Program Overview

Data Science, MS

The Master of Science in Data Science program is jointly offered by the Mathematics and Computer Science departments. This program benefits from its interdisciplinary nature and provides students with flexibility to balance theory and practice. By combining traditional training in statistics and mathematics with hands-on experience in machine learning and artificial intelligence, students will be well-prepared for careers in data science.

Program Requirements

• Course List:
  • Data Science Foundations:
    • MATH 6070: Intro To Probability (3 credits)
    • MATH 6090: Linear Algebra (3 credits)
    • CMPS 6100: Introduction to Computer Science (3 credits)
  • Data Science Core:
    • MATH 6080: Intro to Statistical Inference (3 credits)
    • MATH 6040: Linear Models (3 credits)
    • or MATH 7260: Linear Models
    • CMPS 6240: Intro to Machine Learning (3 credits)
    • or MATH 6720: Analysis II
    • CMPS 6160: Introduction to Data Science (3 credits)
• Choose Four Electives (12 credits)
• Total Credit Hours: 33

Elective Courses

• Data Science, MS Electives:
  • MATH 7360: Data Analysis (3 credits)
  • MATH 6030: Stochastic Processes (3 credits)
  • or MATH 7030: Stochastic Processes
  • MATH 6370: Time Series Analysis (3 credits)
  • or MATH 7370: Time Series Analysis
  • MATH 6310: Scientific Computing I (3 credits)
  • MATH 7570: Scientific Computatn II (3 credits)
  • MATH 7710: Topics In Algebra (3 credits)
  • COSC 6000: C++ Prog For Sci & Engr (3 credits)
  • COSC 6200: Large Scale Computation (3 credits)
  • CMPS 6360: Data Visualization (3 credits)
  • CMPS 6260: Advanced Algorithms (3 credits)
  • CMPS 6140: Intro Artificial Intelligence (3 credits)
  • or CMPS 6620: Artificial Intelligence
  • CMPS 6610: Algorithms (3 credits)
  • CMPS 6660: Special Topics in Computer Sci (1-3 credits)
  • CMPS 6730: Natural Language Processing (3 credits)
  • CMPS 6740: Reinforcement Learning (3 credits)
  • BIOS 7150: Categorical Data Analysis (3 credits)
  • BIOS 7300: Survival Data Analysis (3 credits)
  • EBIO 6440: Introduction to Data Science for Ecologists (3 credits)
  • BMEN 6800: BME Data Science: Medical Imaging/Machine Learning (3 credits)

Program Details

• Program String and Field of Study: SEMS_GR, DSCN
• The elective requirement consists of four full-semester courses chosen from the list above. Additional courses (e.g., independent study) may substitute for elective courses upon approval from the Graduate Studies Committee of the Math and Computer Science Departments.