Degree Requirements

At least 30 credit hours beyond bachelor’s degree are required. These hours include MSADS master’s degree work taken at the University of Florida or, if approved, up to 9 hours of master’s degree work earned at another approved university outside UF. Course substitutions must be petitioned and are considered on a case-by-case basis.

Requirements include completion of the following:

  • MSADS core courses: 21 credits
  • MSADS specialization courses: 6 credits
  • MSADS Capstone Project: 3 credits

Curriculum

A standard 4-semester curriculum will look like the following:

  • EGN 6445 Mathematical Foundations for Data Science for Engineers (3 credits)
  • EGN 5442 Programming for Applied Data Science (3 credits)
  • EGN 6933 AI Ethics for Tech Leaders (3 credits)
  • CAP 5771 Introduction to Data Science (3 credits)
  • EGN 6556 Mathematical Foundations for Data Science for Engineers II (3 credits)
  • EEE 5776 Applied Machine Learning (3 credits)
  • EEE 6778 Applied Machine Learning II (3 credits)

Choose two (2) courses in one of the following specializations:

Agricultural and Biological Engineering

  • EGN 5XXX AI for Automated Sensor Data Interpretation (3 credits)
  • ABE 5038 Fundamentals and Applications of Biosensors (3 credits)
  • ABE 6840 Data Diagnostics
  • ABE 5643C Biological Systems Modeling (3 credits)
  • ABE 6649C Advanced Biological Systems Modeling (3 credits)


Artificial Intelligence (AI)

  • EVN 6932 Algorithms for Imaging Spectroscopy (3 credits)
  • ESI 6617 High-Dimensional Data Analytics (3 credits)
  • EEE 6512 Image Processing and Computer Vision (3 credits)


Biomedical

  • BME 6522 Biomedical Multivariate Signal Processing (3 credits)
  • BME 6938 Multimodal Data Mining (3 credits)
  • BME 6938 Biomedical Data Science (3 credits)


Chemical Engineering

  • ECH 6845 Chemical Process Data Science (3 credits)
  • ECH 6937 Fundamentals of Artificial Neural Networks (3 credits)


Data Analytics in Industrial Systems Engineering (ISE)

  • EIN 6905 Data Analytics for Systems Monitoring (3 credits)
  • ESI 6617 High-Dimensional Data Analytics (3 credits)


Environmental

  • OCP 6168 Data Analysis Techniques for Coastal Ocean (3 credits)
  • ABE 6035 Advanced Remote Sensing: Science and Sensors (3 credits)
  • EVN 6932 Algorithms for Imaging Spectroscopy (3 credits)
  • EEE 6512 Image Processing and Computer Vision (3 credits)


Transportation

  • EGN 5215 Machine Learning Applications in Civil Engineering (3 credits)
  • TTE 6505 Discrete Choice Analysis (3 credits)
  • EGN 6933 Project in Applied Data Science (Non-Thesis Project) (3 credits)