSTAMP:20230427T145316Z
CREATED:20230427T145316Z
LAST-MODIFIED:20230427T145316Z
UID:10041-1682596800-1682602200@ma.stat.columbia.edu
SUMMARY:Guest Speaker - Tim Chartier "DATA ANALYTICS in SPORTS"
DESCRIPTION:Lunch & a talk.  Hosted by the Columbia Statistics Club.
URL:https://ma.stat.columbia.edu/event/guest-speaker-tim-chartier-data-analytics-in-sports/
ATTACH;FMTTYPE=image/png:https://ma.stat.columbia.edu/wp-content/uploads/2023/04/2023-04.26-TimChartier.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230427
DTEND;VALUE=DATE:20230430
DTSTAMP:20230324T180805Z
CREATED:20230324T180805Z
LAST-MODIFIED:20230324T180805Z
UID:9954-1682553600-1682812799@ma.stat.columbia.edu
SUMMARY:APPLY for an AWARD to ATTEND the JSM
DESCRIPTION:The 2023 Joint Statistical Meetings (JSM) will take place August 5 – 10\, 2023 in Toronto\, Canada. JSM offers a unique opportunity for statisticians in academia\, industry\, and government to exchange ideas and explore collaborations.  \nJSM is one of the largest statistical events in the world: \n600+ sessions\, including invited\, topic-contributed\, contributed\, and poster\n75+ employers hiring for more than 200 positions\n100+ exhibitors\nMore than 40 professional development short courses and workshops \n\n4 lucky MA students will receive support to cover the $135 ASA Student Member event registration fee and up to $600 to help cover the cost of travel and lodging. NOTE: Winners are responsible for paying the ASA Student Membership fee of $25.00. Only continuing MA students graduating after May 2023 are eligible to apply.  See details to apply in the MA Weekly Newsletter.   \nApplication Deadline is: April 29\, 2023. \nTo find out more about JSM visit: https://ww2.amstat.org/meetings/jsm/2023/ \nFor international students a visa to Canada might be required\, international students need to consult with ISSO to make arrangements accordingly in advance.
URL:https://ma.stat.columbia.edu/event/apply-for-an-award-to-attend-the-jsm/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230426T133000
DTEND;TZID=America/New_York:20230426T133000
DTSTAMP:20230412T202801Z
CREATED:20230411T131219Z
LAST-MODIFIED:20230412T202801Z
UID:10017-1682515800-1682515800@ma.stat.columbia.edu
SUMMARY:Lunch with Dr. Joyce Robbins - Informal Faculty Talks with MA Students
DESCRIPTION:We are delighted to host Dr. Joyce Robbins for our Talk Series.  Join us!  See the MA Weekly Newsletter for details and RSVP.   
URL:https://ma.stat.columbia.edu/event/lunch-with-dr-joyce-robbins-informal-faculty-talks-with-ma-students/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230420T113000
DTEND;TZID=America/New_York:20230420T130000
DTSTAMP:20230405T210146Z
CREATED:20230405T204319Z
LAST-MODIFIED:20230405T210146Z
UID:10011-1681990200-1681995600@ma.stat.columbia.edu
SUMMARY:SENIOR DATA SCIENTIST\, JOHNSON & JOHNSON
DESCRIPTION:*** ATREYEE MAJUMDER *** \n~~~~ DATA SCIENCE INDUSTRY PRACTITIONERS TALK SERIES ~~~~ \nAtreyee will talk about the impact Johnson & Johnson strives to make as a global public health entity by giving a high-level overview of two of their data science projects–HIV hotspot modeling and TB missing patient finding. She will also talk about her career path and share her motivations to pursue a PhD in a different country and work in the healthcare domain overs. RSVP is required. \nCheck the MA Weekly Statistics Newsletter for details and RSVP. 
