Worcester Polytechnic Institute

150 Programs 4 Degree levels
Masters

Computer Science MS

DegreeMasters
FieldComputer Science
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Cost & earnings at Worcester Polytechnic Institute What students borrow here, and what they go on to earn

You borrow $27,000 median federal debt
You repay $307/mo over 10 years
Graduates earn $103,470 10 yrs after entry
Debt clears in 0.4 yrs of the salary premium
US Department of Education figures See the full breakdown →
A

Computer Science graduates earn a median $94,408 Across 302 US programmes, two years after finishing

See the degree grade →

The Master of Science in Computer Science at Worcester Polytechnic Institute is a technically rigorous programme that combines advanced coursework with project-based learning to prepare students for industry roles or further research. It suits graduates with a solid computing background who want to deepen expertise in areas such as software engineering, data science, artificial intelligence, cybersecurity or systems design.

What you'll study

The MS in Computer Science at WPI emphasises advanced theory and practical application through a flexible curriculum of core and elective courses alongside a substantial culminating experience. Core topics commonly covered include algorithms and data structures, operating systems, software engineering, databases, and machine learning. Electives allow specialisation across areas such as artificial intelligence, data science, computer networks, cybersecurity, human–computer interaction, robotics, and distributed systems.

Students typically choose between several culminating options: a research thesis for those pursuing graduate research or doctoral study, a project-based requirement that leverages WPI’s hallmark project-learning model, or a course-only option with a higher credit load in advanced topics. Coursework is supported by hands-on lab work, team projects, and opportunities to participate in faculty-led research in labs and centres focused on topics such as data analytics, trustworthy computing, and robotics.

Entry requirements

  • Academic background: A bachelor’s degree in computer science, computer engineering or a closely related discipline is normally required. Applicants with strong quantitative preparation from other fields may be considered if they demonstrate relevant computing coursework or experience.
  • Academic record: A good undergraduate record in relevant coursework (programming, discrete mathematics, data structures, algorithms) is expected; competitive applicants can demonstrate strength through transcripts and letters of recommendation.
  • Supporting materials: Official transcripts, letters of recommendation, a statement of purpose outlining academic and professional goals, and a résumé or CV are typically required.
  • English language proficiency: Applicants whose first language is not English must demonstrate proficiency through recognised tests unless exempted under the institute’s policies.
  • Additional considerations: GRE scores may be optional or considered on a case-by-case basis; relevant professional experience, portfolios, or undergraduate research can strengthen an application.

Career prospects

Graduates of WPI’s MS in Computer Science move into technical and leadership roles across industry, government and research. Typical job titles include software engineer, systems architect, data scientist, machine learning engineer, cybersecurity analyst, site reliability engineer and research engineer. The programme’s emphasis on collaborative, project-based work and applied research helps students build portfolio projects and industry connections valuable for job placement.

Alumni also progress to doctoral programmes or specialised professional certifications, and many benefit from WPI’s regional industry ties and career services when seeking internships or full-time positions in technology hubs across New England and beyond.

Why study at Worcester Polytechnic Institute

  • Project-based learning: WPI is known for its project-centric pedagogy; MS students gain practical experience through substantial team projects and opportunities to work on global and community-focused projects.
  • Research opportunities: Access to active research groups and centres in areas such as data science, cybersecurity, AI and robotics allows students to work closely with faculty on cutting-edge problems.
  • Industry connections: Strong links with regional industry and a dedicated career centre provide pathways to internships, co-op experiences and employment with technology companies, startups and research organisations.
  • Hands-on facilities: Modern laboratories, computing resources and maker spaces support experimentation, prototyping and large-scale software development.
  • Size and support: A relatively compact graduate community enables personalised mentorship from faculty and advising tailored to academic and career goals.

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