Data Science

Choose between two concentrations: computer science or engineering. Both start with the same foundational courses, covering data management, programming, algorithms, and machine learning. The concentrations then dive into different applications through specialization courses.

Computer Science (Khoury College of Computer Sciences) Learn to build the infrastructure behind data-driven products. You might create AI tools to flag fraudulent transactions for banks or design recommendation systems for music streaming platforms. Courses in cloud computing and distributed systems teach you to develop scalable platforms—think ride-share or news apps—while database classes show you how to organize and query massive datasets. Human–computer interaction coursework ensures you can create intuitive interfaces, such as voice-activated assistants.

Engineering Theory and Modeling Concentration (College of Engineering)
By comparison, the engineering concentration focuses on applying data techniques to tangible challenges in fields like renewable energy, chemical processing, or urban infrastructure. You might use data models to predict equipment failures in manufacturing plants, optimize traffic flow in smart cities, or analyze environmental data to improve wastewater treatment.

• Our program meets F-1 international student status requirements.
• This is an interdisciplinary program between Khoury College of Computer Sciences and the Department of Electrical and Computer Engineering in the College of Engineering.
• Choose between two concentrations: computer science (Khoury College of Computer Sciences) and engineering theory and modeling (College of Engineering).
• Courses are tailored toward technically or mathematically trained students.
• Elective courses allow you to explore what interests you.

After you successfully complete your master’s in data science are qualified to seek jobs as:

• Data scientist
• Machine learning engineer
• Applications architect
• Enterprise architect
• Data architect
• Infrastructure architect
• Data engineer
• Business intelligence developer
• Data analyst

Employees with data science expertise are sought out in every industry, not just in technology. “Data scientists are highly educated—88 percent have at least a master’s degree and 46 percent have PhDs—and while there are notable exceptions, a very strong educational background is usually required to develop the depth of knowledge necessary to be a data scientist,” reports KDnuggets, a leading website on Big Data.

Applicants must submit the online application and all required admission materials no later than the stated deadlines to be considered for admission. Admissions decisions are made on a rolling basis.

• Online application and fee

• Transcripts from all institutions attended 

• Statement of purpose that should include career goals and expected outcomes and benefits from the program

• Recent professional resumé listing detailed position responsibilities

• Three letters of recommendation

• GPA minimums: 3.0 on a 4.0 scale, 8.0 on a 10.0 scale, or 80 on a 100 scale

• Recommended TOEFL (90 minimum) or IELTS (6.5 minimum) examination scores (international students only)

• GRE Optional