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.

Required Courses

Course Number & Name Course Format
Course Number & Name: 635.631 - Foundations of Data Analytics Course Format: Online - Asynchronous
Course Number & Name: 685.652 - Data Engineering Principles and Practice Course Format: Online - Asynchronous
Course Number & Name: 685.662 - Data Patterns and Representations Course Format: Online - Asynchronous, Online - Synchronous
Course Number & Name: 605.641 - Principles of Database Systems Course Format: Online - Asynchronous
Course Number & Name: 635.782 - Ethics in Intelligent Systems or Course Format: Online - Synchronous

Core Courses

Course Number & Name Course Format
Course Number & Name: 635.631 - Foundations of Data Analytics Course Format: Online - Asynchronous
Course Number & Name: 605.641 - Principles of Database Systems Course Format: Online - Asynchronous
Course Number & Name: 685.662 - Data Patterns and Representations Course Format: Online - Asynchronous, Online - Synchronous
Course Number & Name: 635.782 - Ethics in Intelligent Systems Course Format: Online - Synchronous

Focus Areas

A focus area will not appear on your diploma; however, you can tailor the master’s in data analytics engineering degree by selecting advanced graduate courses in one of five focus areas: 

  • Cybersecurity
  • Machine Learning and Cloud Computing
  • Data Engineering
  • Simulation and Modeling
  • Artificial Intelligence

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 4 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.

Cybersecurity

Course Number & Name Course Format
Course Number & Name: 695.601 - Foundations of Information Assurance Course Format: In-person, Online - Asynchronous, Online - Synchronous
Course Number & Name: 695.622 - Web Security Course Format: Online - Asynchronous
Course Number & Name: 635.676 - Cybersecurity in Information Systems Course Format: Online - Asynchronous
Course Number & Name: 625.680 - Cryptography Course Format: Online - Synchronous
Course Number & Name: 695.721 - Network Security Course Format: Online - Asynchronous, Online - Synchronous
Course Number & Name: 635.775 - Cyber Operations, Risk, and Compliance Course Format: Online - Asynchronous

Machine Learning and Cloud Computing

Course Number & Name Course Format
Course Number & Name: 685.621 - Algorithms for Data Science Course Format: Online - Asynchronous
Course Number & Name: 705.601 - Applied Machine Learning Course Format: Online - Asynchronous
Course Number & Name: 605.633 - Social Media Analytics Course Format: Online - Asynchronous
Course Number & Name: 605.634 - Crowdsourcing and Human Computation Course Format: Online - Asynchronous
Course Number & Name: 605.635 - Cloud Computing Course Format: Online - Asynchronous
Course Number & Name: 605.646 - Natural Language Processing Course Format: Online - Asynchronous
Course Number & Name: 625.742 - Theory of Machine Learning Course Format: Online - Asynchronous
Course Number & Name: 605.744 - Information Retrieval Course Format: Online - Asynchronous
Course Number & Name: 705.742 - Advanced Applied Machine Learning Course Format: Online - Asynchronous, Online - Synchronous

Data Engineering

Course Number & Name Course Format
Course Number & Name: 685.652 - Data Engineering Principles and Practice Course Format: Online - Asynchronous
Course Number & Name: 635.601 - Foundations of Information Systems Engineering Course Format: Online - Asynchronous
Course Number & Name: 685.701 - Data Science: Modeling and Analytics Course Format: Online - Asynchronous, Online - Synchronous
Course Number & Name: 605.741 - Large-Scale Database Systems Course Format: Online - Asynchronous
Course Number & Name: 605.788 - Big Data Processing Using Hadoop Course Format: Online - Asynchronous

Simulation and Modeling

Course Number & Name Course Format
Course Number & Name: 625.603 - Statistical Methods and Data Analysis Course Format: In-person, Online - Asynchronous
Course Number & Name: 605.631 - Statistical Methods for Computer Science Course Format: Online - Asynchronous
Course Number & Name: 625.661 - Statistical Models and Regression Course Format: Online - Asynchronous
Course Number & Name: 625.664 - Computational Statistics Course Format: Online - Asynchronous
Course Number & Name: 625.695 - Time Series Analysis Course Format: Online - Asynchronous
Course Number & Name: 625.740 - Data Mining Course Format: Online - Asynchronous
Course Number & Name: 605.716 - Modeling and Simulation of Complex Systems Course Format: Online - Asynchronous, Online - Synchronous
Course Number & Name: 625.734 - Queuing Theory Course Format: In-person, Online - Synchronous
Course Number & Name: 625.741 - Game Theory Course Format: Online - Asynchronous

Artificial Intelligence

Course Number & Name Course Format
Course Number & Name: 685.621 - Algorithms for Data Science Course Format: Online - Asynchronous
Course Number & Name: 635.627 - Intelligent Decision Support Systems Course Format: Online - Asynchronous
Course Number & Name: 605.645 - Artificial Intelligence Course Format: Online - Asynchronous
Course Number & Name: 635.603 - AI/ML Ops Course Format: Online - Asynchronous, Online - Synchronous
Course Number & Name: 605.745 - Reasoning Under Uncertainty Course Format: Online - Asynchronous
Course Number & Name: 695.715 - Assured Autonomy Course Format: Online - Asynchronous
Course Number & Name: 605.724 - Applied Game Theory Course Format: Online - Asynchronous

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