The Data and Analytics program is a standard 2-academic-year master’s program. This structure allows for an in-depth exploration of advanced analytics concepts, practical applications, and a capstone project.

Applicants should have a basic understanding of mathematics, statistics, and some programming experience (Python or R recommended). Prior experience in analytics or computer science is beneficial, though foundational courses are available to support all incoming students.

Graduates earn a Master’s Degree in Data and Analytics awarded by their host university, acknowledging successful completion of SEADS Institute’s specialized curriculum.

Yes, the program emphasizes hands-on projects, real-world case studies, and a capstone project. Students gain experience with leading data tools and software, including SQL, Python, R, and visualization platforms.

The program is designed for flexibility; however, the specific delivery method—whether online, in-person, or hybrid—will be determined by the host university. Students should confirm the delivery mechanism directly with their host institution.