URL:https://ma.stat.columbia.edu/event/senior-data-scientist-johnson-johnson/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230420
DTEND;VALUE=DATE:20230422
DTSTAMP:20230405T192327Z
CREATED:20230405T190339Z
LAST-MODIFIED:20230405T192327Z
UID:9983-1681948800-1682121599@ma.stat.columbia.edu
SUMMARY:FALL 2023 - ADVANCE REGISTRATION
DESCRIPTION:ADVANCE REGISTRATION FOR FALL CLASSES will be available during appointment times from Monday – Friday\, APRIL 17 – 21\nAll MA students are required to register every semester. An official leave of absence is the only exception to this Continuous Registration policy. \nAdvance registration for Fall 2023 is open Monday\, April 17 through Friday\, April 21 and then will reopen from Monday\, June 12 through Friday\, June 16\, and Tuesday\, June 20 through Friday\, June 23. For registration dates in August\, please visit the Registrar’s Office website. Please refer to Student Services Online (SSOL) for specific registration appointment times. All students are required to register themselves through SSOL. \nPlease note the following: \n\nYou must register for a Residence Unit or other enrollment category along with your courses. IF YOU HAVE COMPLETED TWO RU’s in the MA Program\, YOU MUST REGISTER FOR ER.  The enrollment category affects your tuition rate\, access to Columbia buildings and facilities\, health insurance\, and more. Additional information about enrollment categories may be found here.\nIn addition\, students holding a visa must register either for a full Residence Unit or for Extended Residence to maintain their visa status. If you have additional questions regarding your visa status\, you may contact ISSO. \nStudents who signed up for the Columbia Student Medical Insurance must register for a Residence Unit or other enrollment category for the fall term by August 14 in order for your health insurance to continue. If you do not register by August 14\, your health insurance will lapse.\n\nPlease write with any other questions at gsas-studentaffairs@columbia.edu.  \nHOW TO REGISTER FOR CLASSES\nIt is the student’s responsibility to stay on track with graduation requirements\, and to make sure the Faculty Adviser approves course selections prior to registering for each semester.  Schedules should be reviewed again if changes are made. \nThe GSAS Academic Calendar indicates the general dates that students can register.  The system will allow students to register only during specific registration appointment times on Student Services Online (SSOL) (accessed with UNI and password).  “REG APPTS” reveals the designated times. \nThe Columbia Course Directory and Vergil offer key information about each class including the course size\, prerequisites\, and if there are any restrictions. For example\, if a course is not open to students in GSAS\, it would not be open to an MA Statistics student. For further details about registration procedures\, students may refer to the GSAS Registration page. \nBefore registering\, the onus is on the student to reach out to their assigned Faculty Adviser to have the individual course list approved (in person or via email). \nHERE is a video that describes how to use SSOL for registration.  HERE is a video about using Vergil for planning your courses and schedule. \nRESIDENCE UNITS\nBelow are Residence Unit Categories for each of the MA Programs. For more information about Residence Units\, see also Tuition & Fees  and the GSAS Website.  Registration in the Graduate School of Arts and Sciences is a two-part process that consists of registering for both individual classes and also for a full or fractional Residence Unit.  A Residence Unit (RU) is a registration category that determines the amount of tuition. \nStudents in F-1 status must complete the program in three semesters maximum (full-time).  The number of classes each semester may vary as long as all requirements are completed within three semesters (maximum).  It is possible to graduate after two semesters\, but this is not recommended as the courses are challenging and all students must maintain a 3.0 GPA.  Always check with ISSO about international and visa-related issues.  \nFull-Time Student (Registration for one full RU or ER is considered full-time.) \n\nFirst Semester – RU\nSecond Semester – RU\nStudents may opt to take summer courses / Statistical Fieldwork\nThird Semester – ER\n\nPart-Time Student \nPart-time allows for QR (Quarter Residence Unit) or HR (Half Residence Unit).  ALL MA Program students are required to complete two RUs to graduate.  \nAll Students \nAfter completing a total of two RUs\, all students who wish to continue their studies in the MA Program for a subsequent semester must register for ER.  One can register for ER for more than one semester (e.g.\, Summer Term and Fall Term).  ALL MA Program students are required to complete two RUs to graduate.  \n\n\n\nStatistics  Categories\n \n\n\nFull Residence Unit (RU)*\n\n20 credits max (RESI) \n\n\n\nExtended Residence (ER)*\n\n20 credits max (EXRS) – Taken after completion of two Residence Units \n\n\n\nSummer ER*\n20 credits max (EXRS) – Taken during the summer semester\n\n\nHalf Residence Unit (HR)*\nThree courses max\n\n\nQuarter Residence Unit (QR)*\n\nTwo courses max \n\n\n\n\n*To find the call number for the kind of residence unit you want\, look in the Columbia Course Directory under Richard Slusarczyk – (Assc. Dean-Academic Affairs\, GSAS) who will be listed as the “instructor” for GSAS residence units.  Choose the correct unit and semester.  \nREGISTRATION GUIDELINES\nFor registration guidelines please review: \n\nRegistration Outline\nCourse Checklist Form\n\nHow many courses? \n\nThe number of classes taken must be approved by the Faculty Adviser.\nTo remain in Good Academic Standing (GPA at 3.0 and above)\, it is recommended to take no more than four classes per semester\, especially in the first semester.\nStudents on F-1 visa must register for a full RU in their first two semesters.  Most students need a third semester to complete all requirements \, but anyone who completes all their program requirements (courses and 2 RUs) may graduate.  After completing 2 RUs in GSAS\, one must register for ER to continue for a subsequent semester. \nA full RU or ER allows any number of points up to and including twenty points.\nPart-time students may register for a QR or HR\, as long as the program is completed within four years and a total of two RUs have been fulfilled.