University of Tennessee, Knoxville campus

Business

MS Business Analytics and Artificial Intelligence at University of Tennessee, Knoxville

University of Tennessee, Knoxville, United States

Programme overview

The MS in Business Analytics and Artificial Intelligence prepares students for careers applying analytics and AI methods to complex business problems. It exposes students to a broad range of decision analysis and AI techniques applied to real-world problems, and integrates technical knowledge with professional communication and teamwork skills. It is a coursework-only programme without a comprehensive exam, on the Knoxville campus.

Faculty: Haslam College of Business  |  Duration: 36 graduate credit hours  |  Study mode: full-time  |  Location: Knoxville, TN, United States

What you will study

36 graduate credit hours: 25.5 hours of core courses (Decision Optimization, Communication and Storytelling with Data, Probability Models for Customer Analytics, Statistical Methods for Business, Machine Learning for Business, Data Engineering for Business, Simulation Modeling, Business Analytics Experience, Deep Learning for Business, and Natural Language Processing and Graph Analytics for Business) and 10.5 hours of supplementary courses chosen with the advisor. A one-semester project (BZAN 550) replaces the comprehensive exam.

Career pathways

Application of analytics and AI methods to complex problems in all areas of business.

Official programme page

Application information

Entry requirements

Formal online application to the Haslam College of Business and two applicant recommendation forms. A quantitative assessment such as the GRE or GMAT is strongly encouraged. A formal interview is required. Applications are welcome from all majors; a strong quantitative background and knowledge of statistical programming are beneficial. A grade of D or below in any core course is grounds for dismissal.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Entry terms: Fall, Spring and Summer. Domestic applicants may apply up to two weeks before the start of the desired term unless the programme sets an earlier deadline.

International graduate applicants on F and J visas: Fall online submission April 15 and file completion May 15; Spring June 15 and October 1; Summer October 15 and February 15. Departmental deadlines may be earlier.

Apply through the official page: https://gradschool.utk.edu/

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