Interdisciplinary
We build well-rounded and versatile graduates because of our approach to data analytics. Our program is one of the most interdisciplinary programs in the United States.
Data Analytics
Organizations need to wrestle with a tremendous amount of data on a daily basis. The data analytics major at the 91制片厂. Thomas prepares you to be a leader who can solve big problems using big data. You will gain tools to perform meaningful data analyses while developing needed communication skills to articulate important strategic decisions.
Why Study Data Analytics at St. Thomas?
The data analytics major through the College of Arts and Sciences utilizes a unique interdisciplinary approach. You will choose an area of expertise, or "domain" as we call it, while developing the statistical and computational skills and knowledge you will need to ask meaningful data-centered questions about your particular area of interest at the same time.
Solving Real Problems
Major Overview
The data analytics major through the College of Arts and Sciences focuses on three areas that work together. You will choose a domain consisting of 16 to 20 credits in a particular area of interest that will inform your statistical and computational knowledge throughout your time at St. Thomas. You will also receive rigorous training in statistics and computer science at the same time, ensuring you are equipped to engage with data-driven questions in your domain. Finally, you will complete coursework in professional writing and communication so you can effectively communicate the results of your analyses.
Four-Year Plan
The Data Analytics major is flexible and integrative. Therefore, your four-year plan will vary depending on your domain and career interests. We recommend meeting with a faculty member to develop a four-year plan that matches and supports your interests.
Degree Awarded
Bachelor of Science in Data Analytics (College of Arts and Sciences)
Major Domains
There are 13 potential domains of interest you can choose from as part of the data analytics major in the College of Arts and Sciences.
- Actuarial Science
- American Politics
- Biology
- Chemistry
- Criminal Justice
- Economics
- Environmental Science
- Geographic Information Systems
- Geology
- Information Systems
- Physics
- Public Health
- Sociology
Major Overview
Major Overview
The data analytics major through the College of Arts and Sciences focuses on three areas that work together. You will choose a domain consisting of 16 to 20 credits in a particular area of interest that will inform your statistical and computational knowledge throughout your time at St. Thomas. You will also receive rigorous training in statistics and computer science at the same time, ensuring you are equipped to engage with data-driven questions in your domain. Finally, you will complete coursework in professional writing and communication so you can effectively communicate the results of your analyses.
Four-Year Plan
Four-Year Plan
The Data Analytics major is flexible and integrative. Therefore, your four-year plan will vary depending on your domain and career interests. We recommend meeting with a faculty member to develop a four-year plan that matches and supports your interests.
Degree Awarded
Degree Awarded
Bachelor of Science in Data Analytics (College of Arts and Sciences)
Major Domains
Major Domains
There are 13 potential domains of interest you can choose from as part of the data analytics major in the College of Arts and Sciences.
- Actuarial Science
- American Politics
- Biology
- Chemistry
- Criminal Justice
- Economics
- Environmental Science
- Geographic Information Systems
- Geology
- Information Systems
- Physics
- Public Health
- Sociology
Career Paths
We give you the tools to transform data into effective strategic outcomes. You can go down a variety of career paths with a degree in data analytics.
- Data Analyst
- Economist
- Data Scientist
- Marketing
- Public Policy
- Public Health
A Unique Opportunity
Our data analytics program is unique in its approach, pulling knowledge and experience from various fields to give students a different perspective on how to tackle big data.
Faculty Expertise
What is your passion? No matter what that might be, you will have the opportunity to connect with faculty who share your interests with expertise in diverse fields.
Scholarships
Incoming data analytics students have the opportunity to apply for the Science, Mathematics and Engineering Scholarship, which is awarded to high-achieving students planning to major in the sciences.
Faculty With Real Experience
Dr. Matthew Kim
Dr. Kim teaches courses in applied microeconomics and researches the impacts of government policies on health care, food security and education.
Dr. Erin Curran
Dr. Curran researches transformational learning in higher education and teaches about topics like applied statistics.
Dr. Christina Knudson
Dr. Knudson teaches courses focusing on probability and mathematical statistics.
Gaining Invaluable Practical Experience
Data analytics is in demand. You have unique opportunities to gain beneficial practical skills and experiences through your interactions with professors and fellow students.
Domains of Interest
- There are 13 potential domains of interest for you to specialize in, representing diverse fields across the natural and social sciences.
- We are developing new domains to widen the offerings to more disciplines within the College of Arts and Sciences and with other colleges and schools at St. Thomas.
In Demand
- Our program is in demand. Employers have been asking us to send them our graduates already!
- This program is new and represents the future vision of programs at the 91制片厂. Thomas. It is interdisciplinary and is designed to prepare you to be a leader in various fields.
Take the Next Step
There is more to learn about St. Thomas; including our ranking as a Best Value School by U.S. News & World Report, the many classroom and extracurricular activities that will be part of your student experience and so much more. Schedule a visit to see our beautiful campus or start your application today.