\nMost full-time students should plan for three full semesters. Completing the MA Program in two semesters requires faculty adviser approval. \n\nWhich classes to take? \n\nHere are details about the Statistics MA Program requirements.\nHere are approved electives.\nHere is information about Cross Registration.\nHere are electives grouped according to interest area\, such as finance\, data science\, public health\, insurance\, or the Ph.D. track.\nHere is a list of courses that will not count for the MA Degree in Statistics.\n\nWhat if a class is “restricted?” \n\nThis means that it is closed to MA Statistics Students.\n\nLook up the course in the Columbia Directory and review the section “Open To.”\nSome courses open to additional students on a later date.  This is often found in the “Notes” section of the course.\n\n\nHere is information about cross registration into other schools.\n\nWhat if a class is full? \n\nSSOL is the primary source for all registration including the waitlists.\nThe student should register as soon as possible to get on the electronic waitlist.\nWaiting is the next step.  Eventually\, the student’s request to join the class will either be accepted or denied.\nStudents should not email the instructor to bypass others on the waitlist.\nThere is no need to reach out to a Faculty Adviser except in a case where a class is required for graduation in the last semester of the program.\nThis is a helpful Guide for waitlists.  \nQuestions may be sent to waitlists@columbia.edu.\nIt is important to have a back-up plan\, such as an alternative course or a different section that is still open.\nIt is not permissible to remain on the waitlist if you are accepted into another section of the same course.\nIf accepted into a desired section\, please drop all other sections to open those waitlists to others.\n\nResidence Unit (RU) Status \n\nAlways review RU status.\nQuestions about tuition may be sent to gsas-finaid@columbia.edu.\nIf the total number of points goes over twenty\, there will be extra charges.\nIf a student needs to change to a lower RU\, this must be done manually by the student.  It does not happen automatically when one registers for fewer credits.\nStatistics students in the MA Program may not register for greater than fifteen points at one time.  Special permission must be obtained to register for more than fifteen.\n\nCourses must have a letter grade to count for graduation. \n\nAny course with P/F or R Grade does not count toward graduation.\nThe three CORE courses and the CAPSTONE COURSE MAY NOT be taken Pass/Fail. \n\nHow to add or drop a class after registration: \n\nThe first two weeks of the semester is called the “Change of Program Period” because students may add and drop classes in SSOL without penalty.\nYour schedule should be set at the end of the “Change of Program Period.”\n\n\nRefer to the Academic Calendar for add/drop and other deadlines.\n\nNo classes may be dropped after the LAST DAY TO DROP.  There are no exceptions.\nNo classes may be changed to R or Pass/Fail after the DEADLINE to change to PASS/FAIL or R.\n\n\nThe deadlines for half- semester courses are different\, to remain in proportion to the deadlines for full-semester courses:\n\nHalf-semester courses must be dropped within the first two weeks.\nThe deadline for Pass/Fail or for R credit is the first day of the fifth week. (Remember that core classes may not be taken for Pass/Fail or R credit.  Nor may they be taken over to receive a higher grade.)\n\n\n\n\nHERE is information about the post-Change of Program Period.\nStudents who stop attending a course without officially dropping will be assigned a grade unless they communicate with the instructor and make proper arrangements.  Students in academic challenges should reach out to their instructor and TA first\, then to the faculty adviser\, and the MA Team. \n\nThe Registration Adjustment Form (RAF) \nThe Registration Adjustment Form may NOT be used to enter a class that is noted as RESTRICTED in your SSOL schedule. The Registration Adjustment Form (RAF) may be used only under these special circumstances: \n\nDuring cross registration when the other school has no special procedure. The form should be brought to GSAS Main Office located at 107 Low Library with the signature and UNI of one’s Faculty Adviser\, the instructor\, and possibly an appropriate administrator of the other school.  An email print-out approval attached to the RAF will count for a signature.\nWhen needing to sign-up for greater than the allowed fifteen credits for MA Statistics Students. \nTo drop the last or only class. A special request must be made to the Office of Student Affairs at 107 Low Library. An application for a Leave of Absence or Withdrawal is required based upon the particular situation.\n\nUnder all circumstances\, the RAF gets handed in to 107 Low Library (GSAS) or emailed to gsas-studentaffairs@columbia.edu.  \nIMPORTANT LINKS FOR REGISTRATION\n\nUniversity Registrar– University Registrars Office\nRegistration–GSAS instructions for registration\nDirectory of Classes or Vergil – either can be used to find out more information about a class including cap and if there are any restrictions.\nGSAS Academic Calendar\nRegistration Adjustment Form– This is for special cases to add/drop that are not accessible via SSOL.\nRequest for Transcripts\nStudent Financial Services: Billing and Payments\nFAQs-Registration\n\nCROSS REGISTRATION\nThe Statistics Department does not have any influence on allowing you into a cross registered class. Cross Registration is always at the discretion of the specific School/Department/Instructor.  \nAdmittance into any course is not guaranteed.  All courses are subject to availability.  \nMost schools/departments do not allow students to cross-register until the first week of classes.  \nSchools and departments all have their own cross registration processes. Please review the links and information below. For schools/departments not listed\, review each individual website and\, if needed\, reach out to their student affairs office to inquire about their cross registration options and processes.  \n\nComputer Science\nIndustrial Engineering and Operations Research \nColumbia Business School\n\nMost courses have a prerequisite of Capital Markets “FINC B8306/ MATH G4076” or “waiver exam”.\nEmail crossreg@gsb.columbia.edu.  \n\n\nData Science Institute\n\nNon-Data Science students will be able to join a waitlist via SSOL.  \nSpace permitting\, Non-DS students will be moved from the waitlist to the class roster during the first week of classes. \nStudents are encouraged to attend the first day of class to get the syllabus and to get a pulse for the course.\nEmail:  DataScience-Registration@columbia.edu.\nFall courses open via waitlist are:\n\nCSOR W4246 – Algorithms for Data Science\nCOMS W4995 – Topics in Computer Science: Elements of Data Science\nCOMS W4995 – Topics in Computer Science: Applied Deep Learning\nCOMS W4995 – Topics in Computer Science: Applied Machine Learning\n\n\n\n\nMath Finance  \n\nAll Math Finance courses have managed waitlists.  This means that everyone who registers is automatically added to a waitlist which is managed by the instructor. \nThe first priority goes to Math Finance students.  After those students are given places\, then spaces will be available for Statistics Students.  \nSome Math Finance courses will not be available for cross registration until the first week of classes.\n\n\nBiostatistics\n\nThe approved electives in this department are 8100 level courses which all have P6103/4 as their prerequisite. \nBiostat 6000 level courses are not approved for graduate credit in the MA Program in Statistics.  \n\n\n\nMA students may register for courses at Teachers College\, as long as they get permission from TC and their adviser. \nTRANSFER CREDIT\nCourses taken in Statistics at Columbia University prior to entering the M.A. program may count toward the M.A. degree if approved by the Program Director and upon final review by the Graduate School. According to the policy of the Statistics Department\, no more than 4 classes (and a maximum of 1 RU)\, taken at Columbia prior to admission in the M.A. program may be applied towards the M.A. degree.  No Columbia course may be applied to more than one degree. \nWhen transfer credit is granted\, concomitant Residence Units may also be credited toward fulfilling the two RU requirement for the M.A. Degree.  Here is more information about transfer credit. \nA student may receive Transfer Credit by following this procedure: \n\nThere is a Transfer Credit form on the GSAS Website.  The top of this form must be filled out with student signature on the appropriate line.\nThe courses should be listed in the blank area provided.\n“Previous Institution” should be Columbia University\, i.e.\, where the courses were taken.\nThe form may be given or emailed to Jill Forger who will pass it to the Faculty Director for approval.\nThe Faculty Director will determine the number of points and RUs to be credited.\nOnce the form has been approved and signed by the Director\, it can be submitted to GSAS in 107 Low.\n\nCOURSES TAKEN FOR R GRADE OR PASS/FAIL\nAfter the deadline to drop a class\, all classes will remain on the transcript and receive a grade.  \nCOURSES TAKEN FOR R OR PASS/FAIL DO NOT COUNT TOWARD THE MA STATISTICS DEGREE.    \n\nThe decision to choose Pass/Fail or R is PERMANENT after the deadline.  \nCourses taken for Pass/Fail or R do not count toward the 30 credits required for graduation.  \nA PASS will not affect the GPA\, but a FAIL grade will be the same as an F in any course.  \n\nNot all classes are Pass/Fail eligible: \n\nCore Courses & Capstone Courses are NOT Pass/Fail eligible.  \nElective Courses:  The instructor will determine if the course is Pass/Fail eligible. Check for Pass/Fail eligibility in SSOL.  If not\, ask the instructor.  \n\nFor R Credit\, a student must make an arrangement with the instructor before the deadline.   \nGSAS DEADLINES for dropping classes and choosing Pass/Fail or R are strictly enforced.  \n\nHERE are further details on the GSAS grading system.  \n\nFrom the GSAS Website:   \nR credit and Pass/Fail (P/F) are two different marks. Unlike R credit\, the mark of P/F assesses the quality of a student’s performance. Additionally\, students taking a course Pass/Fail are evaluated on all the gradable assignments for the course.  \nStudents who elect to take a course for R credit are not required to take the final examination; however\, they must meet all other course requirements\, unless the instructor states otherwise in writing.
URL:https://ma.stat.columbia.edu/event/fall-2023-advance-registration-2/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230419T133000
DTEND;TZID=America/New_York:20230419T143000
DTSTAMP:20230405T201800Z
CREATED:20230327T202457Z
LAST-MODIFIED:20230405T201800Z
UID:9959-1681911000-1681914600@ma.stat.columbia.edu
SUMMARY:Lunch with Dr. Wayne T. Lee – Informal Faculty Talks with MA Students
DESCRIPTION:Topic:   “Being an Adaptive Data Scientist – Reflections from Industry”\n\nPlease read the MA Statistics Newsletter for details and RSVP.  \nFor more information about Dr. Wayne T. Lee\, see the Department of Statistics Directory.  \n\n\n\n 
URL:https://ma.stat.columbia.edu/event/lunch-with-dr-wayne-t-lee/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230419T080000
DTEND;TZID=America/New_York:20230419T170000
DTSTAMP:20230315T185926Z
CREATED:20230313T173518Z
LAST-MODIFIED:20230315T185926Z
UID:9777-1681891200-1681923600@ma.stat.columbia.edu
SUMMARY:DATA SCIENCE DAY
DESCRIPTION:Data Science Day provides a forum for innovators in academia\, industry\, and government to connect. The in-person conference will host keynote presentations from leading voices in data-driven innovation\, lightning talks from Columbia University researchers\, and interactive poster and technology demonstrations. \nKeynote Speaker:  Manuala Veloso. JPMorgan Chase & Co.  \n\nWednesday\, April 19\, 2023\nMore details HERE. \nREGISTER
URL:https://ma.stat.columbia.edu/event/data-science-day-april-19/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230418T113000
DTEND;TZID=America/New_York:20230418T123000
DTSTAMP:20230405T193233Z
CREATED:20230405T192538Z
LAST-MODIFIED:20230405T193233Z
UID:9993-1681817400-1681821000@ma.stat.columbia.edu
SUMMARY:ALUMNI PANEL on the HEALTH/PHARMA/BIOTECH INDUSTRIES
DESCRIPTION:Have you thought about a career path in the healthcare related industry? \n\nAre you wondering if you need a biology or life science background to enter the field?\nWhat are the most needed technical/soft skills in this industry that provides more job security?  \n\nCome join this virtual panel to learn from three of our great alumni who had years of experience in the field.  \nCheck the MA Weekly Newsletter for the Zoom Link and RSVP. 
