Data Science Graduate Program

Harvard University


Issuing School Harvard Extension School
Description from the School

What You'll Learn Through the master’s degree program in data science 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.

Your Harvard Degree Master of Liberal Arts (ALM) in Extension Studies, field: Data Science.

In-State Cost $35,000
Out-of-State Cost $35,000
Delivery Model Hybrid
Completion Time
Diploma Different? No
Application Deadline 1 Jun 17, 2021
Application Deadline 2 Sep 20, 2021
Alumni Companies
Exam Required No Info
Transfer Available No
Credits Needed to Complete 48
College Funded Aid No
Admission Requirements

Admission

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. If you are unsure, and because the Admissions Office makes all final determinations about program eligibility, we strongly encourage you to inquire with us in advance of enrolling in any courses at Harvard Extension School.

Foreign bachelor’s degrees must be evaluated, and the Admissions Office makes final determinations about eligibility. Refer to Admission Requirements for International Students for more information.

Earning 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.

Applying to the Degree Program

During the semester of your second degree course, submit the official application to the program.

Don’t delay! To achieve academic success and meet your expected graduation date, it is critical to prioritize the two degree courses for admission and apply before completing subsequent courses. By doing so, you’ll avoid the delayed application fee and gain access to exclusive degree candidate privileges.

Eligible students who submit a complete and timely application will have 10 more courses after admission to earn the degree. A complete application includes required Harvard courses, grades, cumulative GPA and a passing score on our online test of critical reading and writing skills or completion of the program elective EXPO 34 Business Rhetoric with a grade of B or higher. Tip: Take the test right away, in your first semester at Harvard.

For more details about eligibility, the application process, and application fees, visit Admissions.

Courses

Required Courses

12 Graduate Courses

1 Advanced Python for Data Science 1 Data Modeling or Introduction to Statistical Modeling 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.

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