Program Overview

Accelerated MSQM: Business Analytics Program

The Accelerated MSQM: Business Analytics program is designed for working professionals, offering an efficient learning experience that minimizes disruption to work and family. The program combines self-paced course modules, real-time class meetings, and assignments, all delivered online through a user-friendly digital platform.

Program Format

• The program begins in August with asynchronous learning and includes a 2.5-day orientation in September.
• The orientation requires physical presence on Duke University's campus in Durham, North Carolina.
• After the orientation, the program moves online, with live classes once a week.
• The program consists of 9 courses in data science, quantitative analytics methods, and their applications in specialized business contexts.
• Each term has a pre-reading period for students to prepare for the upcoming term.
• Professors provide reading and/or simple assignments to complete during the pre-reading period.

Program Structure

• Term 1: Online (12 weeks)
  • Decision Models
  • Fraud Analytics
  • Programming for Data Analysis
• Optional Data Visualization Intensive in Durham, NC (2.5 days)
• Term 2: Online (12 weeks)
  • Data Analytics and Applications
  • Empirical Analysis for Business Strategy
  • Ethics and Legal Issues in Business Analytics
• Optional Leadership Intensive in Durham, NC (2.5 days)
• Term 3: Online (12 weeks)
  • Advanced Data Analytics and Applications
  • Digital Marketing
  • Financial Risk Management

Academic Calendar

• Term 1: Fall 2024
  • Classes via Asynchronous Learning Begin: August 27 - September 9, 2024
  • Orientation: September 6-8, 2024
  • Classes via Synchronous Learning: September 10 - December 2, 2024
• Term 2: Spring 2025
  • Classes via Asynchronous Learning Begin: January 7-20, 2025
  • Data Visualization Intensive: January 11-12, 2025
  • Classes via Synchronous Learning: January 21 - April 14, 2025
• Term 3: Summer 2025
  • Classes via Asynchronous Learning Begin: May 6-19, 2025
  • Leadership Intensive: May 17-18, 2025
  • Classes via Synchronous Learning: May 20 - August 11, 2025

Digital Learning

• The online platform serves as a repository for self-study materials such as pre-recorded video lectures, readings, and interactive exercises.
• The platform enables face-to-face interaction, discussion of business and analytics case elements, and debate of relevant data science topics with classmates during live classes.

Faculty

• The program is taught by a team of world-renowned faculty, scholars recognized for excellence in their academic area and their research as well as their industry expertise, with a passion for teaching.
• Professors are authorities in core business functions as well as in quantitative data analytics.

Career Development

• The program provides guidance from a career coach to leverage your degree.

Admissions Information

• Facts + Dates: Find out what's required to apply--and when.
• Application Instructions: Tell us your story--here's what we want to know.
• Admissions Events: See what it's like to be an online Fuqua student.
• Class Profile: See a snapshot of what your class might look like.
• Tuition + Costs: Determine your investment.
• Financing Your Degree: Learn how to fund the program.

Quick Facts

• Start Date: August 2025
• Duration: 12 months
• Location: Online
• Style: Self-paced with live class component
• Curriculum: Business analytics

Testimonial

"The Duke MQM and MSQM programs develop data analysts with broad business perspective, strong technical expertise, and a deep command of business communication. These are the kind of candidates that P&G and many other Fortune 100 companies seek out. The candidates' skill set applies to a wide range of functions and enables them to contribute at all levels within an organization." — David Taylor, Former Executive Chairman, P &G

Faculty Quote

“The landscape has changed. The abundance of data and its applicability to an organization’s needs, and the advancement of communication and computational powers, have changed what data analytics can do for you. Here is a great opportunity to enhance your managerial toolkit to include what we believe are the skills that will be required of every successful modern manager.”

Saša Pekeč, Professor of Decision Sciences