Nov 16, 2024  
Graduate Catalog | 2024-2025 
    
Graduate Catalog | 2024-2025

Data Science and Business Analytics, M.S.


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The M.S. 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 a college or university accredited by an accepted accrediting body in any scientific, engineering, or business discipline or a closely related field is required. Official GRE or GMAT scores are required for all applicants without an earned baccalaureate degree or higher from an accredited U.S. college or university.  Applicants who do not meet a minimum undergraduate GPA of 3.0 (4.0 scale) require GRE or GMAT scores.

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 one semester 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.

GRE/GMAT Waiver

The GRE/GMAT requirement may be waived for applicants who meet one of the following:

  • Earned a degree from an accredited U.S. college or university with a cumulative undergraduate GPA of 3.0 and above
  • Hold a terminal degree (e.g., J.D., M.D., or Ph.D.)
  • Have successfully completed a minimum of two of the required courses in the Graduate Certificate in Data Science and Business Analytics  with a GPA of 3.5 or above, and a letter of recommendation from at least one of the DSBA course instructors

Waiver from GRE/GMAT must be requested from the DSBA Graduate Program Director when submitting the completed application.  All waivers are at the discretion of the DSBA Graduate Program Director.  Applicants satisfying one of the above criteria may be asked by the DSBA Graduate Program Director to report GRE/GMAT scores.

Early Entry Program

Exceptional undergraduate students at UNC Charlotte may apply for the Early Entry Program and begin work toward a graduate degree before completion of the baccalaureate degree.  See the Undergraduate Catalog for details and requirements.  Also see the Degree Requirements and Academic Policies  section of the Graduate Catalog for more information about Early Entry Programs.

Accelerated Master’s Program

Academically talented high school seniors and UNC Charlotte undergraduate freshmen are encouraged to apply for the Accelerated Master’s Program to begin work toward both undergraduate and graduate degrees in their Freshman year.  See the Undergraduate Catalog for details and requirements.  Also see the Degree Requirements and Academic Policies  section of the Graduate Catalog for more information about Accelerated Master’s Programs.

Degree Requirements


To earn the DSBA, M.S. degree, students are required to complete thirty-three graduate credit hours. This is broken down into 18 credit hours of core courses, 12 or 9 credit hours of electives, and a capstone requirement of either 3 credit hours for an Internship or 6 credit hours for a Master Thesis. A minimum of 21 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 at the discretion of the Graduate Program Director.  All credit hours earned in the Graduate Certificate in Data Science and Business Analytics  can be applied toward the M.S. degree with the approval of the DSBA Graduate Program Director. 

Elective Courses (9 or 12 credit hours)


At least one course must be from the list of Data Science Elective Courses and one must be from the list of Business Analytics Elective Courses. 

Capstone Requirements


Students can opt for either an Internship or a Master Thesis as their capstone experience.

Internship: Students choosing the internship option must complete 3 credit hours of internship experience.

Master Thesis: This option is tailored for students aiming for research-oriented careers or doctoral studies. Candidates are required to compile an original research thesis, acceptable to a three-member committee, including an SDS joint or affiliate graduate faculty chair. The thesis necessitates a commitment of at least two semesters. A total of 6 credit hours from DSBA 6991 - Master Thesis Research  are required, which can be spread across a minimum of two semesters (e.g., 1+5, 3+3, 2+2+2).

Capstone Courses (3 or 6 credit hours)


Three credit hours of DSBA 6400 Internship  or a total of 6 credit hours from DSBA 6991 - Master Thesis Research , spreading across a minimum of two semesters, are required.

Degree Total = 33 Credit Hours


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