Program Description
The Master of Science in Data Science Program brings computer science, applied mathematics, and statistics together to prepare its graduates for seeking careers in data science. The MS in DS Program is designed to be a fully online with optional on-campus immersion experiences. Upon completing the proposed program, students get right blend of theory and practice of computer science and applied mathematics to draw insights and to extract information from large data.
Target Audience
The program is open to all majors with minimum prerequisite requirements in mathematics and computer science. Based on your major and background, you may be asked to take up to three undergraduate prerequisite courses.
It is particularly suitable for students with an undergraduate degree in STEM or with a minor in Computer Science or Mathematics. The program is suited the students who seek advanced credentials for employment in various areas of Data Science. It is also appropriate for students who intend to pursue a doctoral degree in Data Science or related fields. The Master of Science in Data Science Program is offered online so that the program can accommodate working IT professionals.
Fully Online
The Master of Science in Data Science Program is fully online with optional on-campus immersion experiences. While all courses are delivered online, students areallowed to take up to three on-ground courses to be completed in a single semester.
Job Market
The US Bureau of Labor Statistics projects that data science will continue to be among the fastest growing occupations for the near future. The demand for data scientist is continuously growing worldwide in a wide range of industries including healthcare, medicine, finance, information technology, manufacturing, telecommunication and many others. Employers seek professionals with strong skills in data science. The Master of Science in Data Science Program provides the students with the skill set required to be globally competitive in data science and related areas.
Data Science applies statistical and computational techniques, algorithms, and theories of computer science and mathematics to solve problems arising from the analysis of big data. It usually focuses on development of computationally intensive data mining, pattern recognition, machine learning, and visualization techniques to increase understanding of large data. Knowledge of modeling, analysis, interpretation, and explaining data has become the basic requirement for wide areas of science, engineering, medicine, agriculture, and related areas.
