16.4.1 Data Science Required Courses

Data Science

  • DSCI 5001 Statistical Inference for Data Science (propaedeutic)
  • DSCI 5002 Basics of Python and R (propaedeutic)
  • DSCI 5003 Linear Algebra for Regression Analysis (propaedeutic)
  • DSCI 6601 Practical Machine Learning
  • DSCI 6602 Deep Learning and Artificial Intelligence
  • DSCI 6607 Programmatic Data Analysis Using Python and R
  • DSCI 6690 Data Science Case Study Series (2 credit hours)
  • DSCI 695A/B Capstone Project (2 credit hours)

Statistics

  • STAT 6519 Regression Models
  • STAT 6559 Statistical Exploration of Data

16.4.2 Data Science Elective Courses

Business

  • BUSI 8025 Information Systems
  • BUSI 9021 Data Management
  • BUSI 9022 Information Systems Analysis and Design
  • BUSI 9912 Probabilistic Models

Computer Science

  • COMP 6907 Data Mining Techniques and Methodology
  • COMP 6908 Database Technology and Applications
  • COMP 6917 Complex Networks

Mathematics

  • MATH 6100 Dynamical Systems
  • MATH 6201 Numerical Methods for Time-Dependent Differential Equations
  • MATH 6202 Nonlinear and Linear Optimisation
  • MATH 6204 Iterative Methods in Numerical Linear Algebra
  • MATH 6210 Numerical Solutions of Differential Equations
  • MATH 6351 Advanced Linear Algebra

Medicine

  • MED 6260 Applied Data Analysis for Clinical Epidemiology
  • MED 6278 Advanced Biostatistics for Health Research

Statistics

  • STAT 6503 Stochastic Processes
  • STAT 6505 Survival Analysis
  • STAT 6530 Longitudinal Data Analysis
  • STAT 6545 Computational Statistics
  • STAT 6561 Categorical Data Analysis
  • STAT 6563 Sampling Theory
  • STAT 6564 Experimental Designs
  • STAT 6571 Financial and Environmental Time Series
  • STAT 6573 Statistical Genetics