Master’s in Data Science for MIT MicroMaster's Credential Holders
Open to credential holders of the MITx MicroMasters in Statistics and Data Science, this nine-course online program offers the depth and rigor of Northwestern's twelve-course MS in Data Science program. Successful credential holders of the MIT Micromasters in Statistics and Data Science program have demonstrated proficiency with the fundamental elements of data science and are prepared to immediately begin with the master's program's more advanced courses.
The curriculum builds essential analysis and leadership skills needed for careers in today's data-intensive world. Students learn how to utilize relational and document database systems and analytics software built upon open-source systems such as R, Python, and TensorFlow. They learn how to make trustworthy predictions using traditional statistics and machine learning methods.
You can choose a general data science track or one of four specializations: Analytics and Modeling, Artificial Intelligence, Data Engineering, or Analytics Management. The specializations are designed to foster individual career growth based on your professional goals. You can further customize your studies with a wide range of elective courses, including financial and risk analytics, artificial intelligence and deep learning, analytics systems analysis, and information retrieval and real-time analytics.
A twelve-course version of the MS in Data Science program is also offered to qualified applicants.
START MY APPLICATIONRequest Information ATTEND AN INFORMATION SESSION
The biggest benefit of the program for me was that it gave me a deeper understanding of how predictive models work and how they can be applied. Just as important, it allowed me to communicate what a predictive analysis means.”
Jason Okui, Product Manager, Adobe
Courses range from statistical analysis to database systems to practical machine learning. Explore all the MS in Data Science for MIT Micromaster's Credential Holders Online Courses for full detail on the program's offerings.
The Master's in Data Science for MIT Micromaster's Credential Holders requires the successful completion of nine courses to obtain a degree. These requirements cover three core courses, a leadership or project management course, two required courses corresponding to a declared specialization, two electives, and a capstone project (498) or thesis (590). Review curriculum details and elective choices while you consider applying to this program.
To be eligible for admission to the MS in Data Science for MIT Micromaster's Credential Holders program, applicants must have successfully completed MIT's Micromasters in Statistics and Data Science program. For a complete list of requirements, see the Master's in Data Science for MIT Micromaster's Credential Holders Admission page.
Tuition for the Master's in Data Science for MIT Micromaster's Credential Holders program at Northwestern is comparable to other competitive online analytics programs across the nation. Financial aid opportunities exist for students at Northwestern. Complete details can be found on the Tuition and Financial Aid web page.
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 Program Faculty page.
Already accepted into the Master's in Data Science for MIT Micromaster's Credential Holders program? Get ahead and register for your classes as soon as possible to ensure maximum efficiency in your trajectory.
COURSE SCHEDULE & REGISTRATION REGISTRATION POLICIES & CONTACTS
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.
The MSDS Student Leadership Council strives to broaden awareness of Data Science in practice and build a sense of community in the program by creating opportunities and events that foster relationships among students, alumni, and leading industry professionals.
