Data Analytics

More Data, More Depth
Our interdisciplinary programs in Data Analytics provide graduate students with a competitive edge in developing analytical skills to interpret data and translate findings into relevant insights and practical solutions. We offer both a master's degree or a four course certificate. 

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Office of Graduate Admissions
Bendetson Hall
Medford, MA 02155
(617) 627-3395

MS in Data Analytics

Data analytics is a fast-growing field and often the key to business strategy and the solution to complex questions. Data analysts are sought after in nearly every field. In fact, in a recent study IBM predicts that by 2020 demand for data professionals will increase by 364,000 job openings to 2,720,000. 

The interdisciplinary Master of Science in Data Analytics is guided by an advisory board of professionals in the field, who help ensure the program provides rigorous courses in the analytical skills that are sought after across the arts, humanities, and sciences as well as within the business community. 

The program is geared toward professionals who are looking to build expertise in the field of data analytics. Most students complete the program in two years, but it can be completed in one year with accelerated study. 

Upon completion of the program, you will be able to demonstrate the following areas of knowledge: 

  • Define and solve complex data-based problems using appropriate statistical methodologies analyses
  • Select appropriate statistical and predictive methodologies with both sparse and large data sets
  • Provide appropriate theoretical interpretation of these results based on discipline-related concepts
  • Demonstrate written oral communications skills for conclusions drawn from the analyses of data
  • Create visual representations to increase understanding and utilization of complex data
  • Maintain collaborative team relationships to effectively contribute to a shared project
  • Have functional programming skills in data-related language

Certificate in Data Analytics

The Certificate in Data Analytics provides an avenue for individuals who wish to earn a credential in data analytics, but who may not yet be ready to commit to a full master’s program. As a student in the program, you’ll learn the skills needed to gather, interpret, and guide data-driven decisions. 

Four courses are required to complete this certificate. Courses may be offered during the day or in the evening, and depending on the instructor, may be either in person or virtual and synchronous. 

Students who complete this certificate program may decide to continue on and apply to the MS in Data Analytics. If accepted into the master’s program, the credits earned toward the completion of the certificate will be counted toward the master’s program. 

Related Programs:

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MS Application Deadline

Fall: January 15
Fall Round 2 Deadline: March 15
Fall Round 3 Deadline: May 1

MS Application Requirements

>Application fee
>Personal statement
>Official GRE or GMAT scores are optional, but not required.
>Official TOEFL, IELTS, or Duolingo English Test scores, if applicable
>Three letters of recommendation
> Prerequisites 

- Two undergraduate courses in Calculus (Calculus I and II)
- An undergraduate course in Statistics
- An introductory course in programming or basic knowledge of a programming language

View all general application requirements

Certificate Application Deadline

Spring: September 15 (international applicants) and December 15 (domestic applicants)
Fall: June 1 (international applicants) and August 1 (domestic applicants)

Certificate Application Requirements

> Application Fee
Personal Statement
> Official TOEFL, IELTS, or Duolingo English Test, if applicable
One Letter of Recommendation
> Prerequisites 

- One undergraduate courses in Calculus (Calculus I)
- An undergraduate course in Statistics
- An introductory course in programming or basic knowledge of a programming language

For more information, email


Marie-Claire Beaulieu
Associate Professor
Ph.D. , University of Texas at Austin
Greek religion, Greek epigraphy, Medieval Latin, Digital Humanities
Bruce Boghosian
Professor of Mathematics
Ph.D. , University of California, Davis
Theoretical and computational fluid dynamics, quantum computation
Jeffrey Zabel
Ph.D. , University of California at San Diego
Econometrics and Labor economics

For questions about the program, please contact the Graduate School of Arts and Sciences staff at

For questions about your application, contact the Office of Graduate Admissions at 617.627.3395 or