Curriculum

The on-campus data science master's degree seeks to shape tomorrow’s leaders by providing learners with the skills, competencies, and knowledge necessary to fuel creative problem-solving, adaptability, and the capability to communicate effectively across diverse organizations.

Courses

The MS-DSÌýis a non-thesis degree that requires 30 credit hours of coursework. YouÌýmust complete 21 credits of core coursework in statistics, computer science, and general core concepts as well as 9 credits of elective coursework.

Âé¶¹ÒùÔº in theÌýBridge to Data Science PathwayÌýmay be required to complete one or more of the following courses (up to 7 credits).ÌýCourses should be taken in the first year and are subject to Graduate School grade and cumulative GPA standards. Up to 3 credit hours of bridge courses which meet applicable standards can count toward the degree in the electives category.

  • DTSC 5003ÌýProgramming for Data Science Ìý- Python for Data Science
  • INFO 5651 Fundamental Concepts in Data Science
  • INFO 5652 Statistical Programming in R
  • DTSC 5301 Data Science as a Field (1 credit)
  • DTSC 5302 Ethical Issues in Data ScienceÌý(1 credit)
  • DTSC 5303 Cybersecurity for Data ScienceÌý(1 credit)
  • STAT 5000 Statistical Methods and Applications 1Ìý(3Ìý³¦°ù±ð»å¾±³Ù)
  • STAT 5010 Statistical Methods and Applications 2Ìý(3Ìý³¦°ù±ð»å¾±³Ù)
  • CSCI 5502 Data MiningÌý(3Ìý³¦°ù±ð»å¾±³Ù)
  • CSCI 5612 Machine Learning for Data ScienceÌý(3Ìý³¦°ù±ð»å¾±³Ù)
  • Two of the following additional core courses:
    • STAT 5600 Methods in Statistical LearningÌý(3Ìý³¦°ù±ð»å¾±³Ù)
    • DTSC 5501 Data Structures and AlgorithmsÌý(3Ìý³¦°ù±ð»å¾±³Ù)
    • *CSCI 5253 Datacenter Scale ComputingÌý(3Ìý³¦°ù±ð»å¾±³Ù)
    • *ATLS 5214 Big Data ArchitectureÌý(3Ìý³¦°ù±ð»å¾±³Ù)
    • INFO 5602 Information VisualizationÌý(3Ìý³¦°ù±ð»å¾±³Ù)
    • CSCI 5454ÌýDesign and Analysis of AlgorithmsÌý(3Ìý³¦°ù±ð»å¾±³Ù)

Note: Only one course betweenÌýATLS 5214 and CSCI 5253 will count towardsÌýcore requirements.

Choose from 40+ available courses in computer science, information science, geography, business, and more.Ìý

Click the Topic AreaÌýcards below to learn more about individual courses.