Master's | Online

Master of Science in Analytics Online

Curriculum

MScA Program Structure

Students have the flexibility to pursue the Master of Science in Analytics Online degree on a part- or full-time schedule. Part-time students enroll in one or two courses each quarter and take their courses in the evenings or on Saturdays. Full-time students take three courses per quarter, some of which may be offered during the day.

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

Data Science Curriculum

Our program takes students through the fundamentals of analytics theory to advanced analytics classes spanning several 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):

Required foundational course (non-credit):


Core Courses

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

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

Students in the twelve-course curriculum are required to complete three elective courses that teach advanced analytics strategies and applications. 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


In-Person Immersion Weekend

The Master of Science in Analytics Online (MScA) combines online study with a unique on-the-ground immersion weekend in Chicago in both Autumn and Spring quarters. While optional, the immersion weekend offers students the opportunity to:

  • Network with industry partners and faculty
  • Join a hands-on workshop, working to develop industry solutions
  • Tour the Data Science Institute
  • Gain career insights as well as the latest trends and challenges in AI/ML
  • Watch capstone project presentations
  • Discuss ethics in data science

Students will meet a vibrant and supportive community of like-minded students and faculty and get to know, bond, and network with peers from across the country.


Noncredit Workshops and Short Courses

We offer noncredit short courses and workshops to support student success in relevant concurrent courses and electives.