Georgia Southern University

USA
1 Scholarships 97 Programs 3 Degree levels
Masters

Master's in Computer and Information Sciences

DegreeMasters
FieldComputer and Information Sciences, General.
D

Cost & earnings at Georgia Southern University What students borrow here, and what they go on to earn

You borrow $23,250 median federal debt
You repay $264/mo over 10 years
Graduates earn $53,236 10 yrs after entry
Debt clears in 1.7 yrs of the salary premium
US Department of Education figures See the full breakdown →

The Master of Science in Computer and Information Sciences at Georgia Southern University is a graduate programme that develops advanced technical knowledge and applied skills across data, systems, security and human-centred information technologies. It suits graduates and professionals seeking career advancement or research preparation in information management, data science, cybersecurity, software engineering and related fields.

What you'll study

The programme combines core theory with applied practice in computing and information disciplines. Students study topics such as databases and information retrieval, data mining and analytics, software engineering and systems design, cybersecurity principles, cloud and distributed systems, and human–computer interaction. Emphasis is placed on practical skills: common modules cover database management, algorithms and data structures, systems analysis and design, machine learning fundamentals, information assurance, and programming for scalable systems.

Students typically follow either a coursework route with a capstone practicum/project or a research route culminating in a thesis. Elective options allow specialisation in areas such as data science, network security, information architecture, or enterprise application development. The programme includes coursework in research methods and professional practice to prepare students for industry roles or doctoral study.

Entry requirements

Applicants are expected to hold a bachelor’s degree from an accredited institution, preferably in computer science, information systems, engineering, mathematics or a closely related discipline. Applicants with degrees in other fields who can demonstrate substantial computing or quantitative coursework and/or relevant professional experience may also be considered.

Typical application materials include official transcripts, a statement of purpose outlining academic and professional goals, letters of recommendation, and a current CV or résumé. Some applicants may be asked to provide GRE scores where required by the department. International applicants must show evidence of English language proficiency and provide certified academic credentials in line with university regulations.

Career prospects

Graduates are prepared for a broad range of technical and leadership roles across public and private sectors. Common job titles include data analyst, data scientist, systems analyst, software developer, information security analyst, IT project manager and information architect. The programme’s applied project and practicum options also prepare students for roles in enterprise IT, cloud services, cybersecurity operations, user experience and research positions leading to doctoral study.

Alumni find opportunities in sectors such as health care, finance, education, government, defence, and technology services, as well as with regional industry partners and startups. The combination of theoretical foundation and hands-on project experience supports career changes for professionals moving into information-oriented roles.

Why study at Georgia Southern University

Georgia Southern offers the programme within an environment that balances rigorous academics with applied learning. Students benefit from access to departmental computing labs, research-active faculty, and options for project-based learning or thesis research. Multiple campus locations and connections with regional employers provide opportunities for internships, practicum placements and collaboration with local industry.

The university emphasises small-class engagement and faculty mentorship, which supports students developing specialised skills and research portfolios. For those seeking a research pathway, faculty expertise spans areas such as data analytics, cybersecurity, human–computer interaction and software engineering, enabling tailored supervision and project choices. The programme is designed to be flexible for full-time and part-time students, supporting both early-career graduates and experienced professionals.

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Programme details are indicative and may change — always verify current information with the official university website before applying.