The Master of Science in Business Analytics and Project Management (MSBAPM) is designed to meet the growing demand for professionals who can harness advanced business analytics and project management skills to address existing business problems and create new opportunities for small to global enterprises in information-rich environments. Students must complete 37 credits to fulfill all degree requirements. The program features hybrid course delivery that combines face-to-face and online sessions, and can be completed on a full-time or part-time basis. The curriculum is aligned with professional examinations leading to certification and accreditation by the SAS Institute and the Project Management Institute.
Requirements
Course List
| Course |
Title |
Credits |
| OPIM 5270 | Introduction to Project Management | 3 |
| OPIM 5272 | Data Management and Business Process Modeling | 3 |
| OPIM 5601 | Technical Communications in Business Analytics and Project Management | 1 |
| OPIM 5603 | Statistics in Business Analytics | 3 |
| OPIM 5604 | Predictive Modeling | 3 |
| OPIM 5641 | Business Decision Modeling | 3 |
| OPIM 5668 | Agile Project Management and Methodologies | 3 |
| OPIM 5671 | Data Mining and Time Series Forecasting | 3 |
| OPIM 5770 | Advanced Business Analytics and Project Management | 3 |
| 12 |
| Project Leadership and Communication | |
| Operations Management | |
| Supply Chain Analytics | |
| Strategic Sourcing | |
| Distribution and Logistics | |
| Sustainable Supply Chain Management: Strategies for Environmental and Social Responsibility | |
| Supply Chain Finance | |
| Field Study Internship | |
| Visual Analytics | |
| Big Data Analytics with Cloud Computing | |
| Adaptive Business Intelligence | |
| Analytical Consulting for Financial Services | |
| Healthcare Analytics and Research Methods | |
| Introduction to Deep Learning | |
| Web Analytics | |
| Survival Analysis with SAS | |
| Data Science using Python | |
| Special Topics | |
| |
| Total Credits | 37 |
Concentrations
If the electives that a student chooses fulfills the requirements of a concentration listed below, the student’s transcript will list the concentration in addition to the MSBAPM degree. The concentrations are optional, and students do not have to do any concentration if they choose not to. Substitutions to the courses that fulfill the requirements of the concentrations can be approved by the OPIM department head in consultation with other departments, as necessary.
Business Data Science Concentration
Course List
| Course |
Title |
Credits |
| 9 |
| Visual Analytics | |
| Big Data Analytics with Cloud Computing | |
| Adaptive Business Intelligence | |
| Introduction to Deep Learning | |
| Survival Analysis with SAS | |
| Data Science using Python | |
| Total Credits | 9 |
Marketing Analytics Concentration
Course List
| Course |
Title |
Credits |
| MKTG 5115 | Marketing Management | 3 |
| 6 |
| Big Data and Strategic Marketing | |
| Marketing Research and Intelligence | |
| Marketing and Digital Analytics | |
| Digital Marketing | |
| Web Analytics | |
| Total Credits | 9 |
Supply Chain Analytics Concentration
Course List
| Course |
Title |
Credits |
| 9 |
| Operations Management | |
| Supply Chain Analytics | |
| Strategic Sourcing | |
| Distribution and Logistics | |
| Total Credits | 9 |
Accelerated Master of Science in Business Analytics and Project Management
Prospective undergraduate UConn students must apply to the Accelerated Master of Science in Business Analytics and Project Management through the regular Graduate School admissions process during the Fall semester of their junior year. Students who meet conditional acceptance requirements, will be admitted to the Accelerated Master of Science in Business Analytics and Project Management if they also successfully complete their UConn undergraduate degree while maintaining the minimum cumulative GPA for admission to the UConn Graduate School, and receive a grade of “B” or better in both courses in one of the following sequences: OPIM 5270 Introduction to Project Management and OPIM 5603 Statistics in Business Analytics; or OPIM 5603 Statistics in Business Analytics and OPIM 5604 Predictive Modeling. Students must also fulfill the Technical Communications foundational knowledge requirement by earning a Bachelor’s degree with an Affiliated Major or Minor, or “B” or better in OPIM 5601 Technical Communications in Business Analytics and Project Management, or an engineering Senior Design course, or other relevant coursework subject to MSBAPM Director approval.
To complete the MSBAPM degree, students admitted to the Accelerated Masters are required to complete 30 credit hours, having completed seven of the required credits to attain admission to the MSBPAM program.
