Please refer to the Schedule Planning Information page for a general idea when these courses are offered. For exact dates, times, locations, fees, and instructors, please refer to the course finder.
Provisional Courses
Undergraduate-level courses offered to complete provisional requirements.
| Course Number & Name | Course Format |
|---|---|
| Course Number & Name: 625.108 - Calculus I and | Course Format: Asynchronous Online |
| Course Number & Name: 625.109 - Calculus II or | Course Format: Asynchronous Online |
| Course Number & Name: 605.156 - Calculus for Engineers | Course Format: |
| Course Number & Name: 605.206 - Introduction to Programming Using Python or | Course Format: Asynchronous Online |
| Course Number & Name: 605.201 - Introduction to Programming Using Java or | Course Format: Asynchronous Online, Synchronous Online |
| Course Number & Name: 605.207 - Introduction to Programming Using C++ | Course Format: Synchronous Online |
| Course Number & Name: 625.250 - Multivariable Calculus and Complex Analysis | Course Format: Asynchronous Online |
| Course Number & Name: 605.256 - Modern Software Concepts in Python | Course Format: Synchronous Online |
| Course Number & Name: 605.203 - Discrete Mathematics or | Course Format: Asynchronous Online, Hybrid In-person and Synchronous Online, Synchronous Online |
| Course Number & Name: 625.251 - Introduction to Ordinary and Partial Differential Equations or | Course Format: Asynchronous Online |
| Course Number & Name: 625.252 - Linear Algebra and Its Applications | Course Format: Asynchronous Online |
Core Courses
| Course Number & Name | Course Format |
|---|---|
| Course Number & Name: 685.621 - Algorithms for Data Science | Course Format: Asynchronous Online |
| Course Number & Name: 625.603 - Statistical Methods and Data Analysis | Course Format: Asynchronous Online, Hybrid In-person and Synchronous Online |
Required Courses
| Course Number & Name | Course Format |
|---|---|
| Course Number & Name: 685.648 - Data Science | Course Format: Asynchronous Online |
| Course Number & Name: 685.652 - Data Engineering Principles and Practice | Course Format: Asynchronous Online, Synchronous Online |
| Course Number & Name: 685.662 - Data Patterns and Representations | Course Format: Asynchronous Online, Synchronous Online |
| Course Number & Name: 625.661 - Statistical Models and Regression | Course Format: Asynchronous Online |
| Course Number & Name: 625.615 - Introduction to Optimization or | Course Format: Asynchronous Online |
| Course Number & Name: 625.664 - Computational Statistics | Course Format: Asynchronous Online |
Focus Areas
Select one (1) of the following Focus Areas:
- Data Management and Cloud Computing
- Information Technology and Computation
- Machine Learning and Artificial Intelligence
- Operations Research
Courses by Focus Areas
The focus areas offered represent related groups of courses that are relevant for students with interests in the selected areas. Students are required to choose a focus area and complete at least 3 courses from the selected focus area of which at least two must be 700-level. The focus areas are presented as an aid to students in planning their course selections and are only applicable to students seeking a master’s degree. They do not appear as official designations on a student’s transcript or diploma.
Data Management and Cloud Computing
| Course Number & Name | Course Format |
|---|---|
| Course Number & Name: 685.701 - Data Science: Modeling and Analytics | Course Format: Synchronous Online |
| Course Number & Name: 605.632 - Graph Analytics | Course Format: Asynchronous Online |
| Course Number & Name: 605.633 - Social Media Analytics | Course Format: Asynchronous Online |
| Course Number & Name: 605.634 - Crowdsourcing and Human Computation | Course Format: Asynchronous Online |
| Course Number & Name: 605.635 - Cloud Computing | Course Format: Asynchronous Online |
| Course Number & Name: 605.641 - Principles of Database Systems | Course Format: Asynchronous Online |
| Course Number & Name: 605.724 - Applied Game Theory | Course Format: Asynchronous Online |
| Course Number & Name: 605.741 - Large-Scale Database Systems | Course Format: Asynchronous Online |
| Course Number & Name: 605.744 - Information Retrieval | Course Format: Asynchronous Online |
| Course Number & Name: 605.745 - Reasoning Under Uncertainty | Course Format: Asynchronous Online |
| Course Number & Name: 605.788 - Big Data Processing Using Hadoop | Course Format: Asynchronous Online |
| Course Number & Name: 635.632 - Engineering Data Intensive Systems | Course Format: Asynchronous Online |
Information Technology and Computation
| Course Number & Name | Course Format |
|---|---|
| Course Number & Name: 625.620 - Mathematical Methods for Signal Processing | Course Format: Asynchronous Online, Synchronous Online |
| Course Number & Name: 625.636 - Graph Theory | Course Format: Synchronous Online |
| Course Number & Name: 625.638 - Foundations of Neural Networks | Course Format: Asynchronous Online, Synchronous Online |
| Course Number & Name: 625.680 - Cryptography | Course Format: Synchronous Online |