URL:https://ma.stat.columbia.edu/event/alumni-panel-on-the-healthcare-industry/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230417
DTEND;VALUE=DATE:20230419
DTSTAMP:20230405T191342Z
CREATED:20230405T185545Z
LAST-MODIFIED:20230405T191342Z
UID:9981-1681689600-1681862399@ma.stat.columbia.edu
SUMMARY:FALL 2023 - ADVANCE REGISTRATION
DESCRIPTION:REGISTRATION FOR FALL CLASSES will be available during appointment times from Monday – Friday. \nAs a reminder\, all MA students are required to register every semester. An official leave of absence is the only exception to this Continuous Registration policy. \nAdvance registration for Fall 2023 is open Monday\, April 17 through Friday\, April 21 and then will reopen from Monday\, June 12 through Friday\, June 16\, and Tuesday\, June 20 through Friday\, June 23. For registration dates in August\, please visit the Registrar’s Office website. Please refer to Student Services Online (SSOL) for specific registration appointment times. All students are required to register themselves through SSOL. \nPlease note the following: \n\nYou must register for a Residence Unit or other enrollment category along with your courses. IF YOU HAVE COMPLETED TWO RU’s in the MA Program\, YOU MUST REGISTER FOR ER.  The enrollment category affects your tuition rate\, access to Columbia buildings and facilities\, health insurance\, and more. Additional information about enrollment categories may be found here.\nIn addition\, students holding a visa must register either for a full Residence Unit or for Extended Residence to maintain their visa status. If you have additional questions regarding your visa status\, you may contact ISSO. \nStudents who signed up for the Columbia Student Medical Insurance must register for a Residence Unit or other enrollment category for the fall term by August 14 in order for your health insurance to continue. If you do not register by August 14\, your health insurance will lapse.\n\nPlease write with any other questions at gsas-studentaffairs@columbia.edu.   \nHOW TO REGISTER FOR CLASSES\nIt is the student’s responsibility to stay on track with graduation requirements\, and to make sure the Faculty Adviser approves course selections prior to registering for each semester.  Schedules should be reviewed again if changes are made. \nThe GSAS Academic Calendar indicates the general dates that students can register.  The system will allow students to register only during specific registration appointment times on Student Services Online (SSOL) (accessed with UNI and password).  “REG APPTS” reveals the designated times. \nThe Columbia Course Directory and Vergil offer key information about each class including the course size\, prerequisites\, and if there are any restrictions. For example\, if a course is not open to students in GSAS\, it would not be open to an MA Statistics student. For further details about registration procedures\, students may refer to the GSAS Registration page. \nBefore registering\, the onus is on the student to reach out to their assigned Faculty Adviser to have the individual course list approved (in person or via email). \nHERE is a video that describes how to use SSOL for registration.  HERE is a video about using Vergil for planning your courses and schedule. \nRESIDENCE UNITS\nBelow are Residence Unit Categories for each of the MA Programs. For more information about Residence Units\, see also Tuition & Fees  and the GSAS Website.  Registration in the Graduate School of Arts and Sciences is a two-part process that consists of registering for both individual classes and also for a full or fractional Residence Unit.  A Residence Unit (RU) is a registration category that determines the amount of tuition. \nStudents in F-1 status must complete the program in three semesters maximum (full-time).  The number of classes each semester may vary as long as all requirements are completed within three semesters (maximum).  It is possible to graduate after two semesters\, but this is not recommended as the courses are challenging and all students must maintain a 3.0 GPA.  Always check with ISSO about international and visa-related issues.  \nFull-Time Student (Registration for one full RU or ER is considered full-time.) \n\nFirst Semester – RU\nSecond Semester – RU\nStudents may opt to take summer courses / Statistical Fieldwork\nThird Semester – ER\n\nPart-Time Student \nPart-time allows for QR (Quarter Residence Unit) or HR (Half Residence Unit).  ALL MA Program students are required to complete two RUs to graduate.  \nAll Students \nAfter completing a total of two RUs\, all students who wish to continue their studies in the MA Program for a subsequent semester must register for ER.  One can register for ER for more than one semester (e.g.\, Summer Term and Fall Term).  ALL MA Program students are required to complete two RUs to graduate.  \n\n\n\nStatistics  Categories\n \n\n\nFull Residence Unit (RU)*\n\n20 credits max (RESI) \n\n\n\nExtended Residence (ER)*\n\n20 credits max (EXRS) – Taken after completion of two Residence Units \n\n\n\nSummer ER*\n20 credits max (EXRS) – Taken during the summer semester\n\n\nHalf Residence Unit (HR)*\nThree courses max\n\n\nQuarter Residence Unit (QR)*\n\nTwo courses max \n\n\n\n\n*To find the call number for the kind of residence unit you want\, look in the Columbia Course Directory under Richard Slusarczyk – (Assc. Dean-Academic Affairs\, GSAS) who will be listed as the “instructor” for GSAS residence units.  Choose the correct unit and semester.  \nREGISTRATION GUIDELINES\nFor registration guidelines please review: \n\nRegistration Outline\nCourse Checklist Form\n\nHow many courses? \n\nThe number of classes taken must be approved by the Faculty Adviser.