The Haslam Master of Science in Business Analytics teaches students how to use the power of data to drive business outcomes.
Students develop not only the technical acumen to derive insight from large data sets, but also the business fundamentals and soft skills to make a difference in the organizations they serve.
Nearly 100% of our graduates find jobs within six months of graduation, and their median annual salary is over $80,000. The industry’s top professional association recognized our curriculum as exceptional with UPS George D. Smith Prize in 2018, and our students network with top analytics professionals every year during our Business Analytics Forum.
Haslam’s MSBA program combines top technical expertise with practical experience so our graduates can help transform organizations through data on day one.
Duration: 10 months
Location: Knoxville, Tennessee
Start Date: July 2022
International students may qualify for a 36-month Optional Practical Training (OPT) extension upon graduation.
The Annual Business Analytics Forum provides the opportunity to network directly with professionals and companies interested in hiring top MSBA students and our Capstone class gives students experience applying analytical tools to drive real business outcomes.
Through the program, students learn innovative data applications. Developing skills in R, SQL and Python enables them to perform a variety of data analysis functions. They will also have opportunities to learn from their classmates through professional case studies, presentations and a capstone project, while simultaneously practicing their business communication techniques.
Class Size: 35
Avg. GPA: 3.51
Avg. GRE Verbal: 157
Avg. GRE Quantitative: 160
International % : 23%
What You’ll Learn
The Master of Science in Business Analytics program develops a student’s technical acumen in deriving insights from large data sets as well as business fundamentals and soft skills like leadership, teamwork and presentations. Our students graduate with both the ability to communicate the data relevant to the problem at hand and how it can be leveraged to benefit the organization.
In their final semester, MSBA students work in teams using real data to solve a real problem for one of our industry partners in their capstone project. They communicate with company executives throughout the project, presenting their findings at the end of the semester.
The Haslam MSBA is comprised of three semesters requiring 12 to 18 hours each. For a full description of the content in required courses see the graduate course catalog.
Students can also pursue a dual degree, gaining an MSBA and MBA in two years.Dual Curriculum
Learn More about the MS Business Analytics Program
Business Analytics is no longer an emerging field. It is a necessary function in almost every organization and across many job functions. Professionals perform analyses to produce dashboards, data visualizations, predictive models and more. Nearly 100% of Haslam’s MSBA students accept job offers within six months of graduation in a wide range of job functions and industries.
- Consumer insights
- Supply chain
- Analytics professional
- Internal consultant
Haslam’s MSBA program provides ample exposure to employers through the Business Analytics Forum, which gathers dozens of the nation’s top analytics companies annual to discuss emerging technologies and best practices in the field.
In the final semester at Haslam, students participate in a team-based capstone project working with a business client on an existing problem. They gain hands-on experience with real-world data, which can have lots of grey areas and can be very messy. The project culminates with a formal presentation to the client. Other benefits include:
- Gaining exposure to different corporate cultures
- Learning and practicing soft business skills
- Learning important management and leadership lessons
Total hours: 36
Business Analytics 533 (3 credits) Quantitative Methods for BA
Introduction to the application of probability and statistics models in Business Analytics. Extensive use of statistical programming languages.
Business Analytics 537 (1.5 credits) Data Security and Ethics
An introduction to data security issues and the ethical use of analytics and data in business applications
Business Analytics 530 (1.5 credits) Business Skills Development
Designed to build skills that MSBAs need to successfully apply knowledge in the business world. Business communications and career development.
Software utilized in summer semester courses:
- 533: R, Tableau
Business Analytics 531 (3 credits) Decision Optimization
Linear programming decision models, solutions, sensitivity analysis, linear and integer optimization models, transportation and selected network flow models, along with application issues of these models, introduction to a mathematical programming language and standard optimization software.
Business Analytics 535 (3 credits) Statistical Methods for Business
Presents data from real-world consulting engagements to give students practical experience solving problems. Topics include translating data to information, formulating models, and communicating results to diverse constituencies. The course demonstrates the importance of developing solutions that address people, process, and technology.
Business Analytics 542 (3 cr) Data Mining Methods for Business Applications
Understanding and application of data mining methods. Data preparation; exploratory data analysis and visualization; cluster analysis; logistic regression; decision trees; neural networks; association rules; model assessment; and other topics. Applications to business problems. Use of standard computer packages.
Business Analytics 545 (3 credits) Data Engineering for Business Applications
Fundamentals of data engineering pipelines with particular focus on extracting, transforming, combining, validating and loading data for further analysis and visualization. Topics include, but are not limited to, navigating the Linux operating system, version control and collaboration, SQL and NoSQL databases, distributed computing, and high-level programming.