| Course Number & Name: 625.687 - Applied Topology | Course Format: Hybrid In-person and Synchronous Online |
| Course Number & Name: 625.690 - Computational Complexity and Approximation | Course Format: Asynchronous Online |
| Course Number & Name: 625.725 - Theory Of Statistics I | Course Format: Asynchronous Online |
| Course Number & Name: 625.726 - Theory of Statistics II | Course Format: Asynchronous Online |
| Course Number & Name: 625.734 - Queuing Theory | Course Format: Hybrid In-person and Synchronous Online, Synchronous Online |
| Course Number & Name: 625.740 - Data Mining | Course Format: Asynchronous Online |
| Course Number & Name: 625.742 - Theory of Machine Learning | Course Format: Asynchronous Online, Synchronous Online |
| Course Number & Name: 625.744 - Modeling, Simulation, and Monte Carlo | Course Format: Synchronous Online |
Machine Learning and Artificial Intelligence
| Course Number & Name | Course Format |
|---|---|
| Course Number & Name: 685.701 - Data Science: Modeling and Analytics | Course Format: Synchronous Online |
| Course Number & Name: 605.633 - Social Media Analytics | Course Format: Asynchronous Online |
| Course Number & Name: 605.634 - Crowdsourcing and Human Computation | Course Format: Asynchronous Online |
| Course Number & Name: 605.645 - Artificial Intelligence | Course Format: Asynchronous Online |
| Course Number & Name: 605.647 - Neural Networks | Course Format: Asynchronous Online, Synchronous Online |
| Course Number & Name: 605.740 - Machine Learning: Deep Learning | Course Format: Asynchronous Online |
| Course Number & Name: 605.742 - Deep Neural Networks | Course Format: Asynchronous Online |
| Course Number & Name: 605.743 - Advanced Artificial Intelligence | Course Format: Asynchronous Online |
| Course Number & Name: 635.603 - AI/ML Ops | Course Format: Asynchronous Online, Synchronous Online |
| Course Number & Name: 635.661 - Principles of Human Computer Interaction | Course Format: Asynchronous Online |
| Course Number & Name: 705.605 - Introduction to Generative AI | Course Format: Asynchronous Online, Synchronous Online |
| Course Number & Name: 705.608 - Applied Generative AI | Course Format: Asynchronous Online |
| Course Number & Name: 705.742 - Advanced Applied Machine Learning | Course Format: Synchronous Online |
Operations Research
| Course Number & Name | Course Format |
|---|---|
| Course Number & Name: 625.601 - Real Analysis | Course Format: Synchronous Online |
| Course Number & Name: 625.609 - Matrix Theory | Course Format: Asynchronous Online |
| Course Number & Name: 625.611 - Computational Methods | Course Format: Asynchronous Online |
| Course Number & Name: 625.615 - Introduction to Optimization | Course Format: Asynchronous Online |
| Course Number & Name: 625.618 - Discrete Hybrid Optimization | Course Format: Synchronous Online |
| Course Number & Name: 625.623 - Introduction to Operations Research: Probabilistic Models | Course Format: Asynchronous Online |
| Course Number & Name: 625.633 - Monte Carlo Methods | Course Format: Asynchronous Online |
| Course Number & Name: 625.641 - Mathematics of Finance | Course Format: Asynchronous Online |
| Course Number & Name: 625.642 - Mathematics of Risk, Options, and Financial Derivatives | Course Format: Synchronous Online |
| Course Number & Name: 625.663 - Multivariate Statistics and Stochastic Analysis | Course Format: Synchronous Online |
| Course Number & Name: 625.664 - Computational Statistics | Course Format: Asynchronous Online |
| Course Number & Name: 625.665 - Bayesian Statistics | Course Format: Asynchronous Online |
| Course Number & Name: 625.692 - Probabilistic Graphical Models | Course Format: Asynchronous Online |
| Course Number & Name: 625.695 - Time Series Analysis | Course Format: Asynchronous Online |
| Course Number & Name: 625.714 - Introductory Stochastic Differential Equations with Applications | Course Format: Asynchronous Online |
| Course Number & Name: 625.717 - Advanced Differential Equations: Partial Differential Equations | Course Format: Asynchronous Online |
| Course Number & Name: 625.718 - Advanced Differential Equations: Nonlinear Differential Equations and Dynamical Systems | Course Format: Asynchronous Online |
| Course Number & Name: 625.721 - Probability and Stochastic Processes I | Course Format: Asynchronous Online, Synchronous Online |
| Course Number & Name: 625.722 - Probability and Stochastic Processes II | Course Format: Synchronous Online |
| Course Number & Name: 625.728 - Theory of Probability | Course Format: Synchronous Online |
| Course Number & Name: 625.741 - Game Theory | Course Format: Asynchronous Online |
| Course Number & Name: 625.743 - Stochastic Optimization & Control | Course Format: Synchronous Online |
Independent Study
| Course Number & Name | Course Format |
|---|---|
| Course Number & Name: 685.795 - Capstone Project in Data Science | Course Format: |
| Course Number & Name: 685.801 - Independent Study in Data Science I | Course Format: |
| Course Number & Name: 685.802 - Independent Study in Data Science II | Course Format: |
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