Welcome to the Career Development Hub for Columbia University’s M.A. in Statistics program.
Located in the heart of New York City, our program prepares students with advanced statistical knowledge, strong quantitative and computational skills, and hands-on experience applying data-driven methods to real-world challenges.
Our Career Development team bridges the gap between academic excellence and industry opportunity, connecting talented students with employers across Data Science, Quantitative Research, Machine Learning Engineering, Quantitative Finance, and other technology-driven fields. We work closely with industry partners to build meaningful relationships and create pathways for students to translate their technical expertise into impactful careers.
For Employers
Partner with Columbia’s M.A. in Statistics to connect with talented students equipped with advanced statistical knowledge, machine learning expertise, data science capabilities, and strong computational skills. Our students are prepared to tackle complex analytical challenges and contribute across technology, finance, healthcare, consulting, and research.
Our Career Development team works directly with employers to facilitate meaningful connections and create recruiting opportunities aligned with your organization’s hiring needs.
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Access Our Student Resume Book: Connect directly with candidate pools by requesting our curated resume books, featuring students actively seeking full-time roles, summer internships, or part-time opportunities.
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Post Jobs & Internships: Share full-time positions and Summer/Fall internships opportunities with our student population through our career resources and recruiting channels.
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On-Campus & Virtual Recruiting: Raise your organization’s profile through employer information sessions, technical recruiting events, presentations, and targeted engagement opportunities—either on campus or virtually.
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Career Fairs & Networking Events: Participate in our department-specific networking events, industry panels, and career expos to connect with students skilled in Python, R, machine learning, and statistical modeling.
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Capstones & Industry Sponsorships: Collaborate on real-world data projects, offer guest lectures, or sponsor departmental events to elevate your employer brand among Columbia data leaders.
Employer Contact:
To request a resume book, post a job or discuss custom recruiting strategies, please contact:
David Fitzgerald
Associate Director of Career Development and Industry Relations
Email: [email protected]
Hire Elite Analytics & Technical Talent
Columbia’s M.A. in Statistics program prepares students and graduates to tackle complex, data-driven challenges through advanced statistical theory, computational methods, machine learning, and quantitative analysis. With technical skills applicable across industries, our talent pipeline spans leading organizations in finance, technology, healthcare, and consulting.
Our students and alumni have pursued opportunities at organizations in various sectors including:
Financial Services: Capital One, JPMorganChase, Barclays, Goldman Sachs, Two Sigma, Balyasny Asset Management, CITIC Securities, Susquehanna International Group (SIG), and more.
Technology, AI & Cloud Infrastructure: Amazon/AWS, Microsoft, Google, ByteDance, Tencent, Palantir Technologies, and more.
Healthcare & Biotechnology: Pfizer, CVS Health, Memorial Sloan Kettering Cancer Center, Flatiron Health, IQVIA, and more.
Consulting & Business Strategy: Deloitte, EY, KPMG, PwC, Boston Consulting Group (BCG), and more.
Whether your team is hiring Data Scientists, Machine Learning Engineers, Quantitative Researchers, or Software Engineers, Columbia’s M.A. Statistics talent brings a strong foundation in mathematics, statistics, programming, and analytical problem-solving to today’s most challenging technical and business problems.
Connect with our Career Development team to explore opportunities to recruit Columbia’s quantitative and analytical talent.
For Students
Your career journey in quantitative analysis and data science starts here. The Columbia University M.A. in Statistics program provides personalized guidance, direct industry connections, and structured coursework to help you navigate the job market and achieve your professional goals.
Professional Development Course (GR5391)
Format: 0-credit, Pass/Fail course; mandatory during your first Fall semester.
Course Overview
This foundational course connects students with program alumni, senior executives, industry leaders, and guest speakers who share practical insights into career development and the realities of today’s workplace. Through interactive workshops, industry panels, and candid conversations with professionals, students explore diverse career paths from startup environments and quantitative finance to data science, technology, and corporate leadership.
The curriculum combines essential career-building skills with firsthand industry perspectives, helping students translate their technical expertise into professional opportunities.
Course Benefits & Curriculum Highlights
Build Essential Career Materials: Develop compelling resumes, tailored cover letters, polished LinkedIn profiles, and a professional presence that helps you stand out to employers.
Learn from Industry Leaders: Explore emerging trends, business innovation, and the evolving role of data and AI through discussions with professionals from organizations such as McKinsey & Company, Goldman Sachs and Google. Topics include generative AI and communicating data-driven insights effectively.
Explore Diverse Career Paths: Gain exposure to startup founders and executives, quantitative finance professionals, and technology leaders.
Strengthen Negotiation & Communication Skills: Participate in interactive sessions covering offer negotiations, interview preparation, strategic networking, and executive communication.
