Overview
Key features
Through the Data Science degree program offered by Harvard University you:
- Develop an in-depth understanding of data science methods in predictive modeling, data mining, machine learning, artificial intelligence, data visualization, and big data.
- Build the skills to explore, analyze, manage, and visualize large data sets using the latest technologies.
- Apply data science and analytical methods to address data-rich problems from a variety of fields, think critically about data, and drive decision making.
- Develop the skills for quantitative thought leadership, including the ethical and legal dimensions of data analytics, as well as effective communication and collaboration.
This degree includes 12 courses. At least one three-week, precapstone course is taken on campus.
- Get started with two admission courses. You begin by completing two stipulated degree courses as outlined on the degree requirements page. This is your opportunity to demonstrate your commitment and ability to perform well as a Harvard student.
- Apply to the program. While you are completing your second admission course, you submit your application. We have application periods in the fall, spring, and summer.
- Continue your studies, online and on campus. As you progress through the program, you choose from courses offered on campus or online, in the fall, spring, or summer. To fully experience Harvard, you take the three-week precapstone course on campus.
- Complete a capstone. You’ll work in teams to apply knowledge and skills gained in the program to a data science research project in collaboration with industry, government, or academic partners. By selecting project ideas from a range of fields and gaining hands-on experience in data science practice, you’ll produce publishable-quality results and present your work to peers and collaborating organizations.
- Graduate with your Harvard degree. You participate in the annual Harvard Commencement, receiving your Harvard University degree: Master of Liberal Arts (ALM) in Extension Studies, field: Data Science.
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
-
- Starting
- Apply before
-
Language
Pass IELTS with Swoosh English! Sign up for a free writing masterclass or claim your exclusive 25% Studyportals discount and accelerate your preparation by taking a course designed by experts to get you the results you need.
Credits
Delivered
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
Pass IELTS with Swoosh English! Sign up for a free writing masterclass or claim your exclusive 25% Studyportals discount and accelerate your preparation by taking a course designed by experts to get you the results you need.
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.
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 Fee
-
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.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
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.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility