Curriculum – BS in Business Analytics

Explore the UT Dallas BS in Business Analytics Degree Plan

The Bachelor of Science in Business Analytics at the Naveen Jindal School of Management requires 120 semester credit hours to complete the program. For the latest information about academic degree plans, course catalogs and course information, please visit the BS in Business Analytics page of the UT Dallas Undergraduate Catalog for the most updated curriculum details.

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Degree Plan Highlights – BS in Business Analytics

“SCH” indicates “Semester Credit Hours.”

42SCH

Core Curriculum Requirements*

42 semester credit hours

69SCH

Major Requirements*

69 semester credit hours

9SCH

Elective Requirements

9 semester credit hours

4years

Time to Completion

4 years full time

*These details apply to the most recent catalog. Catalogs from previous years are available online at the main UT Dallas Catalog page. Please contact the JSOM Academic Advising Office if you have further questions. See catalog for course requirements.

BS in Business Analytics Tracks

See Business Analytics Guided Electives in the UT Dallas catalog for course requirements for each track.

The Marketing Analytics Track focuses on finding patterns and valuable actionable insights from marketing data such as retail transaction data or social media platforms. This includes identifying trends, analyzing customer feedback and understanding customer behavior to best target future marketing efforts for businesses to drive profitability.
See Marketing Analytics Track courses in the catalog listing.

The Operations and Supply Chain Management Track focuses on using analytics to make data-driven decisions to improve operational efficiency and manage supply chain distribution for business across various domains and industries.
See Operations and Supply Chain Management Track courses in the catalog listing.

The Finance and Risk Analytics Track is recommended for students interested in using analytics to aide financial institutions by providing data-driven solutions to manage risk and how to use quantitative models.
See Finance and Risk Analytics Track courses in the catalog listing.

The Finance and Risk Analytics Track focuses on using analytics to aide financial institutions to measure and mitigate against multitude of risks and optimize on financial performance by providing data-driven solutions using advanced quantitative modeling techniques.
See Information Technology Track courses in the catalog listing.

The Data Science Track focuses on advancing the knowledge of data analytics into more complex fundamentals of statistical modeling for machine learning and artificial intelligence applications in business.
See Data Science Track courses in the catalog listing.

Professor Explaining Experiment

Business Analytics Capstone Course

All business analytics students are required to complete a project-based capstone course. Students work in teams to apply the skills and concepts they have learned throughout the program to complete a company-sponsored project. Their ability to apply what they have learned and explore new possibilities drives the success of the project. Students work directly with company sponsors, faculty members and their peers.

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