MITx MicroMasters® Program Pathway to the Data Science Degree Program
Designed for students who’ve completed the MITx MicroMasters in Statistics and Data Science, this degree pathway offers a core curriculum of data science. Your degree courses will prepare you to be a thought leader in data analytics, big data, and data science research.
Key Learning Outcomes
Through the graduate 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 think critically about data, drive decision making and address data-rich problems in a variety of fields such as business, health, technology, social sciences, and the environment.
- Develop the skills for quantitative thought leadership, including the ethical and legal dimensions of data analytics, as well as effective communication and collaboration.
In this pathway, Harvard Extension School will credit three courses toward the data science program for earning the MITx MicroMasters Program in Statistics and Data Science. One course will cover the required statistics requirement and the other two will count as electives.
To earn the master's degree, you complete the following nine courses (36 credits).
9 Graduate Courses
Courses can be completed online or on campus. The precapstone course must be completed on-campus in either a three-week January or summer session.
- Advanced Python for Data Science
- 4 data science core courses
- 2 data science electives
- EXPO 34 is an elective option
- Precapstone (on campus)
Many courses can be taken online, but you are required to come to Cambridge for the precapstone course, which offers you in-person access to faculty, campus resources, and the academic community.
The precapstone is ordinarily offered:
- On campus during the 3-week January session or
- On campus during the 3-week summer session.
International Students Who Need a Student Visa
To meet the on-campus requirement, you complete the precapstone in the summer. You can easily request an I-20 for the F-1 student visa through Harvard Summer School's three-week session. For more information, see the International Student Study Options page.
How to Apply
Earn Your Way In
After you’ve earned the MicroMasters Program credential in Statistics and Data Science, you begin the admission process by simply registering—no application needed—for the following graduate-level course:
- 1 Advanced Python for Data Science
Grade requirements: You must complete the Advanced Python for Data Science course with a grade of B or higher, without letting your overall Harvard cumulative GPA dip below 3.0.
Eligibility: Prior to beginning this pathway, which starts with your first MITx course, you need to possess a four-year, regionally accredited US bachelor's degree or its foreign equivalent. You cannot already have or be in the process of earning a master's degree in data science or related field.
Submitting Your Application
During the semester that you are completing Advanced Python for Data Science, submit the official application to the program. Don't delay! It is critical to your admission and degree program success to prioritize the degree course required for admission and apply to the program before completing subsequent courses. We have fall, spring, and summer admission cycles.
If you submit a complete and timely application, you will be admitted, after which you’ll have eight more courses to take to earn the degree. A complete application includes your MITx MicroMasters Program credential in Statistics and Data Science, as well as the required Harvard course, 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 the delayed application fee, visit Admissions.
MicroMasters Program Admission Pathway Policy
The MITx MicroMasters Program credential in Statistics and Data Science must be earned prior to completing any degree-applicable courses at Harvard. Further, the credential cannot be more than three years old at the time of application. Credit is only granted for the entire MicroMasters Program; Harvard credit will not be awarded for individual courses.
Affordability is core to our mission. Our 2019–20 graduate tuition is $2,840 per course. The total tuition cost of earning the graduate degree is approximately $25,560.
There are a number of financial aid options available once you’re admitted to the program.
Completing Your Degree
Maintain a Cumulative Grade Point Average (GPA) of 3.0 or Higher
Earn a B or higher in Advanced Python for Data Science and a B– or higher in all other courses, but be sure to maintain a minimum cumulative GPA of 3.0 (B) or higher. You are allowed to receive one withdrawal (WD) grade without it affecting your GPA. Any additional WD grades count as zero in your cumulative GPA. See Academic Standing.
Finish Your Coursework in Five Years
You have five years to complete your degree requirements. The five-year timeline begins at the end of the term in which you complete any one degree-applicable course at Harvard, whether or not you have been admitted to the program. Harvard courses over five years old at the point of admission will not count toward the degree.
Potential degree candidates must plan accordingly and submit their applications to comply with the five-year course expiration policy or they risk losing degree credit for completed course work. Additionally, admission eligibility will be jeopardized if, at the point of application to the program, the five-year degree completion policy cannot be satisfied.
Graduate with Your Harvard Degree
When you have fulfilled all degree requirements, you will earn your Harvard University degree: Master of Liberal Arts (ALM) in Extension Studies, Field: Data Science. Degrees are awarded in November, March, and May, with the annual Harvard Commencement ceremony in May.
Degree Guidelines and Policies
For information about special academic opportunities, student privileges, and policies, see Completing Your Degree.