Business Analytics 536 (1.5 credits) Case Studies in Business Analytics
Software utilized in fall semester courses:
- 531: Solver in Excel, AMPL, CPLEX, Gurobi, very limited R & Python
- 535: JMP Pro, MySQL, Tableau
- 536: Some combination of Excel, Python, R, and Tableau
- 542: R, Python
- 545: Linux, PostgreSQL, MongoDB, Apache Spark, Python
Business Analytics 540 (3 credits) Applied Regression Analysis for Business
Matrix approach to multiple linear regression. Normal equations, interaction and confounding, use of dummy variables, model selection. Leverage, influence and collinearity. Autocorrelated errors. Logistic regression, maximum likelihood estimation, analysis of deviance, retrospective studies. Tree based models for discrete and continuous outcomes. Robust regression, and weighted least squares. Applications involving predictive modeling for credit risk and customer acquisition. Case studies from accounting, finance, and marketing.
Software utilized in winter semester courses:
- 540: R and/or JMP
1 required course + electives + capstone
Business Analytics 550 (3 credits) Business Analytics Experience
Application of the principles of analytics through a team-based, experiential project. Students work on a real-world business problem through the stages of problem identification, data acquisition & preparation, analysis, determination of recommendations, and presentation of findings.
Electives (choose 10.5 hours). Options are:
Customer Analytics/ Applied Statistics Electives
- Multivariate and Data Mining Techniques (with text mining) (BZAN 552) 3 credits
- Design of Experiments (BZAN 553) 3 credits
- Deep Learning for Business Applications (BZAN 554) 3 credits
- Text Mining (BZAN 557) 3 credits
- Categorical Data Analysis (STAT 578) 3 credits
- Simulation Modeling (uses Monte Carlo) (BZAN 546) 1.5 credits
- Time Series Forecasting (BZAN 548) 1.5 credits
- Reinforcement Learning (BZAN 538) 1.5 credits
Supply Chain Analytics Electives
- Supply Chain Planning and Analysis (SCM 547) 3 credits
- Topics in the Geography of Transportation (GEOG 549) 3 credits
- Systems Optimization (BZAN 556) 3 credits
- Supply Chain Analytics (BZAN 555) 3 credits
- Simulation Modeling (uses discrete event) (BZAN 546) 1.5 credits
Data Science Electives
- Introduction to Programming for Scientists and Engineers 3 credits
- (Languages such as C++ and Python) (COSC 505) 3 credits
- Fundamentals of Digital Archeology (COSC 545) 3 credits
- Databases/Scripting Languages (COSC 565) 3 credits
Degree Requirements Summary
MSBA requires 36 credits.
Applications for the MSBA are submitted through the University of Tennessee’s Graduate School; however, Haslam has application requirements specific to the MSBA.
Application Quick Links
All undergraduate degrees are accepted, but the most successful students have a strong technical aptitude and have taken quantitative courses such as math, statistics, engineering, computer science and calculus. Due to the lock-step nature of our program, transfer credits are not accepted.
The program requires a brief (30 minute) interview and can accommodate both in-person and virtual interviews.
Applicants with undergraduate GPAs below 3.0 are not typically considered. Our average GPA varies with each incoming class, but hovers around 3.4 on a 4.0 scale.
GRE/GMAT scores are considered on a case–by–case basis.
The program has a minimum score requirement for the GRE or GMAT; however, students best-suited for our program typically perform well above-average on the quantitative portion.
Applicants whose native language is not English must score at least 600 or 100 IBT for the TOEFL or 7.5 for the IELTS. Test scores are valid for two years. Please refer to the Graduate School’s website for more details.
In the application, please enter the name and email address of your recommender. When you submit the application, they will receive an email with the recommendation to complete. The admissions committee prefers to see one academic (faculty) and one professional (current/previous supervisor) recommendation.
Admission opens in September and applications are accepted on a rolling basis until the class is full.
International applicants must meet the Graduate School’s deadlines as follows:
- December 15: International student application deadline
- June 1: Final deadline
***Applications submitted by February 1st will receive priority consideration for merit-based fellowships and assistantships.
Tuition & Financial Aid
Estimated Program Cost (for students entering Summer 2022)
You can find an up-to-date schedule of tuition and fees for in and out-of-state students on One Stop Student Services’ website. The tuition and fees listed do not include room, board, books and supplies or other living expenses.
Learn about federal student loans and other need-based financial aid for graduate students at the financial aid for graduate students at One Stop Student Services. Complete the FAFSA (Free Application for Federal Student Aid) by February 15.
Out-of-state candidates in the Southeast region may be eligible to obtain in-state tuition rates through the Academic Common Market. Students using Post-911 GI Benefits are particularly likely to benefit.