The Part-Time Master of Science in Business Analytics (MSBA) program at Carnegie Mellon University is an online program designed to provide the same high-quality education as the full-time MSBA, but with added flexibility. It is ideal for individuals seeking to advance their careers in business analytics without compromising on academic rigor. The program does not require an application fee and offers a streamlined, two-phase application process to accommodate busy professionals.
TOEFL, IELTS, or Duolingo are required unless your undergraduate or graduate degree was taught exclusively in English. Waivers are not granted based on previous study in English outside of the US or in English-speaking high schools/universities outside the US. Official test scores must be sent directly from the testing agency.
Tuition and fees are for the 2026-2027 academic year. Living expenses are estimates. Health insurance costs are to be determined. International students will have the same tuition rate as domestic students for this program.
Tuition for the Part-Time Master of Science in Business Analytics (MSBA) program is USD $60,900 per academic year for the 2026-2027 academic year. International students pay the same tuition rate as domestic students for this program.
No, GMAT and GRE scores are not required for the Part-Time MSBA program as it has test-optional admissions.
The application process is divided into two phases. Phase 1 is quick, estimated at 5 minutes, and Phase 2 is estimated to take about 30 minutes to complete.
For non-native English speakers, a recommended TOEFL score is 25 in each section (iBT), an IELTS score of 7.0 overall and in each band, or a Duolingo score of 120 overall is recommended. Waivers are not granted based on study in English outside the US or in English-speaking high schools/universities outside the US.
The application deadlines for the Part-Time MSBA program run from October 14, 2025, to June 16, 2026, across five rounds.
A four-year undergraduate degree or equivalent is required. Applicants should have competency in general mathematics, basic statistical concepts, and basic programming. The admissions process is holistic.