Overview

Why Data Science at Harvard University?

Harvard University stands out as a premier institution, renowned for its academic excellence and research capabilities. The Data Science programme is a collaborative effort between the Computer Science and Statistics faculties, ensuring a multidisciplinary approach to education. Students benefit from access to cutting-edge facilities and resources, as well as partnerships with industry leaders, enhancing their learning experience and career prospects. The programme's strong emphasis on statistical modelling, machine learning, and data management prepares graduates to meet the growing demand for skilled professionals in various sectors.

Tuition Fee Breakdown

Currently, specific tuition fees for the Master of Science in Data Science are not available. For detailed information on costs and potential funding options, please visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum for the Master of Science in Data Science encompasses a range of essential topics, structured to provide a thorough grounding in the field. Students are required to complete 12 courses, covering areas such as:

Statistical modelling
Machine learning
Data acquisition and management
Data visualisation
Collaborative problem solving
Ethical considerations in data science
Reproducible data analysis
Massive data set analysis
Optimization techniques
Experimental design
Team collaboration in data projects
Policy and privacy in data handling

Industry Demand

The demand for data science professionals continues to rise as organisations increasingly rely on data-driven decision-making. Graduates of the programme are well-equipped to enter diverse industries, including technology, finance, healthcare, and marketing, where their skills in analytics and data interpretation are invaluable.

Guaranteed Work Experience

The programme does not explicitly mention guaranteed work experience or internships as part of its curriculum.

Careers with Data Science

Graduates of the Master of Science in Data Science can pursue a variety of career paths, including roles such as data analysts, data scientists, and database developers. They may also find opportunities as functional business analysts or data-driven managers. The skills acquired during the programme enable alumni to work in sectors that value data analytics, such as technology, finance, and healthcare, positioning them for success in a rapidly evolving job market. By leveraging their knowledge in artificial intelligence and machine learning, graduates can transition into advanced roles within the field, further enhancing their career prospects.

Programme Structure

Courses include:

Data Science

Topics in Data Science

Scientific Computing: Stochastic Methods for Data Analysis, Inference, and Optimization

Systems Development
Computational Science

Critical Thinking in Data Science

Key information

Duration

Full-time
- 18 months

Start dates & application deadlines

Starting 2026-09-03 00:00:00
- Apply before 2025-12-01 00:00:00

Language

English

IELTS

6.5

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TOEFL^® IBT

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Credits

45 SCH

Delivered

On Campus

Campus Location

Cambridge, United States

Disciplines

Data Science & Big Data View 473 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

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

IELTS

6.5

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TOEFL^® IBT

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Other requirements

General requirements

Online application form

Statement of Purpose

Three letters of recommendation submitted electronically

Transcripts; please upload copies of all transcripts to the Academic Background section of the online application; unofficial copies are acceptable.

C.V. or Resume

If required, an official TOEFL or IELTS score report. The school code to use to submit your TOEFL score is 3451.

The application fee of $105.00

Supplemental Data form

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

Additional medical costs (i.e. dental)
Repatriation, if something happens to you or your family
Liability
Home contents and baggage
Accidents
Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

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Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Harvard University and/or in United States, please visit Student Insurance Portal.

Tuition Fee

To always see correct tuition fees

International

65536 USD/year

Tuition Fee

Based on the tuition of 98304 USD for the full programme during 18 months.
National

65536 USD/year

Tuition Fee

Based on the tuition of 98304 USD for the full programme during 18 months.

$65,536 (first year); $32,768 (second year: one term only)

Living costs for Cambridge

1814 - 3756 USD /month

Living costs

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

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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