Data Science, M.S.

While the advent of information technology brings tremendous opportunities for industry, it also brings with it increasing complexities of the digital economy and challenges to enterprises and to individual executives and managers. Today, the data scientist, who deals with big data to find insights into new and emerging types of data and content, is the sought-after professional.

The Master of Science in Data Science (MSDS) degree program is designed to equip individuals with best-practice knowledge and current methodologies to make their businesses more agile as they acquire skills to aggregate and analyze disparate types of data and to recognize patterns and trends within that data. Students collaborate within the classroom environment to research and present data-driven solutions to real-world problems. The curriculum encompasses foundational aspects of data science, including:

Information structures
Statistical analysis and decision modeling
Research methods in informatics
Big data management and analytics
Data mining and predictive analytics

Completion of the program requires 30 graduate credits (10 courses). To provide a common background in data science, eight core courses are required of all students. The degree culminates with a comprehensive real-life, industry-type practicum comprising of the 30 credits, oriented toward the student’s domain of interest.

Data Science, M.S.

Required Courses (30 hours)

Phase I: Research and Design (15 hours)

Phase II: Implementation and Analytics (15 hours)

Certificate of Graduate Studies in Data Science (15 hours)