Master of Science in Computer Engineering

2 Years On Campus Masters Program

University of California Santa Cruz

Program Overview

The Master of Science in Computer Science and Engineering provides advanced education in computing, algorithms, programming languages, and computer architecture. The thesis pathway is designed for students interested in independent research, advanced technical specialization, and potential doctoral studies.

Curriculum Structure

Year 1: Students build their graduate-level foundation through CSE 200 – Research and Teaching in Computer Science and Engineering, along with two core courses selected from CSE 201 – Analysis of Algorithms, CSE 210A – Programming Languages, and CSE 220 – Computer Architecture. They also begin exploring three different breadth categories through specialized graduate coursework.

Year 2: Students deepen their specialization through advanced electives and independent research. They complete CSE 299 – Thesis Research, develop a research proposal with a faculty advisor, establish a thesis reading committee, and submit their completed thesis for committee approval. The program requires 48 credits, including core courses, breadth requirements, electives, and thesis research.

Focus Areas

Artificial Intelligence and Machine Learning, Algorithms and Computational Complexity, Computer Architecture, VLSI and Chip Design, Cybersecurity and Privacy, Distributed Systems, Database Systems, Natural Language Processing, Computer Networks, Programming Languages, Computer Vision and Human-Computer Interaction.

Learning Outcomes

Advanced computational knowledge, algorithm design and analysis, software and hardware development, independent research, critical problem-solving, technical innovation, research communication, and development of scalable computing solutions.

Professional Alignment (Accreditation)

No specific professional accreditation is stated for the M.S. program in the university catalog.

Reputation (Research & Employability)

Research Excellence: UCSC's Computer Science and Engineering department has established research strengths across AI, machine learning, computer systems, hardware architecture, and cybersecurity.

Industry Exposure: Its proximity to Silicon Valley provides opportunities to connect with technology companies and pursue internships.

Experiential Learning (Research, Projects, Internships etc.)

At the University of California, Santa Cruz, the Master of Science in Computer Engineering program emphasizes experiential learning, ensuring that students not only grasp theoretical concepts but also gain practical skills that are essential in today’s tech-driven world. The program is designed to provide hands-on experiences through various facilities, tools, and collaborative projects that prepare students for real-world challenges.

 

Students have access to state-of-the-art laboratories and resources that foster innovation and creativity. Here are some key aspects of the experiential learning opportunities available in the program:

- Research Laboratories: Engage in cutting-edge research at facilities like the Computer Engineering Research Lab and the Robotics Lab, where you can work on projects involving artificial intelligence, machine learning, and robotics.

- Collaborative Projects: Participate in group projects that simulate industry environments, allowing you to work alongside peers to solve complex engineering problems.

- Internship Opportunities: Take advantage of partnerships with local tech companies and startups, providing you with internship opportunities that enhance your resume and professional network.

- Software Tools: Gain proficiency in industry-standard software such as MATLAB, Simulink, and various programming languages, which are integral to your coursework and projects.

- Field Trips: Experience the tech industry firsthand through organized field trips to leading tech companies and research institutions in Silicon Valley.

- Digital Tools: Utilize advanced digital tools and platforms for collaboration, project management, and software development, ensuring you are well-prepared for the workforce.

- Libraries and Resources: Access extensive resources at the University Library, which offers a wealth of research materials, databases, and study spaces tailored for engineering students.

- Institutes and Centers: Engage with specialized institutes such as the Center for Information Technology Research in the Interest of Society (CITRIS), which focuses on innovative technology solutions for societal challenges.

Progression & Future Opportunities

The Master of Science in Computer Engineering at the University of California, Santa Cruz, equips graduates with the skills and knowledge needed to excel in a rapidly evolving tech landscape. Alumni often find themselves in high-demand roles such as Software Engineer, Systems Architect, Data Scientist, and Network Engineer. With a strong foundation in both theoretical and practical aspects of computer engineering, graduates are well-prepared to tackle complex challenges in various industries:

 

- University Services for Employment: UCSC offers dedicated career services, including resume workshops, interview preparation, and networking events with industry professionals. The Career Center also hosts job fairs that connect students directly with leading tech companies.

- Employment Stats and Salary Figures: According to recent data, over 90% of graduates secure employment within six months of graduation, with starting salaries averaging around $100,000 annually, depending on the role and location.

- University–Industry Partnerships: UCSC has established partnerships with major tech companies such as Google, Apple, and Intel, providing students with internship opportunities and collaborative projects that enhance their learning experience.

- 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: Graduates of the program have gone on to work at prestigious organizations and have also pursued entrepreneurial ventures, showcasing the versatility and value of the degree.

Further Academic Progression: After completing the MS in Computer Engineering, students have the option to pursue a Ph.D. in Computer Engineering or related fields, allowing them to delve deeper into research and innovation. This path can lead to academic positions, advanced research roles, or specialized industry positions that require a higher level of expertise. Additionally, graduates may choose to obtain professional certifications in areas such as cybersecurity, data analytics, or cloud computing to further enhance their qualifications and career prospects.

 

Program Key Stats

$$37 602
$$37 602
$55
Aug Intake : 30th Nov


58%

Eligibility Criteria

BBC - BCC
2 - 2.8
22 - 26
65 - 70

6.5
79
No
Eligibility criteria

Career Options

  • Software Engineer
  • Software Developer
  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Computer Systems Architect
  • Cybersecurity Engineer
  • Computer Hardware Engineer
  • Research Scientist
  • Database Engineer
  • Computer Vision Engineer
  • Network Systems Engineer
Career options

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