Master of Applied Computing

2 Years On Campus Masters Program

Clemson University

Program Overview

Clemson University's Master of Applied Computing prepares students from diverse academic backgrounds for advanced careers in the computing and technology industries. The program combines foundational computer science training with specialized graduate coursework, enabling students to develop practical programming, analytical and problem-solving skills while focusing on areas such as artificial intelligence, cybersecurity, data science, human-computer interaction, software engineering or visual computing.

Curriculum Structure

Year 1:
Students begin by developing essential computer science knowledge through the MSCS Ready sequence, which consists of six modules covering programming, data structures, algorithms and computer systems. Key modules include CPSC 7010 – Procedural Programming, CPSC 7020 – Object-Oriented Programming and CPSC 7030 – Data Structures and Algorithms. This foundation helps students understand programming concepts, computational problem-solving and the fundamentals of modern computer systems.

Year 2:
Students advance into specialized graduate coursework through one of six available tracks, developing expertise in their selected computing field. For example, students in the Artificial Intelligence and Machine Learning track can study CPSC 6420 – Artificial Intelligence, CPSC 6430 – Machine Learning: Implementation and Evaluation and CPSC 8430 – Deep Learning. Other tracks provide advanced study in cybersecurity, data science, human-computer interaction, software engineering and visual computing. Students complete at least 15 credits of track-specific courses and additional approved graduate coursework to meet the 42-credit-hour degree requirement.

Focus Areas

Artificial Intelligence and Machine Learning, Cybersecurity, Data Science, Human-Computer Interaction, Software Engineering, Visual Computing.

Learning Outcomes

Develop procedural and object-oriented programming skills, analyze data structures and algorithms, understand computer hardware and software components, formulate computational problems, select appropriate algorithms and programming tools, design and test computer-based solutions, apply advanced computing techniques to specialized fields, evaluate software systems and demonstrate effective technical problem-solving abilities.

Professional Alignment (Accreditation)

Clemson University's Master of Applied Computing emphasizes practical computing knowledge and professional skills through foundational training and advanced specialization. The program's coursework develops competencies in software development, algorithm design, data analysis, cybersecurity and intelligent computing systems. Its interdisciplinary structure allows graduates from different academic backgrounds to transition into technology-focused careers. No separate professional accreditation is specified for the MAC program on the official university page.

Reputation (Employability Rankings)

Clemson University's School of Computing provides students with access to a research-oriented academic environment and advanced computing resources. One notable facility is the Palmetto Cluster, a high-performance computing system with more than 23,000 CPU cores, which supports computational research and advanced technology projects. Through its six specialized tracks and practical graduate coursework, the program prepares students for career opportunities in software development, artificial intelligence, data analytics, cybersecurity, user-experience technology and visual computing.

Experiential Learning (Research, Projects, Internships etc.)

At Clemson University, the Master of Applied Computing program is designed to provide students with hands-on experience that bridges the gap between theoretical knowledge and real-world application. Students engage in practical projects, collaborate with peers, and utilize state-of-the-art facilities and tools that prepare them for successful careers in computing. The program emphasizes experiential learning through various opportunities that enhance technical skills and foster innovation.

Here are some key aspects of experiential learning in the Master of Applied Computing program:

- Collaborative Projects: Students work on group projects that simulate real-world challenges, allowing them to apply their skills in a team environment.
- Internship Opportunities: The program encourages internships with industry partners, providing students with valuable work experience and networking opportunities.
- Access to Advanced Software: Students gain proficiency in industry-standard software tools, including Python, R, and various data analysis and machine learning platforms.
- Research Laboratories: Clemson boasts dedicated research labs equipped with cutting-edge technology, where students can engage in innovative research projects.
- Field Trips and Industry Visits: The program includes field trips to local tech companies and organizations, giving students insights into industry practices and trends.
- Digital Tools and Resources: Students have access to a range of digital tools and resources, including cloud computing platforms and collaborative software, to enhance their learning experience.
- Clemson Libraries: The university's libraries provide extensive resources, including databases and journals, to support research and coursework.

Progression & Future Opportunities

The Master of Applied Computing at Clemson University equips graduates with the skills and knowledge needed to excel in a rapidly evolving tech landscape. With a strong emphasis on practical applications, graduates often find themselves in high-demand roles such as Software Developer, Data Analyst, and IT Project Manager. The program not only prepares students for immediate employment but also lays a solid foundation for long-term career growth:

- Career Services: Clemson offers robust career services, including resume workshops, interview preparation, and networking events that connect students with industry professionals.
- Employment Statistics: The program boasts an impressive employment rate, with over 90% of graduates securing jobs within six months of graduation, often with starting salaries averaging around $80,000.
- University–Industry Partnerships: Clemson has established partnerships with leading tech companies such as IBM and Microsoft, providing students with internship opportunities and real-world project experience.
- Accreditation Value: The program is accredited by the Computing Accreditation Commission of ABET, ensuring that the curriculum meets high standards of quality and relevance in the field.
- Graduation Outcomes: Alumni have gone on to work for top firms in various sectors, demonstrating the program's effectiveness in preparing students for successful careers.

Further Academic Progression: After completing the Master of Applied Computing, students have the option to pursue a Ph.D. in Computer Science or related fields, allowing them to delve deeper into research and academia. Additionally, graduates may choose to specialize further by obtaining certifications in areas such as data science, cybersecurity, or artificial intelligence, enhancing their expertise and marketability in the tech industry.