Santa Clara University - School of Engineering

Master of Science in Computer Science and Engineering

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What makes SCU Engineering's
Master of Science in Computer Science and Engineering Different!

Specialised Curriculum with Industry-Aligned Tracks

The M.S. in CSE offers specialized tracks in high-demand areas such as data science, software engineering, information assurance, multimedia processing, and computer networks, enabling students to tailor their education to specific career goals. Core courses like Computer Architecture, Design and Analysis of Algorithms, and Operating Systems provide foundational knowledge, while electives such as Embedded Systems and Formal Specification and Advanced Data Structures allow for deeper specialization. The 45-unit requirement balances technical rigor with flexibility, permitting up to 9 transfer units from accredited institutions to accommodate prior graduate coursework. This structure ensures graduates develop both breadth and depth in computational theory and applied engineering, positioning them competitively in fields ranging from cybersecurity to artificial intelligence.

Silicon Valley Location and Industry Partnerships

Situated in the heart of Silicon Valley, Santa Clara University leverages its proximity to leading tech companies like Google, Apple, and Cisco, providing students with unparalleled access to internships, networking events, and employment opportunities. The program’s capstone projects often involve real-world challenges posed by industry partners, mirroring workplace dynamics and fostering practical problem-solving skills. For instance, past student projects include developing virtual reality software for anxiety treatment and apps to improve rural healthcare, demonstrating the program’s emphasis on translational impact. Additionally, partnerships with organizations like the National Science Foundation (NSF) and Oak Ridge National Laboratory facilitate collaborative research, further bridging academia and industry.

State-of-the-Art Research Facilities and Labs

The program provides access to advanced research laboratories, including cybersecurity labs, computer vision labs, and sustainable energy initiatives, where students engage in cutting-edge projects under faculty mentorship. These facilities enable hands-on experimentation with emerging technologies, such as nanosatellite software and biomaterial-integrated systems. The Graduate Capstone Project sequence emphasizes innovation, requiring students to identify societal needs and engineer solutions, such as apps for healthcare accessibility or energy-efficient algorithms. This focus on applied research ensures graduates are adept at transforming theoretical concepts into impactful technologies, a critical competency in rapidly evolving tech sectors.

Experienced Faculty with Industry and Academic Expertise

Santa Clara’s CSE faculty combine academic excellence with real-world experience, having worked at organizations like LG, Google, and VMware. Professors such as Dr. Ying Liu (Researcher of the Year) and Dr. Xiang Li lead research in areas like machine learning and network security, often funded by grants from the NSF and private industry. Adjunct lecturers, including seasoned engineers, bring insights from projects like the San Francisco Bay Bridge retrofit, ensuring coursework remains aligned with current industry practices. This blend of theoretical and practical expertise enriches the learning environment, preparing students for roles in both corporate R&D and academic research.

Flexible Program Structure with Accelerated Pathways

The program accommodates diverse student needs through full-time (12-month), part-time, and accelerated B.S./M.S. dual-degree pathways, allowing undergraduates to earn both degrees in five years. Working professionals benefit from evening classes and hybrid learning options, while the transfer credit policy (up to 9 units) reduces redundancy for those with prior graduate coursework. Academic support services, including personalized advising and the Engineering Peer Advisor Program, help students balance coursework with career development. Such flexibility ensures the program is accessible to recent graduates and mid-career engineers alike, fostering lifelong learning and adaptability.

Know More about the SCU Engineering Master of Science in Computer Science and Engineering Program

Santa Clara Universitys Master of Science in Computer Science and Engineering offers advanced training in AI, cybersecurity, software development, and data science. Located in Silicon Valley, the program emphasizes hands-on learning, research, and industry collaboration. Graduates gain cutting-edge technical expertise, preparing them for leadership roles in technology and innovation. ..... Read More

Duration

24 Months

How does the Class Profile of SCU Engineering's Master of Science in Computer Science and Engineering Program look like?

Average Class Size

40

Average Age

24.7

Average Work Experience

2.3

Want to See Who You'll Be Learning With?

Explore detailed class demographics, academic backgrounds, and industry experiences that define your future classmates.

Where do graduates of SCU Engineering's Master of Science in Computer Science and Engineering program land? Discover More!

Median Earnings after Graduation

USD 105,000/- year

Graduation Rate

95.00 %

Recruiters

Google Meta Amazon Apple Microsoft Netflix NVIDIA Salesforce Oracle Intel Cisco LinkedIn Adobe Zoom VMWare

Prospective Job Roles

Software Engineer Full Stack Developer Data Scientist Machine Learning Engineer AI Researcher Backend Developer Frontend Developer Cloud Engineer Cybersecurity Analyst DevOps Engineer Blockchain Developer Mobile App Developer Systems Architect Technical Product Manager Computer Vision Engineer Natural Language Processing Engineer Data Engineer Algorithm Engineer Web Developer Research Scientist - AI

Eligibility Criteria for SCU Engineering's Master of Science in Computer Science and Engineering in Management program ?

Credential Evaluation Requirement

Mandatory English Proficiency Test

Mandatory GRE / GMAT Requirement

4 Year Bachelor’s Degree Requirement

Tuition Fees & Scholarship Opportunities!

Tuition Fees

USD 43416/- PER YEAR

Application Fee

USD 95/-

Scholarship Opportunities upto

USD 6 Million

Connect with SCU Engineering’s
current graduate students in one click...

Want the Inside Scoop from Students?

Discover real experiences, day-in-the-life stories, and tips from students currently enrolled in the program.

SCU Engineering's Global Alumni

Wondering Where This Program Can Take You?

See the impact through successful alumni—where they’re working, what they’re doing, and how this program helped shape their journey.

