Data Analytics

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. 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 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. 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.

Courses are offered in the evenings and online, making the program accessible to working professionals. Students complete this certificate program may decide to continue on and apply to the M.S. in Data Analytics. If accepted into the master’s program, the credits earned toward the completion of the certificate will automatically be counted toward the master’s program.

Related Programs:

• Spatial Data Analytics Cert.
• Digital Humanities M.A.
• Economics M.S.
• Environmental Policy and Planning M.S.
• Physics M.S., Ph.D.
• Mathematics Post-Bac., M.S., Ph.D.
• Computer Science Cert., Post-Bac., M.S., Ph.D. 

Visit the Data Analytics program website

M.S. Application Deadline

Fall: January 15* 
*Recognizing the serious challenges posed by the COVID-19 pandemic to our applicants and those considering graduate education opportunities, the Graduate School of Arts and Sciences will accept applications to the M.S. in Data Analytics up to August 1, 2020 for fall enrollment for domestic students. Our Admissions team is working closely with our programs to evaluate completed applications in a timely manner.

M.S. Application Requirements

>Application fee
>Resume/CV
>Personal statement
>Official GRE or GMAT required

- GRE are not required for current Tufts undergraduates or alumni who are within two years of graduation from Tufts. 

>Official TOEFL or IELTS, if applicable
>Transcripts
>Three letters of recommendation
> Prerequisites 

- Two undergraduate courses in Calculus
- 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 31 (domestic applicants)
Fall: June 1 (international applicants) and August 1 (domestic applicants)

Certificate Application Requirements

> Application Fee
> Resume/CV
> Personal Statement
> Official TOEFL/IELTS, if applicable
> Transcripts
> One Letter of Recommendation

For more information, email certificates@tufts.edu.

M.S. Curriculum

More information on courses and curriculum

Certificate Curriculum

• DATA200 Foundations of Data Analytics (4 credits)
• DATA220 Communicating with Data (3 credits)
• DATA 201A and DATA201B Python (2 credits each)
• One graduate level Statistics Elective (3 credits)

For questions about the program, please contact Mary Beth Berg, Assistant Director of Interdisciplinary Programs. 

For questions about your application, contact the Office of Graduate Admissions at 617.627.3395 or gradadmissions@tufts.edu.