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Graduate Certificate in Data Analytics

Earn your Graduate Certificate in Data Analytics

Data 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.

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How to earn a graduate certificate

Graduate Certificate in Data Analytics Requirements

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:

Four Required Courses:

  • SEIS 603 Foundations of Python I
  • SEIS 630 Database Management Systems and Design
  • SEIS 631 Data Preparation and Analysis
  • SEIS 632 Data Analytics and Visualization

View the Graduate Programs in Software course catalog.

Graduate Certificates that Work for You

Convenient Schedule

Classes are offered weeknights from 5:45 – 9:00 p.m., Monday – Friday and/or alternating Saturdays from 9:00 a.m. – 4:00 p.m.

View Our Course Schedule
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Get the Facts

Attend an Information Session

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 evenings and weekends. We look forward to meeting you. 

Register For A Session

Faculty

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.

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Dr. Abe Kazemzadeh

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.

Dr. Abe Kazemzadeh
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Eric Level

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.

Eric Level
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Syed Ali Naqvi

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.

Syed Ali Naqvi