College of Arts and Sciences
BS in Data Science
If you enjoy using math and computers to analyze data that can be used to find solutions to real-world problems or to influence business decisions, our new Bachelor of Science in Data Science is a good fit for you! Data scientists are in high demand as corporations are increasingly reliant on data to make informed decisions. The overall well-being of a community is also dependent on the ability to process and interpret important data to help address a broad range of societal issues.
About the Major
The Data Science program provides you with the analytical and quantitative skills that are needed for a variety of careers that are growing at a fast pace.
What work does a data scientist perform? They create new processes for data modeling, algorithms, predictive models, and custom analysis. The information they extract helps businesses and organizations solve complex problems. Data Science is an emerging field that has numerous applications in many career areas including the sciences, business, engineering, health sciences, social sciences, and even the music industry. In fact, data science can be used anywhere!
At UHart, you receive rigorous training in computational mathematics, statistical methods, as well as best practices in data visualization to prepare you for a career as a data scientist, data engineer, data analyst, data architect, or business intelligence specialist.
One of the hallmarks of UHart’s program is the year-long Capstone course that allows you to work on a project with an area company to give you a rich, hands-on learning experience. The course prepares you for the workplace by providing you with teamwork, project planning and scheduling, writing, and presentation experience.
Degree Requirements
The Data Science program includes a core curriculum with exposure to a breadth of courses that lay a solid foundation for either a Computer Science/Mathematics or Business track. A total of 71-72 credits is required and includes a combination of mathematics and computer science courses.
Required Courses
Core required courses include:
Linear Algebra and Matrix Theory
Introduction to Data Science
Elements of Statistics
Fundamentals of Computing I and II
Data Visualization
For more information, and to see a complete list of major requirements, visit the Course Catalog.
Two Degree Tracks
Data Science students select one of the following tracks:
The Computer Science/ Mathematics track requires 19 credits and offers theoretical coding and mathematical modeling skills. Courses include:
Discrete Mathematics
Predictive Modeling for Data Science
Data Mining
Introduction to Artificial Intelligence
The Business track requires 18 credits and offers applied analytical skills. Courses include:
Business Finance
Introduction to Business Analytics
Predictive and Business Analytics
Business Data Mining
For more information, and to see a complete list of major requirements, visit the Course Catalog
Minor Requirements
A total of 18 to 21 credits is required for the Data Science minor, including 3 to 4 credits in Mathematics Preparation courses like:
- A Short Course in Calculus and Everyday Statistics
Required Data Science courses include:
- Introduction to Data Science and Predictive Modeling for Data Science
For more information, and to see a complete list of minor requirements, visit the Course Catalog.
Learning Outcomes
Bachelor of Science in Data Science students will possess an ability to:
- Execute a statistical analysis.
- Build and assess a statistical model.
- Program with professional statistical software.
- Interpret data by using best practices in data visualization.
- Recognize ethical and professional responsibilities associated with the application of data science.
Career Outlook
Data Science is one of the most highly paid jobs. According to Glassdoor, Data Scientists are one of the top 10 jobs in the U.S. based on median base salary, the number of active job openings, and employee satisfaction rates. According to the U.S. Bureau of Labor statistics, Data Science and Mathematical Science professions are among the fastest growing, with nearly 31 percent growth projected from 2019-29.
Nate Carr
Economics, Minors in Complexity, Data Science, and Environmental Studies, '21
The Data Science minor first helped familiarize me with programming and statistical analysis. Had I not taken the minor, I do not believe I would be comfortable writing any code or attempting to do statistics in a professional setting. The program I am in welcomes learning and growth, but to come in feeling confident that I can tackle problems given to me is a huge reward from studying this in school.
Jared Rubin
Mathematics, Data Science minor , '21
Recent graduate Jared Rubin is currently pursuing an MS in Data Science at Drexel University. “I enjoy problem-solving in an era that is reliant on technology more than ever,” he says on why he chose to study mathematics and data science at UHart. A recipient of UHart’s Regents Merit Scholarship, Jared also participated in the Research Experiences for Undergraduates Program with UHart’s Prosthetics and Orthotics Department. This project allowed Jared to work alongside other students researching “Modeling Feedback Control in Human Movement,” which was funded by the United Science Foundation (USF). Jared says UHart has been “nothing but amazing,” and throughout his four years, he can easily pinpoint his success to the culmination of all the courses he has taken, as well as the professors that have inspired him. Read more about Jared's UHart experience.
The University of Hartford will serve its true purpose of inspiring you to go beyond your full potential only if you are willing and open to trying new experiences.