\nTo remain in Good Academic Standing (GPA at 3.0 and above)\, it is recommended to take no more than four classes per semester\, especially in the first semester.\nStudents on F-1 visa must register for a full RU in their first two semesters.  Most students need a third semester to complete all requirements \, but anyone who completes all their program requirements (courses and 2 RUs) may graduate.  After completing 2 RUs in GSAS\, one must register for ER to continue for a subsequent semester. \nA full RU or ER allows any number of points up to and including twenty points.\nPart-time students may register for a QR or HR\, as long as the program is completed within four years and a total of two RUs have been fulfilled.\nMost full-time students should plan for three full semesters. Completing the MA Program in two semesters requires faculty adviser approval. \n\nWhich classes to take? \n\nHere are details about the Statistics MA Program requirements.\nHere are approved electives.\nHere is information about Cross Registration.\nHere are electives grouped according to interest area\, such as finance\, data science\, public health\, insurance\, or the Ph.D. track.\nHere is a list of courses that will not count for the MA Degree in Statistics.\n\nWhat if a class is “restricted?” \n\nThis means that it is closed to MA Statistics Students.\n\nLook up the course in the Columbia Directory and review the section “Open To.”\nSome courses open to additional students on a later date.  This is often found in the “Notes” section of the course.\n\n\nHere is information about cross registration into other schools.\n\nWhat if a class is full? \n\nSSOL is the primary source for all registration including the waitlists.\nThe student should register as soon as possible to get on the electronic waitlist.\nWaiting is the next step.  Eventually\, the student’s request to join the class will either be accepted or denied.\nStudents should not email the instructor to bypass others on the waitlist.\nThere is no need to reach out to a Faculty Adviser except in a case where a class is required for graduation in the last semester of the program.\nThis is a helpful Guide for waitlists.  \nQuestions may be sent to waitlists@columbia.edu.\nIt is important to have a back-up plan\, such as an alternative course or a different section that is still open.\nIt is not permissible to remain on the waitlist if you are accepted into another section of the same course.\nIf accepted into a desired section\, please drop all other sections to open those waitlists to others.\n\nResidence Unit (RU) Status \n\nAlways review RU status.\nQuestions about tuition may be sent to gsas-finaid@columbia.edu.\nIf the total number of points goes over twenty\, there will be extra charges.\nIf a student needs to change to a lower RU\, this must be done manually by the student.  It does not happen automatically when one registers for fewer credits.\nStatistics students in the MA Program may not register for greater than fifteen points at one time.  Special permission must be obtained to register for more than fifteen.\n\nCourses must have a letter grade to count for graduation. \n\nAny course with P/F or R Grade does not count toward graduation.\nThe three CORE courses and the CAPSTONE COURSE MAY NOT be taken Pass/Fail. \n\nHow to add or drop a class after registration: \n\nThe first two weeks of the semester is called the “Change of Program Period” because students may add and drop classes in SSOL without penalty.\nYour schedule should be set at the end of the “Change of Program Period.”\n\n\nRefer to the Academic Calendar for add/drop and other deadlines.\n\nNo classes may be dropped after the LAST DAY TO DROP.  There are no exceptions.\nNo classes may be changed to R or Pass/Fail after the DEADLINE to change to PASS/FAIL or R.\n\n\nThe deadlines for half- semester courses are different\, to remain in proportion to the deadlines for full-semester courses:\n\nHalf-semester courses must be dropped within the first two weeks.\nThe deadline for Pass/Fail or for R credit is the first day of the fifth week. (Remember that core classes may not be taken for Pass/Fail or R credit.  Nor may they be taken over to receive a higher grade.)\n\n\n\n\nHERE is information about the post-Change of Program Period.\nStudents who stop attending a course without officially dropping will be assigned a grade unless they communicate with the instructor and make proper arrangements.  Students in academic challenges should reach out to their instructor and TA first\, then to the faculty adviser\, and the MA Team. \n\nThe Registration Adjustment Form (RAF) \nThe Registration Adjustment Form may NOT be used to enter a class that is noted as RESTRICTED in your SSOL schedule. The Registration Adjustment Form (RAF) may be used only under these special circumstances: \n\nDuring cross registration when the other school has no special procedure. The form should be brought to GSAS Main Office located at 107 Low Library with the signature and UNI of one’s Faculty Adviser\, the instructor\, and possibly an appropriate administrator of the other school.  An email print-out approval attached to the RAF will count for a signature.\nWhen needing to sign-up for greater than the allowed fifteen credits for MA Statistics Students. \nTo drop the last or only class. A special request must be made to the Office of Student Affairs at 107 Low Library. An application for a Leave of Absence or Withdrawal is required based upon the particular situation.\n\nUnder all circumstances\, the RAF gets handed in to 107 Low Library (GSAS) or emailed to gsas-studentaffairs@columbia.edu.  \nIMPORTANT LINKS FOR REGISTRATION\n\nUniversity Registrar– University Registrars Office\nRegistration–GSAS instructions for registration\nDirectory of Classes or Vergil – either can be used to find out more information about a class including cap and if there are any restrictions.\nGSAS Academic Calendar\nRegistration Adjustment Form– This is for special cases to add/drop that are not accessible via SSOL.\nRequest for Transcripts\nStudent Financial Services: Billing and Payments\nFAQs-Registration\n\nCROSS REGISTRATION\nThe Statistics Department does not have any influence on allowing you into a cross registered class. Cross Registration is always at the discretion of the specific School/Department/Instructor.  \nAdmittance into any course is not guaranteed.  All courses are subject to availability.  \nMost schools/departments do not allow students to cross-register until the first week of classes.  \nSchools and departments all have their own cross registration processes. Please review the links and information below. For schools/departments not listed\, review each individual website and\, if needed\, reach out to their student affairs office to inquire about their cross registration options and processes.  \n\nComputer Science\nIndustrial Engineering and Operations Research \nColumbia Business School\n\nMost courses have a prerequisite of Capital Markets “FINC B8306/ MATH G4076” or “waiver exam”.\nEmail crossreg@gsb.columbia.edu.  \n\n\nData Science Institute\n\nNon-Data Science students will be able to join a waitlist via SSOL.  \nSpace permitting\, Non-DS students will be moved from the waitlist to the class roster during the first week of classes. \nStudents are encouraged to attend the first day of class to get the syllabus and to get a pulse for the course.\nEmail:  DataScience-Registration@columbia.edu.\nFall courses open via waitlist are:\n\nCSOR W4246 – Algorithms for Data Science\nCOMS W4995 – Topics in Computer Science: Elements of Data Science\nCOMS W4995 – Topics in Computer Science: Applied Deep Learning\nCOMS W4995 – Topics in Computer Science: Applied Machine Learning\n\n\n\n\nMath Finance  \n\nAll Math Finance courses have managed waitlists.  This means that everyone who registers is automatically added to a waitlist which is managed by the instructor. \nThe first priority goes to Math Finance students.  After those students are given places\, then spaces will be available for Statistics Students.  \nSome Math Finance courses will not be available for cross registration until the first week of classes.\n\n\nBiostatistics\n\nThe approved electives in this department are 8100 level courses which all have P6103/4 as their prerequisite. \nBiostat 6000 level courses are not approved for graduate credit in the MA Program in Statistics.  \n\n\n\nMA students may register for courses at Teachers College\, as long as they get permission from TC and their adviser. \nTRANSFER CREDIT\nCourses taken in Statistics at Columbia University prior to entering the M.A. program may count toward the M.A. degree if approved by the Program Director and upon final review by the Graduate School. According to the policy of the Statistics Department\, no more than 4 classes (and a maximum of 1 RU)\, taken at Columbia prior to admission in the M.A. program may be applied towards the M.A. degree.  No Columbia course may be applied to more than one degree. \nWhen transfer credit is granted\, concomitant Residence Units may also be credited toward fulfilling the two RU requirement for the M.A. Degree.  Here is more information about transfer credit. \nA student may receive Transfer Credit by following this procedure: \n\nThere is a Transfer Credit form on the GSAS Website.  The top of this form must be filled out with student signature on the appropriate line.\nThe courses should be listed in the blank area provided.\n“Previous Institution” should be Columbia University\, i.e.\, where the courses were taken.\nThe form may be given or emailed to Jill Forger who will pass it to the Faculty Director for approval.\nThe Faculty Director will determine the number of points and RUs to be credited.\nOnce the form has been approved and signed by the Director\, it can be submitted to GSAS in 107 Low.\n\nCOURSES TAKEN FOR R GRADE OR PASS/FAIL\nAfter the deadline to drop a class\, all classes will remain on the transcript and receive a grade.  \nCOURSES TAKEN FOR R OR PASS/FAIL DO NOT COUNT TOWARD THE MA STATISTICS DEGREE.    \n\nThe decision to choose Pass/Fail or R is PERMANENT after the deadline.  \nCourses taken for Pass/Fail or R do not count toward the 30 credits required for graduation.  \nA PASS will not affect the GPA\, but a FAIL grade will be the same as an F in any course.  \n\nNot all classes are Pass/Fail eligible: \n\nCore Courses & Capstone Courses are NOT Pass/Fail eligible.  \nElective Courses:  The instructor will determine if the course is Pass/Fail eligible. Check for Pass/Fail eligibility in SSOL.  If not\, ask the instructor.  \n\nFor R Credit\, a student must make an arrangement with the instructor before the deadline.   \nGSAS DEADLINES for dropping classes and choosing Pass/Fail or R are strictly enforced.  \n\nHERE are further details on the GSAS grading system.  \n\nFrom the GSAS Website:   \nR credit and Pass/Fail (P/F) are two different marks. Unlike R credit\, the mark of P/F assesses the quality of a student’s performance. Additionally\, students taking a course Pass/Fail are evaluated on all the gradable assignments for the course.  \nStudents who elect to take a course for R credit are not required to take the final examination; however\, they must meet all other course requirements\, unless the instructor states otherwise in writing.
