Computational Data Science and Engineering
The Ph.D. in Computational Data Science and Engineering is an interdisciplinary graduate program designed for students who seek to use advanced computational methods to solve problems involving big data, extensive computations, and complex modeling, simulation, optimization and visualization.
The M.S. in Data Science and Engineering is an interdisciplinary graduate program designed for students who seek to use computing and data science and engineering to solve problems involving big data, extensive computations, and complex modeling, simulation, optimization and visualization.
The mission of the Department of Computational Data Science and Engineering is to graduate professionals who (a) have expertise in developing novel computational methodologies and products, and/or (b) have extended their expertise in specific disciplines (in science, technology, engineering, and socioeconomics) with computational tools.
Research in Computational Data Science and Engineering includes: big data and computational statistics, AI and Machine Learning, internet of things, large and complex systems, intelligent transportation and infrastructure systems, remote sensing, autonomous vehicles, virtual and augmented reality, e-commerce, image and video processing, scientific and interactive visualization, high-performance computing, scalable algorithms, bioinformatics, and multi-scale multi-physics engineering systems.
Degrees Offered: Ph.D. (Computational Data Science & Engineering) and M.S. (Data Science & Engineering)
Ph.D. Program Admission Requirements:
- Master of Science or Engineering degree in computational, computer, or data science and engineering or in an allied field in science, engineering, business, economics, and technology.
- Admission to the PhD program is also possible with a B.S. in computational, computer, or data science and engineering or in an allied field in science, engineering, business, economics, and technology, with additional requirements for admission and graduation.
M.S. Program Admission Requirements:
- An approved Bachelor of Science or Engineering degree with a minimum GPA of 3.0 is required. A working knowledge of statistics, matrices, or linear algebra, and experience in programming are desirable.
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Contact Information
College of Engineering
Department of Computational Data Science & Engieering
Graduate Coordinator: AKM Islam
Email: akislam@ncat.edu
Phone: 336-285-3714
Department Chair: Marwan Bikdash
Email: bikdash@ncat.edu
Phone: 336-285-3249
