Campuses:
Twin Cities campus
This is archival data. This system was retired as of August 21, 2023 and the information on this page has not been updated since then. For current information, visit catalogs.umn.edu.
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Twin Cities Campus
Data Science M.S.Computer Science and Engineering Administration
College of Science and Engineering
Link to a list of faculty for this program.
Contact Information
Data Science Graduate Program, Department of Computer Science and Engineering, University of Minnesota, 4-192 Keller Hall, 200 Union Street S.E., Minneapolis, MN 55455 (612- 625-4002; fax: 612-625-0572).
Email:
TBD
Website: http://TBD
Along with the program-specific requirements listed below, please read the
General Information section of
this
website for requirements that apply to all major fields.
The M.S. in Data Science program provides a strong foundation in the science of Big Data and its analysis by gathering in a single program the knowledge, expertise, and educational assets in data collection and management, data analytics, scalable data-driven pattern discovery, and the fundamental concepts behind these methods.
Students who graduate from this regular 2 year master's program will learn the state-of-the-art methods for treating Big Data, be exposed to the cutting edge methods and theory forming the basis for the next generation of Big Data technology, and will complete a project demonstrating that they can use the fundamental concepts to design innovative methods for new application areas arising from business, government, security, medicine, biology, physical sciences, and the environment.
Program Delivery
Prerequisites for Admission
A bachelor's degree from an accredited college or university in computer science, math, statistics, engineering, natural sciences, or a related field.
Other requirements to be completed before admission:
The undergraduate degree must include multivariable calculus, linear algebra, and mathematical software environments such as Matlab or R or the equivalent. Also required is programming experience including basic algorithms and data structures normally taught in beginning computer science courses either as part of the undergraduate degree or subsequent work experience.
Applicants must submit their test score(s) from the following:
International applicants must submit score(s) from one of the following tests:
Key to test
abbreviations
(GRE, TOEFL, IELTS, MELAB).
For an online application or for more information about graduate education admissions, see the
General Information section of this
website.
Program Requirements
Plan B: Plan B requires
31
major credits and
up to
credits outside the major.
The final exam is oral.
A capstone project is required.
Capstone Project:Students must complete a capstone project supervised by a faculty member.
This program may be completed with a minor.
Use of 4xxx courses towards program requirements is not permitted.
The program requires a total of 31 credits consisting of 6 credits each from the three emphasis areas: statistics, algorithms, and infrastructure and large scale computing; 6 credits in approved electives; 1 credit of research colloquium; and 6 credits for the capstone project.
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