Business Analytics and Artificial Intelligence Major, MS

10 Months On Campus Masters Program

University of Tennessee

Program Overview

The Master of Science in Business Analytics and Artificial Intelligence (MSBAi) at the University of Tennessee, Knoxville, prepares students to use advanced analytics and artificial intelligence to solve complex business challenges. This accelerated, STEM-designated programme combines technical training, business knowledge and practical industry experience, helping graduates develop the skills to turn data into meaningful business decisions.

Curriculum Structure

The programme consists of 36 credit hours delivered over three semesters in approximately 10 months. Its curriculum combines business analytics foundations with specialised artificial intelligence courses, allowing students to develop technical expertise and apply it to real organisational challenges.

Summer Semester – Building Analytical and Communication Foundations: Students begin by developing their ability to interpret data, communicate insights and understand the technical foundations of business analytics. Courses include Communication and Storytelling with Data, Probability Models for Customer Analytics and Data Engineering for Business. These subjects help students understand how data is collected, organised, analysed and presented to support business decisions.

Fall Semester – Developing Advanced Analytics and AI Skills: Students explore advanced analytical methods and learn how to use statistical models, optimisation techniques and machine learning to address business problems. Core courses include Decision Optimization, Statistical Methods for Business, Machine Learning for Business, Simulation Modeling and Deep Learning for Business. This stage strengthens their ability to develop predictive models and use AI-driven techniques in business environments.

Winter and Spring Semesters – Specialisation and Practical Application: Students deepen their AI knowledge through Natural Language Processing and Graph Analytics for Business, while electives allow them to explore areas such as Generative AI, Deep Reinforcement Learning for Business, App Development for Business Analytics, Causal Inference and Supply Chain Analytics. The programme concludes with Business Analytics Experience, a capstone-style course in which students work with corporate partners to develop solutions to real business challenges.

Focus Areas

Business analytics, artificial intelligence, machine learning, deep learning, generative AI, natural language processing, graph analytics, data engineering, statistical modelling, decision optimisation, predictive analytics, business communication and data storytelling.

Learning Outcomes

Graduates develop the ability to collect, manage and analyse complex datasets, build predictive models and apply advanced AI techniques to business problems. They learn to use analytical tools and methods to identify patterns, evaluate business decisions and develop practical solutions. The programme also strengthens communication, teamwork and data storytelling skills, enabling graduates to present technical findings clearly and translate them into actionable business recommendations.

Experiential Learning

The programme emphasises practical learning through team-based activities, hands-on technical coursework and a corporate partner capstone project. During the final semester, students work in teams to solve a real business problem presented by a corporate partner, communicate with company representatives and present their findings and proposed solutions. Students also gain exposure to tools and techniques such as Python, SQL, generative AI applications, prompt engineering, retrieval-augmented generation and AI agent development. The annual Business Analytics Forum provides additional opportunities to connect with industry professionals and potential employers.

Professional Alignment

The programme is STEM-designated, making it eligible for the applicable extended Optional Practical Training (OPT) period for qualifying international students in the United States. It is offered through the Haslam College of Business, which is accredited by AACSB International. This provides students with a combination of recognised business education and specialised technical training in analytics and artificial intelligence.

Reputation and Career Opportunities

The programme prepares graduates for careers across technology, consulting, finance, healthcare, manufacturing, retail and other data-driven industries. According to Haslam College of Business, nearly 90% of its business analytics students accept job offers within six months of graduation, with a reported median annual salary exceeding $87,563 and an average signing bonus of $9,950. These figures are published for the business analytics programme and should not be interpreted as a guaranteed outcome for every MSBAi graduate.

Graduates can pursue roles such as Data Scientist, Business Analyst, Business Intelligence Analyst, Data Engineer, Machine Learning Engineer, Artificial Intelligence Engineer, Analytics Manager, Quantitative Analyst, AI Consultant and Predictive Analytics Specialist.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Tennessee, the Business Analytics and Artificial Intelligence Major, MS program is designed to provide students with hands-on experience that translates theoretical knowledge into practical skills. Students engage in real-world projects, utilize cutting-edge software, and collaborate with industry professionals, ensuring they are well-prepared for the demands of the analytics field. The program emphasizes experiential learning through various facilities and tools that enhance the educational experience.

Here are some key components of the experiential learning opportunities available to students in the Business Analytics and Artificial Intelligence Major, MS program:

- Data Analytics Lab: Equipped with advanced software tools like R, Python, and Tableau, this lab allows students to work on data analysis projects and gain proficiency in industry-standard applications.

- Capstone Projects: Students collaborate with local businesses on capstone projects, applying their skills to solve real business problems and gain valuable insights into the analytics process.

- Internship Opportunities: The program encourages internships with leading companies, providing students with the chance to gain practical experience and build professional networks.

- Field Trips: Students have the opportunity to visit local businesses and organizations, allowing them to see analytics in action and understand how data-driven decisions are made in various industries.

- Workshops and Seminars: Regular workshops and guest lectures from industry experts help students stay updated on the latest trends and technologies in business analytics.

- Research Facilities: Access to the Haslam College of Business research centers enables students to engage in cutting-edge research and collaborate with faculty on innovative projects.

- Library Resources: The university's extensive library system provides access to a wealth of academic journals, databases, and resources essential for research and learning.

- Networking Events: The program hosts networking events and career fairs, connecting students with potential employers and industry leaders.

These experiential learning opportunities not only enhance your academic journey but also equip you with the skills and experiences that employers are looking for in the competitive field of business analytics.

Progression & Future Opportunities

The Business Analytics and Artificial Intelligence Major, MS at the University of Tennessee equips graduates with the skills and knowledge to excel in a rapidly evolving data-driven landscape. Alumni of this program often find themselves in high-demand roles such as Data Analyst, Business Intelligence Consultant, and Analytics Manager. With a strong foundation in analytics, graduates are well-prepared to tackle complex business challenges and drive strategic decision-making.

Here’s what you can expect in terms of progression and future opportunities:

- University Services: The Career Development Center offers personalized career coaching, resume workshops, and networking events specifically tailored for business analytics students. Additionally, the university hosts job fairs that connect students directly with industry leaders.

- Employment Stats and Salary Figures: According to recent data, over 90% of graduates from the MS in Business Analytics program secure employment within six months of graduation, with starting salaries averaging around $80,000 annually.

- University–Industry Partnerships: The University of Tennessee has established partnerships with leading companies such as Deloitte, IBM, and FedEx, providing students with internship opportunities and real-world projects that enhance their learning experience.

- Long-term Accreditation Value: The program is accredited by the Association to Advance Collegiate Schools of Business (AACSB), ensuring that the education you receive meets the highest standards of quality and relevance in the business field.

- Graduation Outcomes: Graduates have successfully transitioned into roles across various sectors, including finance, healthcare, and technology, demonstrating the versatility and applicability of their skills.

Further Academic Progression: After completing the Business Analytics and Artificial Intelligence Major, MS, you may choose to further your studies by pursuing a Ph.D. in Business Administration or a related field. This path can lead to academic positions or advanced research roles, allowing you to contribute to the evolving landscape of business analytics and data science. Additionally, you might consider obtaining professional certifications such as Certified Analytics Professional (CAP) or pursuing specialized training in emerging technologies like machine learning or artificial intelligence to enhance your expertise and career prospects.

The University of Tennessee is committed to your success, and the Business Analytics and Artificial Intelligence Major, MS program is a fantastic stepping stone toward a rewarding career in this dynamic field.