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The Master of Science (SM) in Data Science at Harvard University is an elite, full-time, STEM-designated graduate program offered jointly by the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and the Department of Statistics within the Graduate School of Arts and Sciences (GSAS). Designed for students with strong quantitative and computational backgrounds, the program emphasizes rigorous training in statistical modeling, machine learning, optimization, and algorithm design.
Harvard’s MS in Data Science prepares students not only to build intelligent systems and extract meaning from massive datasets, but also to think critically about data ethics, policy, and real-world impact—bridging theory and practice at the highest level.
Program Format & Duration
Full-time only, residential program
Duration: 1.5 to 2 years
STEM-designated (OPT eligible for international students)
Cohort-based with a selective admissions process
GRE optional (not required)
Core Curriculum Components
The program requires 12 half-courses (48 credits) and provides a strong theoretical foundation along with practical tools and techniques used in industry and academia.
Core Coursework
Students must complete courses in the following areas:
Data Science Core
Stat 110 – Introduction to Probability
CS 181 – Machine Learning
CS 207 – Systems Development for Computational Science
Stat 121 – Statistical Inference and Modeling
AC 209 – Data Science I & II
Mathematics & Computation
Numerical Methods
Optimization and Algorithms
Data Structures
Ethics and Communication
Data Science Capstone or Research Seminar
Courses on Data Privacy, Fairness, and AI Ethics
Communication in Data Science (oral and written)
Electives (Examples)
Students may choose from advanced electives, including:
Deep Learning
Bayesian Statistics
Natural Language Processing
Data Systems and Infrastructure
Computational Biology
Causal Inference
Information Visualization
Although the MS is primarily academic, Harvard emphasizes hands-on learning and real-world application through research, capstone projects, and cross-disciplinary collaborations.
Capstone or Research Project
Students complete a Capstone Experience involving a significant data science problem, either in industry or research
Projects may be in collaboration with Harvard labs, faculty, or external partners
Emphasizes technical depth, stakeholder communication, and real-world deliverables
Research Opportunities
Students have the opportunity to work with top faculty across Harvard’s interdisciplinary centers, such as:
Institute for Quantitative Social Science (IQSS)
Center for Research on Computation and Society (CRCS)
Harvard Data Science Initiative (HDSI)
Harvard-MIT Health Sciences and Technology (HST)
Students may also assist in academic research or co-author papers in AI, health data, economics, or social impact domains.
Graduates of Harvard’s MS in Data Science program are highly sought after by top-tier employers, research labs, and PhD programs due to their analytical strength, coding expertise, and leadership potential.
Career Outcomes
Top Employers
Skills Developed
Salary Overview-
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What This Means for You-
Bachelor’s Degree: Hold a U.S. bachelor’s or international equivalent (3‑ or 4‑year) from an institution of recognized standing.Transcripts: Upload transcripts from all postsecondary institutions; international transcripts must be certified originals, with official versions submitted if matriculating.Statement of Purpose: Submit a statement outlining your academic/professional background, goals, interest in data science, and how your experience demonstrates sufficient quantitative and computational preparation. Letters of Recommendation: Provide three letters of recommendation via the GSAS application.GRE Scores: Not accepted—do not submit GRE General or Subject Test scores. English Proficiency: Demonstrate English fluency (for international applicants) via prior English-medium degree and certified fluency demonstration; SEAS may require additional documentation.Quantitative & Computational Background: Demonstrate knowledge of calculus, linear algebra, differential equations, probability/statistics, object-oriented programming in Python or R, and basic computer science concepts (e.g. algorithms, data structures).Application Fee: Pay the GSAS online application fee ($105; fee waivers available). Admission Deadline: Apply by Dec 1, 2024 at 5:00 pm (EST) for fall admission.Oral Exam (at graduation): Be prepared to complete a final oral examination before a faculty committee on your research or project topic.Three‑Year Bachelor’s Degrees: Harvard GSAS accepts three- or four-year bachelor’s degrees from recognized institutions, ensuring applicants have an equivalent undergraduate degree.WES Evaluation: International applicants must submit official academic transcripts sent directly from their institutions, and credential evaluations like WES are optional as additional documentation, not replacements for transcripts.Data AnalystData ScientistBusiness AnalystStatisticianStatistical ProgrammerSAS ProgrammerMachine Learning EngineerDeep Learning EngineerAI ResearcherData EngineerBI DeveloperData ArchitectAnalytics ConsultantAdvisory ConsultantQuantitative AnalystRisk AnalystOperations AnalystMarketing AnalystResearch ScientistInsights AnalystForecasting AnalystHealthcare Data AnalystFinancial Data AnalystProduct Analyst
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