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Why Pursue a Graduate Certificate in Data Engineering

UTSA’s Data Engineering Certificate Program provides the essential knowledge and technical skills needed to excel in the field, with a focus on data ingestion, storage, transformation, and pipeline architecture. By combining theoretical insights with hands-on experience, this program helps you develop practical, job-ready skills that many companies seek, such as database management, cloud system operations, and data pipeline construction.

As one of the fastest-growing tech fields, data engineering job postings are increasing across industries like technology, finance, and healthcare. In Texas alone, demand for data engineers is projected to grow by over 16% between 2022 and 2027, making now the perfect time to enter the field.

Data Engineering + and Other Disciplines = Master's Degree in Multidisciplinary Studies 

Earn a Master’s Degree

Are you ready to take your career and academic journey to the next level? Combine this program with another eligible certificate to earn a master’s degree in Multidisciplinary Studies! Take advantage of the opportunity to customize your degree to align with your professional and educational goals.

Admission & Application Requirements

Applications are submitted through the UTSA Graduate Application. Please upload all required documents (listed below) on your UTSA Graduate Application. It is the applicant’s responsibility to ensure completion and submission of the application, a nonrefundable application fee, and all required supporting documents are on file with UTSA by the appropriate application deadline.

For international students, please note that student visas are not issued at UTSA for non-degree-seeking students, including certificate programs. For more information, visit our international students admission page.

Data Engineering (CERT)
Required Degree Bachelor's Degree from an accredited college or university in the United States or have proof of equivalent training at a foreign institution. Applicants can also be in their junior year of a B.S. degree in closely related fields in Engineering, Computer Science, Statistics, Cyber Security, Math, Information Systems, and Physics.
Minimum GPA 3.0 (on a 4.0 scale) Departments may consider GPA of last 60 semester credit hours
Transcripts* Required from all institutions attended; international transcripts must be recorded/translated to English
Credential Evaluation Required if you have earned university-level credit from foreign institutions. Submit an evaluation of your transcripts from Educational Credential Evaluators (ECE) directly from the graduate admission application platform
English Language Proficiency 550 TOEFL Paper / 79 TOEFL Internet / 6.5 IELTS / Duolingo 100
Resume Required
Purpose Statement Required
*Unofficial transcripts will be taken into consideration for admissions; however, if admitted into the program, you must submit official transcripts to the University.
Apply 2025-26 Application

Application Deadlines

Applicants are encouraged to have their admission file completed as early as possible. All applications, required documents and letters of recommendation, if applicable, must be submitted by 5:00 PM U.S. Central Time on the day of the deadline. Deadlines are subject to change.

Data Engineering (CERT)
Timing on Admission Decision: Completed applications will be reviewed for admission on a rolling basis. Decisions generally will be made and sent to applicants within 4 to 6 weeks of receiving the application.
Application Deadlines for: Priority International Domestic
Fall 2025 June 1 August 1
Spring 2026 October 1 December 1
Summer 2026 March 1 May 1

Career Options

UTSA prepares you for future careers that are in demand. The possible careers below is data pulled by a third-party tool called Emsi, which pulls information from sources like the U.S. Bureau of Labor Statistics, U.S. Census Bureau, online job postings, other government databases and more to give you regional and national career outlook related to this academic program.


Students pursuing the 15-hour graduate certificate in Data Engineering will complete the following courses:

  • Database Management Systems or Principles of Database Management
  • Introduction to Data Engineering
  • Advanced Topics in Data Engineering

Students will also select two elective courses from the following:

  • Data Foundations
  • Machine Learning and Data Analytics
  • Special Problems
  • Cloud Computing
  • Introduction to Cloud Computing
  • Machine Learning
  • Data Mining and Machine Learning
  • Data Organization and Visualization

Certificate Advisor of Record

Anthony Rios, PhD

210-458-6303

anthony.rios@utsa.edu
Mark Sixma