MSDADPE · Current · 33 CUs
Master of Science, Data Analytics - Decision Process Engineering
Source: WGU Program Guide·v202408·5/15/24
About This Degree
WGU Catalog 2026-03The MS Data Analytics degree prepares a diverse range of professionals for thriving careers in the dynamic field of data analytics. By arming graduates with the competencies needed to tackle business challenges through data mining, predictive analysis, analytics deployment, and compelling data storytelling techniques, the MSDA ensures they are well-prepared for success. Emphasizing both theory and practical application, the curriculum fosters the development of skills necessary to drive impactful change within organizations spanning various industries and sectors. The Decision Process Engineering concentration builds upon fundamental knowledge in the data analytics lifecycle, focusing on implementing successful business change. This concentration offers courses in project management, process engineering, and decision intelligence. The program includes a concentration- specific capstone, providing an opportunity for students to showcase their skills in a comprehensive manner.
Official catalog text — WGU-authored.
Degree History
First offered2024-06StatusCurrentCUs33
Program Learning Outcomes
WGU Catalog 2026-03Official WGU-authored outcomes from the catalog Program Outcomes section.
- •The graduate will develop proficiency in applying the data analytics life cycle, including data mining, statistical analysis, and predictive modeling, to solve complex business problems. They will be capable of leveraging both supervised and unsupervised machine learning techniques to extract insights from data and drive decision- making.
- •The graduate will gain expertise in analyzing, visualizing, and improving business processes. They will be able to design and implement process engineering methodologies to enhance organizational efficiency and address specific business needs, using tools and frameworks commonly applied in business process reengineering.
- •The graduate will be equipped with project management skills necessary for planning, executing, and managing analytics projects. They will understand the core concepts of the Project Management Institute framework and be able to apply project management tools and techniques across the project life cycle, ensuring successful project delivery in data-driven initiatives.
Areas of Study
3 groups · 11 coursesCourse groups from the WGU Program Guide. Expand each group to see course descriptions and competencies.
Course Roster (11 courses)
WGU Catalog 2026-03Term 2
Total: 33 CUs across 11 courses. Degree total per catalog: 33 CUs.