Georgia Institute of Technology

USA
1 Scholarships 109 Programs 3 Degree levels
Masters

Master's in Computer

DegreeMasters
FieldComputer/Information Technology Administration and Management.
A

Cost & earnings at Georgia Institute of Technology What students borrow here, and what they go on to earn

You borrow $21,672 median federal debt
You repay $246/mo over 10 years
Graduates earn $102,772 10 yrs after entry
Debt clears in 0.3 yrs of the salary premium
US Department of Education figures See the full breakdown →
A

Information Technology Management graduates earn a median $85,465 Across 287 US programmes, two years after finishing

See the degree grade →

This master's-level programme in Computer (Information Technology) at Georgia Institute of Technology prepares students to apply advanced computing principles to real-world IT problems, combining core computer science foundations with specialised topics such as networking, cloud systems, cybersecurity and data analytics. It suits applicants with a technical undergraduate background who seek careers in software engineering, systems design, research or IT leadership in industry or government.

What you'll study

  • Core foundations: advanced algorithms, operating systems, computer architecture and software engineering to consolidate a rigorous computer science base for IT work.
  • Systems and infrastructure: high-performance and distributed systems, cloud computing, storage systems and network design, emphasising scalability and reliability.
  • Data and analytics: databases, big data systems, machine learning and applied data analytics relevant to IT decision-making and service delivery.
  • Security and privacy: network security, applied cryptography, intrusion detection and secure software practices for protecting information systems.
  • Human-centred and applied topics: human–computer interaction, software project management, IT service management and usability for deployment in enterprise contexts.
  • Project or research component: many students complete a substantial capstone project or research thesis, working with faculty or industry partners to build deployable systems or investigate applied research questions.
  • Electives and specialisms: depending on interests, students may focus on areas such as networking, cloud-native development, cybersecurity, data engineering, visualisation or machine learning systems.

Entry requirements

  • Bachelor's degree in computer science, information systems, engineering or a closely related technical discipline from a recognised institution.
  • Strong academic record demonstrating proficiency in programming, discrete mathematics and fundamental computing concepts. Relevant coursework or professional experience can strengthen applications from non-traditional backgrounds.
  • Application materials typically include official transcripts, a statement of purpose outlining academic and professional goals, an up-to-date CV or résumé, and letters of recommendation from academic or professional referees.
  • Standardised tests and English language requirements vary by programme and applicant background; consult the graduate admissions pages for current policies and acceptable evidence of English proficiency.
  • Relevant industry experience and demonstrated project work or open-source contributions can be advantageous, particularly for competitive specialisms or funded positions.

Career prospects

  • Graduates enter roles such as software engineer, systems or cloud architect, site reliability engineer, data engineer and machine learning engineer within technology companies, startups and established enterprises.
  • Security-focused alumni progress to positions like cybersecurity analyst, incident responder, penetration tester and security engineer in private and public sector organisations.
  • Other pathways include IT consultancy, product management and technical leadership roles where graduates translate technical solutions into business value.
  • For those interested in research and academia, the programme provides a pathway to doctoral study or research positions in industrial labs, particularly when combined with a thesis and faculty collaboration.

Why study at Georgia Institute of Technology

  • Strong computing reputation: the College of Computing is widely recognised for its rigorous curriculum and research output, providing exposure to cutting-edge topics and methodologies.
  • Research and lab opportunities: students can engage with established research groups and centres, collaborating on projects in areas such as networking, cybersecurity, machine learning and human-computer interaction.
  • Industry connections and location: Georgia Tech's long-standing relationships with technology companies and its location in a major metropolitan tech hub give access to internships, co-op opportunities and employer recruiting.
  • Practical, project-based learning: emphasis on capstone projects and industry-aligned coursework helps students build a portfolio of practical systems and applications valued by employers.
  • Alumni network and career support: graduates benefit from an active alumni community and dedicated career services that support transition into industry, entrepreneurship and research roles.

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