M.S. in Data Science Curriculum
Over the course of 30 credits, you will study theory, algorithms, and programming languages and apply the skills you learn in the classroom to solve real-world problems for external clients. Through small classes and a personalized learning experience, you will have the opportunity to work one-on-one with faculty as well as participate in various team projects.
Monmouth’s M.S. in Data Science program is divided into two areas: required courses, elective courses or an optional thesis.
Required Courses (24 Credits)
Your core courses will focus on the theory and practice of data science while providing instruction on data analysis methodologies and techniques, data handling, and the interpretation of analyses. Topics of study will include the methods and challenges of presenting data findings, ethical issues associated with data science, best practices for working with clients, and more.
Elective Courses or Thesis (6 credits)
These courses will provide students with hands-on experience in a variety of areas where data science can be applied, such as business, social networks, journalism, sports analytics, and health care.
You may choose to substitute elective offerings in advanced data science techniques or data analysis in business and finance.
Elective credits give students the opportunity to explore various topics or work toward a two-semester thesis, diving into specialized data science topics that culminates in a dissertation.
