STEM
Harvard University, United States
Master’s jointly led by the Computer Science and Statistics faculties at the intersection of statistical methodology, computational science and application domains, with a focus on reproducible analysis, visualization, communication and ethics.
Faculty: Harvard John A. Paulson School of Engineering and Applied Sciences | Department: Data Science | Duration: At least 3 semesters (one and a half academic years) | Study mode: full-time | Intake: Fall | Location: Cambridge, MA, United States
Twelve courses; strong preparation in statistical modelling, machine learning, optimization, management and analysis of massive data sets, and data acquisition. An optional fourth semester allows extra courses or a master’s thesis.
Paths include data analyst, database developer, data scientist, analytics-enabled business roles and data system developer.
No formal prerequisites. Applicants need working knowledge of calculus, linear algebra and differential equations, familiarity with probability and statistical inference, fluency in at least one programming language such as Python or R, and an understanding of basic computer science concepts.
USD 67,504 a year (2026-2027). Full-year tuition (see Harvard Griffin GSAS cost of attendance page for second-year rate) Source
Intake: Fall
Duration: At least 3 semesters (one and a half academic years)
Apply through the official page: https://gsas.harvard.edu/apply
STEM
Harvard University, United States
STEM
Harvard University, United States
STEM
Harvard University, United States
STEM
Harvard University, United States
STEM
Harvard University, United States
STEM
Harvard University, United States
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