Overview
Why Data Science at Harvard University?Harvard University stands out as a premier institution renowned for its academic excellence and innovative research. The Data Science programme is designed to meet the growing demand for skilled professionals in this fast-evolving field. With a strong emphasis on practical applications, students benefit from access to cutting-edge resources and a vibrant network of alumni. The university's commitment to interdisciplinary collaboration enhances the learning experience, providing students with unique insights and opportunities. Harvard's reputation for quality education, coupled with its extensive partnerships, ensures that graduates are well-prepared to tackle the challenges of the data science landscape.
Tuition Fee BreakdownThe tuition fees for the Data Science Master’s programme at Harvard University are structured as follows:
- International Fee: USD 38,640 per full programme
- National Fee: USD 38,640 per full programme
- Local Fee: USD 38,640 per full programme
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum is designed to provide a comprehensive understanding of data science, incorporating both core and elective courses. Key components of the syllabus include:
- Advanced Machine Learning
- Data Mining and Artificial Intelligence
- Dynamic Modelling and Forecasting in Big Data
- Data Science and AI: Ethics, Governance, and Laws
- Introduction to Natural Language Processing
- Electives such as Artificial Intelligence, Cloud Services, and Remote Sensing Data
Students also engage in a capstone project, allowing for practical application of their skills in real-world scenarios.
Industry DemandThe demand for data science professionals is surging across various sectors, including healthcare, finance, and technology. As organisations increasingly rely on data to inform decision-making, the need for experts who can interpret and analyse data is paramount. Graduates from Harvard's Data Science programme will be well-equipped to meet these industry needs.
Careers with Data ScienceGraduates of the Data Science programme can pursue a variety of roles in diverse industries. Alumni have found success in positions such as:
- Data Scientist
- Software Engineer
- Analytics Manager
- Data Engineer
- Director of Data Science
- Machine Learning Developer
- Big Data Architect
Notable employers of Harvard alumni include leading companies such as Adobe, Google, and Deloitte, reflecting the programme's strong alignment with industry requirements and its effectiveness in preparing students for impactful careers.
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
- Apply before
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Language
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Credits
Delivered
Campus Location
- Cambridge, United States
Disciplines
Data Science & Big Data View 474 other Masters in Data Science & Big Data in United StatesWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Academic requirements
English requirements
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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.
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.
Get your student insurance nowStarting 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
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International
38640 USD/yearTuition FeeBased on the tuition of 38640 USD for the full programme during 12 months. -
National
38640 USD/yearTuition FeeBased on the tuition of 38640 USD for the full programme during 12 months. -
In-State
38640 USD/yearTuition FeeBased on the tuition of 38640 USD for the full programme during 12 months.
Living costs for Cambridge
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
Interested in financing your studies? Find a student loan that works for you.
DISCLAIMER – Subject to credit approval, loans are made by Bank of Lake Mills or MPOWER Financing, PBC. Bank of Lake Mills does not have an ownership interest in MPOWER Financing. Neither MPOWER Financing nor Bank of Lake Mills is affiliated with the school you attended or are attending. Bank of Lake Mills is Member FDIC. None of the information contained in this website constitutes a recommendation, solicitation or offer by MPOWER Financing or its affiliates to buy or sell any securities or other financial instruments or other assets or provide any investment advice or service. 2022 © MPOWER Financing, Public Benefit Corporation NMLS ID #1233542. 1101 Connecticut Ave NW Suite 900, Washington, DC 20036
Funding
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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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