MBA - Data Analytics Specialization
The Master of Business Administration program with a specialization in Data Analytics is designed for practicing professionals who possess a bachelor's degree in business or technology or possess an advanced degree in another area of specialization. Students participating in this program desire additional study in order to expand and enhance their ability to contribute to their career path, company, and society. This program allows students to be engaged in working in a paid or non-paid position, (provided this employment is appropriate for a training opportunity, considering the goals and requirements of the degree program), which may include current employment in a full- or part-time professional position, participation in job shadowing, or participation in an internship. Additionally, the program provides a foundation for future employment to extend the academic experience with practical training as noted above.
Students in this program of study will design solutions and strategies for complex business problems and opportunities, and integrate critical analysis with disciplines such as management, statistics, finance, and economics. In addition, personal management capabilities will be evaluated, and a plan for growth will be designed. Students will synthesize ethical standards in decision-making and strategy development, create appropriate communication strategies to achieve organizational goals, and integrate a biblical framework that guides interactions within the business environment and workplace. Key concepts and applications related to data sources, data visualization, big data, data and text mining, and data preparation and reporting will be addressed.
Upon completion of the program, students will be able to:
- Design solutions and strategies for complex business problems and opportunities.
- Evaluate personal leadership capabilities and design a plan for self-improvement and continual growth.
- Integrate critical analysis with business administration disciplines such as management, accounting, finance, and economics to ensure mission success.
- Synthesize ethical standards in decision-making and strategy development.
- Create appropriate communication strategies to achieve organization goals.
- Integrate a biblical framework that guides interactions within the business.
- Apply theoretical and practical knowledge to plan, organize, analyze and report data results to support business decision making.
Admission Requirements
- A baccalaureate or graduate degree from a college or university that is accredited by an accrediting agency recognized by both the U.S. Department of Education (ED) and the Council for Higher Education Accreditation (CHEA) verified on official transcripts sent by the institution directly to Indiana Wesleyan University.
- An undergraduate grade point average (GPA) of 2.5 or higher from the baccalaureate degree granting institution at which at least a minimum of 30 hours was completed. If an applicant's GPA is below 2.5, the student may be admitted on a probationary basis, as established by the guidelines of the DeVoe School of Business, Technology, & Leadership.
Graduation Requirements
To graduate, students must have completed all of the following:
- All credits required in the curriculum sequence with a minimum GPA of 3.0 and a minimum grade of “C” in each course. A grade of "C-" or below will require the course to be repeated.
- Overall GPA of 3.0 in all IWU graduate work.
- Payment of all tuition and fees is required to receive a diploma.
MBA - Data Analytics - Program of Study
Core Courses
| MGMT-501 | Foundations of Graduate Business | 3 |
| MGMT-512 | Ethical and Legal Aspects of Management | 3 |
| COMM-515 | Decision-Making and Essential Business Communication | 3 |
| ACCT-510 | Managerial Accounting | 3 |
| FINC-510 | Financial Reporting and Analysis | 3 |
| ECON-510 | Economic Analysis for Managers | 3 |
| MKTG-530 | Marketing Management | 3 |
| STAT-535 | Statistics for Business Decision-Making | 3 |
| Total Credit Hours: | 24 |
Data Analytics Specialization Courses
