12 months
Duration
23100 USD/year
11310 USD/year
Unknown
Tuition fee
Unknown
Unknown
Unknown
Unknown
Apply date
Unknown
Start date

About

The MS in Engineering Science (Data Sciences) from University at Buffalo, The State University of New York School of Engineering and Applied Sciences, 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. 

Visit the official programme website for more information

Overview

The MS in Engineering Science (Data Sciences) from University at Buffalo, The State University of New York School of Engineering and Applied Sciences 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.

Students will be 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 below for detail). The program can be completed in one calendar year of study.

Careers

This applied program trains students in the emerging and high demand area of data, and computing sciences. Students will be 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.

Programme Structure

Courses include:

  • Introduction to Probability Theory for Data Science 
  • Introduction to Numerical Mathematics for Computing and Data Scientists
  • Statistical Data Mining
  • Programming and Database Fundamentals for Data Scientists
  • Introduction to Machine Learning
  • Data Models Query Language

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

More details

Applications are due January 15 but applications will continue to be accepted on a rolling basis while space is available. International students who require a visa, submission by March 1 is recommended for Fall admission.

Language

English

Credits

30 alternative credits

hours

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
3
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
Required

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
79
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.
55

Other requirements

General 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)

Tuition Fee

  • International

    23100 USD/year
    Tuition Fee
    Based on the original amount of 23100 USD per year and a duration of 12 months.
  • National

    11310 USD/year
    Tuition Fee
    Based on the original amount of 11310 USD per year and a duration of 12 months.

Funding

  • School of Engineering and Applied Sciences Scholarships
  • University at Buffalo Presidential Fellowships
  • National Science Foundation Graduate Fellowships
  • Arthur A. Schomburg Fellowships
  • Fulbright Programs
  • Western New York Prosperity Fellowship Program

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last year

Check the official programme website for potential updates.

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Engineering Science (Data Sciences)
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University at Buffalo SUNY - School of Engineering and Applied Sciences

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