Florida State University

What you'll study

The programme combines core computer science foundations with elective specialisations, allowing students to tailor their studies to interests such as artificial intelligence and machine learning, data science and big data analytics, software engineering, human–computer interaction, and cybersecurity. Course work typically covers advanced algorithms, operating systems, database systems, software development practices, computational theory, and applied machine learning. Students choose between thesis and non-thesis (project or coursework) tracks; the thesis track emphasises original research under faculty supervision, while the non-thesis track focuses on advanced coursework and a practicum or capstone project.

• Core and foundational modules: Advanced Algorithms, Operating Systems, Database Systems, Software Engineering Principles.
• Common electives / specialisations: Machine Learning, Natural Language Processing, Data Mining, Big Data Systems, Computer Vision, Network Security, Secure Systems Design, Human–Computer Interaction.
• Research and project work: Thesis research under a faculty advisor for students on the research track; industry-aligned capstone projects or practicum placements for coursework-track students.
• Skills developed: Advanced programming and software design, statistical and computational data analysis, research methodology, system architecture, cybersecurity practices, and technical communication.

Entry requirements

Applicants are expected to hold a bachelor’s degree in computer science, information science, engineering, mathematics or a closely related field from an accredited institution. Candidates who lack a directly relevant undergraduate degree may be considered if they can demonstrate sufficient preparation through prior coursework or professional experience in programming, discrete mathematics, data structures and algorithms.

• Transcripts demonstrating a competitive academic record in quantitative and computing subjects.
• Letters of recommendation, typically from academic or professional referees who can speak to the applicant’s technical ability and potential for graduate study.
• A statement of purpose outlining research or professional goals and alignment with faculty expertise or programme strengths.
• A résumé or CV detailing relevant coursework, projects, internships or work experience.
• International applicants are usually required to demonstrate English language proficiency through an approved test unless exempt by prior study in English; some applicants may be asked to submit GRE scores where relevant to the department’s evaluation process.

Career prospects

Graduates from this programme are prepared for technical and leadership roles across industry, government and research. Common career paths include software engineer, data scientist, machine learning engineer, systems architect, security analyst, and user experience researcher. Those who complete the thesis track and demonstrate strong research capability often continue to doctoral study or research scientist roles in labs and academia. The programme’s combination of theoretical foundations and practical project experience also supports entrepreneurship and technical management positions within technology-focused organisations.

Why study at Florida State University

Florida State University offers a computer and information sciences programme situated within an active research environment with faculty working across a broad range of computing disciplines. Students benefit from access to research centres, computing facilities and opportunities for interdisciplinary collaboration across areas such as analytics, engineering and the arts. The department emphasises mentorship and close faculty interaction, enabling students to pursue tailored research projects or industry-relevant capstones. Located in a city with a growing technology and research ecosystem, the university provides connections to internships, local employers and a network of alumni in technical fields.