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.

Students who complete this four-course 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.

Program Outcomes

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.

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

Application Requirements

Application Fee
Resume/CV
Personal Statement
Official GRE or GMAT scores are optional, but not required
Official TOEFL, IELTS, or Duolingo English Test, 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
One Letter of Recommendation

Prerequisites

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

Please include courses and grades for the prerequisites of Calculus II, Statistics, and Computer Programming on the provided space in the application.

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*	$1,049 per credit
Total Credits Required	15
Enrollment Status	Part-Time: 3-6 credits per semester (typically 1-2 courses)

Estimating Tuition Costs for this Program

The example pathway below outlines estimated tuition costs per semester using a typical 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:

Part-Time Pathway	Fall	Spring	Summer	Total
Year 1	6 credits	6 credits	3 credits	15 credits
Year 1	$6,294	$6,294	$3,147	$15,735
Estimated Total Tuition*				$15,735*

*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.

Funding Opportunities

While Tufts University does not offer institutional scholarships for certificate programs, we are committed to supporting students as they explore financing options. This program is eligible for federal loans. Additionally, the following opportunities are available:

City Year Corps members, alumni, and staff are eligible to receive a minimum scholarship award of 25% off tuition.
There are various work opportunities available for students across Tufts.
Students interested in exploring possible research pathways or other opportunities may discuss options directly with the Program Director.

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

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