Jun 13, 2024  
Graduate Catalog | 2016-2017 
Graduate Catalog | 2016-2017 Previous Edition

Data Science and Business Analytics, M.S.

The Professional Science Master’s (PSM) program in Data Science and Business Analytics (DSBA) is an interdisciplinary program at the intersection of business, computer and information sciences, statistics, and operations research. The program leads to an M.S. in Data Science and Business Analytics. It is a unique blend of business acumen, data understanding, exposure to a diverse set of advanced analytics methods, and hands-on experience designed to help students apply learned knowledge on representative business problems. DSBA graduates are well equipped for employment in a wide variety of data intensive industries, such as financial services, energy, retail/supply chain, or healthcare, where the need for business analysts with quantitative, computational, and sophisticated analytical skills is growing at an explosive pace.

Admission Requirements

Applicants must meet the general Graduate School requirements for admission to Master’s Degree programs.  Applications must include all of the materials listed by the Graduate School as typical for Master’s Degree application submissions.  In addition to the general requirements for admission to the Graduate School, an earned baccalaureate degree from an accredited college or university in any scientific, engineering or business discipline or a closely related field. Acceptable scores on the GRE or GMAT are also required in order to apply for the Master’s Degree.  Applicants holding a terminal degree (e.g., J.D., M.D., D.D.S., or Ph.D.) may request a waiver from this requirement. Applicants to the Data Science and Business Analytics program may also request a GMAT/GRE score waiver provided they:

  • Were accepted into the Graduate Certificate in Data Science and Business Analytics
  • Successfully complete a minimum of two of the required courses with a GPA of 3.5 or above and with no more than one grade of B
  • Secure a letter of recommendation from at least one of the instructors teaching those courses supporting their admission into the master’s program

In addition, prior to matriculation, the program requires:

  • A current working knowledge of at least one higher-level (procedural) language; and a familiarity with computer applications
  • A minimal background in mathematics is also required, including two semesters of calculus and one semester of statistics

Individuals who have worked at a high professional level in the computer industry or business may be able to substitute work experience for specific subject area admission requirements.  Individuals without a business degree or business experience are required to complete an online business fundamentals course prior to enrolling in the program.

Degree Requirements

Thirty-three graduate credit hours are required for the DSBA PSM. Of the 33 graduate credit hours, 24 credit hours are required core courses (inclusive of 3 hours for the internship), and 9 credit hours of electives. A minimum of 24 credit hours contributing to the M.S. in Data Science and Business Analytics must be from courses numbered 6000 or higher. A maximum of 6 hours of graduate credit may be transferred. Students may apply all of the credits earned in the Graduate Certificate in Data Science and Business Analytics  toward the M.S. in Data Science and Business Analytics with the approval of the DSBA Program Director. All students take the following courses:

Elective Courses (9 credit hours)

In addition, students choose 3 elective courses from a growing list of Data Science and Business Analytics courses or propose a three-course specialization for approval by the DSBA Program Director. In choosing their 3 electives courses, students must select at least one course from each of the following areas:

Student-Structured Elective Courses Option

Students may propose a three-course specialization (9 credit hours) in a significant area of interest for approval by the Director of the PSM DSBA Program.  In addition to the courses listed in the Data Science and Business Analytics specializations listed above, this specialization may include graduate courses from the M.S. in Computer Science, M.S. in Information Technology, MBA, M.S. in Mathematics with Concentration in Applied Statistics, M.S. in Mathematical Finance, M.S. in Economics, and other programs or departments within the University with approval of the related department.