Graduate Certificates
The School of Computing offers graduate certificates that provide focused, graduate-level education in specialized areas of computing. Designed for graduate students and working professionals, these certificates allow students to build expertise in high-demand fields while earning a Clemson University credential.
Why earn a graduate certificate?
- Focused graduate-level certificates in high-demand areas of computing
- Designed for students and working professionals
- Flexible graduate coursework
- Supports career advancement and professional development
- Offered through Clemson University’s School of Computing
Artificial Intelligence Certificate
The Graduate Certificate in Artificial Intelligence prepares students to design, develop, and evaluate intelligent systems using modern AI and machine learning techniques. Through graduate coursework in artificial intelligence, machine learning, advanced machine learning, and deep learning, students gain both theoretical knowledge and practical skills applicable to a wide range of industries, including manufacturing, healthcare, finance, robotics, and autonomous systems.
- Ideal for: Software engineers, data scientists, engineers, working professionals, graduate students
- Potential career paths: AI engineer, machine learning engineer, data scientist, robotics engineer, research scientist
Cybersecurity Certificate
The Graduate Certificate in Cybersecurity provides advanced training in protecting computing systems, networks, and information from evolving cyber threats. Students develop expertise in computer security principles while tailoring the program through electives in privacy, secure networking, malware analysis, and emerging cybersecurity technologies. Students who complete the cybersecurity certificate will be prepared for security roles in the public and private sectors or can continue in their graduate studies to conduct cutting-edge research in this rapidly changing field.
- Ideal for: Security analysts, network engineers, software developers, IT professionals, graduate students
- Potential career paths: Cybersecurity analyst, security engineer, cloud security engineer, threat analyst, information security specialist
MSCS Ready Graduate Preparation Program
The MSCS Ready Graduate Preperation Program is a cohort-based program begining each fall designed for students without an undergraduate degree in computer science who wish to pursue Clemson's Master of Science in Computer Science. Through a structured sequence of six foundational modules, students build the programming and computer science background necessary to begin graduate study. Students who successfully complete the sequence are prepared to transition into the M.S. in Computer Science program.
- Ideal for those who:
- Do not hold an undergraduate degree in computer science
- Want to pursue Clemson's M.S. in Computer Science
- Need foundational coursework before beginning graduate study
Contact
For additional information about graduate certificates in the School of Computing, email mscs@clemson.edu.
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Artificial Intelligence Certificate Requirements
General
- 12 graduate credit hours
- Four graduate courses
- 6 credits at the 6000 level
- 6 credits at the 8000 level
- Collaboration between Computing, AUE, and ME
Required Courses
- CPSC 6420 Artificial Intelligence
- CPSC 6430 Machine Learning
- CPSC 8420 Advanced Machine Learning
- CPSC 8430 Deep Learning
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Cybersecurity Certificate Requirements
General
- 12 graduate credit hours
- Four graduate courses
- CPSC 6200 required
- Three electives
- Minimum 6 credits at the 8000 level
Required Courses
- CPSC 6180 Usable Privacy and Security
- CPSC 8570 Security in Advanced Networking
- CPSC 8580 Security in Emerging Computing and Networking
- CPSC/ECE 8830 Malware Reverse Engineering
- CPSC/ECE 8860 DDoS Attacks
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MSCS Ready Graduate Preparation Program
Program Highlights
- Cohort-based program beginning each fall
- Designed for students without a computer science background
- Six instructional modules (12 total credit hours)
- Hybrid delivery with synchronous and asynchronous instruction
- Hands-on, supportive learning environment
- Certificate awarded upon successful completion
Curriculum
Year 1
- Fall
- CPSC 7010 Procedural Programming
- CPSC 7020 Object-Oriented Programming
- Spring
- CPSC 7030 Discrete Structures
- CPSC 8120 Data Structures and Algorithms
Year 2
- Fall
- CPSC 8130 Digital Foundations (formerly Computer Organization)
- CPSC 8140 Systems and Networks (formerly Operating Systems)
If you are interested in the MSCS Ready certificate, you must reach out to mscs@clemson.edu to begin the admission process.
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FAQ
How many courses are required?
- Students complete four graduate courses (12 credit hours), including coursework in Artificial Intelligence, Machine Learning, Advanced Machine Learning, and Deep Learning.
Who is this certificate designed for?
- The certificate is designed for graduate students, engineers, software developers, data scientists, and working professionals who want to develop advanced knowledge in artificial intelligence and machine learning.
Can I complete the certificate while working full time?
- The certificate is designed to provide focused graduate coursework that can support working professionals. Students should consult the course schedule and program coordinator to determine the best enrollment plan for their needs.
Can certificate courses count toward a graduate degree?
- Students interested in applying certificate coursework toward a graduate degree should consult the Graduate School and the School of Computing regarding applicable policies and degree requirements.
How do I learn more?
- For additional information about graduate certificates in the School of Computing, email mscs@clemson.edu.
