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2 Years On Campus Masters Program
University of Texas Dallas
The Master of Science in Business Analytics and Artificial Intelligence (MS BA/AI) prepares students to transform complex data into meaningful business insights and strategic recommendations. The STEM-designated programme combines business analytics, data science and artificial intelligence, equipping graduates for careers in data analysis, data engineering, business intelligence and other technology-driven business fields.
Curriculum Structure
The programme requires 36 semester credit hours, divided into 18 credit hours of core courses and 18 credit hours of electives. Students develop a foundation in analytics and AI before selecting electives from specialised tracks that connect analytical methods with different business sectors.
Core Curriculum
The core curriculum builds technical and analytical capabilities through courses such as:
Applied AI
Database Foundations for Business Analytics
Business Analytics With SAS, Business Analytics With R, or Modeling for Business Analytics
Predictive Analytics for Data Science
Prescriptive Analytics
Advanced Statistics for Data Science
Elective Courses and Specialisations
Students choose electives from specialised tracks, including Accounting Analytics, Cybersecurity Analytics, Data Engineering, Data Science, Decisions and Operations Analytics, Enterprise Systems Analytics, Financial Analytics, Healthcare Analytics, Marketing Analytics, Product and Innovation Analytics, and Social Media Analytics. Examples of courses include Applied Machine Learning, Applied Natural Language Processing, Big Data, Applied Deep Learning, Financial Modeling for Investment Analysis, Healthcare Analytics and Marketing Data Analysis and Research.
Focus Areas
Business Analytics, Artificial Intelligence, Data Science, Machine Learning, Predictive Analytics, Prescriptive Analytics, Data Engineering, Big Data, Database Management, Cybersecurity Analytics, Financial Analytics, Healthcare Analytics, Marketing Analytics, Accounting Analytics, Operations Analytics, Social Media Analytics, Product and Innovation Analytics.
Learning Outcomes
Graduates develop the ability to collect, manage and analyse complex datasets, apply statistical and computational techniques, and use artificial intelligence and machine learning to address business challenges. They also learn to interpret analytical findings, develop data-driven recommendations, communicate insights to stakeholders and contribute effectively to collaborative business and technology projects.
Experiential Learning
Students can develop practical skills through the programme's internship opportunity, applied analytics coursework and career preparation workshops. The curriculum also exposes students to industry-relevant tools and technologies, including Python, R, SAS, Hadoop, Spark and Tableau, helping them work with real-world data and business problems.
Professional Alignment (Accreditation)
The Naveen Jindal School of Management is accredited by the Association to Advance Collegiate Schools of Business (AACSB). The programme is also STEM-designated, reflecting its emphasis on technical, quantitative and analytical skills.
Reputation (Employability Rankings)
The programme is ranked No. 21 overall and No. 9 among public schools in the U.S. News & World Report 2026 Best Business Analytics Programs ranking. It is also ranked No. 25 overall in the United States and No. 12 among U.S. public programmes in the QS 2026 Masters in Business Analytics Rankings.
According to the Jindal School's 2023 senior exit surveys, 83% of Business Analytics and Artificial Intelligence graduates found employment within 90 days of graduation, with an average compensation package of $93,000.
Career Opportunities
Data Scientist, Data Engineer, Data Analyst, Business Intelligence Analyst, Business Intelligence Engineer, Business Intelligence Consultant, Big Data Engineer, Risk Analyst, Fraud Analyst, Pricing Analyst, Strategic Business Analyst, Marketing Analyst, Market Research Analyst, Financial Operations Analyst, Systems Analyst, Procurement Specialist.
Programme Formats: The degree is available in Flex, Cohort and Online formats. The Flex option offers electives across multiple tracks, while Cohort options provide a more structured course sequence. Online study is also available.
At the University of Texas at Dallas, the MS in Business Analytics and Artificial Intelligence program is designed to provide students with hands-on experience that translates theoretical knowledge into practical skills. The program emphasizes experiential learning through various opportunities, including collaborative projects, internships, and access to cutting-edge technology and facilities. Students engage in real-world problem-solving, working with industry-standard tools and software that prepare them for successful careers in analytics and AI.
Here are some key aspects of the experiential learning opportunities available in this program:
- Collaborative Projects: Engage in team-based projects that simulate real-world business challenges, allowing you to apply analytical techniques and AI methodologies.
- Internships: Gain valuable work experience through internships with leading companies, providing a platform to apply your skills in a professional setting.
- Software and Tools: Utilize industry-standard software such as Python, R, Tableau, and SQL, which are essential for data analysis and visualization.
- Research Laboratories: Access dedicated labs equipped with advanced technology for data analysis and AI research, fostering an environment of innovation and exploration.
- Field Trips: Participate in field trips to local businesses and tech companies, offering insights into how analytics and AI are applied in various industries.
- Libraries and Resources: Benefit from extensive library resources, including databases and journals specific to business analytics and AI, to support your research and learning.
- Institutes and Centers: Collaborate with the Institute for Data Analytics and the Center for Artificial Intelligence, which provide additional resources, workshops, and networking opportunities.
These experiential learning components are designed to enhance your educational journey and prepare you for a successful career in the rapidly evolving fields of business analytics and artificial intelligence.
Consider applying to the MS in Business Analytics and Artificial Intelligence at UT Dallas to take advantage of these incredible opportunities!
The MS in Business Analytics and Artificial Intelligence at the University of Texas Dallas equips graduates with the skills and knowledge to excel in a rapidly evolving job market. With a strong emphasis on data-driven decision-making, graduates often find themselves in high-demand roles such as Data Analyst, Business Intelligence Consultant, and AI Solutions Architect. The program not only prepares you for immediate employment but also sets the stage for long-term career growth in a variety of industries:
- University Services: The Career Management Center offers personalized career coaching, resume workshops, and networking events to connect students with potential employers. Additionally, the university hosts job fairs and provides access to job postings specifically tailored for business analytics and AI roles.
- Employment Stats and Salary Figures: According to recent data, graduates from the program have a high employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for graduates is around $85,000, with many professionals earning significantly more as they gain experience.
- University–Industry Partnerships: UT Dallas has established partnerships with leading companies such as IBM, Deloitte, and Texas Instruments, providing students with opportunities for internships, collaborative projects, and real-world experience that enhances their learning.
- Long-term Accreditation Value: The program is accredited by the AACSB, a hallmark of excellence in business education, ensuring that your degree holds significant value in the job market.
- Graduation Outcomes: Alumni of the program have gone on to work for top firms in various sectors, including finance, healthcare, and technology, showcasing the versatility and demand for skills acquired during the course.
Further Academic Progression: After completing the MS in Business Analytics and Artificial Intelligence, you may choose to further your studies by pursuing a Ph.D. in Information Systems or a related field. This path can lead to academic positions, advanced research opportunities, or specialized roles in industry that require a deeper understanding of analytics and AI technologies. Additionally, you could consider obtaining professional certifications in data science or machine learning to enhance your expertise and marketability.
The opportunities are vast, and the journey begins with your application to this transformative program at UT Dallas!
Data scientistData engineerData analystBusiness intelligence analystBusiness intelligence engineerBusiness intelligence consultantRisk analystFraud analystPricing analystStrategic business analystMarket analyst
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