Master's | In-person

Master of Science in Analytics


MScA Program Structure

Students have the flexibility to pursue the Master of Science in Analytics degree on a part- or full-time schedule. Part-time students enroll in two courses each quarter and take their courses in the evenings or on Saturdays. Full-time students take three courses per quarter. Some of their courses may be offered during the day. All courses are taught at the NBC Tower in downtown Chicago.

Students earn the Master of Science in Analytics by successfully completing twelve credit courses and a final capstone project.

Data Science Curriculum

Our program builds a basis in analytics theory that will be applied in advanced analytics classes that span several analytics disciplines and specialities.

Foundational Noncredit Analytics Courses

Foundational noncredit courses provide the basis for our rigorous analytics degree that will support the theoretical, strategic, and practical analytics studies in more advanced courses. Students with sufficient preparation may be eligible to bypass the programming course.

Depending on the results of a linear algebra pre-test, students may also be required to take an introductory linear algebra course.

Pre-quarter foundational courses (non-credit):

*All pre-quarter courses are completed virtually for all MScA students regardless if they enroll in our in-person or online program.

Required foundational course (non-credit):

Core Courses

Core courses allow students to build their theoretical analytics knowledge and practice applying this theory to examine business problems. Each of the seven core courses is required to earn the Master of Science in Analytics. Students choose either Leadership Skills: Teams, Strategies, and Communications (MSCA 31003) or Data Science for Consulting (MSCA 31015) as one of the core courses.

One of the following Data Engineering courses*:

*Optional core courses may be taken as electives.

One of the following Leadership courses*:

*Optional core courses may be taken as electives.

Elective Courses

Explore advanced analytics strategies and applications. Students in the 12-course curriculum are required to complete three elective courses. Our program continually adds electives to evolve with the analytics landscape. Alumni are able to take classes, when available, at reduced tuition.

Analytics Capstone Project

  • The required capstone project is completed over two quarters and covers research design, implementation, and writing.
  • Students will generally start their capstone project two quarters before their projected graduation. Full-time students start their capstone project in their third quarter.

Learn more about capstone projects

Noncredit Workshops and Short Courses

Noncredit short courses and workshops are offered to support student success in the relevant concurrent courses and electives.