Get a Brief Education on a Timely Topic

Mini Master of Big Data and AI

Get a Mini Master in Big Data and AI

Data can help companies improve their operations and make faster, more intelligent business decisions. However, as the volume of available data increases, it becomes more challenging to capture and manage it. The Mini Master of Big Data and Artificial Intelligence lecture series is a response to the expansive growth in data and the corresponding need to store, search, share and analyze massive data sets. In addition, this series will cover a broad range of topics in the field of artificial intelligence (AI) and will give participants insight into how AI is applied and used in the industry today.

IS THIS FOR ME?

The Mini Master of Big Data and Artificial Intelligence is relevant to many business and information technology professionals. Participants who would benefit from this program include:

Professionals looking to increase their knowledge in data science, big data, and artificial intelligence.
Those in career transition or new to the data science profession. Managers or team leaders who work on teams responsible for large data sets and are looking for solutions for their organizations.

Contact

Melissa Fink

Program Coordinator

melissa.fink@stthomas.edu

Phone Number

(651) 962-5500

What You Will Learn

Participants in this program will:

Gain an overview of Big Data and Artificial Intelligence topics.
Expand knowledge of key concepts in Big Data and Artificial Intelligence, including opportunities and trends. Learn concepts, techniques and methodologies in the field of data science.

Topics covered in the Mini Master of Big Data and Artificial Intelligence:

Artificial Intelligence
DevOps Cloud Computing
Database Management Systems Design
Data Warehousing Business Intelligence
Big Data Engineering
Machine Learning
Data Visualization
Statistical Methods for Data Science
Big Data Management

Faculty Highlights

Dr. Manjeet Rege

Manjeet Rege is a Professor of Graduate Programs in Software and Data Science and Director of the Center for Applied Artificial Intelligence. He is the co-host of the "All Things Data" podcast that brings together leading data scientists, technologists, business model experts and futurists to discuss strategies to utilize, harness and deploy data science, data-driven strategies and enable digital transformation.

Dr. Anne Eaton

Anne completed her Masters in Biostatistics at the University of Minnesota in 2010, then worked for six years as a biostatistician at Memorial Sloan Kettering Cancer Center in New York where she collaborated on many projects with the Breast and Hepatopancreatobiliary Services in the Department of Surgery as well as research related to the design and conduct of phase I trials.

Dr. Chih Lai

As a professor at University St. Thomas, Dr. Lai’s research interests include Artificial Intelligence, Machine Learning and Deep Learning on multimedia data. Prior to St. Thomas, Lai was a principal software engineer, working on a collision avoidance system. He also worked with Medtronic and has pending patents on monitoring and evaluating Parkinson patients.

Logistics, Discounts and Policies

St. Thomas Student and Alumni Discount

Receive 15% off Graduate Programs in Software mini master's programs. To obtain the discount contact Melissa Fink, Program Coordinator, at (651) 962-5500 or email melissa.fink@stthomas.edu for instructions on how to register and receive this discount.

Dislocated Worker Program

If you are part of the Dislocated Worker Program and are receiving funding assistance through a Workforce Center, please contact Melissa Fink, Program Coordinator, at (651) 962-5500 or email melissa.fink@stthomas.edu for directions on how to register. This program is WOIA-certified.

Continuing Education Units

You can earn 2.7 CEUs upon successful completion of program. CEUs are non-credit educational experiences. One CEU is equivalent to 10 contact hours of study.

Refund Policy

The full fee or approved purchase order is due at the time of registration. Registration cannot be processed without payment. Contact Melissa Fink, Program Coordinator, at (651) 962-5500 or email melissa.fink@stthomas.edu for more information. Substitutions or transfers can be made up to the day of the program. If you need to cancel, please call our office at least five working days before the beginning of the program to avoid a 10 percent processing fee. Cancellations made after the program begins are subject to the full fee.