Earn your Graduate Certificate in Big Data
This certificate helps professionals understand massive datasets by having the analytics skills needed to work in this high demand field. Organizations need to manage Big Data as they continue to capture, store, search, share, visualize and analyze massive, unstructured, and complicated data sets. In response to the growing demand to manage Big Data across all sectors (private, public, government and academic), the Graduate Programs in Software department has created the Graduate Certificate in Big Data.
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
Graduate Certificate in Big Data Requirements
To complete the Graduate Certificate in Big Data, you must complete the following four courses (12 graduate semester credits) with at a GPA of 2.7 or better. Students will be expected to have a prior background in Python or take SEIS 603 Foundations of Python I:
Four Required Courses:
- SEIS 630 Database Management Systems and Design
- SEIS 631 Data Preparation and Analysis
- SEIS 732 Data Stores and Feature Design
- SEIS 745 Data Lake Engineering
Graduate Certificates that Work for You
Classes are offered in-person and online weeknights from 5:30 – 8:30 p.m., Monday – Friday.
Course Delivery Mode
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:
- CoFlex course delivery mode is available to U.S. citizens, permanent residents, and students on work visas.
- International students or students receiving certain scholarship benefits are ineligible to take the online option and must attend classes in-person.
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 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. Chih Lai
Before joining the Graduate Software faculty, Dr. Chih Lai was a principal software engineer, working on a collision avoidance system. Lai received three U.S patents and three European patents. Lai also worked with Medtronic and has pending patents on monitoring and evaluating Parkinson patients.
Dr. Manjeet Rege
Dr. Manjeet Rege is an Associate Professor of Graduate Programs in Software and Data Science and Director for the Center for Applied Artificial Intelligence. He is also the co-host of the "All Things Data" podcast, interviewing data scientists, technologists, business experts and futurists which averages over 60,000 listeners.