College of Arts and Sciences
Department of Computer Science
Department of Mathematical Sciences
www.kent.edu/cs


About This Program

The Data Science M.S. program provides you with the theoretical knowledge and practical experience needed to succeed in today's data-driven world. With hands-on learning opportunities, experienced faculty and cutting-edge technology, you'll be prepared to solve complex data challenges and make an impact in your field. Read more...

Contact Information

Program Delivery

  • Delivery:
    • In person
  • Location:
    • Kent Campus

Examples of Possible Careers and Salaries*

Data scientists and mathematical science occupations, all other

  • 30.9% much faster than the average
  • 33,200 number of jobs
  • $98,230 potential earnings

Computer and information research scientists

  • 15.4% much faster than the average
  • 32,700 number of jobs
  • $126,830 potential earnings

Statisticians

  • 34.6% much faster than the average
  • 42,700 number of jobs
  • $92,270 potential earnings

Computer and information systems managers

  • 10.4% much faster than the average
  • 461,000 number of jobs
  • $151,150 potential earnings

Management analysts

  • 10.7% much faster than the average
  • 876,300 number of jobs
  • $87,660 potential earnings

Database administrators and architects

  • 9.7% much faster than the average
  • 132,500 number of jobs
  • $98,860 potential earnings

Computer programmers

  • -9.4% decline
  • 213,900 number of jobs
  • $89,190 potential earnings

Software developers and software quality assurance analysts and testers

  • 21.5% much faster than the average
  • 1,469,200 number of jobs
  • $110,140 potential earnings

* Source of occupation titles and labor data comes from the U.S. Bureau of Labor Statistics' Occupational Outlook Handbook. Data comprises projected percent change in employment over the next 10 years; nation-wide employment numbers; and the yearly median wage at which half of the workers in the occupation earned more than that amount and half earned less.