OMSBA

The 100% online MS in Business Analytics (OMSBA) is designed to provide students with the background and technical knowledge to read data, recognize patterns, predict outcomes, and tell the story of numbers. Graduates will have the necessary experience to analyze and interpret complex micro- and macro-data, allowing business leaders to make data-driven strategic, informed decisions for their organizations.

Our Online MSBA program prepares students for the market challenges of tomorrow. With an online business analytics degree, you open doors for yourself for years to come.

What’s different about our online MSBA? We are:

    • Asynchronous

    • STEM-Certified *

    • AACSB-Accredited

*For international students – Online programs do not qualify you for OPT. You must be a student on campus to qualify for OPT and STEM OPT benefits, respectively.

Our students come from various fields and industries. While previous experience and a general business background or understanding can be beneficial, incoming students do not need previous data or programming experience to begin this degree. — Here, you will acquire all the essential elements for achieving success, encompassing programming expertise in Python and R, as well as honing analytical modeling skills like predictive modeling, machine learning, and deep learning. With these analytical and programming skills, you will be better prepared for a career in data science.

UofL’s College of Business is ranked as one of the top business schools by U.S. News & World Report, Poets & Quants, and Princeton Review for providing the best graduate programs.

Apply now Course Catalogue

NEW – Part-Time Online MSBA

The University of Louisville College of Business is excited to announce the launch of its new Part-Time Online MS in Business Analytics (OMSBA) program.

Designed to fit the schedules of busy professionals, this program spans three calendar years and is completed in just 20 months.

Program Overview:

  • Start: Every August Duration: 20 consecutive months – 5 semesters.
  • Credits: 30 credit hours Format: 100% online, asynchronous, cohort-based Course
  • Flexibility: One class at a time every 5 weeks, except for electives (2 courses at a time every 5 weeks).

The Part-Time OMSBA program equips students with the technical knowledge to read data, recognize patterns, predict outcomes, and tell the story behind the numbers. Graduates will be proficient in analyzing and interpreting complex micro- and macro-data, enabling business leaders to make data-driven strategic decisions for their organizations.

  • Why Choose Our Part-Time Online MSBA?
  • Cost-Effective: At $34,500, the extended format allows professionals to maximize available tuition reimbursement benefits over three calendar years
  • Flexible Learning: Asynchronous courses offer flexibility for busy professionals
  • Accreditation: STEM-certified and AACSB-accredited
  • Collaborative Environment: Cohort-based learning promotes networking and collaboration. Some electives may be taken in-person
  • No Prior Experience Required: No previous data or programming experience is necessary. The program covers essential programming in Python and R, and analytical modeling skills like predictive modeling, machine learning, deep learning, and large language model

No GMAT Required.

This program is ideal for professionals looking to pivot careers or enhance their skills in data visualization and articulation. Our graduates will be ready for the future of data analytics, with a strong emphasis on business applications.

Program Highlights

  • GMAT/GRE optional – Waivers currently available for all applicants.
  • No previous experience needed: Students can complete a free statistics course over the summer to help prepare for advanced analytical classes.
  • Fast-track to success: Choose from our excellereated one-year program or the part-time 20-month to earn your degree at a pace that works for you.
  • Corporate Partners: C-suite executives from companies like Yum! Brands, Humana, GE Appliances, UPS, Papa Johns, Mercer, Appriss, and more make up our board and inform us on the skills and background they look for in graduates from our program.
  • Small cohorts: Learn and grow alongside like-minded individuals in a small class format. Our typical section would be 25-30 students.
  • Job security: Data analyst jobs are projected to grow significantly in the next decade (bls.gov).

Outcomes & Opportunities

According to the U.S. Bureau of Labor Statistics, data analysis positions are expected to grow significantly over the next decade. The median annual salary for data scientists is over $120,000 (builtin.com), with those in the ninetieth percentile earning more than $345,000 annually.*

The job security benefits don’t end there. This program is advised by and works collaboratively with a board of C-suite executives from companies including Humana, Papa Johns, Appriss technologies, GE appliances, YUM! Brands, Bright Springs, Mercer, and more, all of whom provide expert insight and feedback for knowledge, skills, methods, and tools that best prepare graduates of our program for the real world.

Graduates of our program will learn a variety of skills including:

  • Advanced Analytics Skills: The program provides knowledge in areas such as predictive modeling, machine learning and artificial intelligence, data cleaning, transformation, and modeling. Graduates will be proficient in statistical software such as R, Python, and Tableau, and be able to apply these techniques to solve complex business problems.
  • Business Strategy: Graduates will have a strong understanding of business strategy and be able to use data-driven insights to inform strategic decision-making.
  • Data Management: Students will become proficient in managing and manipulating large and complex data sets, and have a solid understanding of database management, data warehousing, and data integration.
  • Communication and Visualization: Course materials will help develop excellent communication and visualization skills, so MSBA graduates are able to present complex data and insights to both technical and non-technical audiences in a clear and compelling manner.

What kind of jobs can I pursue?

A student with a business analytics degree is prepared for a variety of data analyst career paths and positions, including: statistician, business and market research analyst, data scientist, data science training, technical business analyst, and more.

*Salary range can vary greatly based on location and previous work experience.

Salary Infographic

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College of Business
University of Louisville
Louisville, KY 40292

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