Mini Master of Big Data and Artificial Intelligence

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.

Upcoming Program Dates: October 5 - 9, 2020.

Mini Master of Big Data and AI Schedule - October 2020 

[REGISTER NOW!]

COST: $2,495 per program.*

* EARLY BIRD DISCOUNTS: 
The registration early bird deadline for October mini master's programs is September 15th. Use the discount code EARLYBIRD at checkout to receive $500 off the regular price of $2,495! (Pay only $1,995 per program!)

Use Discount Code EARLYBIRD during checkout.

A Mini Master program consists of  easy-to-understand, timely and relevant lectures communicated to you by our University of St. Thomas Graduate Programs in Software faculty and industry experts. It is a non-credit professional development lecture series that earns you CEU's (continuing education units). 

Each lecture topic is delivered in three-hours by a different instructor. You will have the opportunity to network with your peers and gain knowledge of a wide variety of industry relevant topics.

We offer our Mini Master’s programs in a week-long format that allows you to add this credential to your resume quickly. At the end of the week, you will receive a certificate of completion with CEU’s earned. And unlike taking a university course, there is no homework or any tests to take. Simply complete your registration and payment, and you will be ready to take your Mini Master’s program.

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 & 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

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 who are looking to increase their knowledge of a wide array of data science, big data, and artificial intelligence topics.
  • Those in transition in industry 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.

Faculty who will deliver the Mini Master in Big Data and Artificial Intelligence include St. Thomas' Graduate Programs in Software faculty and industry experts:

  • Jordan Barlow
  • Ron Chiang
  • Anne Eaton
  • Frank Haug
  • Chih Lai
  • Manjeet Rege

See Mini Masters Faculty page for full details on the professionals who teach our Mini Master's Programs.

Mini Master of Big Data and Artificial Intelligence

COST: $2,495 per program.*

* EARLY BIRD DISCOUNTS: Register by February 1st (for any mini master held in March), May 15th (for any mini master held in June) or September 15th (for any mini master held in October) to receive $500 off the regular price of $2,495! (Pay only $1,995 per program!)

Use Discount Code EARLYBIRD during checkout.

This program is managed by the Graduate Programs in Software at the University of St. Thomas. For questions about this program, please contact Jana Studelska, Program Coordinator, at 651-962-5564 or email jana.studelska@stthomas.edu for assistance.

  • Earns 2.7 CEU's upon successful completion of program. Continuing Education Units (CEU's) are non-credit educational experiences. One CEU is equivalent to 10 contact hours of study.
  • Program sessions will be delivered ONLINE in June 2020 and will be held on the University of St. Thomas, St. Paul campus when we are able. Ramp parking is available within one block.
  • There are no prerequisites or pre-readings to enroll in this non-degree program.

Discounts available for all St. Thomas alumni and current St. Thomas students of degree seeking programs:
Receive 15% off Graduate Programs in Software mini master's programs. To obtain the discount contact Jana Studelska, Program Coordinator, at 651-962-5564 or email jana.studelska@stthomas.edu for instructions on how to register and receive this discount.

Please note that discounts can not be combined.



Graduate Software Professional Development Payment and Refund Policy:

The full fee or approved purchase order is due at the time of registration. Registration cannot be processed without payment. Contact Jana Studelska, Program Coordinator, at 651-962-5564 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.

If you are part of the Dislocated Worker Program and are receiving funding assistance through a Workforce Center, please contact Jana Studelska at 651-962-5564 or email jana.studelska@stthomas.edu for directions on how to register. This program is WOIA-certified.

Have questions or want to get on our mailing list for future offerings? Please fill out your contact information on the form to the right. Or contact Jana Studelska, Program Coordinator, at 651-962-5564 or email jana.studelska@stthomas.edu for assistance.