Kent State University

What you'll study

The master's in Applied Computer Science combines advanced coursework with project-based learning. Students take core modules that cover fundamental areas such as algorithms and data structures, operating systems, database systems, and software engineering. Elective options allow specialisation in topics such as machine learning and artificial intelligence, data analytics, computer networks, cybersecurity, human–computer interaction, cloud computing, and mobile or web application development.

The programme typically offers both thesis and non-thesis options, with the non-thesis pathway emphasising a practicum or capstone project that applies theory to an industry-relevant problem. Common module examples include:

• Advanced Algorithms and Data Structures — design and analysis of efficient algorithms and complexity considerations.
• Software Engineering and Project Management — software design patterns, lifecycle models, testing and collaborative development.
• Databases and Information Retrieval — relational and non-relational systems, query optimisation, and data modelling.
• Computer Networks and Security — network architectures, protocols, and foundational cybersecurity principles.
• Machine Learning and Data Mining — supervised and unsupervised methods, feature engineering, and model evaluation.
• Systems Programming and Operating Systems — concurrency, memory management, and low-level system design.
• Capstone/Thesis — either a supervised research thesis or an applied project addressing a practical computing challenge.

Entry requirements

Applicants are normally expected to hold a bachelor's degree in computer science, software engineering or a closely related discipline. Candidates with degrees in other fields may be considered if they demonstrate sufficient programming and mathematical background through prior coursework or professional experience.

Typical application materials include academic transcripts, a personal statement outlining objectives and relevant experience, a current CV or résumé, and letters of recommendation. International applicants must meet the university's English language proficiency requirements. Some applicants may be required to complete prerequisite undergraduate courses if their background lacks essential computing fundamentals.

Career prospects

Graduates of the Applied Computer Science master's develop skills that prepare them for a wide range of technical roles. Common career paths include software engineer, systems architect, data analyst or data scientist, cybersecurity analyst, network engineer, DevOps/SRE roles, and application developer. The programme’s applied focus and capstone option are particularly useful for those aiming to move directly into industry roles that demand practical development and project-delivery experience.

Alumni also pursue further research or doctoral study, or take on technical leadership roles such as technical product manager or engineering lead after gaining professional experience.

Why study at Kent State University

Kent State’s Computer Science department offers a balance of theoretical foundations and applied learning, supported by faculty active in teaching and research across areas such as machine learning, cybersecurity and software engineering. The university provides access to computing facilities, research labs and collaborative projects with regional industry partners, giving students opportunities for internships and applied research.

Students benefit from smaller class sizes in graduate courses, advising tailored to career goals, and campus services that support professional development and job placement. The programme is available in formats that consider working professionals’ needs, and the broader university environment provides interdisciplinary collaboration with departments such as information systems, engineering and the sciences.