The Milgard School of Business Master of Science in Business Analytics (MSBA) program provides students with the knowledge, tools and skills to understand, manage and make use of big data and smart digital solutions. Make effective and efficient business decisions that either solve existing business problems or create new business opportunities, and improve the performance of organizations. This work-compatible program allows students to learn necessary skills and knowledge, and to become a next generation of analytics savvy business analysts, project managers, analytics managers, chief analytics officers, chief digital innovation officers, digital talents, T-shaped analytical thinkers and adaptive innovators in this data-driven digital era.
The MSBA program is an accelerated 12-month full-time, 40 credit professional program. The program consists of 8 four-credit courses, and 4 two-credit applied project courses in which students address a real-world business analytics problem or opportunity to apply the concepts, principles and methods associated with business intelligence and analytics.
This 60% online and 40% in-person work compatible program allows professionals to earn their MSBA degree while working (most onsite classes will be offered on Saturdays).
The Milgard School of Business Interdisciplinary MSBA degree integrates STEM (Science, Technology, Engineering, Mathematics) perspective into business education and analysis. It is designed to build your competency in:
BUSINESS: What are the problems and/or opportunities?
- Necessary skills for achieving organizational impact and competitive advantage with strategic thinking, service transformation, and evidence-based decision making, e.g. communication, project management, process change, optimization, business ethics, privacy, organizational culture change
DATA: What data could solve this problem?
- Core methods for acquiring, storing, handling, and representing data; and how to convert that data to information, knowledge, and wisdom for desired outcomes, data modeling and databases
ANALYTICS/ANALYZE: What models, methods or digital services can I apply to solve this problem?
- Descriptive, diagnostic, predictive, prescriptive, cognitive, visualization/storytelling, analytical, statistical, and computational techniques. Regression and related statistical methods, data and text mining, and operations research methods
OPERATIONS/PRACTICE: How to apply to our business?
- Create/amend business processes, inform decision making, understand current and future strategic, tactical, and operational performance, create new businesses, close existing ones, and enter new markets. Key insights that can be gained only through hands-on experience working with and implementing analytical projects in a business environment