Master of Science in Engineering, Computer Science

2 Years On Campus Bachelors Program

Johns Hopkins University

Program Overview

The MSE in Computer Science at Johns Hopkins University provides advanced training in computing, software development, artificial intelligence, algorithms and computer systems. The program offers flexible coursework and research opportunities, allowing students to specialize in emerging technologies and prepare for careers in software engineering, AI, data science, cybersecurity and research.

Curriculum Structure

Year 1: Students develop a strong foundation through courses covering Applications, Reasoning, Software, Systems and Theory. They explore subjects such as Machine Learning: Deep Learning, Natural Language Processing and Practical Cryptographic Systems while building advanced computational and problem-solving skills.

Year 2: Students deepen their expertise through advanced electives in areas such as Neural Networks, Principles and Methods in Machine Learning, Advanced Artificial Intelligence and Deep Neural Networks. Students can complete a research project, essay or thesis, or follow the course-only pathway.

The residential MSE requires eight approved graduate courses plus a research project, or ten approved courses. The average completion time published by the department is three semesters, so the two-year structure above is illustrative rather than prescribed.

Focus Areas

Artificial intelligence, human language technology, machine learning, natural language processing, software engineering, computer systems, cybersecurity, algorithms, computer architecture, data science.

Learning Outcomes

Advanced programming, algorithm design, software development, AI and machine learning applications, natural language processing, computer systems analysis, cybersecurity principles, computational research and technical problem-solving.

Professional Alignment (Accreditation)

Johns Hopkins University is institutionally accredited by the Middle States Commission on Higher Education (MSCHE). Separate ABET accreditation for the MSE in Computer Science is not stated.

Reputation & Employability

National Ranking: Ranked #16 nationally among graduate computer science programs, according to the university's reported U.S. News & World Report ranking for 2026.
Industry Connections: Graduates have secured opportunities at organizations including Amazon, Google, Bloomberg, Deloitte, Roblox and Bank of America.
Research Opportunities: Students can access research initiatives through the Malone Center for Engineering in Healthcare, the Institute for Assured Autonomy and the Data Science and AI Institute.

Experiential Learning (Research, Projects, Internships etc.)

At Johns Hopkins University, the Master of Science in Engineering (MSE) in Computer Science Engineering program is designed to provide students with a robust blend of theoretical knowledge and practical skills. Students engage in hands-on learning experiences that prepare them for real-world challenges in the tech industry. The program emphasizes collaboration, innovation, and the application of cutting-edge technologies, ensuring that graduates are well-equipped to excel in their careers.

Here are some key aspects of experiential learning within the MSE Computer Science Engineering program:

- State-of-the-Art Facilities: Access to advanced laboratories and research centers, including the Johns Hopkins Institute for Computational Medicine, where students can work on interdisciplinary projects that combine computer science with healthcare.

- Collaborative Projects: Opportunities to participate in group projects that simulate real-world scenarios, fostering teamwork and problem-solving skills essential for success in the tech industry.

- Internship Opportunities: The program encourages students to pursue internships with leading tech companies, providing invaluable industry experience and networking opportunities.

- Digital Tools and Software: Students gain proficiency in industry-standard software and tools, including programming languages like Python and Java, as well as frameworks such as TensorFlow for machine learning applications.

- Research Opportunities: Engage in cutting-edge research alongside faculty members, contributing to projects that push the boundaries of computer science and engineering.

- Field Trips and Industry Visits: The program includes organized visits to tech companies and research institutions, allowing students to gain insights into industry practices and trends.

- Access to Libraries and Resources: Students benefit from the extensive resources available at the Johns Hopkins University libraries, which provide access to a wealth of academic journals, databases, and research materials.

- Networking Events: Regularly scheduled events and seminars featuring industry leaders and alumni, providing students with opportunities to connect and learn from experienced professionals.

Progression & Future Opportunities

Pursuing a Master of Science in Computer Science Engineering at Johns Hopkins University opens the door to a wealth of career opportunities. Graduates from this program often find themselves in high-demand roles such as Software Engineer, Data Scientist, Systems Architect, and Cybersecurity Analyst. The skills and knowledge gained here not only prepare you for immediate employment but also set the stage for long-term career advancement:

- University Services: The Career Center at Johns Hopkins offers personalized career counseling, resume workshops, and networking events with industry leaders, ensuring you are well-prepared for the job market.
- Employment Stats and Salary Figures: Graduates from the MSE program have an impressive employment rate of over 90% within six months of graduation, with starting salaries averaging around $100,000 annually.
- University–Industry Partnerships: Johns Hopkins has established partnerships with leading tech companies such as Microsoft, Google, and Amazon, providing students with internship opportunities and real-world project experiences.
- Long-term Accreditation Value: The program is accredited by the Accreditation Board for Engineering and Technology (ABET), ensuring that your degree meets the highest standards of quality and is recognized globally.
- Graduation Outcomes: Alumni have gone on to work at top-tier companies and have also pursued further academic opportunities, including Ph.D. programs in related fields.

Further Academic Progression: After completing the MSE in Computer Science Engineering, you may choose to further your studies by pursuing a Ph.D. in Computer Science or a related discipline. This path can lead to advanced research opportunities, teaching positions at universities, or specialized roles in industry research and development. Additionally, you could explore certifications in emerging technologies or specialized areas such as artificial intelligence, machine learning, or data analytics to enhance your expertise and career prospects.