Data Science B.A.

Undergraduate
On Ground
120
4 years

Bachelor of Arts in Data Science at Harding

This degree is designed for students who wish to pursue a career in data science or related fields. This degree requires classes in mathematics, computer science and information systems. The B.A. gives the student the flexibility of minoring in a field of their choice.

Why study data science at Harding?

A growing field

According to the U.S. Bureau of Labor Statistics, the demand for mathematicians is expected to grow by 23% over the next decade — due in part to the increasing demand for people who can analyze big data as well as the importance placed on technology. Many employers seek out the skills obtained in a mathematics degree since those majors have the necessary skills to develop and maintain the technology needed in our society.

Math Competitions

Students have the opportunity to participate in math competitions such as the MAA Regional Math Contest and Arkansas Undergraduate Math Contest. They also take part in other contests like Team Jeopardy and Integration Bees. At these various events, students are able to present their research and prepare for their capstone projects.

Mathematics seminar

Mathematics seminar allows for the University mathematics community to meet and learn together once a week. Students present their capstone seminar research to fellow students as well as hear from guest speakers.

What can you do with a degree in data science?

Data analysis

A data analyst interprets large volumes of data to extract valuable insights, trends and patterns. Using statistical methods and software tools, they transform raw data into actionable information that guides strategic business decisions and enhances operational efficiency. Data analysts play a crucial role in optimizing processes, predicting outcomes and driving growth within organizations.

Investment analysis

An investment analyst conducts in-depth research and analysis of financial markets, stocks, bonds and other investment vehicles. Using quantitative methods and financial modeling, they assess risks, identify opportunities and make informed recommendations to optimize investment portfolios. Investment analysts play a pivotal role in guiding clients or organizations to achieve their financial goals through strategic investment strategies.

Statistics

A statistician applies mathematical and statistical methods to gather and analyze data, providing insights that support informed decision-making in various fields. They design experiments, develop models and utilize software to analyze data sets, helping businesses and researchers make data-driven decisions and solve complex problems.

In response to a projected 23% growth in demand for mathematicians, our program equips students with the skills to analyze data and drive innovation.
Dr. Ron Smith

Department Chair