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
Avg. GPA: 3.51
Avg. GRE Verbal: 157
Avg. GRE Quantitative: 160
International %: 23%
Analytics Insight Magazine
2016 The Financial Engineering Times
Predictive Analytics Today
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 identify the data relevant to the problem at hand and an understanding of 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 6 to 15 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.
Business Analytics is no longer an emerging field. It is a necessary component in almost every organization and across many job functions. Professionals perform analyses to produce dashboards, data visualizations, predictive models and more. Nearly 100 percent of Haslam’s MSBA students accept job offers within six months of graduation in a wide range of roles and industries.
The Haslam College of Business has an extensive Career Services center dedicated to helping our students find employment after graduation. In addition, all Haslam MSBA alumni have access to the University of Tennessee career management resources HIRE-A-VOL and careershift.
MSBA students receive one-on-one coaching and support during the internship search process. Many students have summer internship offers before the end of the first semester. Some of the ways we help facilitate internships include:
Haslam’s MSBA program provides ample exposure to employers through the Business Analytics Forum, which gathers dozens of the nation’s top analytics companies annually 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:
Business Analytics 533 (3 credits) Probability and Statistics for BA
Introduction to the application of probability and statistics models in Business Analytics. Extensive use of statistical programming languages.
Business Analytics 535 (3 credits) Statistical Methods for Business Analytics
Data collection strategies including simple design of experiments. Structured querying language. Descriptive statistics. Estimation and hypothesis testing. Importance of assumptions. Quantile plots and goodness of fit. Prediction intervals. ANOVA, linear regression, chi-square tests for categorical data, logistic regression. Use of statistical and database software.
Software utilized in summer semester courses:
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.
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 536 (1.5 credits) Case Studies in Business Analytics
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 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.
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.
Software utilized in fall semester courses:
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.
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
Electives (choose 10.5 hours). Options are:
Customer Analytics/ Applied Statistics Electives
Supply Chain Analytics Electives
Data Science Electives
Degree Requirements Summary
MSBA requires 36 credits, so 6 + 15 + 15 = 36
MSBA courses are not available to non-Haslam College of Business (HCB) students. Non-HCB students interested in graduate analytics courses should enroll in a course in the IGSDSP (500-level STAT) or PhD (600-level) curricula, or in non-degree Business Analytics programs.
MSBA courses may be available, on a very limited basis, to highly qualified HCB graduate students (e.g. PhD students) if space is available. These students are first encouraged to find IGSDSP or PhD courses that match their interests.
All undergraduate degrees 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.
We require 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 required of all applicants; however, due to COVID-19, we will consider exam waiver requests on a case-by-case basis. To request an exam waiver, email Tom Bates with a copy of your academic history and your resume.
We do not have 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.
An applicant requesting admission to the Graduate School may be required to submit results of the TOEFL (Test of English as a Foreign Language) or the International English Language Testing System (IELTS). Minimum score requirements for admission to the Graduate School are:
Test scores are valid for two years. Please refer to the Graduate School's website for more details.
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:
***Applications submitted by February 1st will receive priority consideration for merit-based fellowships and assistantships.
Estimated Program Cost (for students entering Fall 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.