Successful applicants for both the M.S. in Data Science and Certification of Professional Achievement in Data Sciences programs should have:

an undergraduate degree


a personal statement

prior quantitative coursework (i.e., linear algebra, probability/statistics, etc.)
prior introductory to computer programming coursework (i.e., Python, Java, C+, etc.)


We often have prospective students ask about how they should meet the required quantitative or computer programming prerequisites if they have not previously completed formal credit-bearing coursework. Many applicants often ask about completing massive open online courses (MOOC) as a means of meeting the prerequisites. While these strategies are encouraged, keep in mind that the admissions process is competitive. Faculty reviewers will often place more weight on formal coursework or work experience over MOOCs. That said, MOOCs are routinely used to supplement learning and/or serve as a refresher course for many of our students.
Undergraduate degree
Prior quantitative coursework (calculus, linear algebra, etc.)
Prior introductory computer programming coursework
Uploaded transcripts from every post-secondary institution attended
Three recommendation letters
Personal statement
Curriculum vitae / resume