Jun 14, 2024  
2021-2022 Graduate Catalog 
2021-2022 Graduate Catalog [ARCHIVED CATALOG]

Data Science in Business Concentration

Dr. Yusen Xia, Program Director

The mission of the MS in Data Science and Analytics with the Data Science in Business concentration is to educate students how to acquire, organize and model data sets in order to formulate the questions that guide decision-making in corporate and non-corporate settings. Graduates are ideal candidates for the range of technical data-driven positions in a variety of industries/businesses currently emerging such as data scientist, quantitative marketing analyst, credit risk analyst, predictive modeler, health informatics, web analytics. Please see program website for more details.

Regulations for the Degree

All Data Science in Business students will complete the Business Communication Skills Requirement explained earlier in this chapter. The regulations, policies, and procedures given in the “Master’s Enrollment” and “Master’s Programs” sections of this chapter apply to M.S. in Data Science and Analytics with a concentration in Data Science in Business program. A maximum of 6 semester hours of transfer credit is possible in this 30-hour program.

Foundation Requirements

These courses are in addition to the 30 hours required for the M.S. in Data Science and Analytics with a concentration in Data Science in Business. They are assigned as part of the admissions process based on a review of each student’s transcripts. They can be exempted if equivalent work has been previously completed with grades of C or higher, or as deemed suitable by the MSA Admission Committee.


financial and managerial accounting principles

Behavioral Science

Management principles

May Satisfy this Requirement

Students may satisfy this requirement with either

  • MGS 3400 - Management Principles
  • SOCI 1101 - Sociology Principles
  • PSYC 1101 - Psychology Principles



  • ECON 2105 - Macroeconomic Principles
  • ECON 2106 - Microeconomic Principles


Students must have completed three semesters of advanced calculus (MATH 2211, MATH 2212, and MATH 2215). Students who have only completed one semester of calculus could be conditionally admitted and get full admission after taking MSA 8005 Mathematical Foundations for Analytics.


Students must have ECON 8710 or completed two semesters of undergraduate mathematical statistics (MATH 4751, MATH 4752).

Degree Requirements

Course Requirements

Elective Courses (9 Hours)

Students will select at least two elective courses. These courses will either be in an application area of interest or the student can deepen their technical skill development. The faculty adviser must individually approve electives. Examples of possible electives include the following:

Program of Study

Any changes in the program must be approved by the faculty adviser and a copy of the changes sent to the GRSS.

Time Limit

The time limit for completing the M.S. in Data Science and Analytics program is five years from the first semester a course in section a, or b (above) is taken.