URL:https://ma.stat.columbia.edu/event/fall-2023-advance-registration/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230414T180000
DTEND;TZID=America/New_York:20230414T200000
DTSTAMP:20230214T215210Z
CREATED:20230214T215013Z
LAST-MODIFIED:20230214T215210Z
UID:9656-1681495200-1681502400@ma.stat.columbia.edu
SUMMARY:MA Statistics Alumni Social Event
DESCRIPTION:Join our Alumni of the Year 2022 Awards Ceremony followed by networking and socializing.  \nOpen to alumni of the MA Statistics program. An RSVP is required. If you have any questions about this event please email Violet Yin. \nWe look forward to getting everyone back together and seeing you at the event.
URL:https://ma.stat.columbia.edu/event/ma-statistics-alumni-social-event/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230412T133000
DTEND;TZID=America/New_York:20230412T143000
DTSTAMP:20230405T195025Z
CREATED:20230327T203519Z
LAST-MODIFIED:20230405T195025Z
UID:9966-1681306200-1681309800@ma.stat.columbia.edu
SUMMARY:Lunch with Dr. Gabriel Young – Informal Faculty Talks with MA Students
DESCRIPTION:Please read the MA Statistics Newsletter for details and RSVP.  \nFor more information about Dr. Gabriel Young\, see the Department of Statistics Directory. 
URL:https://ma.stat.columbia.edu/event/lunch-with-dr-gabriel-young/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230407T080000
DTEND;TZID=America/New_York:20230408T170000
DTSTAMP:20230405T203002Z
CREATED:20230313T182302Z
LAST-MODIFIED:20230405T203002Z
UID:9792-1680854400-1680973200@ma.stat.columbia.edu
SUMMARY:The Statistical Machine Learning Symposium
DESCRIPTION:The Statistical Machine Learning Symposium\, organized by the Department of Statistics  with support from the Data Science Institute (DSI) \, is a two-day workshop that will be held April 7-8\, 2023 at Columbia University\, School of Social Work\, 1255 Amsterdam Ave\, Room 311-312. It will consist of lectures from invited speakers in academia and industry\, as well as lightning talks and poster presentations from junior researchers (graduate students and postdocs from the New York area institutions). \nSee here for the schedule. \nWe invite abstract submissions  by March 21\, 2023. Decisions will be made around March 25\, 2023. \nOrganizing committee: \nDaniel Hsu \, Samory Kpotufe \, Arian Maleki \, Cindy Rush \, Eren Kizildag \, Belinda Tzen . \nList of Invited Speakers: \nMisha Belkin (UCSD)\nJoan Bruna Estrach (NYU)\nMatt Hoffman (Google)\nStefanie Jegelka (MIT)\nAdam Klivans (UT Austin)\nZongming Ma (UPenn)\nMarina Meila (UW)\nVahab Mirrokni (Google)\nNati Srebro (TTIC)\nPragya Sur (Harvard)\nMengdi Wang (Princeton)\nDana Yang (Cornell)
URL:https://ma.stat.columbia.edu/event/the-statistical-machine-learning-symposium/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230406T133000
DTEND;TZID=America/New_York:20230406T143000
DTSTAMP:20230405T194353Z
CREATED:20230327T203150Z
LAST-MODIFIED:20230405T194353Z
UID:9962-1680787800-1680791400@ma.stat.columbia.edu
SUMMARY:Lunch with Professor Philip Protter – Informal Faculty Talks with MA Students
DESCRIPTION:Topic:  “Modeling the Random Times Things Happen and How to Predict Them” \nHERE‘s more information about Philip Protter.  \nPlease read the MA Statistics Newsletter for details and RSVP. 
URL:https://ma.stat.columbia.edu/event/lunch-with-professor-philip-protter/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230330T113000
DTEND;TZID=America/New_York:20230330T123000
DTSTAMP:20230313T165726Z
CREATED:20230313T165559Z
LAST-MODIFIED:20230313T165726Z
UID:9769-1680175800-1680179400@ma.stat.columbia.edu
SUMMARY:Professional Workshop:  Networking & Mentorship
DESCRIPTION:About the Workshop: Are you hesitant in reaching out to professional contacts on LinkedIn? Or you can not figure out how to start the process? Don’t worry\, come join this hands on workshop that Violet will tell you how to correctly connect with different contacts\, how to set up the right strategy that can enhance your reach. You will also learn how to maximize the benefit of a mentorship relationship that is already set up either through the Stats alumni mentorship program or built by yourself.
URL:https://ma.stat.columbia.edu/event/professional-workshop-networking-mentorship/
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