2024-2025 Catalog

 

MS - Data Analytics

The Master of Science in Data Analytics program aims to develop students’ theoretical and practical knowledge, skills, and experience needed to lead, plan, organize, and manage data analytics projects for business decision making. 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. The program will cover key concepts and applications related to statistics, data sources, data visualization, big data, data and text mining, and data preparation and reporting to generate insights and predict trends. Students will integrate a biblical framework that guides interactions within the business environment.

Upon completion of the program, students will be able to:

  • Synthesize theoretical and practical knowledge, skills, and experience to lead, plan, organize, and control data analytics projects for business decision making.
  • Develop relevant strategies and solutions based on data analysis.
  • Apply ethical theories and concepts to data analytics solutions.
  • Employ appropriate data analytics strategies and methods to achieve organizational goals.
  • Integrate a biblical framework that guides interactions within the business environment.

Admission Requirements

Requirements for admission to the Master of Science with a major in Data Analytics are as follows:

  • 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.

Data Analytics (MS) - Program of Study

Core Courses

Note:  A course substitution that aligns with the program learning outcomes may be approved by the division chair. 
STAT-535Statistics for Business Decision-Making

3

DTAN-500Foundations of Data Analytics

3

DTAN-505Data Visualization

3

DTAN-510Data Sources and Systems for Analytics

3

DTAN-515Big Data

3

DTAN-520Text Mining

3

DTAN-525Data Mining Concepts

3

DTAN-530Data Preparation and Reporting

3

DTAN-535Data Analytics Consulting

3

DTAN-540Data Analytics Capstone

3

Total Credit Hours:30

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