西北大學(xué)

The integration of data science and business strategy has created a demand for professionals who can make data-driven decisions that propel their organizations forward. You can build the essential analysis and leadership skills needed for careers in today's data-driven world in Northwestern’s online Master of Science in Data Science program.

MSDS students gain critical skills for succeeding in today's data-intensive world. They 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.

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.

The Master of Science in Data Science program requires the successful completion of 12 courses to obtain a degree. These requirements cover six core courses, a leadership or project management course, two required courses corresponding to a declared specialization, two electives, and a capstone project or thesis. A specialization may be declared as part of the application process or may be declared at any time during a student’s tenure in the program. Students also have the option of choosing a general data science curriculum with no declared specialization. Current students should refer to curriculum requirements in place at time of entry into the program.

MASTER'S IN DATA SCIENCE PROGRAM GOALS

Articulate analytics as a core strategy of data science
Transform data into actionable insights
Develop statistically sound and robust analytic solutions
Demonstrate leadership
Formulate and manage plans to address business issues
Evaluate constraints on the use of data
Assess data structure and data lifecycle

Data Science Careers

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.