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. Our interdisciplinary MS in Data Analytics will provide you with a competitive edge in developing analytical skills to interpret data and translate findings into relevant insights and practical solutions. Most students complete the program in two years, but it can be completed in one year with accelerated study.

Program Outcomes

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
Master functional programming skills in data-related languages like Python and R
Leverage LLM /AI to analyze data and create predictive data models
Demonstrate written and oral communications skills for conclusions drawn from the analyses of data
Create interactive visual representations to facilitate the understanding and communication of complex data
Maintain collaborative team relationships to effectively contribute to a shared project
Understand the principles and methods of NLP and multimodal AI for applied data modeling across domains

Application Requirements

Application fee
Resume/CV
Personal statement
Official GRE or GMAT scores (if applicable)
- GRE General Test scores not required for applicants who will have received a degree from a U.S. or Canadian institution by time of enrollment. GRE or GMAT scores required for all other applicants.
Official TOEFL, IELTS, or Duolingo English Test scores, if applicable
- A minimum score of 95 on the Internet-based TOEFL is generally considered evidence of sufficient English language ability for graduate study. Minimum equivalent scores of 7 on the IELTS and 115 on the Duolingo exam are also considered indication of sufficient ability.
Transcripts
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

Tuition & Fees

GSAS bills tuition using a per-credit billing model, meaning you are billed for the number of credits you take each semester. This billing model is used to provide students better flexibility so they may "pay-as-they-go".

Tuition*	$1,849 per credit
Total Credits Required	34
Enrollment Status	Part-Time: 3-6 credits (typically 1-2 courses) Full-Time: 9+ credits (typically 3 or more courses) or qualifying enrollment criteria (assistantships, internships, or continuation courses, etc.)

Estimating Tuition Costs for this Program

This example pathway outlines estimated tuition costs per semester using a typical full-time course load. This is one possible pathway to completion; actual credits, costs, enrollment status, and degree completion time may vary based on a student’s course load.

Full-Time Pathway	Fall	Spring	Total
Year 1	11 credits	11 credits	22 credits
Year 1	$20,339	$20,339	$40,678
Year 2	9 credits	3 credits	12 credits
Year 2	$16,641	$5,547	$22,188
Estimated Total Tuition Before Aid*			$62,866*

Note: this example does not account for any scholarships that may be awarded at the time of admission. GSAS offers generous merit- and need-based tuition scholarships for qualified applicants. A list of funding opportunities is provided below.

*Estimated based on 2026-2027 tuition rates. Rates are subject to change each academic year. For further information about the full cost of attendance, including health insurance, fees, and estimated indirect costs (housing, transportation, etc.), visit Student Financial Services.

Financial Aid & Funding Opportunities

At Tufts University, we believe that every qualified applicant should have the opportunity to pursue graduate study, regardless of financial circumstances. We are committed to helping you navigate the financial aspects of your education and strive to make graduate school accessible through a variety of support options.

Scholarships and Awards Available for this Program

Merit- and need-based tuition scholarships for master’s programs: To be considered, be sure to indicate your interest within the Financial Aid section of your application.
The Future Leaders Fellowship is a full-tuition scholarship for outstanding full-time master’s students and entry-level OTD students. Future Leaders Fellows are selected by the GSAS Dean following their admittance to Tufts.
Fifth Year Master's Degree Program — current Tufts Undergraduates can enroll in this program which has reduced tuition costs and provides a Financial Aid Match with a graduate tuition scholarship proportional to the undergraduate tuition award at the time of application.
City Year Corps members, alumni, and staff are eligible to receive a minimum scholarship award of 25% off tuition.

Work Opportunities and Awards

There are various graduate assistantships and work opportunities available for master’s students across Tufts.
The Graduate Student Open Access Publishing Fund provides financial support to students who want to publish their work open access.
The Graduate Student Research Competition provides funding for expenses including equipment, materials, and supplies; research participant compensation; and expenses of travel to conduct research.
The Graduate Student Conference Reimbursement Fund is available for students to travel to present or attend at a conference or professional meeting.

Visit our Graduate Financial Aid page for information on loans and financing options.

Data analytics is an exciting, fast moving field. If you want to work in this industry, you have to keep learning. You have to read papers and refine your skills because it's always changing. In the Tufts graduate program, and in the field generally, there is so much overlap between academia and industry, between research and practice.

Professor of the Practice of Data Analytics Shuo Zhang

Advisory Board

The interdisciplinary Data Analytics Program 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.

Meet the Advisory Board