Business Analytics / Master of Science
Please see College of Business for additional policy and procedure information.
The M.S. in Business Analytics degree seeks to provide students with quantitative and data analytics skills to solve complex business problems and develop corporate strategy by exploring relationships in an organization’s “big data” and predictive decision modeling. Through hands-on experiences with the tools and technologies, the curriculum seeks to provide a student with a foundation in technology, management, marketing, finance, and analytics. The coursework is specifically designed to encompass both managerial functions and technical details in a number of areas such as:
- Quantitative methods as they apply to the problems of business management, marketing, finance, and economics.
- Design, deployment, management, and security of database systems.
- Data mining and business intelligence tools for informed decision making using scenarios from finance, CRM, operations, social media marketing, information systems, and other disciplines.
- Business decision-making techniques such as decision trees, classification, clustering, segmentation, and decision support systems.
- Procedural and substantive areas of law, regulation, and compliance requirements that impact business.
- Business requirements, feasibility analysis, and development of logical data warehouse models for business data.
- Marketing strategies creation and implementation.
- Corporate finance theory from a management perspective.
- Analysis of financial statements, mergers and acquisitions and leasing.
Program Outcomes
- Analyze and use several quantitative models for developing business decisions.
- Evaluate a business solution and build a database application that is used to store and retrieve data.
- Analyze and use several data analysis techniques for advanced business intelligence
- Attain a working knowledge of data mining tools used for business decisions.
- Develop the data architecture for the implementation and administration of the data warehouse.
- Understand and use marketing concepts to develop a data-driven marketing strategy.
- Understand the core financial concepts, including: Corporate Governance, the Capital Budgeting process, and evaluation methodologies.
- Manipulate controllable variables for a desired financial purpose.
Graduation Requirements
Upon completion of the following eight requirements, students will be awarded the MS degree:
- The degree candidacy admission standard.
- Phase I - Foundation Course requirements.
- Phase II - Core Course requirements.
- Phase III - Concentration Course requirements.
- Phase IV - Capstone Course
- A minimum 3.0 GPA.
- Satisfaction of all financial obligations to Lewis University.
- An Application for Graduation completed and submitted to the Registrar’s office before the published deadline.
Degree Offered: Master of Science
Total Credit Hours: 33-36
Degree Requirements
Program: MS-BSAN-2
I. Foundation (3)
Students who have not completed a business undergraduate degree will be required:
| BSAD-52000 | Fundamentals of the Business Enterprise | 3 |
II. Core Courses (21)
III. Concentration Courses (9)
Marketing Analytics
Concentration: MKAN
Financial Analytics
Concentration: FNAN
Healthcare Analytics
Concentration: HCAN
| BSAN-67500 | Introduction to Healthcare Informatics | 3 |
| BSAN-67600 | Healthcare Data Security, Privacy and Confidentiality | 3 |
| BSAN-67700 | Healthcare Data Analysis and Design | 3 |
Operations Analytics
Concentration: OPAN
IV. Capstone (3)