Master of Science in Data Science

Learn to master the ever-growing mountain of crucial data that businesses across the globe need help managing and understanding. Prepare for a solid career in data analytics, data management, and more. The Data Science, M.S. is designed for students with a computer science or related background interested in pursuing data analytics, machine learning, visualization, and more. You'll learn how to employ data science concepts and methods to solve problems in business and scientific contexts and communicate these solutions effectively. You'll study computing theory, languages, and algorithms, and use mathematical and statistical models to formulate and implement data analyses and learn to apply them ethically.
Our practical curriculum incorporates case studies in advanced topics of computer architecture from classic and modern processors, including large-scale systems. You may also participate in sponsored research projects alongside faculty members from funding sources such as the Department of Defense.

Applicants must possess a bachelor's degree from an accredited institution, with a GPA of 2.85 or higher on a 4.0 scale.

Applicants who do not qualify for full matriculation and have an undergraduate GPA between 2.5 and 2.84, may be conditionally admitted at the discretion of the program director.

As data science is an interdisciplinary field, we welcome applicants from diverse professional backgrounds. However, applicants should have the following prerequisites:

One computer programming course
One college-level statistics course
Basic linear algebra
Basic database systems

Submit GRE scores:

The following minimum scores required for full admission to graduate programs are:

IELTS score: 6.0
TOEFL (iBT) score: 79
Pearson PTE score: 53

International students are encouraged to apply by July 1 for fall admission or December 15 for spring admission.