MS Data Science at University of Minnesota Twin Cities

Programme overview

The data science MS 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.

Faculty: College of Science and Engineering | Duration: 2 years / Plan B 31 credits; Plan C 31 credits | Study mode: full-time | Location: Minneapolis, MN, United States

What you will study

Required components: Core Courses, Colloquium, Electives, Plan B. Courses offered on both the A-F and S/N grading basis must be taken A-F. At least 3 8xxx-level credits, either from an emphasis or an elective, are required.

Official programme page

Application information

Entry requirements

The undergraduate degree must include statistics, calculus, multivariable calculus, linear algebra, and mathematical software environments such as Matlab or R or the equivalent, programming languages such as C+, C++, Java, programming experience including algorithms and data structures normally taught in beginning computer science courses either as part of the undergraduate degree or subsequent work experience. A bachelor's degree from an accredited college or university in computer science, math, statistics, engineering, natural sciences, or a related field. Minimum undergraduate GPA 3.5. The application deadline is March 1. Applicants are only considered for fall admission and decisions are made after all applications are received following the close of the application cycle. The GRE test is not required and will not be accepted as part of the application. Minimum English proficiency for international applicants: TOEFL iBT 79, IELTS 6.5.

Duration: 2 years / Plan B 31 credits; Plan C 31 credits

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