Master's in Computer Science - Data Science and Big Data

The Master’s in Computer Science, Data Science and Big Data is designed to build computer science depth and research competence with a focus on data organization with real-world applications. This master’s degree prepares students for advanced careers in computing fields or doctoral study in computer science. 

The Data Science and Big Data concentration provides technical skills for the in-demand field of data science. Master’s students take courses on theories, algorithms, and technologies to develop analytical systems for disparate, complex, and small or large-scale datasets.

MASTER’s IN DATA SCIENCE AND BIG DATa PROGRAM DISTINCTIONS

• The program offers opportunities for you to work alongside faculty who are conducting cutting-edge research in bioinformatics, virtual reality, big data, artificial intelligence, security, and much more. 
• Faculty participate in research with funding from grants the National Science Foundation, National Institutes for Standards and Technology, and more. 
• UNCG is one of only seven North Carolina public universities accredited by the Accreditation Board for Engineering and Technology (ABET).

THE Master’s STUDENT EXPERIENCE in the Data Science and Big Data Concentration

• You have three options for completing your required capstone experience: A comprehensive examination, a project, or a thesis. 
• The Data Science and Big Data concentration can be obtained with careful selection of appropriate elective courses, not requiring any additional courses beyond the regular MS requirements.

Careers for Your MASTER’S IN COMPUTER SCIENCE, DATA SCIENCE AND BIG DATA

The Data Science and Big Data concentration will be an official degree designation that is shown on your transcript, indicating that you have studied key courses in this in-demand field.

After graduation, you can expect to either enter a PhD program, leading to a career in academia, or to receive employment as a:

• Data Analyst
• Data Scientist
• Software Developer
• Web Developer
• Computer System Analyst
• Data Engineer

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