The program's interdisciplinary coursework is designed to set you apart as a highly trained practitioner with the skills needed to move the data science field forward‚ is delivered 100% online. Composed of ten courses, including a two-course Capstone Project, the program has a total of 32 credit hours that can be completed in less than two years.
For the Capstone Project, you will be asked to propose a substantial data science project, carry it through to completion, and provide a professional presentation to faculty and peers that demonstrates what you've learned. Other required courses in the program include:
Students engage in a variety of data analysis techniques, including machine learning, optimization, statistical decision-making, information theory, and data visualization. Graduates of the program go on to work on interdisciplinary projects with data components including communicating with engineers, scientists, businesses, computer scientists, and medical professionals.
Prerequisites for the Data Science master's program include a Bachelor of Science degree in a science, technology, engineering, or mathematics (STEM) field. Applicants with Bachelor's degrees in non-STEM fields may begin study with a Certificate in Data Science that, in an additional term‚ gives the applicant a sample of the program.
Three letters of recommendation
Official GRE scores (if applicable)
GRE General Test scores not required for applicants who will have received a degree from a U.S. or Canadian institution by time of enrollment. GRE scores required for all other applicants.
Official TOEFL, IELTS, or Duolingo test scores (if applicable)