南卫理公会大学莱尔工程学院

Data engineering is the discipline concerned with the design of systems and use of analysis methods for the acquisition, storage, management, security, and processing of data. Data engineering incorporates a number of different fields including acquisition and storage system design, analytics, machine learning, statistics, security, and database management. Centering on the problems of both working professionals as well as researchers in the critical field of data engineering, the SMU program in data engineering serves the needs of both full-time and part-time students.

Degree Requirements

The minimum credit hour requirement for the master’s degree in the Lyle School of Engineering is 30 credit hours beyond the baccalaureate, of which six credit hours may be in a thesis. Additional hours may be required depending on the student’s background, objectives of the degree program and the demands of the discipline.

In addition to meeting the Lyle School of Engineering degree requirements for an M.S. degree, candidates are required to satisfy the following:

1. Satisfactory completion of the core curriculum encompassing the four courses:

EMIS 7353 Information System Design Strategies
CS 7331/EMIS 7331 - Data Mining, or CS 7324 Machine Learning in Python
CS 7370/EMIS 7370 Probability and Statistics for Scientists and Engineers
ECE 7385/CS 7385 Microcontroller Architecture and Interfacing

2. For the coursework-only option, satisfactory completion of six elective courses from the following list with at least three of the six courses at the advanced elective or 8000 level. For the coursework-only option with a specialty track, satisfactory completion of four courses from a technical specialty track, two additional courses from the following list, and at least three of these six courses must be at the advanced elective or 8000 level. For the thesis option, satisfactory completion of four courses from the following list with at least one of the four courses at the advanced elective or 8000 level, six credit hours of ENGR M.S. thesis credit, and the successful defense of the M.S. thesis. For convenience, the elective courses are organized under broad topic areas in data engineering.