Set yourself up for success as a leader who knows how to transform data into impactful business solutions. The Master of Business Analytics (MBAn) curriculum reflects a strategic balance of data analytics and business fundamentals, and includes cross-functional electives in specialty areas like fintech and biotech.
Overview of Program Schedule
|Data-Oriented Courses||Business-Oriented Courses|
|Summer||Introduction to Data Programming||Analytics Skill Preparation, professional
development and cohort building
|Advanced Spreadsheets||Business Immersion|
|Software Teams and Project Management|
|Fall||Probability and Statistics||Managerial and Financial Accounting|
|Predictive Analytics||Decision Strategies|
|Data Exploration and Visualization|
|Data Architecture and Acquisition|
|Causal Inference through Experimentation|
|Winter||Prescriptive Analytics||Information Security, Privacy and Ethics|
|Depth Electives||Business Analytics Consulting Studio|
Jump into Fall Term with core courses like Predictive Analytics and Managerial and Financial Accounting, designed to provide you with the technical expertise you'll need to excel in a business analytics role. Make connections with potential employers during corporate networking, recruiting events, and other industry events held annually at Michigan Ross.
Round out your requirements and apply what you've learned in our immersive Business Analytics Consulting Studio course. During the course, you'll work in teams to find creative solutions to a pressing business analytics challenge at a real organization, and go onsite to conduct research and present your final recommendation to leadership.
The analytics process seeks to turn large amounts of data into actionable insights, predictions, and recommendations. This course will focus on using optimization modeling techniques to make decisions for different applications of business analytics. This course will focus on the theory and practice of the core optimization methodologies such as linear programming, integer programming, non-linear programming, heuristic models, and simulations. Example applications will be drawn from an array of business functions.
Information Security, Privacy and Ethics
Information security is essential to the business analytics process. This course will introduce students to the ethical and legal issues surrounding business analytics such as consent, anonymity, privacy, data integrity, access and exclusion, algorithmic bias, and relevant regulatory considerations regarding information security and privacy. The course will introduce fundamental concepts of network security, cyber security, potential threats/malware, and policies/practices to manage security threats; and discuss relevant technical aspects of information security such as authentication approaches, data encryption, digital signature, and public key.
In your final term, apply the business analytics concepts you've learned throughout your coursework to an action-based learning project with a real sponsor company. You and your classmates will work in teams to devise creative solutions to a pressing corporate challenge, and present your recommendations to company executives.
Learn how to lead effectively through a high-pressure, high-stakes environment as part of this simulated business crisis.
Unlock your personal capabilities and learn how to increase your influence as part of two transformative Legacy Lab workshops.
Develop executive-level presence and impactful communication skills through storytelling workshops and events hosted by Story Lab.