Data Analytics

A one year interdisciplinary program that provides students with the skills to interpret data across disciplines and translate the data into relevant insights. 

People examine papers with graphs, charts, and data on a desk
  • Program Description
  • Application Requirements
  • Faculty
  • Curriculum
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Office of Graduate Admissions
Bendetson Hall
Medford, MA 02155
(617) 627-3395

M.S. 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. 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 offered on both a full-time or part-time schedule for working professionals who are looking to build expertise in the field of data analytics.

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

  • Define and solve complex data-based programs 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

Related Programs:

Application Deadline

Fall: January 15

Application Requirements

>Application fee
>Personal statement
>Official GRE required
>Official TOEFL or IELTS, if applicable
>Three letters of recommendation

View all general application requirements



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

This interdisciplinary master’s program is designed to serve students in a broad range of fields. As a student in the program, you’ll be able to tailor your course selection for exploration based on your individual interests.

The structure of the curriculum includes five components:

Conceptual Foundations of Information and Data: A required introductory and integrate course on the general topic of data analytics.
1 course

Analytic and Statistical Foundations: A foundational set of techniques in analytics methods.
Statistical Analysis – 2 courses
Modeling Techniques – 2 courses

Disciplinary Competencies: A series of discipline-related electives designed to provide the “Big Theory to the Big Data”
2 courses

Professional Competencies: A set of key professional competencies demanded by employers.
2 courses

Capstone: An experimental and integrative capstone project.
1 course

For questions about the program,

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