Program Overview

Introduction to the MSSWE Machine Learning and Data Science Plan of Study

The MSSWE Machine Learning and Data Science Plan of Study is a guideline for students pursuing a Master of Science in Software Engineering (MSSWE) degree with a focus on machine learning and data science. This plan of study is designed to meet the specific needs of students, as long as it complies with the MSSWE degree requirements.

Degree Requirements

• Total credits needed: 30
• Core courses:
  • Select one:
    • ECE 60800, Computational Models and Methods (3 credits)
    • CS 58000, Algorithm Design, Analysis, and Implementation (3 credits)
  • ECE 50874, Advanced Software Engineering (3 credits)
• Math course: One math course (3 credits) is required, with options including:
  • MA 51100: Linear Algebra
  • STAT 51600: Basic Probability and Applications
• ECE and CS coursework: A total of 18 credit hours of ECE and CS coursework is required, including core courses.

Recommended Courses

The following courses are recommended for students pursuing the MSSWE Machine Learning and Data Science Plan of Study:

• ECE 50024: Machine Learning (3 credits, on-campus and online, Spring)
• ECE 50863: Introduction to Data Mining (3 credits, on-campus and online, Fall)
• ECE 56200: Introduction to Data Management (3 credits, on-campus only, Fall - odd years)
• ECE 57000: Artificial Intelligence (3 credits, on-campus and online, Fall, Spring)
• ECE 59500: Deep Learning for Computer Vision (3 credits, on-campus only, Fall)
• ECE 59500: Introduction to Deep Learning (3 credits, on-campus and online, Fall)
• ECE 59500: Natural Language Processing (3 credits, on-campus only, Spring)
• ECE 59500: Reinforcement Learning (3 credits, on-campus and online, Fall)
• ECE 60146: Deep Learning (3 credits, on-campus only, Spring)
• ECE 62900: Introduction to Neural Networks (3 credits, on-campus and online, Fall)
• ECE 66100: Computer Vision (3 credits, on-campus only, Fall - even years)
• ECE 60131: Inference and Learning in Generative Models (3 credits, on-campus only, Spring)
• ECE 69500: Machine Learning for Bioinformatics and Healthcare (3 credits, on-campus and online, Spring)
• ECE 69500: Optimization for Deep Learning (3 credits, on-campus and online, Fall)
• ECE 69500: Big Data for Reliability and Security (1 credit, on-campus and online, Fall)
• CS 57300: Data Mining (3 credits, on-campus and online, prerequisite: STAT 51600)

MS Degree Tracks

The MSSWE program offers several degree tracks, including:

• Project Track Master's
• Thesis Track Master's
• Online Master's
• 4+1 BS/MS

PhD Degree Tracks

The PhD program in Electrical and Computer Engineering offers a PhD degree track.