Boise State University

What you'll study

This programme combines core computer science principles with applied, hands-on coursework and project work. Students follow a curriculum that typically covers advanced algorithms, operating systems, computer architecture, software engineering, databases and data management, and machine learning. Elective and specialised modules allow deeper study in areas such as cybersecurity, data analytics and mining, artificial intelligence, embedded and real-time systems, high-performance computing, networking and distributed systems.

Programmes generally offer both thesis (research) and non-thesis (project or coursework) options. Research-track students work closely with faculty on an independent research project and a written thesis, while professional-track students complete advanced coursework and a substantial applied project or capstone. Practical components include lab-based assignments, team software development, data-driven projects and opportunities to use campus computing resources for experiments and large-scale processing.

Entry requirements

• A recognised bachelor’s degree in computer science, computer engineering or a closely related discipline. Candidates with strong quantitative backgrounds from other fields may be considered, but may need to complete prerequisite undergraduate coursework in programming, data structures and discrete mathematics.
• A competitive academic record demonstrating readiness for graduate-level study. Applicants must submit official transcripts.
• Supporting materials including a statement of purpose describing academic and career goals, a curriculum vitae or résumé, and letters of recommendation from academic or professional referees.
• Evidence of English language proficiency for applicants whose first language is not English; acceptable tests and minimum scores are specified by the university.
• Some applicants with relevant professional experience but without a traditional background in computer science may be admitted conditionally and required to complete bridge courses before fully entering the programme.

Career prospects

Graduates are prepared for technical and leadership roles across the technology sector. Common career paths include software engineer or developer, data scientist or analyst, machine learning engineer, cybersecurity analyst, systems or network engineer, embedded systems developer and devops or cloud engineer. The applied nature of the programme also supports transitions into product engineering, technical project management and roles in industries such as healthcare, finance, manufacturing and government technology.

For those interested in further study, the thesis option provides preparation for doctoral programmes or research positions in industry research labs. Graduates often move into roles that combine software development with data-driven decision-making and systems-level engineering.

Why study at Boise State University

• Applied focus: Boise State emphasises practical, hands-on learning with opportunities for project-based coursework, capstone projects and collaboration with faculty on applied research.
• Faculty and research areas: Students can work with faculty across strengths such as artificial intelligence, cybersecurity, data science, embedded systems and high-performance computing.
• Industry connections: Boise has a growing regional technology sector and the university maintains ties with local and regional employers, creating internship and employment opportunities for students.
• Resources and facilities: The department provides access to modern computing labs, cluster and cloud resources, and software development infrastructure to support coursework and research.
• Flexible programme options: With thesis and non-thesis tracks, full-time and part-time study possibilities, the programme accommodates students aiming for industry careers as well as those preparing for further research.
• Support for graduates: Career services, networking events and connections with alumni and local employers help students transition from study to professional roles.