Management Science (M.S.)

Analytics Specialization

The Analytics specialization in the M.S. in Management Science program is ideal for students who want to apply the theoretical, analytical, and quantitative rigor of management science to careers in analytics.

In addition to the program’s core courses in mathematical economics and statistics in management science, this specialization focuses on analytics, data-driven marketing research, data mining, predictive analytics, and social media marketing.

The program offers opportunities to develop specialized skills involving analytics in fields such as marketing, networks, and supply chain management. Students also select at least nine credits in elective courses (typically three courses) offered by master’s programs at Stuart.

Required courses for the Analytics specialization (three credits per course):

  • MAX 502—Analytics for Decision Making
  • MAX 503—Marketing Research and Engineering
  • MAX 522/MSC 615—Predictive Analytics
  • MAX 523/MSC 616—Social Media Marketing Analytics

View the curriculum for the M.S. in Management Science (MSC) program and MSC course descriptions.

Career Opportunities

As a longtime center for advertising, marketing, and logistics, as well as a growing hub for startups and tech businesses of all types, Chicago offers Stuart students in analytics abundant opportunities for internships, jobs, and networking with professionals.

The M.S. in Management Science with a specialization in Analytics prepares students for positions at all kinds of businesses and organizations—both consumer-focused and business-to-business—in which leveraging, modeling, and interpreting data plays a key role. This includes industries across the spectrum, from marketing to healthcare to logistics, as well as consulting.

Our graduates are ready to take on roles such as:

  • Data analyst, data scientist, or quantitative analyst
  • Consumer analytics manager, data analytics manager, or management analyst
  • Market research director or manager, information technology manager, business intelligence developer, or data storyteller
  • Transportation logistics manager or operations analyst, or operations manager