Master of Science in Computer Science (Non-Thesis)

About

The Master of Science degree program in Computer Science at the University of Akron combines courses in computer science principles and practice. The program provides the student with a solid computer science background in preparation for governmental or industrial employment or for continued study at the Ph.D. level in computer science. Most full-time degree candidates admitted into the program will complete the degree requirements in two years. The thesis option requires 30 semester hours of graduate work while the non-thesis option requires 39. An MSc in Computer Science will equip you with the key skills and knowledge for you to impact the future of technological advances in computer-based systems. This course helps you to further develop your knowledge and skills within the cutting-edge areas of computer science. The course has been designed to provide you with a blend of advanced theoretical knowledge and practical skills related to emerging technologies deployed in industry and research. The course is taught and delivered by leading researchers who are actively engaged in this rapidly changing field to ensure that you're up to date with the latest developments. The flexible nature of the course will enable you to choose from a range of advanced modules that match your career ambitions. These include emerging areas such as Big Data Analytics, Artificial Intelligence & Machine Vision, Computer Security and Cloud Computing. The Computer Science MSc programme combines technical development with analytical expertise through the core modules. 

Career Path 

Graduate career path includes Software Engineer/Senior Developer, Systems Architect (Enterprise & Cloud Solutions), Machine Learning Engineer, Artificial Intelligence Specialist, DevOps Engineer Cybersecurity Analyst/Security Architect, Data Scientist/Data Engineer, Cloud Solutions Architect (AWS, Azure, Google Cloud), Full-Stack Developer (Web & Mobile Applications), Blockchain Developer/Distributed Systems Engineer, Human-Computer InteractionSpecialist, Computer Vision Engineer (Robotics, Imaging, AR/VR), Natural Language Processing (NLP) Engineer, High-Performance Computing Specialist, Game Developer/Simulation Engineer, Bioinformatics Specialist (Computational Biology, Genomics), Academic Lecturer / Researcher (Computer Science, AI, Data Science), Consultant (Technology Strategy, Systems Integration), IT Project Manager (Tech & Innovation Projects).