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Overview
KEY LEARNING OUTCOMES
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.
PROGRAM OVERVIEW
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
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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- Starting
- Apply before
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Language
English
IELTS 7
PTE Academic 70
TOEFL® IBT 100
Credits
48 SCH
Delivered
On Campus, Online
Disciplines
Statistics Data Science & Big Data View 512 other Masters in Data Science & Big Data in United StatesAcademic requirements
GPA 3
3 (recommended)
English requirements
IELTS 7
PTE Academic 70
TOEFL® IBT 100
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
To alway see correct tuition fees
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International
37200 USD/yearTuition FeeBased on the tuition of 37200 USD for the full programme during 12 months. -
National
37200 USD/yearTuition FeeBased on the tuition of 37200 USD for the full programme during 12 months.
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
Interested in financing your studies? Find a student loan that works for you.
MPOWER Financing Student Loans between $2,001 - $100,000 Prodigy Finance Loans for tuition and living costs from $15,000 Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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