- Programs Overview
- Admissions and Aid
- About Us
- Research
- Research Labs and Funded Projects
- Genomics Lab
- SACS Cybersecurity Research Center
- SACS X-Trust CPS Lab
- SACS Saha RESONANCE Lab
- SACS Mixed Extended-Reality and Twin Research and Immersive X-Systems (METRIX) Lab
- Population Health Informatics and Disparities Research Lab (PHIDL)
- Intelligent Cognitive Profiling Lab (ICP)
- Geographic Information Systems and Visualization Lab
- Data-driven Intelligence and Security for Cyber-physical Systems (DISCS) Lab
- Clinical Trials and Outcomes Innovation Lab
- SACS Cyber-AI for Sustainable Planetary Ecosystem Resilience (CASPER)
- CAP: Capacity Building for Trustworthy AI in Medical Systems (TAIMS)
- Maternal Health Informatics and Disparities (HRSA Grant UR650342)
- Collaborate with us
- Advanced Computing and Analytics Laboratory
- Student Research Opportunities
- Faculty Grant Proposals
- Research Services
- Research Labs and Funded Projects
- Resources
- Departments
Education
The SACS curriculum emphasizes artificial intelligence, machine learning and other advanced computing and data science methods essential to cybersecurity assurance. The following programs, driven by extensive faculty research activity, are important to developing a workforce that can address evolving cybersecurity challenges.
The M.S. in Data Science program offers a comprehensive curriculum covering machine learning, data collection, statistical inference and data visualization and how to effectively communicate findings.
The M.S. Computer Science program integrates artificial intelligence, software engineering, cybersecurity, data science, with high-performance and quantum computing to prepare students for future, innovative careers in tech.
Focusing on applications to healthcare, the M.S. Artificial Intelligence program seeks to equip students with advanced knowledge and skills in AI techniques, including machine learning, deep learning, natural language processing, and computer vision.
A healthcare focused program that integrates artificial intelligence with courses in advanced computing, data privacy and other technical, analytical and ethical concepts.
Related Courses
The following courses provide preparation for student research related to work in the SACS Cybersecurity Research Center:
M.S. Cybersecurity Assurance courses
MSCA 525 – Introduction to Cybersecurity
MSCA 550 – Digital Forensics and Ethical Hacking
MSCA 560 – Distributed Systems and Network Security
MSCS 580 – Advanced Analysis of Algorithms
MSDS 515 – Data conscientiousness
MSDS 525 – Data Management Foundations for Data Science
MSDS 535 – Further Mainstream Programming Languages for Data Science
MSDS 545 – Introduction to Computational Software Engineering
MSDS 555 – Big Data Management and Analytics
MSDS 560 – Natural Language Processing
MSDS 570 – Visualization and Unstructured Data Analytics
MSDS 575 – Ethics in Data Science
MSDS 580 – Research Methods
MSDS 590 Capstone
MSDS 655- AI in Cybersecurity
MSDS 736 – Ethical, Legal, & Societal Issues in Healthcare
MSDS 740 – Big Data Privacy & Security
Ph.D. Biomedical Data Science courses
MSBD 740 – Privacy and Security in Healthcare
- Programs Overview
- Admissions and Aid
- About Us
- Research
- Research Labs and Funded Projects
- Genomics Lab
- SACS Cybersecurity Research Center
- SACS X-Trust CPS Lab
- SACS Saha RESONANCE Lab
- SACS Mixed Extended-Reality and Twin Research and Immersive X-Systems (METRIX) Lab
- Population Health Informatics and Disparities Research Lab (PHIDL)
- Intelligent Cognitive Profiling Lab (ICP)
- Geographic Information Systems and Visualization Lab
- Data-driven Intelligence and Security for Cyber-physical Systems (DISCS) Lab
- Clinical Trials and Outcomes Innovation Lab
- SACS Cyber-AI for Sustainable Planetary Ecosystem Resilience (CASPER)
- CAP: Capacity Building for Trustworthy AI in Medical Systems (TAIMS)
- Maternal Health Informatics and Disparities (HRSA Grant UR650342)
- Collaborate with us
- Advanced Computing and Analytics Laboratory
- Student Research Opportunities
- Faculty Grant Proposals
- Research Services
- Research Labs and Funded Projects
- Resources
- Departments