Analytics with a business perspective

Preparing you for data-based decision making and managerial leadership of data analytics projects in your organization, the MSQM: Business Analytics curriculum blends business management education with training in quantitative analytics.

Fuqua is widely recognized as a top business school with outstanding academic courses, and our faculty are among the world’s top business management and data science researchers. We pioneered blending face-to-face and distance learning, and have long been the global leader in distance education for working professionals. Our difference comes from our deep expertise at the intersection of business and analytics and our long experience in educating managers using innovative learning models. Therefore, you can be confident that both the caliber of your online education and the smoothness of the delivery of the MSQM: Business Analytics program will be unsurpassed.

Course Overview

Your curriculum includes a mix of courses in core business functions and data science and quantitative methods. While the course topics may evolve over time, and when they are offered may shift between calendar years, the MSQM: Business Analytics structure is likely to follow this format:

The program launches with a 2.5 day residency in Durham, NC.

Programming for Analysis and Visualization

Applied Probability and Statistics

Managerial Economics

Business Fundamentals: Accounting and Finance

Business Fundamentals: Marketing and Strategy

Data Analytics and Applications

An optional 2.5 day Working Professionals Leadership Intensive is offered in Durham, NC, after Term 2.

Advanced Data Analytics and Applications

Operations Management

Navigating Organizations

Empirical Analysis for Business Strategy

Digital Marketing

Decision Models

Financial Risk Management

Fraud Analytics

Ethics and Legal Issues in Business Analytics

Business Communications

Teaching Methods

Your faculty will bring online courses to life through lectures, class discussions, and case-based learning. Professors use actual data science and business problems, leverage interdisciplinary perspectives, and help you understand the "Data to Decision" cycle. The case-based learning method uses real-world business analytics cases as the basis for discussions and team projects. This approach challenges you to see business problems from a corporation's perspective and to take what you learn in class to develop quantitatively-supported recommendations. Because so much of your online learning happens through debate and analysis, you’re expected to be an active participant in class discussions. As a result, you’ll learn to think as a data scientist does--practically, critically, and creatively--preparing you to tackle business problems from multiple perspectives.

Honor Code

Fuqua is serious about ethical leadership and we create a climate of integrity. All members of our community are governed by Fuqua's Honor Code. By electing to join our community, in turn, you will be expected to abide by our standards of honesty and integrity.

MSQM: Business Analytics Round 4 Deadline

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Master of Science in Quantitative Management

Admissions Information

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Financing Your Degree

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