New York Institute of Technology

USA
2 Scholarships 54 Programs 3 Degree levels
Masters

Master's in Computer and Information Sciences

DegreeMasters
FieldComputer and Information Sciences, General.
B

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

You borrow $23,334 median federal debt
You repay $265/mo over 10 years
Graduates earn $70,080 10 yrs after entry
Debt clears in 0.8 yrs of the salary premium
US Department of Education figures See the full breakdown →

The Master’s in Computer and Information Sciences at New York Institute of Technology is an advanced, professionally oriented programme that develops technical expertise across core computing areas such as algorithms, databases, machine learning, cybersecurity and software engineering. It suits graduates and early-career professionals seeking to deepen their technical skills, move into specialised computing roles, or prepare for research or doctoral study.

What you'll study

This master's programme combines core coursework, elective specialisations and a culminating project or thesis. Core topics typically include advanced algorithms and data structures, database systems and information management, software engineering principles, operating systems and computer networks. Students also study practical and contemporary areas such as machine learning and artificial intelligence, cybersecurity and information assurance, cloud and distributed systems, and big data analytics.

Most students follow a mix of required courses and electives, allowing concentration in areas such as data science, network and systems security, cloud computing, human–computer interaction or software development. The programme emphasises hands-on learning through laboratory work, team projects and a substantial capstone — either a research thesis or an industry-oriented practicum — that demonstrates integration of technical knowledge and problem-solving abilities.

  • Advanced Algorithms and Analysis
  • Database Systems and Information Retrieval
  • Machine Learning and Data Mining
  • Cybersecurity Principles and Practices
  • Cloud Computing and Distributed Systems
  • Software Engineering and Project Management
  • Electives: HCI, Mobile and Web Development, IoT, Natural Language Processing
  • Capstone Project or Thesis

Entry requirements

Applicants are expected to hold a recognised bachelor’s degree in computer science, information systems, engineering or a closely related discipline. Candidates with strong quantitative skills and relevant professional experience but from different academic backgrounds may be considered; such applicants could be asked to complete preparatory courses in programming, discrete mathematics or data structures before or during the programme.

Admission typically requires evidence of a solid academic record, a personal statement outlining goals and experience, and one or more letters of recommendation. International applicants must demonstrate English-language proficiency through an accepted test or equivalent evidence of study in English. Professional experience in software development, IT operations or analytics can strengthen an application, particularly for project-based or practicum tracks.

Career prospects

Graduates of the programme move into a wide range of technical and leadership roles across industry, government and research. Common job titles include software engineer, data scientist or analyst, systems architect, cybersecurity analyst or engineer, cloud engineer, and IT project manager. The technical breadth of the degree also supports roles in research and development and provides a solid foundation for those who wish to pursue a PhD.

Graduates typically work in sectors such as finance, healthcare, technology, defence, telecommunications and media, and can progress from hands-on engineering roles to senior technical leadership, product management or specialist consultancy positions. The programme’s applied components and industry connections help students gain internship opportunities and professional networks that support career transitions and advancement.

Why study at New York Institute of Technology

New York Institute of Technology offers a practical, career-focused computing education with access to modern labs, research centres and industry partnerships. The institute’s locations provide proximity to a broad technology ecosystem and business communities on Long Island and in the New York metropolitan area, creating opportunities for internships and employer engagement.

Students benefit from faculty with industry and research experience, small class sizes that support personalised mentorship, and flexible study options that can accommodate working professionals. Additional support services such as career counselling, networking events and capstone project placements help translate technical learning into tangible career outcomes.

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