COURSE SCHEDULE
Wednesday, July 10: 12:30 p.m. - 7:00 p.m.
Accelerated Master's in Data Science
The integration of data science and business strategy has created a demand for professionals who can make data-driven decisions that move their organizations forward. Students can build the essential analysis and leadership skills needed for careers in today's data-driven world in Northwestern’s Master of Science in Data Science program.
Wednesday, July 10: 12:30 p.m. - 7:00 p.m.
Northwestern Master of Science in Data Science (MSDS) students learn how to utilize relational, document, and graph database systems and analytics software built upon open-source systems such as R, Python, and Go, with TensorFlow and Keras for deep learning. They learn how to make trustworthy predictions using traditional statistics and machine learning methods.
You can complete your degree in one year through a blend of online and on-campus classes in this accelerated program. Northwestern's part-time online data science program has long been established as a leader in graduate data science and analytics programs.
Choose one of five specializations: Analytics and Modeling, Analytics Management, Artificial Intelligence, Data Engineering, or Technology Entrepreneurship.
The MSDS program features three languages: Python, R, and Go. Students in the MSDS program gain experience with these three languages and can tailor their studies to one language or another based on the specialization they choose.
Wednesday, July 10: 12:30 p.m. - 7:00 p.m.
Immerse yourself in the program by taking three courses per quarter. With two on-campus courses and one online course each term, you'll have the flexibility to pursue additional outside activities during the day. Benefit from strong relationships built in a cohort and from learning with diverse groups of professionals — many who are highly-placed in their fields. International and domestic students are encouraged to apply for the accelerated option. Admitted international students are eligible to apply for and receive a student visa.
Custom programming for accelerated students focusing on networking and engagement. Many events are partnered with local professional organizations, non-profits, and businesses. We also provide many opportunities to learn more about Chicago and the local area.
Event examples from previous years:
One week of unique programming to build community, meet faculty and support staff, and develop key skills for academic success. All meals, transportation, and event activities included.
Custom workshops, study sessions, and language support based collaboration and coordination with faculty for program and course specific support.
Examples of Academic and Language Support:
To obtain the Master of Science in Data Science degree, students complete 12 courses that will enable them to build the high-level skills needed for careers in data science. Courses include core courses, specialization courses, a leadership or project management course, and a capstone project or thesis.
REVIEW ACCELERATED CURRICULUM
A variety of factors are considered when your application is reviewed. Background and experience vary from student to student. For a complete list of requirements, see the Admission page for the Accelerated MS in Data Science program.
Tuition for the Accelerated Master's in Data Science program at Northwestern is comparable to other competitive analytics programs in the U.S. Financial aid opportunities exist for students at Northwestern. Complete details can be found on the Tuition and Financial Aid for Data Science web page.
Already accepted into the Accelerated Master's in Data Science program? Get ahead and register for your classes as soon as possible to ensure maximum efficiency in your trajectory.
As this interdisciplinary field continues to evolve, data scientists are defining new areas of focus to play key roles at various stages of the business cycle through modeling, engineering, and management. Consequently, professionals with expertise in data analysis, mathematics, machine learning, object-oriented programming, computer science, and business management are in demand across a wide range of industries.
Northwestern data science faculty members include data scientists, professional researchers and consultants, social scientists, mathematicians, statisticians, and computer scientists who bring practical real-world experiences to the online classroom and engage with students on an interpersonal level. Most faculty members hold terminal doctoral degrees and have extensive teaching and business experience. Get to know the instructors on our Data Science Program Faculty page.
The MS in Data Science Student Leadership Council strives to broaden awareness of Data Science in practice and build a sense of community in the program by fostering relationships among students, alumni, and leading industry professionals.