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The Master of Science in Engineering Science with a Data Science concentration provides an in-depth study of large-scale data processing and interpretation. Learners develop skills, proficiency, and applied experience across multiple domains such as information gathering and organization, analytical techniques, large-scale data exploration, and core principles. The program blends rigorous academic theory with practical instruction, equipping graduates to meet industry demands for data analysis. Students also have opportunities to investigate various implementation fields, broadening their grasp of practical data problems.
Some prior knowledge of mathematics, statistics and computing (commensurate with that from an engineering/natural science/math undergraduate program) is required.
Equivalent of a B average or better in a recognized undergraduate program; GRE: 300+ (waived for recent UB undergraduate students)
Calculus, Multivariate Calculus, Linear Algebra (e.g., UB course MTH 309)
Basic Statistics and Probability
Programming (at least one language - C/C++/Python/Java), Data Structures (e.g., UB course CSE 113)
 
Copies of transcript(s) for all post-secondary schoolwork must be uploaded with your application for initial review. Upon an offer of admission, accepted applicants will be required to submit official transcripts and proof of degree(s).
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 are optional but recommended for this program. If you would like to take the GRE, you can arrange to take it through the Educational Testing Service (ETS). Official scores should come directly from ETS.
Note: the University at Buffalo Institutional Code is 2925.
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.