Data Science, Master | Online (optional) | Harvard University | Cambridge, United States
12 months
Duration
37200 USD/year
37200 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The data landscape is rapidly changing and transforming nearly every discipline. In the Data Science degree program offered by Harvard University, you will develop the skills necessary to analyze, discover, and innovate in a data-rich world. And you’ll gain hands-on experience conducting interdisciplinary data science research.

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

Credits

48 SCH

Delivered

On Campus, Online

Academic requirements

GPA admission requirements GPA
3
3 (recommended)

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
  • International

    37200 USD/year
    Tuition Fee
    Based on the tuition of 37200 USD for the full programme during 12 months.
  • National

    37200 USD/year
    Tuition Fee
    Based 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.

Financing partner MPOWER Financing Student Loans between $2,001 - $100,000
Financing partner 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.

Our partners

Data Science
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Harvard University
Data Science
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Harvard University

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