Master of Science in Data Science, Harvard University

Cambridge - Massachusetts, Massachusetts

18 Months

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About this course

The Master's in Data Science program is a collaborative effort between the Computer Science and Statistics faculties, focusing on training students in this rapidly expanding field. It combines statistical methodology, computational science, and diverse application areas. The program emphasizes skills like statistical modeling, machine learning, optimization, managing large data sets, data acquisition, and ethical considerations. Students are expected to complete 12 courses over at least 3 semesters on campus, with options to extend for additional courses or a master’s thesis. This program prepares graduates to handle data-driven decision-making in various professional contexts, making it a valuable stepping stone for careers in data science and analytics.

Why this course is highly recommended

Given the increasing reliance on data-driven decision-making across industries, expertise in data science is highly sought after. This program not only provides strong technical training but also emphasizes collaboration, reproducibility, ethical considerations, and communication skills. Its comprehensive curriculum ensures that graduates can adapt to various roles, from data analysts to data scientists or managers, with the flexibility to specialize further or pursue advanced research.

Specialisation

The program offers an interdisciplinary approach that integrates statistical modeling, machine learning, data management, and visualization, equipping students with a broad skill set across data science applications.

Course fees

Application fees

1st year tuition fees

Living cost

Degree requirements

To earn the Master’s in Data Science, students must complete 12 courses over at least three semesters, with a possible extension into a fourth semester for additional coursework or a thesis. The program does not specify formal prerequisites, but applicants should have background knowledge in calculus, linear algebra, differential equations, probability, statistical inference, programming (Python or R), and computer science fundamentals.

English language test

DUOLINGO

IELTS

6.5

PTE

TOEFL

Career prospects

Graduates can pursue various paths in data science, including roles like data analyst, data scientist, database developer, or data system developer. The program supports transitions into more specialized positions by expanding expertise in artificial intelligence, statistics, and big data analytics. The skills learned also facilitate roles as business analysts or data-driven managers, offering broad career flexibility.

FAQs

Are there any prerequisites for this master’s program?

While there are no formal prerequisites, applicants should have background knowledge of calculus, linear algebra, differential equations, probability, statistical inference, programming in Python or R, and basic computer science concepts.

How long does it take to complete the degree?

The program requires at least 3 semesters on campus, typically lasting one and a half academic years. Some students may extend into a fourth semester to undertake additional courses or a thesis.