Training in data analytics is increasingly important for advancement in nearly any career. The Advanced Data Analytics program offers career-enhancing degrees and certificates in data analytics. Join us in exploring this exciting field! 

 
 

The job market demand for data analytics professionals greatly outpaces the supply in virtually all industries. Individuals who can apply, interpret, and communicate data analysis to derive actionable business insights can garner high salaries even in entry-level positions and those with advanced credentials are often quickly promoted. Meanwhile, employers are increasingly recognizing non-degree or alternative credentials for those just entering the field.

"Our faculty come from a variety of backgrounds which makes them so valuable."
Michael MonticinoChair of Advanced Data Analytics at UNT
To help jumpstart or accelerate your career in data analytics, UNT has created flexible degree and certificate options. All core courses are available 100% online and taught by dedicated faculty with deep industry experience. Courses are also offered at the UNT Denton and Frisco campuses for those who prefer an in-person experience. The curriculum is project-based, providing participants a variety of practical experiences in solving real-world business problems. 
Faculty Focus
Faculty Focus

Dr. Amrita Thomas is a Clinical Assistant Professor and Program Advisor in the Advanced Data Analytics department at the University of North Texas. She earned her PhD in Business Administration with a focus in Management Science from The University of Texas at Arlington, and holds an MBA and MS in Healthcare Management from The University of Texas at Dallas. Her academic background is complemented by a BS in Biology and Business Administration, also from UT Dallas.

Dr. Thomas’s teaching portfolio includes a wide range of data analytics courses—spanning topics such as large data visualization, risk management, and data analytics. In her teaching, she emphasizes practical application, collaborative group projects, and hands-on learning with industry-relevant tools.

Beyond the classroom, Dr. Thomas is an active researcher whose work explores issues in operations and supply chain management, including product-harm crises, turnover intentions, the evolving concept of “quiet quitting” in academia, and empowering educational creativity through the use of AI. Her work has been published in peer-reviewed journals and presented at national conferences such as DSI, INFORMS, and POMS.

In addition to her teaching and research responsibilities, Dr. Thomas provides valuable departmental leadership as a course coordinator for key analytics classes, a member of various committees, and a reviewer for academic journals and conferences. She holds a Lean Six Sigma Green Belt certification and earned the AI Education for Teachers certificate. Driven by a passion for data-driven innovation and student-centric instruction, Dr. Thomas is committed to equipping future leaders with the analytical skills and critical thinking needed to excel in today’s data-powered world.

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