Analyze and manage large datasets to inform real-world problem-solving and decision-making.
The Master of Science in Business Analytics and Artificial Intelligence Cohort program Data Science Track is a 36 semester-credit-hour STEM (Science, Technology, Engineering and Math) degree program at the Naveen Jindal School of Management.
This program is designed for students from various educational backgrounds. No prior work experience is required.
This program’s electives focus on data science.
Highlights of the Program
- Courses taught by world-class instructors
- Dedicated student services and advising support for MS BA Cohort students
- Many courses are offered in the evenings or online for maximum flexibility
- Courses selected to emphasize skills needed for today’s data science challenges in analyzing and managing large datasets to inform real-world problem-solving and decision-making
Data Science Track Curriculum
The internship course has a flexible credit hour and will be tailored to each student’s needs. An internship is required and may be taken after completing 18 credit hours. The internship course may be completed in one semester or can be spread over multiple semesters, with zero or one credit hour each.
Students in the Master of Science in Business Analytics and Artificial Intelligence Cohort program Data Science Track will complete the core course requirements for the degree.
Core Courses – MS in Business Analytics and Artificial Intelligence Cohort
- BUAN 6312 Applied Econometrics and Time Series Analysis
- BUAN 6320 Database Foundations for Analytics
- BUAN 6337 Predictive Analytics for Data Science
- BUAN 6356 Business Analytics With R or BUAN 6383 Modeling for Business Analytics
- BUAN 6398 Prescriptive Analytics
- BUAN 6359 Advanced Statistics for Data Science
* Note: All MBA/MS Analytics students should take BUAN 6359 in lieu of OPRE 6301, as credit cannot be given for both. They also will complete elective courses focusing on the Data Science Track.
Elective Courses – Data Science Track
- BUAN 6009 Business Analytics Internship or BUAN 6V98 Business Analytics Internship (Required)
- BUAN 6335 Organizing for Business Analytics Platforms
- BUAN 6340 Programming for Data Science
- BUAN 6341 Applied Machine Learning
- BUAN 6342 Applied Natural Language Processing
- BUAN 6346 Big Data
- BUAN 6357 Advanced Business Analytics With R
- BUAN 6382 Applied Deep Learning
- BUAN 6383 Modeling for Business Analytics
- BUAN 6385 Robotic Process Automation
- BUAN 6392 Causal Analytics and A/B Testing
- MIS 6309 Business Data Warehousing
- MIS 6363 Cloud Computing Fundamentals
- MIS 6389 AWS Cloud Solution Architecture
- MIS 6380 Data Visualization
Academic Calendar Timeframes
Courses are taught year-round to accommodate cohort students. Students may begin in any semester.
- Fall: Late August to mid-December
- Spring: Mid-January to mid-May
- Summer: Mid-May to mid-August
The sequence of the courses is subject to change.
Data Science Track Degree Plan – Master’s in Business Analytics and Artificial Intelligence Cohort
(Chronologically from left to right)
Typical Course Schedule – First Year
Semester 1
Semester 2
Typical Course Schedule – Second Year
Ready to start your Master’s in Business Analytics and Artificial Intelligence Cohort application?
Before you apply, get familiar with the application process for Master’s in Business Analytics and Artificial Intelligence Cohort program at UT Dallas.
Application Process