Welcome to the Master of Science in Analytics Program (MSiA)

The Master of Science in Analytics program at Northwestern University’s McCormick School of Engineering teaches students the skills that drive business success in today’s hyper-competitive, data-driven world.

Drawing on the expertise of many renowned professors and lecturers from major corporations, we combine mathematical and statistical studies with instruction in advanced data engineering and management. Students are immersed in a comprehensive and applied curriculum as they learn to:

  • Perform data engineering and other fundamental data related processes on-premise and in the cloud
  • Identify patterns and trends in data
  • Apply artificial intelligence solutions including deep learning and reinforcement learning to introduce and deploy "machines" to augment human decision-making
  • Develop and deploy innovative and creative analytics, machine learning, and artificial intelligence solutions within a business context
  • Derive optimized data-driven recommendations
  • Interpret and gain insight from vast quantities of structured and unstructured data by using advanced data science technologies and techniques
  • Communicate findings in practical and useful terms that help businesses succeed

Supplemented by an internship and industry-supplied projects, graduates will be exceptionally well equipped to harness and communicate the full value of data to the organizations they serve.

Quick Facts

Degree Name

Master of Science in Analytics


15 months, full-time

Start Date

Each Fall Quarter (September)

Course Structure

  • Sequenced curriculum
  • 4 required core courses per quarter
  • Industry-supplied projects

Class Size

Approximately 40 students per cohort

Program Features


Evanston campus


Tuition and funding information

Application opens

September 1

Application deadline

Scholarship Priority Deadline: December 1

Regular Deadline: January 15


Why MSiA at Northwestern University?

The Master of Science in Analytics program is housed within the department of Industrial Engineering and Management Sciences at the McCormick School of Engineering. We are a full-time, 15-month professional master's degree with an applied data science curriculum. 

Many programs focus on just one aspect of analytics, producing graduates who are trained primarily in either modeling or data mining. Our program takes a broader, more comprehensive approach to analytics education. Coursework includes advanced machine learning and artificial intelligence techniques in addition to traditional applied statistical approaches. Students learn to think critically about matching techniques and programming solutions to business problems within an organizational context. To ground our curriculum in practical data science, our faculty use case studies of real-world analytics problems to foster discussion and refine mathematical, computing, and operational skills.

The Master of Science in Analytics program at Northwestern University features study in all three areas of analytics: predictive, prescriptive, and descriptive. Industry access, including a practicum project, capstone project, and a required data science internship, allow students to immediately implement their new skills. The full-time, small cohort helps to foster a tight-knit community where students are able to share their strengths and build meaningful connections. Our customized curriculum taught by tenured faculty from the McCormick School of Engineering, the Kellogg School of Management, and the Medill School of Journalism, Media, and Integrated Marketing Communications combines data engineering, machine learning, artificial intelligence, data science, and business. 

Diversity and Inclusion

The Master of Science in Analytics program strives to foster an environment that values diversity and inclusion of all people. For more information on Northwestern University's dedication to diversity and inclusion, please visit the Office of Institutional Diversity and Inclusion.