⦿ Completed online application
⦿ $90 nonrefundable application fee for applications with international credentials
⦿ Baccalaureate degree from a regionally accredited university
⦿ Official transcripts from each institution where course credit was granted
⦿ Minimum 2.75 GPA in the last 60 hours of undergraduate course work (plus any completed graduate courses)
⦿ Background course work
⦿ Official GRE (general test only) with competitive scores in the verbal reasoning and quantitative reasoning sections
⦿ The GRE may be waived if the student holds a master’s or doctoral degree from a regionally accredited U.S. institution. If the student holds a master’s or doctoral degree (or the equivalent thereof) from an accredited international institution, the GRE may be waived on an individual basis.

⦿ Resume/CV
⦿ Statement of purpose
⦿ Three letters of recommendation
⦿ Students admitted to the program will participate in a diagnostic interview with the graduate advisor. This interview will include a review of test scores, grades, and work history. In some cases, additional courses may be added to the degree program.

The Master of Science (M.S.) degree with a major in Computer Science concentration in Data Science covers the foundations of data science and exposes students to up to date theories, techniques, and practices of data science field. Data science, which encompasses big data, employs machine learning, artificial intelligence (AI), statistical and other advanced models and techniques on big data. The work of data science can help identify valuable knowledge that is impossible or extremely difficult to obtain previously. Those knowledge and findings can help organizations understand their strengths and weakness and make meaningful and effective changes. As such, data science has emerged as one of hottest areas in computer science and demand for computer science professionals with expertise in data science has been rising constantly and rapidly. Major tech companies all actively recruit computer science professionals with data science expertise.

⦿ January
⦿ September