Master of Science in Business Analytics

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Vision

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-shape analytical thinkers and adaptive innovators in this data-driven digital era.

Program Overview

The MSBA program is an accelerated 9-month full-time or 18-moth part-time work-compatible, 40 credit professional program. The program consists of 8 four-credit, and 4 two-credit applied project courses that students will tackle real-world business analytics project to have an opportunity to apply the concepts, principles and methods associated with business intelligence and analytics to solve real opportunities and/or complex business problems.

This 60% online and 40% in-person (on Saturdays) work compatible program allowing professionals to earn their MSBA degree while working (most onsite classes will be offered on Saturdays). Best of both worlds - quarterly on-campus sessions ensure networking opportunities while online classes give you the flexibility you need.

Educational Objectives

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.