Graduate Program Head | Chris Solo |
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Program Code | BAN |
Campus(es) | World Campus |
The 9 credit graduate certificate program in Business Analytics (BAN) prepares business professionals to explore and analyze large data sets to support data-driven business decisions. The program covers the entire life cycle of a data analytics project using the descriptive/prescriptive/predictive framework for business analytics:
- descriptive (What happened?),
- predictive (What will happen?) and
- prescriptive (What should happen?)
Target audiences include business analysts, analytic systems designers and the data scientists who have a focus on problems arising in the contexts of business decision-making. The certificate program builds on basic analytic concepts that professionals are expected to have and provides a practical approach to expanding these analytic skills to perform tasks in various areas of business such as marketing, supply chains, operations, forensics, and risk.
Effective Semester: Spring 2024
Expiration Semester: Spring 2029
Admission Requirements
Applicants apply for admission to the program via the Graduate School application for admission. Requirements listed here are in addition to Graduate Council policies listed under GCAC-300 Admissions Policies. International applicants may be required to satisfy an English proficiency requirement; see GCAC-305 Admission Requirements for International Students for more information.
Exceptions to GCAC-305 will be considered by the program. Exceptions may or may not be granted by the Graduate School.
Admissions Prerequisite Requirement
Prior knowledge of statistics – Applicants should have knowledge or experience in quantitative work such as science, engineering, or business. The objective is to establish a baseline knowledge and to prepare the student for the advanced coursework in this program. Applicants from other disciplines will be considered based on prior academic and professional experience. Qualified applicants should have successfully completed an undergraduate- or graduate-level course in statistics or be able to show significant experience using statistics in a professional capacity. If a foundation in statistics is absent, the program may require the completion of a fundamental STAT course prior to entry.
Additional Requirements
Along with the submission of the online application and the nonrefundable application fee, the following is required:
- Transcripts - Submit official transcripts from all post-secondary institutions attended.
- Vita or Résumé — Submit a one- to two-page listing of your professional experience.
- Statement of Intent — Describe how your professional experience and goals align with the Certificate in Business Analytics. Do not exceed 500 words.Upload to the online application.
GRE or GMAT test scores are NOT required.
Certificate Requirements
Requirements listed here are in addition to requirements listed in Graduate Council policy GCAC-212 Postbaccalaureate Credit Certificate Programs.
Code | Title | Credits |
---|---|---|
Required Courses | ||
BAN 830 | Descriptive Analytics for Business | 3 |
BAN 840 | Predictive Analytics for Business | 3 |
BAN 550 | Prescriptive Analytics for Business | 3 |
Total Credits | 9 |
Courses
Graduate courses carry numbers from 500 to 699 and 800 to 899. Advanced undergraduate courses numbered between 400 and 499 may be used to meet some graduate degree requirements when taken by graduate students. Courses below the 400 level may not. A graduate student may register for or audit these courses in order to make up deficiencies or to fill in gaps in previous education but not to meet requirements for an advanced degree.
Learning Outcomes
- Students will know how to formulate and articulate results, analysis, and strategic action plans individually and collaboratively in written, oral, or presentation form. Skills:
- Professional Skills and Problem Solving: Using relevant tools, analytic theories, and professional observations students will be able to conduct analyses that transform data into meaningful information.
- Integrative Understanding: Students will understand how to apply data and analytics to the full spectrum of business analytics practice (descriptive, predictive and prescriptive).
Contact
Campus | World Campus |
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Graduate Program Head | Chris Solo |
Program Contact | Michelle Kristen Rockower |
Program Website | View |