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Data Science and Engineering, Master of Science (M.S.)

Required Courses

Elective Courses

Course NumberTitleCredits
Two to three additional courses from domain knowledge courses listed below or any course approved by the program (3 cr. each).

6-9

Six courses (3 credits each)

Course NumberTitleCredits
DSE I1020Introduction to Data Science

3
DSE I1030Applied Statistics

3
DSE I2100Applied Machine Learning and Data Mining

3
DSE I2400Data Engineering: Infrastructure and Applications

3
DSE I2450Big Data and Scalable Computation

3
DSE I2700Visual Analytics

3
Total Credit Hours:18

Supervised 3-credit Project or 6-credit Thesis Course

Course NumberTitleCredits
DSE I9800Capstone Project

3
DSE I9900Capstone Thesis

6
Total Credit Hours:3-6

Additional Requirements

Course NumberTitleCredits
The students must take a minimum of 30 credits. A minimum GPA of 3.0 is required for graduation.

Currently Approved Electives

Course NumberTitleCredits
BME I5100Biomedical Signal Processing

3
BME I5000Medical Imaging and Image Processing

3
BME I4200Organ Transport and Pharmacokinetics

3
ChE I5500Interfacial Phenomena

3
ChE I5700Advanced Materials Engineering

3
ChE I8900Nanotechnology

3
CE H6600Engineering Hydrology

3
CSc I0600Fundamental Algorithms

3
CSc I0500Computer Graphics

3
CSc I1100Database Systems II

3
CSc I1900Pattern Recognition and Machine Learning

3
CSc I4633Multimedia

3
CSc I6730Data Reduction in the Physical Sciences

3
EE I2200Image Processing

3
EE I6400Computer-Aided Digital VLSI Circuits Design

3

Total Credit Hours: 30