Overview

The Data Science programme at Harvard University is designed to equip professionals with the advanced technical and analytical expertise required to navigate today’s data-driven landscape. Students engage with complex datasets to master modern methodologies in artificial intelligence, data mining, and visualisation. This curriculum ensures graduates can apply critical thinking to solve intricate real-world challenges across various global industries.

Why Data Science at Harvard University?

Studying at this institution provides access to a rigorous academic environment where 96% of recent graduates recommend the curriculum. Students benefit from the Harvard Innovation Labs and career advising through the Mignone Centre for Career Success. The programme also offers a unique capstone experience, allowing learners to collaborate with real-world industry partners, such as NASA and NOAA, to drive innovation. Upon completion, graduates join the prestigious Harvard Alumni Association, a global network of over 400,000 members.

Tuition Fee Breakdown

International fee: USD 3440 per module
National fee: USD 3440 per module
Local fee: USD 3440 per module

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum consists of 12 graduate courses, blending foundational theory with elective specialisations. Modules may include:

Data Science and Engineering
Statistical Data Modeling
Machine Learning, Data Mining, and Artificial Intelligence
Dynamic Modeling and Forecasting in Big Data
Data Mining, Discovery, and Exploration
Data Science and Artificial Intelligence: Ethics, Governance, and Laws
Natural Language Processing
Deep Learning
Large Language Models

Careers with Data Science

Graduates are prepared for high-demand roles in a field projected to grow significantly by 2030. The programme develops skills essential for developing data mining technologies, writing secure data software, and implementing automated intelligent systems. Alumni have secured positions at leading global organisations, including Google, Deloitte, Adobe, Salesforce, and Ford. Common professional titles for graduates include:

Data Scientist
Machine Learning Developer
Analytics Manager
Big Data Architect
Software Engineer
Data Engineer
Director of Data Science
Computer Systems Analyst

Programme Structure

Courses include:

The degree assumes knowledge of Python (CSCI 7), R programming (STAT 104), and Calculus (MATH 15). Specifically, you need to be able to write functions in R and Python. If you don’t have these skills, you should complete the above courses before registering for degree-applicable courses.

12 Graduate Courses

1 Advanced Python for Data Science
4 data science core courses
4 data science electives
- EXPO 34 is an elective option
Precapstone (on campus)
Capstone

You enroll in the precapstone and capstone courses in back-to-back semesters and in your final academic year.

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2027-09-02 00:00:00
- Apply before 2026-12-01 00:00:00

Language

English

Duolingo English Test

125

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TOEFL^® IBT

100

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PTE Academic

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IELTS

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Credits

48 SCH

Delivered

On Campus, Online

Campus Location

Cambridge, United States

Disciplines

Data Science & Big Data View 471 other Masters in Data Science & Big Data in United States

This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes

Total alumni

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Academic requirements

GPA

3 _{(recommended)}

English requirements

Duolingo English Test

125

Take A Free Practice Test!

TOEFL^® IBT

100

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Admissions: Earn Your Way In

To begin the admission process, you simply register—no application needed—for the following two, graduate-level degree courses (available online):
- 1 Advanced Python for Data Science
- 1 Data Modeling or Introduction to Statistical Modeling

The two courses don't need to be taken in a particular order or in the same semester, but each course must be completed with a grade of B or higher, without letting your overall Harvard cumulative GPA dip below 3.0.

Eligibility: Before you enroll in any degree-applicable courses, you must possess a four-year regionally accredited US bachelor's degree. You cannot already have or be in the process of earning a master's degree in Data Science or a related field. Foreign bachelor’s degrees must be evaluated, and the Admissions Office makes final determinations about eligibility.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

3440 USD / module

≈ 3440 USD / module
Out-of-State

3440 USD / module

≈ 3440 USD / module
Domestic

Applies to you

In-State

3440 USD / module

≈ 3440 USD / module

Living costs

Cambridge

United States

1814 - 3756 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Financing

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Data Science.

Available Scholarships

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About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying Computer Science & IT

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

Cambridge

Financing

Funding

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Scholarships Information

Available Scholarships

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