Javascript is currently not supported, or is disabled by this browser. Please enable Javascript for full functionality.
   
    Apr 04, 2025  
2023-2024 Graduate Catalog 
    
Catalog Navigation
Catalog Home

Degrees, Certificates, Teacher Certifications
Course Descriptions

The university
2023-2024 Academic calendar
Accreditation
Admission
Academics
Master’s degree requirements
Doctoral degree requirements
Enrollment
Financial information
Campus resources
Policies
Contacts at UNT

Degree programs listed by academic unit

Toulouse Graduate School
College of Applied and Collaborative Studies
G. Brint Ryan College of Business
College of Education
College of Engineering
College of Health and Public Service
College of Information
College of Liberal Arts and Social Sciences
College of Merchandising, Hospitality and Tourism
College of Music
College of Science
College of Visual Arts and Design
Honors College
Division of International Affairs

UNT at Frisco
Administration, faculty and librarians

Campus maps
Archived Catalogs 1995-96 to 2010-11
Catalog .pdf

Addendum
My Catalog
2023-2024 Graduate Catalog [ARCHIVED CATALOG]

Data Engineering, MS

Return to {$returnto_text} Return to: Degree programs listed by academic unit

The Master of Science program in data engineering allows students with a background in STEM disciplines to focus their analytical, programming and engineering skills to integrate messy data into clean, usable datasets. Students will use programming languages, SQL, and other software to creatively solve data-related problems and optimize data pipelines. It is a 33-hour program.

Academic standards

If a student’s GPA on all graduate and/or deficiency courses falls below 3.0, the student will be placed on probation the following term/semester. Students who cannot raise their GPA above 3.0 during that term/semester will be dropped from the program. To qualify for the master’s degree, the student must earn a grade of B or better in each of the core courses.

Core courses

All students will take 18 hours of core courses to give a firm foundation in data engineering. Of these courses, 15 semester hours are required core courses, and 3 semester hours will be chosen from a list of courses related to predictive analytics.

Predictive analytics course

3 hours selected from:

General data engineering track

Students in the general data engineering track will complete elective courses that they choose in consultation with their advisor. 

Non-thesis students will complete 15 hours of elective coursework, and thesis students will complete 12 hours of elective coursework.

Choose elective courses

Non-thesis students

Non-thesis students will choose three, 3-hour courses from the list of courses below and then consult with an advisor to choose any two 5000-level CSCE courses for a total of 15 semester hours.

​​​​​​​Thesis students

Thesis students pursuing the thesis option will take 6 hours semester hours of elective courses and 6 semester hours of CSCE 5950 - Master’s Thesis for a total of 12 hours.

Option for flexible elective course

All students also have the option to select one unrestricted 3-credit hour CSCE graduate course, or alternately a course outside of CSCE, with prior advisor or program approval.

Biomedical engineering concentration

Non-thesis students

Non-thesis students will choose five, 3-hour courses (15 semester hours) from the list of available courses below or select three courses from the list below and one unrestricted three-credit hour BMEN graduate course.

Thesis students

Thesis students will take 6 semester hours of elective coursework and 6 semester hours of BMEN 5950 - Master’s Thesis. Students can choose four courses from the list below or select three courses from the list below and one unrestricted three-credit hour BMEN graduate course.

Return to {$returnto_text} Return to: Degree programs listed by academic unit