M.S. - Analytics
The Master of Science in Analytics combines mathematical and statistical study with instruction in advanced computational and data analysis. Students learn to identify patterns and trends; interpret and gain insight from vast quantities of structured and unstructured data; and communicate their findings in practical, useful terms.
All three areas of data analysis are studied: predictive (forecasting), descriptive (business intelligence and data mining) and prescriptive (optimization and simulation).
Many programs focus on just one aspect of analytics – producing graduates who are trained primarily in modeling or data mining. Our more comprehensive curriculum provides a broader perspective, teaching the skills necessary to be highly effective in solving real-world business challenges. Students learn that naïve data analysis can be misleading, that large-scale problems are not amenable to simple solutions, and that working with unstructured field data is different than working with the results of a design experiment. Coursework covers everything from database management, statistical analysis and data mining, to project management and business intelligence. Please visit the Curriculum pages for more information.
15 month full-time program
Study commences in September and degree is conferred in December of the following year. This is not a part time or weekend program, nor a stepping stone toward a PhD. It is designed for quantitatively savvy students with backgrounds across a range of disciplines, such as engineering, science or business, who want to kickstart their careers from a position of strength – with wider job opportunities and higher earning potential.
All classes in the Master of Science in Analytics are offered in the McCormick School of Engineering on the Evanston campus and students admitted to the program will be able to utilize all the resources of Northwestern University.
Training and practice in a range of industry tools.
The Master of Science in Analytics program provides training and practice in SPSS, SAS, Cognos, Tableau and Hadoop. Students receive training direct from the vendors in our 'boot camp' prior to the start of the quarter.
Taught by full-time, tenured faculty as well as prominent industry leaders
Approximately half of the courses will be taught by tenured members faculty from the top five ranked Department of Industrial Engineering and Management Sciences. To supplement them, the Master of Science in Analytics draws on the powerful resources of Northwestern University to bring in instructors from other schools and departments such as the Kellogg School of Management, the Integrated Marketing Communications program at the Medill School of Journalism and the Department of Electrical Engineering and Computer Science.
The faculty will be supplemented by industry experts working at the edge of analytics today in major corporations, who can provide their direct insight into the applications of analytics in the marketplace.
8 month Industry Practicum
Right from their first quarter in the program, students are engaging in real industry projects. Working in small teams, students will be given access to data and an organization which is seeking to make better use of its data. Students will be expected to scope the problem, cleanse and analyze the data before delivering a final report and recommendations in the spring quarter.
Summer Internship Placement
Each student will spend three months contributing to an actual project team, choosing from a variety of industries. The faculty work closely with companies throughout the United States to find internships that fit the educational needs and interests of each student.
Capstone Design Project
During their final quarter, students will work in teams on to develop a business solution to a current real-world problem provided by a US company. Teams will communicate directly with the company, and defend their reasoning and recommendations. Students will be evaluated on how well they integrate the total course material. This provides practical experience in using data, both structured and unstructured, to create algorithms and business models just as they do in corporate environments.
Distinguished Speakers Series
To complement academic instruction, the program also includes a Distinguished Speakers Series. Each quarter we bring in well-known executives and managers from top companies as well as leading scholars to present guest lectures and seminars.
Summer internships, the practicum and the capstone course allow students to gain work experience and explore career opportunities with three different companies while earning their degree. Program participants will also have full access to Northwestern University’s extensive career placement resources.
North Central Association of Colleges and Schools, The Higher Learning Commission