MS Computer Science

2 Years On Campus Masters Program

University of California Los Angeles

Program Overview

The Master of Science in Computer Science (MS CS) at the University of California, Los Angeles (UCLA) is designed for students seeking advanced knowledge and practical expertise in modern computing technologies. The program allows students to customize their studies across areas such as artificial intelligence, data science, computer systems, graphics, and software engineering, preparing them for technical and research-oriented careers.

Curriculum Structure

First Year: Students develop advanced computer science knowledge through graduate-level coursework and select subjects according to their academic interests and career goals. The curriculum encourages a strong foundation in areas such as Algorithms and Complexity, Operating Systems, and Computer Network Fundamentals, alongside advanced coursework in their chosen specialization. Students also complete the required computer science breadth requirements and work with faculty advisers to plan their academic pathway.

Second Year: Students deepen their technical expertise through specialized graduate courses and complete their chosen degree pathway. Under Plan I (Thesis), students undertake independent research and complete two CS 598 thesis courses, while Plan II (Capstone) focuses on advanced coursework and a student-driven capstone project. Both pathways require nine courses, with the program typically completed over approximately two years.

Focus Areas: Artificial Intelligence, Computational Systems Biology, Computer Science Theory, Computer Systems Architecture, Data Science Computing, Graphics and Vision, Network Systems, Software Systems.

Learning Outcomes: Develop advanced programming and computational skills, analyze complex computing problems, design efficient algorithms and software systems, apply artificial intelligence and data science techniques, conduct independent technical research, and develop practical solutions to real-world computing challenges.

Professional Alignment (Accreditation): The MS in Computer Science is offered by UCLA's Henry Samueli School of Engineering and Applied Science through its Department of Computer Science. The university's published program information does not specify a separate programmatic accreditation for this master's degree.

Reputation (Employability Rankings): UCLA is internationally recognized for its academic and research excellence. According to the university's Computer Science Department, UCLA's engineering program, which includes Computer Science, earned a Top 10 ranking in the 2026 U.S. News rankings. The department also highlights its connections to major technology and research ecosystems, including Silicon Beach and Silicon Valley, offering students valuable opportunities to engage with the technology industry.

Experiential Learning (Research, Projects, Internships etc.)

At UCLA, the MS in Computer Science program is designed to provide students with a rich blend of theoretical knowledge and practical skills that are essential in today’s tech-driven world. The program emphasizes experiential learning, allowing students to engage in hands-on projects, collaborate with peers, and utilize state-of-the-art facilities and tools. This approach not only enhances understanding but also prepares students for real-world challenges in the tech industry.

Here are some key aspects of experiential learning in the MS Computer Science program at UCLA:

- Research Laboratories: Students have access to specialized labs such as the UCLA Vision Lab and the UCLA Center for Embedded Networked Sensing, where they can work on cutting-edge research projects.

- Group Projects: Collaborative projects are a core component of the curriculum, encouraging teamwork and problem-solving skills that are vital in the tech industry.

- Internship Opportunities: UCLA’s strong connections with leading tech companies provide students with internship opportunities that offer invaluable industry experience and networking.

- Digital Tools and Software: Students utilize advanced software tools such as MATLAB, TensorFlow, and various programming languages, ensuring they are well-versed in the technologies used in the field.

- Field Trips and Industry Visits: The program often organizes visits to tech companies and startups, giving students insights into industry practices and innovations.

- Libraries and Resources: The UCLA Library system offers extensive resources, including access to databases, journals, and research materials that support students’ academic and project work.

- Institutes and Centers: Students can engage with various research institutes, such as the Institute for Digital Research and Education, which fosters interdisciplinary collaboration and innovation.

Progression & Future Opportunities

The MS in Computer Science at UCLA prepares graduates for a dynamic and rewarding career in technology, with many students landing roles in top-tier companies shortly after graduation. Typical job roles include Software Engineer, Data Scientist, and Systems Architect, among others. The program not only equips students with advanced technical skills but also connects them with industry leaders, enhancing their career prospects:

- Career Services: UCLA offers robust career support, including resume workshops, interview preparation, and networking events tailored specifically for computer science students.
- Employment Statistics: Over 90% of graduates secure employment within six months of graduation, with starting salaries averaging around $120,000 per year.
- University–Industry Partnerships: UCLA has established partnerships with leading tech companies such as Google, Amazon, and Microsoft, providing students with internship opportunities and real-world project experience.
- Accreditation Value: The program is accredited by the Computing Accreditation Commission of ABET, ensuring that the education you receive meets the highest standards of quality and relevance in the field.
- Graduation Outcomes: Alumni have gone on to work at prestigious organizations and have reported high levels of job satisfaction and career advancement.

Further Academic Progression: After completing the MS in Computer Science, students have the option to pursue a Ph.D. in Computer Science or related fields, allowing them to delve deeper into research and academia. This path can lead to opportunities in teaching at the university level or conducting cutting-edge research in specialized areas of technology. Additionally, graduates may choose to obtain certifications in emerging technologies, further enhancing their expertise and marketability in the tech industry.