Navigate Your Job Search Strategically: Define career goals, develop effective job-search strategies, build meaningful professional relationships, and make use of resources such as GSAS Compass and peer collaboration to support your career development.
Connecting with Employers & Industry Leaders
Columbia’s M.A. in Statistics program connects students with employers through recruiting sessions, networking events, guest panels, and company office visits. During the school year, students engage with employers across these industries with event examples:
Quantitative Finance, Banking & Asset Management: Barclays, BlackRock, BNP Paribas, Capula Investment Management, Citi, Goldman Sachs, Jefferies, Neuberger Berman, Squarepoint Capital, Susquehanna International Group (SIG), and UBS.
Fintech, Cryptocurrency & Data Analytics: Quantbot Technologies, RVI Group, and the Bitcoin Conference.
Consulting & Global Opportunities: BCG X and Tata Global Internships.
Immersive Industry Experiences: Specialized company visits, including the Quantbot Office Trek, and participation in the Rebellion Quant Conference.
These experiences help students expand their professional networks, learn directly from industry practitioners, explore career opportunities, and build relationships that can support their internship and full-time job searches.
Stay Connected
Follow our LinkedIn page for updates on student career activities, employer engagements, office visits, and upcoming recruiting events.
Career Services & Resources
Our Career Development team provides guidance and practical resources to help M.A. Statistics students translate their technical expertise into successful career outcomes.
Individual Career Coaching: Receive personalized guidance on resume development, networking, career planning, and targeted job-search strategies.
Interview Preparation: Strengthen your performance through coding practice, mock technical interviews, case interviews, and behavioral interview preparation, with constructive feedback to help you improve.
Professional Development Workshops: Build essential career skills through workshops on data science and quantitative interview preparation, offer negotiations, strategic networking, and professional branding.
Career Planning & Job-Search Strategy: Identify relevant opportunities, develop an effective job-search plan, and learn how to position your statistical, mathematical, and computational skills for roles across industries.
Our goal is to complement the program’s rigorous academic training with the professional skills, industry exposure, and individualized guidance students need to pursue careers in Data Science, Quantitative Research, Machine Learning Engineering, Quantitative Finance, and related fields.
Academic Certifications and Proof of Enrollment
If official proof of student enrollment is required by an employer or another entity, please visit the Office of the University Registrar. Currently matriculated students can request enrollment certification via SSOL. For academic certification, an official document provided by the University Registrar verifying your dates of attendance, award of degree, and/or student status (full-time or part-time) by semester, please visit the Office of the University Registrar: Certifications.
International Students
Please review the Statistical Fieldwork Course GR5399. OPT – Optional Practical Training for International Students
- General information on OPT and CPT can be found on the ISSO Website.
- Read about Post-Completion OPT HERE
- Details on the OPT extension for students with STEM degrees can be found HERE.
- ISSO news and events may be found HERE.
1) Post-Completion OPT: Students beginning their final semester will receive an email from the Department about approval to apply for OPT.
2) Pre-OPT Options: After completing two semesters on campus (fall and spring) international students may qualify for a summer or fall internship through application to Pre-Completion OPT. Read more about Pre-OPT HERE.
ISSO
The International Students and Scholars Office is the top resource in terms of all visa issues. The ISSO office has walk-in advisory hours all week and is located at 524 Riverside Drive between W. 122 St. and Tiemann Place.
Information on how to invite family and friends for Graduation or for other events is HERE.
Student Employment information can be found HERE.
Additional Resources
MA Weekly Newsletter – Career Announcements
Receive weekly e-mail updates on job opportunities. If you are a graduate of the program, please send any internship or job leads you may have to [email protected].
Join the M.A. Programs in Statistics, Columbia University Networking Group to connect with alumni and get job leads. Recruiters and hiring managers always check your LinkedIn profile, so make sure it is updated regularly.
In addition to in-house Career Development support, M.A. in Statistics students can schedule one-on-one career advising appointments with GSAS Compass staff and attend their workshops, networking events, and career development programs.
Additional Media
To watch recordings of our workshops, panels, and other sessions, you may view them in the password-protected section of this website, MA Students Only. Password will be shared via the MA Weekly Newsletter.
ALP – American Language Program – Improve your communication skills. Find out below which services are available to our MA Statistics students for NO COST. Some details can be found here.
Current MA Statistics students can write to Joel Chaffee at [email protected] with the following information:
- Last Name, First Name
- UNI
- Class choice. (Where applicable, be specific as to AM or PM section.)
Mr. Chaffee will assign an online placement test for you.
The Chazen English Program
Information on the program at the Columbia Business School can be found here.
The Columbia College Writing Center
Available to graduate students at GSAS. Take advantage of a FREE service that is extremely helpful for anyone preparing written career materials or academic writing. Excellent written communication is critical for your success in the job search. This service will not provide career advice but will check English grammar and content. Find details here.