MS in Engineering Sciences (Data Science)

University at Buffalo SUNY (United States) · 12 Capen Hall, Buffalo, New York 14260-1660

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The State University of New York at Buffalo commonly referred to as the University at Buffalo (UB) or SUNY Buffalo, is a public research university with campuses in Buffalo and Amherst, New York, United States. The university was founded in 1846 as a private medical college and merged with the State University of New York system in 1962. It is one of four university centers in the system, in addition to Albany, Binghamton, and Stony Brook. As of fall 2020, the university enrolls 32,347 students in 13 colleges, making it the largest public university in the state of New York.

Since its founding by a group that included future United States President Millard Fillmore, the university has evolved from a small medical school to a large research university. Today, in addition to the College of Arts and Sciences, the university houses the largest state-operated medical school, dental school, education school, business school, engineering school, and pharmacy school, and is also home to SUNY's only law school.UB has the largest enrollment, largest endowment, and most research funding among the universities in the SUNY system. The university offers bachelor's degrees in over 100 areas of study, as well as 205 master's degrees, 84 doctoral degrees, and 10 professional degrees.

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Program Details:

Program Website

Basic Info

Institute

School of Engineering and Applied Sciences

Degree

MS

Duration

1 year

STEM Designated

Yes

Program

Engineering Sciences (Data Science)

Expense

Living Expenses

USD 22900

Tuition Fee (Domestic)

USD 14600

Tuition Fee (International)

USD 29100

Eligibility

Minimum/ Avg Score

Undergrad GPA

3

IELTS

6.5

TOEFL

79

PTE

55

Duolingo

120

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Deadlines:

Deadline Website

Intake Deadline 1

01 Oct, 2025

(January-2026)

Intake Deadline 2

15 Feb, 2026

(August-2026)

Document Required:

  • Degree Certificate

    Common Document

    A bachelor's degree, or the equivalent

  • Degree Transcript

    Common Document

    Copies of transcript(s) for all post-secondary schoolwork must be uploaded with your application for initial review. `

  • Letter of Recommendation (LOR)

    University Specific

    Two letters of recommendation are required to apply to this program. Letters are automatically requested when you enter recommenders' names and email addresses in your application. While we will accept letters from professional sources, we strongly prefer letters from professors acquainted with your academic interests, achievements, and abilities.

  • Resume

    Common Document

    Academics Graduate Education Computational and Data-Enabled Sciences PhD Data Sciences and Applications MPS Engineering Science (Artificial Intelligence) MS Engineering Science (Data Science) MS Accepted Student Information Advising and Program Overview FAQs Summer Courses Undergraduate Courses Micro-credentials Internships Related Links Info for Prospective Students Info for Current Students Meet our Alumni Engineering Science (Data Science) MS Students analyzing data on various devices. The Engineering Science MS with a focus in Data Science provides students with a core foundation in big data and analysis by obtaining knowledge, expertise, and training in data collection and management, data analytics, scalable data-driven discovery, and fundamental concepts. The program is designed for students with engineering, natural science, or mathematical science backgrounds. About the Program Admissions Requirements Degree Program Specifics Course Requirements What Students Are Saying About the Program This applied program trains students in the emerging and high demand area of data and computing sciences. Many surveys of employment have highlighted the great need for trained professionals in these areas, estimating deficits of personnel availability in the US at as high as 150,000 a year. Students are trained in sound basic theory with an emphasis on practical aspects of data, computing and analysis. Graduates will be able to serve the analytics needs of employers and will be exposed to several areas of application. The degree can be specialized using electives and a project. Classes will be modestly sized and emphasize best classroom practices while employing online resources to reinforce the classroom experience. Students in this program will need some prior knowledge of mathematics, statistics and computing (commensurate with that from an engineering/natural science/math undergraduate program, see the entrance requirements below for details). The program can be completed in one calendar year of study. Program Director Johannes Hachmann 612 Furnas Hall engsci@buffalo.edu This program is STEM approved, allowing international students the opportunity to apply for the 24-month STEM OPT extension. Admissions Requirements Some prior knowledge of mathematics, statistics and computing (commensurate with that from an engineering/natural science/math undergraduate program) is required. Undergraduate Grade Point Average: Equivalent of a B average or better in a recognized undergraduate program; GRE: 300+ (waived for recent UB undergraduate students) Math: Calculus, Multivariate Calculus, Linear Algebra (e.g., UB course MTH 309) Statistics: Basic Statistics and Probability Computer Science: Programming (at least one language - C/C++/Python/Java), Data Structures (e.g., UB course CSE 113) Application Materials: Online Application Form Application Fee ($100) College Transcripts Letters of Recommendation (2) Two letters of recommendation are required to apply to this program. Letters are automatically requested when you enter recommenders' names and email addresses in your application. While we will accept letters from professional sources, we strongly prefer letters from professors acquainted with your academic interests, achievements, and abilities. GRE Scores (optional but recommended) Resume/CV Upload a resume or curriculum vitae (CV) to your application. Your resume or CV should include details about your education, employment, and internship history. Pertinent research experience should be included as well.

  • Test Score Report

    Common Document

    TOEFL/IELTS/PTE/Duolingo

  • Test Score Report

    Common Document

    GRE

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