M.S. in Data Science

Alyssa Peterson portrait small - 180 x 250The M.S. degree in Data Science prepares students to pursue careers in the emerging and high-growth fields of data science and big data. It combines in-depth understanding with hands-on skills, technologies, techniques, and analysis tools for data science.

Graduates of this program will have the theoretical, practical, and comprehensive knowledge to manage and analyze large-scale, complex data to enable efficient data-driven discoveries and decisions.

* International students: The M.S. in Data Science is a STEM-designated and approved master's degree program.

In response to COVID-19, the University of St. Thomas has made prudent decisions to act on the advice of state and medical professionals. For fall 2020, nearly all of our classes in our Graduate Programs in Software and Data Science which are normally delivered in an on-campus classroom format, will be delivered live online with faculty ready to pivot to have all of our classes online if need be.  The classes are still being held during their normal time on weeknights and Saturdays. 

We are happy to help you in every way possible on your journey to apply, register, and start classes for fall term. Each of our classes meet once a week or every other Saturday and fall term will begin the week of September 9th.

Please consider attending one of the online information sessions we are hosting via Zoom on July 7th or July 21st.  Our staff and faculty are ready to assist you with your questions so e-mail us at gradsoftware@stthomas.edu.  That is why we are here.   

To complete the requirements for the Master of Science in Data Science, students must successfully complete 12 courses (36 graduate semester credits) and maintain a GPA of 2.7.

Current and inactive students who enrolled in this program prior to fall 2018 may opt to remain with the graduate program requirements from their current catalog, or move forward to the newest graduate program requirements for the M.S. Degree in Data Science.

M.S. Degree in Data Science Program Requirements for catalogs prior to fall 2018:

 

 

Complete a total of 12 three-credit courses (36 graduate credits).

Required Courses [11 courses]:

  • SEIS 603 Foundations of Software Development - Python (waived for appropriate prior programming experience) 
  • SEIS 610 Software Engineering
  • SEIS 615 DevOps and Cloud Infrastructure
  • SEIS 630  Database Management Systems and Design
  • SEIS 631 Foundations of Data Analysis
  • SEIS 632 Data Analytics and Visualization
  • SEIS 732 Data Warehousing and Business Intelligence
  • SEIS 736 Big Data Engineering
  • SEIS 737 Big Data Management
  • SEIS 763 Machine Learning
  • SEIS 764 Artificial Intelligence

Electives [1 or 2 courses]:

Choose one elective (or two electives if SEIS 603 is waived) from any course listed in the Graduate Programs in Software course catalog

View SEIS Course Catalog.

Suggested course sequence* with SEIS603 required: 

Semester 1: SEIS 603 and SEIS 610 
Semester 2: SEIS 630 and SEIS 631
Semester 3: SEIS 632 and SEIS 763
Semester 4: SEIS 764 and SEIS 615 
Semester 5: SEIS 732 and SEIS 736
Semester 6: SEIS 737 and 1 Elective 

 Suggested course sequence* with SEIS603 waived:

Semester 1: SEIS 610 and SEIS 631
Semester 2: SEIS 630 and SEIS 632
Semester 3: SEIS 615 and SEIS 763 
Semester 4: SEIS 736 and SEIS 764
Semester 5: SEIS 737 and 1 Elective 
Semester 6: SEIS 732 and 1 Elective

* Course sequences assume a fall semester start. Please consult with your advisor if you have questions.

  1. A bachelor's degree in any discipline from a regionally-accredited educational institution in the U.S. (or international equivalent). 
  2. An overall grade-point-average (GPA) of at least 2.7. (Applicants with a GPA less than 2.7 will be considered for provisional admission with their professional experience factored into the decision.)

Take the Next Step:

Data Science Job Outlook

“We anticipate that one of the main challenges of the new decade is going to be finding talent... the data scientist role is already one of the hottest on the job market, and we’re certain this trend will continue for the next decade.”** -- Cognetik – An analytics and data science company  

On the Glassdoor’s 2020 “Best Job in America” rankings, the job of data scientist has remained in the top three spots for the last five years, with a median base salary of $108,000.*** 

**Cognetik.com/blog/data-analytics-market-in-2020-trends-forecastschallenges, Jan. 7, 2020. 

***“Glassdoor’s Best Jobs in 2020 Dominated by Tech.” Forbes, Jan. 15, 2020. 

Center for Applied Artificial Intelligence

Learn how industry can collaborate with St. Thomas faculty and graduate students to work on real-world problems using data science through the Center for Applied Artificial Intelligence.