Building professional experiences in conjunction with industry collaborators helps our students find the jobs that they want. CurriculumIndustry Collaboration
The Master of Science in Machine Learning and Data Science program enhances in-class learning through industry collaboration. Students build professional networks and connections as they apply coursework to real-world workplaces.
Practicum and Capstone Projects
Students engage with two industry-sourced, applied projects. Under the guidance of a faculty advisor, small teams of students work together to provide effective and efficient solutions for their clients while applying analytical skills developed through coursework. Practicum projects last eight months, and Capstone projects last ten weeks.
Internships
An internship or other similarly substantial experiential learning opportunity is an integral and required part of the MLDS curriculum.
Learn where our students have interned in the past
View Internship and Job Placement Supports through Engineering Career Development
Industry Workshops and Seminars
Organizations and individuals frequently speak at and attend program-sponsored seminars and workshops hosted at Northwestern University, which foster cross-industry dialogue to explore best practices, recent innovations, and common problems in data science.
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.
