Entrance Requirements
A bachelor's degree from a U.S. regionally accredited institution (or international equivalent) and a minimum GPA of 2.7 is required. The GRE/GMAT is not required.
You can also choose to use TommieBot, an AI search assistant developed by St. Thomas School of Engineering students and faculty.
Take me to TommieBotData analytics involves using tools and techniques to turn raw data into insights that help companies and organizations make better business decisions. The Graduate Certificate in Data Analytics uses industry-standard software in practical applications directly related to current trends and issues that impact organizations across a broad spectrum. Professionals who are skilled with these tools and have the latest data analysis skills are highly valuable and in demand.
You will gain hands-on experience with a variety of analytical tools and learn how to manage and manipulate data, create data visualizations, and make strategic data-driven recommendations to influence business outcomes. Improve your organization’s data-driven decision making and enhance or advance your career path.
Students have the option to use the coursework from their graduate certificate to continue in a Master of Science degree program offered by Graduate Programs in Software.
How to earn a graduate certificate
To complete the Graduate Certificate in Data Analytics, you must complete the following four courses (12 graduate semester credits) with at a GPA of 2.7 or better:
A bachelor's degree from a U.S. regionally accredited institution (or international equivalent) and a minimum GPA of 2.7 is required. The GRE/GMAT is not required.
Classes are offered in-person and online weeknights from 5:30 – 8:30 p.m., Monday – Friday.
All programs in the Software Engineering and Data Science department at the University of St. Thomas are offered in CoFlex mode, i.e. the student has the flexibility to attend classes either in-person or online.
Inclusions and restrictions:
Get the Facts
Attend an online information session to learn program details. Our programs serve working professionals with busy lives. Set your own pace and start fall, spring or summer. Classes are offered in-person and online weeknights from 5:30 – 8:30 p.m., Monday – Friday. We look forward to meeting you.
All full-time tenured faculty hold Ph.D. degrees and offer extensive industry experience. Adjunct faculty are selected based on professional experience and educational credentials.
Dr. Abe Kazemzadeh is an Assistant Professor in the University of St. Thomas Graduate Programs in Software department. His undergraduate interest in linguistics led him to graduate studies in computer science that focused on natural language processing.
Eric Level has taught graduate software engineering and computer programming for over 30 years. He has also consulted and done technical training for local and national companies and government agencies. His research interest is applying educational technology to software engineering education.
Ali Naqvi has worked in many roles over the past 25+ years including Software Department Manager at Starkey Hearing Technologies, Lead Software Engineer, SCRUM Master, and Agile Transformation Coach at Thomson Reuters; Technical Architect and Senior Technical Analyst for Target Corporation; Software Architect at Object Technology Solutions Inc.; and Programmer/Tester at IBM Mankato, Minnesota.