About the MS Data Science Program
Data Science lies at the intersection of machine learning, statistics, and big data analysis. The MS Data Science (MSDS) program prepares students to extract valuable insights from data in a state-of-the-art manner. The program is designed for students who want to begin or advance their careers in data science. It offers a blend of statistical and Bayesian modeling, machine learning, deep learning, management of massive data sets, data visualization, software engineering and data ethics.
The program targets both CS (SE/IT) and other Non-CS/STEM (science, technology, engineering, and mathematics) students to prepare them for data science applications in a wide range of domains. Each year, Non-CS students are first inducted in Fall which is an obligatory foundation semester. CS students are then inducted in the ensuing Spring semester and are joined by the skilled Non-CS intake of the previous semester to complete the core courses.
The core courses develop a strong mathematical, statistical, data science, and big data analysis foundation for the students. Students build up on this foundation through a diversity of available electives notably deep learning, text analytics, and computer vision and social network analysis.
The potential of MSDS in imparting useful advanced computing skills and professional growth is measured by the readiness of the job market and advanced learning schools in absorbing graduates. The curriculum design ensures that the graduates can creatively find technology-based solutions, think critically, and analyze systems and emerging problems independently.
Hence, the vision of MSDS is to create an impact in the industry.