The Master of Science degree in Business Data Science and Analytics addresses the study, research, and application of analytics. Its focus is on business analytics, the use of data in various forms and often large sets to make optimal business decisions. This multidisciplinary program prepares analytics professionals for careers based in data information, collection, and analysis in many types of organizations and has broad appeal to a wide variety of academic and professional audiences.
In addition to meeting the requirements of the university, The Eli Broad College of Business and Graduate School of Management, students must meet the requirements specified below.
Admission
To be admitted to the Master of Science degree in Business Data Science and Analytics, an applicant must have:
- a bachelor’s degree from a recognized educational institution.
- an academic record equivalent to at least 3.00 (B) in undergraduate course work.
- completed, with a grade of 3.0 or higher, college-level courses in calculus and statistics.
- experience in programming languages, such as Python, Java, HTML, C and C++, and statistical software tools.
- strong scores on the GMAT (Graduate Management Admissions Test) or GRE (Graduate Record Examination) or extensive work experience.
- working knowledge of personal computers including word processing, spreadsheets, networking, and database management systems.
Admission to the program is selective and meeting the minimum standards does not guarantee admission. The applicant’s overall record is considered, including the student’s statement of objectives, recommendations, academic transcripts, and other documentation as required.
Requirements for the Master of Science Degree in Business Data Science and Analytics
The Master of Science degree in Business Data Science and Analytics is available only under Plan B (non-thesis). A total of 30 credits are required for the degree.
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| 1. |
Students must complete 30 credits from the following courses: |
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ACC |
822 |
Information Systems Project Management |
1 |
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CSE |
801A |
Introduction to Big Data Analysis |
3 |
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CSE |
801B |
Introduction to Data Mining |
3 |
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CSE |
891 |
Selected Topics |
1 |
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ITM |
818 |
Data Management and Visualization in Analytics |
3 |
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ITM |
843 |
Career Management |
1 |
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ITM |
881 |
Network Analytics |
3 |
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ITM |
883 |
Business Analytics Problem Solving |
2 |
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ITM |
885 |
Machine Learning and Optimization in Analytics |
3 |
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ITM |
886 |
Communication Strategies for Analytics |
1 |
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ITM |
887 |
Analytics Proseminar |
1 |
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ITM |
888 |
Capstone: Business Analytics |
1 |
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ITM |
893 |
Business Analytics Internship |
1 |
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MKT |
829 |
Digital Marketing |
3 |
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STT |
805 |
Statistical Modeling for Business Analytics |
3 |
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Other courses may be used to fulfill this requirement with approval of the program director. Information Technology Management 818, 888, and 893 are experiential analytics project courses which engage students in analytics project work in partnership with corporate and/or non-profit organizations. |
| 2. |
Completion of a final oral examination or evaluation. |
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