Master of Science in Data Science and Engineering
Join this respected graduate Engineering program at North Carolina A&T State University — America's largest public HBCU and the country's top producer of African American engineers. This interdisciplinary program in the Department of Computational Data Science and Engineering (CDSE) is committed to fostering computing-enabled research and to preparing students to work effectively in innovative environments. Students have access to state-of-the art computing and visualization laboratories, including a Cray supercomputer and a Mechdyne 20-foot 3D immersive visualization system, and can conduct research with faculty from 15 other departments across campus in such areas as:
- Artificial intelligence and machine learning
- Autonomous vehicles
- Bioinformatics
- Computational statistics
- E-commerce
- Image and video processing
- Intelligent transportation and infrastructure systems
- Internet of Things
- Remote sensing
- Scalable algorithms
- Virtual and augmented reality
Program Snapshot
- Credits required: 30
- Time to completion: 2-3 semesters (if full time)
- Tuition: Distance Learning Tuition and Fees
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Why Get an M.S. in Data Science and Engineering Degree?
Information required for businesses, consumers and everyday life has grown exponentially in recent years, requiring new analysis methods and programming languages to deal with this “big data.” As a student and a graduate, you will join the big data revolution through research computing to solve real-world problems in engineering, e-commerce, economics and other fields. You’ll have the opportunity to work on cutting-edge development platforms, equipment and software that are currently being used by industry, and position yourself for an exciting, rewarding career. An advanced degree will allow you to expand your knowledge, stay up-to-date with trends and technology, be more competitive in the job market, and increase your earning potential. According to data from PayScale, the average starting salary of graduates with an M.S. in Data Science and Engineering is 20% higher than that of graduates with a B.S. in the same field.
Potential Careers
Graduates are in demand in such fields as data science and analytics, computer engineering, and system modeling and visualization. Careers include:
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Job Outlook
The U.S. Bureau of Labor Statistics projects data scientist and mathematical science occupations to grow 31% from 2019 to 2029, much faster than the overall job average of 4%, with 10,300 new jobs created.
Number of U.S. data scientist and mathematical science jobs (2019): 33,200
Salary
Median pay, data scientist (2020): $98,230 per year / $47.23 per hour
Employers of Our Graduates
Graduates of the Department of Computational Data Science and Engineering have been hired by employers including Texas Instruments, Lockheed Martin, General Motors, DXC Technology, N.C. A&T State University, Bennett College and St. Clair College.
Admission Requirements
We admit into our programs students with backgrounds from a great variety of disciplines, including the basic sciences (like physics and biology), engineering, mathematics, business and economics. 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.
Find out more about graduate admissions and APPLY TODAY.
Application Deadlines
| Fall admission | Spring admission | |
| Priority | Jan. 15 | |
| General | July 1 | Nov. 1 |
Funding Your Education
North Carolina A&T has established a number of financial support opportunities for outstanding graduate students in order to enhance research and graduate education. These include fellowships, scholarships, assistantships and out-of-state tuition supplements.
Program Requirements
The program requires 30 hours (10 courses), with project and course-only options. The four required courses (12 credits) are:
- CSE 620: Introduction to Computational Software Tools
- CSE 704: Data Processing and Visualization
- CSE 708: Data Analytics and Engineering Applications
- CSE 817: Fundamentals of Big Data Analysis
Explore the curriculum guide.
Corporate Partners
The Industrial Advisory Board of the Department of Computational Data Science and Engineering includes members like AMD, Cisco, Dell, IBM, Intel, Microsoft, SAS, Whole Foods and Yelp.
Contact Information
For program-related questions:
| Balakrishna Gokaraju, Ph.D. | or | Marwan Bikdash, Ph.D. |
| Graduate Program Coordinator | Department Chair | |
| Computational Science & Engineering | Computational Science & Engineering | |
| College of Engineering | College of Engineering | |
| 336-285-3210 | 336-285-3249 |
For assistance with the admissions process:
The Graduate College
Email
336-285-2366
For online learning support and inquiries:
Extended Campus
Email
336-334-7810 or 888-498-6752 (Toll-Free)