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)