Courses

Required Courses (30 Credit Hours)

Statistics and Data Science (18 credit hours)

  • STAT 6327 - Mathematical Statistics I
  • STAT 6328 - Mathematical Statistics II
  • STAT 6336 - Statistical Analysis I
  • STAT 6337 - Statistical Analysis II
  • STAT 6345 – Linear Regression
  • STAT 7329 – Data Security and Ethics

Computer Science (12 credit hours)

  • CS 7330 - File Organization and Database Management
  • CS 7324 - Machine Learning in Python
  • CS 7331/OREM 7331 - Data Mining
  • CS 7350 - Algorithm Engineering
  • CS 8321 - Machine Learning and Neural Networks or
  • CS 8331/OREM 8331 - Advanced Data Mining

Elective Courses (12 Credit Hours)

The participating departments offer advanced elective courses each semester. Students complete the remaining required credit hours, i.e., at least 12 credit hours, from among those courses, or from approved courses offered in other departments at the University.

Data Science Electives

Statistics and Data Science

  • STAT 6355 - Applied Multivariate Analysis
  • STAT 6357 - Categorical Data Analysis
  • STAT 6358 - Statistical Analysis of High Throughput Biological Data
  • STAT 6360 - Statistical Methods in Epidemiology
  • STAT 6363 - Time Series Analysis
  • STAT 6380 - Mathematical Theory of Sampling
  • STAT 6385 - Survey of Nonparametric Statistics
  • STAT 6390 - Bayesian Statistics
  • STAT 6391 - Bayesian Hierarchical Modeling
  • STAT 6397 - Statistical Methods in Clinical Trials
  • STAT 7331 - Modeling Longitudinal and Incomplete Data

Computer Science

  • CS 7320 - Artificial Intelligence
  • CS 7322 - Introduction to Natural Language Processing
  • CS 7323 - Mobile Applications for Sensing and Learning
  • CS 7337 - Information Retrieval and Web Search
  • CS 7339 - Computer System Security
  • CS 7346/ECE 7346 - Cloud Computing
  • CS 7349 - Data and Network Security
  • CS 7359 - Software Security
  • CS 8330 - Database Management Systems
  • CS 8337 - Information Storage and Retrieval
  • CS 8350 - Algorithms II
  • CS 8359 - Advanced Software Security
Electrical and Computer Engineering<
  • ECE 7365 - Adaptive Algorithms for Machine Learning
  • ECE 7374 - Digital Image Processing
  • ECE 7375 - Random Processes in Engineering
  • ECE 8364 - Statistical Pattern Recognition
  • ECE 8371 - Information Theory
  • ECE 8372/CS 8352 - Cryptography and Data Security
  • ECE 8381 - Quantum Logic and Computing

Mathematics

  • MATH 6370 - Parallel Scientific Computing
Operations Research and Engineering Management
  • OREM 7357 - Analytics for Decision Support
  • OREM 8360 - Operations Research Models

Application Electives

Business

  • FINA 6216 - Portfolio Theory and Asset Pricing
  • FINA 6226 - Quantitative Trading Strategies
  • ITOM 6220 - Revenue Management
  • ITOM 6226 - Operations Analytics
  • MKTG 6224 - Research for Marketing Decisions

  • MNO 6219 - People and Organizational Analytics

Computational Chemistry

  • CHEM 6343 - Advanced Computational Chemistry
  • CHEM 6344 - Computer-Assisted Drug Design: Fundamentals and Applications
  • CHEM 6348 - Statistical Molecular Thermodynamics/

Economics

  • ECO 6372 - Econometrics I
  • ECO 6374 - Econometrics II
  • ECO 6375 - Econometrics III
  • ECO 7321 - Labor Economics
  • ECO 7322 - Development of Human Capital
  • ECO 7377 - Microeconometrics
  • ECO 7378 - Topics in Econometrics

Learning Science

  • EDU 7309 - Special Topics
  • PSYC 6353 - Psychometrics, Test Construction, and Assessment
  • HGME 6381 - Production Management I
  • HGME 6592 - Team Game Production I

Psychology

  • PSYC 6314 - Seminar in Adult Psychopathology
  • PSYC 6317 - Biological and Neuroscientific Bases of Behavior
  • PSYC 6334 - Seminar in Developmental Psychopathology
  • PSYC 6359 - Affective and Social Neuroscience

Research Rotations (6 Credit Hours)

Students must take two 3-credit hour research rotations, to be completed during the summer semesters after years one and two.

  • STAT 8305 - Research (repeated twice for credit)