F-MQM-MSQM - Master of Science in Quantitative Management: Business Analytics

Curriculum

The curriculum for the Fuqua MQM: Business Analytics Program involves sixteen required courses totaling at least 48 graduate credit hours and a minimum cumulative GPA of 3.0 or higher. The Finance track requires an additional course, totaling at least 51 graduate credit hours. These courses are offered over five terms (three–four courses per term). Most courses meet twice a week for 2.25 hours. Classes generally meet Monday and Thursday or Tuesday and Friday, with occasional classes falling on Wednesdays. When classes are not being held, Wednesdays are reserved for MQM: Business Analytics programming, such as Career Management Center activities, team-building sessions, and professional development seminars.

Modern analytics requires the ability to not only perform deep quantitative analysis, but also to communicate insights throughout an organization. As such, applicants with a strong quantitative background are preferred, especially from STEM fields in which quantitative tools are used in applied environments. While not required, applicants are encouraged to have some familiarity with statistics, mathematics, and computer programming. In addition, students are required to complete pre-term modules to ensure a sufficient mastery of requisite knowledge.

Courses

The MQM: Business Analytics Program consists of two types of courses. Core courses consist of technical courses, which develop the data science tools necessary to perform deep quantitative analysis, and critical thinking and communication courses, which develop the ability to present insights effectively. Track courses are focused on topics specific to one of four tracks: Finance, Forensics, Marketing, and Strategy.

Each student is admitted into a track and must complete all required track courses to graduate. In addition, students are able to select elective courses subject to availability, generally from track courses offered outside their admitted track. There are no course exemptions or course substitutions in the program.

The planned schedule, which is subject to change, for each track is as follows:

Finance

• Summer

  • Business Fundamentals (Core-531Q)

  • Data Infrastructure (Core-519Q)

  • Applied Probability & Statistics (Core-518Q)

  • Business Communications 1 (Core-507Q) 

• Fall 1

  • Introductory Finance (Track-526Q)

  • Data Science for Business (Core-520Q)

  • Critical Thinking and Collaboration (Core-542Q)

• Fall 2

  • Intermediate Finance (Track-527Q)

  • Data Visualization (Core-522Q)

  • Ethical and Legal Issues of Data Analysis (Core-545Q)

  • Derivatives (Track-528Q)

• Spring 1

  • Fixed Income Securities (Track-529Q)

  • Decision Analytics and Modeling (Core-521Q)

  • Navigating Organizations (Core-543Q)

• Spring 2

  • Financial Risk Management (Track-530Q)

  • Capstone Project (Core-532Q)

  • Business Communications 2 (508Q)

Forensics

• Summer

  • Business Fundamentals (Core-531Q)

  • Data Infrastructure (Core-519Q)

  • Applied Probability & Statistics (Core-518Q)

  • Business Communications 1 (Core-507Q)

• Fall 1

  • Financial Reporting Foundations (Track-513Q)

  • Data Science for Business (Core-520Q)

  • Critical Thinking and Collaboration (Core-542Q)

• Fall 2

  • Financial Statement Fraud (Track-514Q)

  • Data Visualization (Core-522Q)

  • Ethical and Legal Issues of Data Analysis (Core-545Q)

• Spring 1

  • Fraud Analytics (Track-523Q)

  • Decision Analytics and Modeling (Core-521Q)

  • Navigating Organizations (Core-543Q)

• Spring 2

  • Managing Operational and Informational Risks (Track-515Q)

  • Capstone Project (Core-532Q)

  • Business Communications 2 (Core-508Q) 

Marketing

• Summer

  • Business Fundamentals (Core-531Q)

  • Data Infrastructure (Core-519Q)

  • Applied Probability & Statistics (Core-518Q)

  • Business Communications 1 (Core-507Q)

• Fall 1

  • Customer Relationship Management (Track-553Q)

  • Data Science for Business (Core-520Q)

  • Critical Thinking and Collaboration (Core-542Q)

• Fall 2

  • Digital Marketing (Track-549Q)

  • Data Visualization (Core-522Q)

  • Ethical and Legal Issues of Data Analysis (Core-545Q)

• Spring 1

  • Market Intelligence (Track-552Q)

  • Decision Analytics and Modeling (Core-521Q)

  • Navigating Organizations (Core-543Q)

• Spring 2

  • Pricing (Track-555Q)

  • Capstone Project (Core-532Q)

  • Business Communications 2 (508Q)

Strategy

• Summer

  • Business Fundamentals (Core-531Q)

  • Data Infrastructure (Core-519Q)

  • Applied Probability & Statistics (Core-518Q)

  • Business Communications 1 (Core-507Q)

• Fall 1

  • Empirical Economic Analysis (Track-548Q)

  • Data Science for Business (Core-520Q)

  • Critical Thinking and Collaboration (Core-542Q)

• Fall 2

  • Operations Analytics (Track-556Q)

  • Data Visualization (Core-522Q)

  • Ethical and Legal Issues of Data Analysis (Core-545Q)

• Spring 1

  • Strategic Management (Track-558Q)

  • Decision Analytics and Modeling (Core-521Q)

  • Navigating Organizations (Core-543Q)

• Spring 2

  • People Analytics (Track-559Q)

  • Capstone Project (Core-532Q)

  • Business Communications 2 (508Q)

Capstone

The MQM: Business Analytics Program culminates in the Capstone Project (Core-532Q), a six-week intensive project in which teams of four to five students partner with a faculty advisor to solve a specific industry problem utilizing analytics techniques. The capstone is designed to give students the opportunity to utilize the domain-specific skills developed throughout the program in a real-world environment in which they are exposed to the challenges inherent to the modern data environment.