MS Data Science for Chemical Engineering and Materials Science at University of Minnesota Twin Cities

Programme overview

The M.S. in Data Science for Chemical Engineering and Materials Science degree bridges disciplinary expertise in chemical engineering and materials science with data and computational science. It aims to educate the next generation of chemical engineers and materials scientists that will be able to work seamlessly with digital technologies.

Faculty: College of Science and Engineering | Duration: 3 years / Plan B 30 credits; Plan C 30 credits | Study mode: full-time | Location: Minneapolis, MN, United States

What you will study

Required components: Core Courses, Electives, Plan B. Courses must be taken on the A-F grade basis, unless only offered S/N, with a minimum grade of B- earned for each course. Approval of advisor and the director of graduate studies is required to apply 4xxx courses to degree requirements.

Official programme page

Application information

Entry requirements

The undergraduate degree must include two semesters of calculus and one semester of the following: multivariable calculus; linear algebra/differential equations; statistics; programming in languages such as C++ or Python; and algorithms and data structures. Exceptions or substitutions will be considered on an individual basis. Baccalaureate degree in Chemical Engineering, Materials Science or related field. Minimum undergraduate GPA 3.5. Applications are accepted for fall semester only. The application deadline is January 15. Applications received after that date will be considered on an individual basis only under exceptional circumstances. Minimum English proficiency for international applicants: TOEFL iBT 79, IELTS 6.5.

Duration: 3 years / Plan B 30 credits; Plan C 30 credits

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