Nov 25, 2020  
Graduate Catalog 2019-20 
    
Graduate Catalog 2019-20 [ARCHIVED CATALOG]

Master of Science in Data Science


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Advisors:
Dr. Joseph McKean, Dr. Kevin Lee and Dr. Hyun Bin Kang (Statistics)
Dr. John Kapenga and Dr. Alvis Fong (Computer Science)

This is an interdisciplinary Master of Science program offered jointly by the Department of Statistics (COAS) and the Department of Computer Science (CEAS), housed in the Department of Statistics. Data Science is today one of the most rapidly developing disciplines and data scientists are in high demand in the job market. Students in this program would develop a skill set that will allow them to take on current and future complex data challenges. Graduates will be able to store and access data from a variety of sources (also heterogeneous), process Big Data architecture, apply analytic techniques and algorithms (including statistical and data mining) to large, complex data sets, apply relevant environments for data processing and visualization, work in collaborative teams and communicate effectively.

A minimum of 35 credit is required and the resulting degree is a Master of Science in Data Science.

For admission to the program, candidates must have completed an undergraduate program including linear algebra, calculus, a course in statistical methods, a course in probability, introduction to R software and a strong background in an object oriented programming language such as Java or C++.

Program Requirements


The program requires at least 35 credit hours of courses:

Semester 3 (Fall)


And MS Project 1


Semester 4 (Spring)


  • STAT elective (see list 1)  Credits: 3 hours
  • CS elective (see list 2)  Credits: 3 hours

And MS Project 2


List 2 - CS Electives


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