Building professional experiences in conjunction with industry collaborators helps our students find the jobs that they want. Industry PartnersPracticum & Capstone Sponsorship
In order to prepare students for their future careers, the Master of Science in Machine Learning and Data Science program seeks to enhance in-class learning with industry practice. The program provides students with the knowledge and skills to succeed in the workplace by building professional experiences in conjunction with industry collaborators.
Internships
Securing an industry internship is a core requirement of the degree. Students who have reached the internship phase of the program will have completed three quarters of coursework and should be motivated to apply their skills to a professional setting. Interns may be employed to undertake discrete projects or to supplement resources of existing teams.
Learn more about placement and previous internships held by our students
Practicum and Capstone Projects
Twice in the curriculum, students engage in applied projects provided directly from industry. During the practicum and capstone projects, students work in teams for extended periods on industry-supplied problems. Teams work with technical advisors, business advisors, and company sponsors in order to scope projects, cleanse and process data, and perform analytics before delivering final recommendations. Practicum projects are expected to last eight months, and capstone projects are expected to last ten weeks.
Data Sets and Class Projects
Classes in the Master of Science in Machine Learning and Data Science program rely on a wealth of data. Providing data sets offers refreshing insight and exposure to otherwise under-used information.
Guest Lecturers
Industry leaders visit Northwestern to lecture in a class about a topic or issue in which they have particular experience. For students, opportunities to interact with established professionals in these settings are of immense value.
Industry Workshops and Seminars
Organizations and individuals may speak at, and participate in, seminars and workshops hosted at Northwestern University by the Master of Science in Machine Learning and Data Science program. This series fosters cross-industry dialogue to explore best practices, recent innovations, and common problems in analytics.
Employment
Graduates of the Master of Science in Machine Learning and Data Science will be prepared for immediate employment in a variety of professional environments and will have a robust foundation for building a career. We expect our students to be highly sought after by data-savvy organizations.
Learn more about placement and previous career offers received by our students
