Mathematics of Data Science Sub-plan

Students pursuing the Mathematics of Data Science sub-plan explore one of the fastest-growing fields through courses in machine learning, data analysis, and statistical computing. At this time, the Mathematics of Data Science sub-plan is available for Bachelor of Science students only.

This sub-plan has the same lower-division requirements as the standard BS in Mathematics, with one exception: instead of MATH 2243, students are encouraged to take MATH 2142.

Sub-plan course requirements: BS Mathematics of Data Science Sub-plan (College of Science & Engineering)

  • One Theoretical Algebra course
  • MATH 5485: Numerical Methods I (discrete algebra course)
  • MATH 5486: Numerical Methods II (math elective course)
  • MATH 4242: Applied Linear Algebra (math elective course)
  • MATH 5651: Theory of Probability and Statistics (analysis course)
  • MATH 5465:  Mathematics of Machine Learning & Data Analysis I (analysis course)
  • MATH 5466: Mathematics of Machine Learning & Data Analysis II (math elective course)
  • One additional upper-division MATH course
  • STAT 3021: Introduction to Probability and Statistics
  • STAT 3301: Regression and Statistical Computing
  • STAT 4051: Statistical Machine Learning I
  • CSCI 5521: Machine Learning Fundamentals
  • CSCI 5527: Deep Learning

 

More about the BS in Mathematics

Related minors

  • Computer Science Minor: Gain additional computer science skills and practical techniques.
  • Statistics Minor: Dive deeper into the area of statistics with this minor that provides foundational knowledge about statistics and analysis.
  • Information Technology Minor: This interdisciplinary minor provides students with basic knowledge and skills in Internet and web technology, and it explores the application of these skills in courses selected from a wide variety of disciplines. 

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Departmental advisor

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Kate Lewis
lewisk@umn.edu

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