Seton Hall alters graduate program in data science, enhances engineering focus

Seton Hall University announced Thursday that it is changing the name of its Master of Science in Data Science to Master of Science (M.S.) in Data Science and Engineering, beginning this fall.

The change reflects course enhancements that are pertinent to the skills employers seek in data scientists — foundational data science expertise and applied engineering problem-solving skills. 

The Bureau of Labor Statistics reports that employment in data scientist roles is expected to grow by more than 36% over the next decade ending in 2033, much faster than the average. Median pay as of 2024 is $112,590 per year.

“Data now informs every industry, so the professionals who can understand, manage and innovate with it are in high demand across fields, including health, finance, insurance, technology and policy,” said Jonathan Farina, interim dean of the College of Arts and Sciences. “The M.S. in Data Science and Engineering offers a careful balance between a comprehensive and flexible foundation and industry-specific applications and experience that will empower our career-ready graduates to meet these challenges and adapt with the future.”

Data engineering is the backbone of data-driven organizations and enables companies to create the infrastructure to manage data.

“A data scientist can’t build accurate models without well-structured data,”  Program Director and Professor Manfred Minimair. “Data engineering gives them the tools to organize, prepare the data and make sure it’s ready to be used.”

The program will maintain its emphasis on the use of cutting-edge technologies, including cloud computing platforms like Amazon Web Services (AWS) and programming languages.