Tepper School of Business – Carnegie Mellon University - Part-Time MS in Business Analytics

Carnegie Mellon Part-Time MS in Business Analytics Program Structure

The Carnegie Mellon Tepper Part-Time MS in Business Analytics is geared to individuals with technical backgrounds who want to deepen their analytical skills and move into senior business analyst positions. The online MSBA is a predominantly online, instructor-led degree program with synchronous weekly live discussion sessions. It includes three on-campus experiences.

Curriculum

The online MSBA can be completed in 20 months and provides students with leading-edge knowledge, skills and experiential learning in these areas:
-Methodology including machine learning and optimization
-Software Engineering including large-scale data management and programming in R and Python
-Corporate Communication including communicating with non-technical stakeholders
-Business Domain Knowledge including marketing, operations, accounting, finance and people analytics

Carnegie Mellon Tepper Part-Time MSBA Class Profile

This program has 50 current students with an average age of 31 years old.  The Program has more male students compared to the number of female students (68%/32%) and the average work experience is 7.6 years.  The average undergraduate GPA of current students is 3.49.

Tuition and Financial Aid

This program has a tuition cost of $69,412.  The school lists their total cost of attendance (including living expenses & fees) to be $72,127.  Financial Aid is available and financing opportunities for U.S. & permanent residents are available here.

Admissions

The following must be included in the Carnegie Mellon Tepper Part-Time MSBA application:

• An online application form
• Current resume
• One written essay and one video essay
• Two professional recommendations
• Unofficial transcripts of all academic work
• Official GMAT score or GRE (*test waivers also available)
• Official TOEFL, IELTS or Duolingo test score (if applicable)
• $125 Application fee

* Waivers will be evaluated based on mathematical preparedness demonstrated through advanced quantitative classes in undergraduate or graduate work. These classes include, but are not limited to, calculus, linear algebra, and statistics.  Previous degrees (undergraduate or graduate) in a related discipline such as STEM degrees (science, technology, engineering, statistics, or mathematics) or business degrees with strong quantitative focus. A waiver decision by the admission committee does not signal an admission decision. The admission decision will be based on a holistic review of the application.

Application deadlines are as follows: