PROGRAM INFORMATION

The Master of Science with a major in Applied Data Science degree will provide students with a working knowledge of techniques and software commonly used in Data Science. The degree is designed for engineering students and working professional engineers with a B.S. degree in a non-computing engineering field, that is, for engineering students and professional engineers who have engineering degrees other than Computer Science or Computer Engineering and possibly Industrial and Systems Engineering. The degree will prepare engineering students to work as data scientists in industry and can also be used by engineering students working towards a Ph.D. degree in non-computing focused engineering degree programs.  

DEGREES OFFERED WITH A MAJOR IN applied data science

  • Master of Science

applied data SCIENCE PROGRAM COURSES

Core/Required Courses:

CAP 5771Introduction to Data Science3
COT 5615Mathematics for Intelligent Systems3
EEE 5776Applied Machine Learning3
EEE 6778Applied Machine Learning II3
EGN 6446Mathematical Foundations for Applied Data Science3
EGN 5442Programming for Applied Data Science3
EGN 6933Special Topics1-3
LAW 6930Selected Legal Probs1-4

Example Specialization Courses:

ABE 5038Recent Developments and Applications in Biosensors3
ABE 5643CBiological Systems Modeling3
ABE 6035Advanced Remote Sensing: Science and Sensors3
ABE 6649CAdvanced Biological Systems Modeling3
ABE 6840Data Diagnostics3
BME 6522Biomedical Multivariate Signal Processing3
BME 6938Special Topics in Biomedical Engineering1-4
BME 6938Special Topics in Biomedical Engineering1-4
EIN 6905Special Problems1-6
OCP 6168Data Analysis Techniques for Coastal and Ocean Engineers3
TTE 6505Discrete Choice Analysis3

Applied data SCIENCE

SLO 1     Knowledge        
To analyze, design, implement, and evaluate Data Science systems solution to meet a given set of system requirements. 

SLO 2     Skills     
To recognize professional responsibilities and make informed decisions when developing Data Science systems based on legal, ethical, and policy principles.

SLO 3     Professional Behavior   
To function effectively as a member of a team engaged to develop a Data Science systems solution.