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Dec 13, 2024
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2021-2022 Graduate Catalog [ARCHIVED CATALOG]
Data Science in Business Concentration
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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.
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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. Accounting
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
or - PSYC 1101 - Psychology Principles
Economics
Both - ECON 2105 - Macroeconomic Principles
- ECON 2106 - Microeconomic Principles
Mathematics
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. Statistics
Students must have ECON 8710 or completed two semesters of undergraduate mathematical statistics (MATH 4751, MATH 4752). Required Courses (21 Hours)
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. |
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