Upcoming SCU Engineering Events

We will be back Soon with Upcoming Events

On Demand Events

img-blur-shadow

Augmented Reality for Cultural Heritage: The Ohlone AR Tour at Santa Clara University

Bridging History, Technology, and Career Paths: An Immersive Exploration of Ohlone Culture and Alumni Insights on Navigating the U.S. Job Market""
Register to access the video

Know More about the SCU Engineering Master of Science in Computer Science and Engineering Program

Santa Clara Universitys Master of Science in Computer Science and Engineering offers advanced training in AI, cybersecurity, software development, and data science. Located in Silicon Valley, the program emphasizes hands-on learning, research, and industry collaboration. Graduates gain cutting-edge technical expertise, preparing them for leadership roles in technology and innovation. ..... Read More

Duration

24 Months

How does the Class Profile of SCU Engineering's Master of Science in Computer Science and Engineering Program look like?

Average Class Size

40

Average Age

24.7

Average Work Experience

2.3

Want to See Who You'll Be Learning With?

Explore detailed class demographics, academic backgrounds, and industry experiences that define your future classmates.

Where do graduates of SCU Engineering's Master of Science in Computer Science and Engineering program land? Discover More!

Median Earnings after Graduation

USD 105,000/- year

Graduation Rate

95.00 %

Recruiters

Google Meta Amazon Apple Microsoft Netflix NVIDIA Salesforce Oracle Intel Cisco LinkedIn Adobe Zoom VMWare

Prospective Job Roles

Software Engineer Full Stack Developer Data Scientist Machine Learning Engineer AI Researcher Backend Developer Frontend Developer Cloud Engineer Cybersecurity Analyst DevOps Engineer Blockchain Developer Mobile App Developer Systems Architect Technical Product Manager Computer Vision Engineer Natural Language Processing Engineer Data Engineer Algorithm Engineer Web Developer Research Scientist - AI

Eligibility Criteria for SCU Engineering's Master of Science in Computer Science and Engineering in Management program ?

Credential Evaluation Requirement

Mandatory English Proficiency Test

Mandatory GRE / GMAT Requirement

4 Year Bachelor’s Degree Requirement

Tuition Fees & Scholarship Opportunities!

Tuition Fees

USD 43416/- PER YEAR

Application Fee

USD 95/-

Scholarship Opportunities upto

USD 6 Million

What makes SCU Engineering's
Master of Science in Computer Science and Engineering Different!

Specialised Curriculum with Industry-Aligned Tracks

The M.S. in CSE offers specialized tracks in high-demand areas such as data science, software engineering, information assurance, multimedia processing, and computer networks, enabling students to tailor their education to specific career goals. Core courses like Computer Architecture, Design and Analysis of Algorithms, and Operating Systems provide foundational knowledge, while electives such as Embedded Systems and Formal Specification and Advanced Data Structures allow for deeper specialization. The 45-unit requirement balances technical rigor with flexibility, permitting up to 9 transfer units from accredited institutions to accommodate prior graduate coursework. This structure ensures graduates develop both breadth and depth in computational theory and applied engineering, positioning them competitively in fields ranging from cybersecurity to artificial intelligence.

Silicon Valley Location and Industry Partnerships

Situated in the heart of Silicon Valley, Santa Clara University leverages its proximity to leading tech companies like Google, Apple, and Cisco, providing students with unparalleled access to internships, networking events, and employment opportunities. The program’s capstone projects often involve real-world challenges posed by industry partners, mirroring workplace dynamics and fostering practical problem-solving skills. For instance, past student projects include developing virtual reality software for anxiety treatment and apps to improve rural healthcare, demonstrating the program’s emphasis on translational impact. Additionally, partnerships with organizations like the National Science Foundation (NSF) and Oak Ridge National Laboratory facilitate collaborative research, further bridging academia and industry.

State-of-the-Art Research Facilities and Labs

The program provides access to advanced research laboratories, including cybersecurity labs, computer vision labs, and sustainable energy initiatives, where students engage in cutting-edge projects under faculty mentorship. These facilities enable hands-on experimentation with emerging technologies, such as nanosatellite software and biomaterial-integrated systems. The Graduate Capstone Project sequence emphasizes innovation, requiring students to identify societal needs and engineer solutions, such as apps for healthcare accessibility or energy-efficient algorithms. This focus on applied research ensures graduates are adept at transforming theoretical concepts into impactful technologies, a critical competency in rapidly evolving tech sectors.

Experienced Faculty with Industry and Academic Expertise

Santa Clara’s CSE faculty combine academic excellence with real-world experience, having worked at organizations like LG, Google, and VMware. Professors such as Dr. Ying Liu (Researcher of the Year) and Dr. Xiang Li lead research in areas like machine learning and network security, often funded by grants from the NSF and private industry. Adjunct lecturers, including seasoned engineers, bring insights from projects like the San Francisco Bay Bridge retrofit, ensuring coursework remains aligned with current industry practices. This blend of theoretical and practical expertise enriches the learning environment, preparing students for roles in both corporate R&D and academic research.

Flexible Program Structure with Accelerated Pathways

The program accommodates diverse student needs through full-time (12-month), part-time, and accelerated B.S./M.S. dual-degree pathways, allowing undergraduates to earn both degrees in five years. Working professionals benefit from evening classes and hybrid learning options, while the transfer credit policy (up to 9 units) reduces redundancy for those with prior graduate coursework. Academic support services, including personalized advising and the Engineering Peer Advisor Program, help students balance coursework with career development. Such flexibility ensures the program is accessible to recent graduates and mid-career engineers alike, fostering lifelong learning and adaptability.

Master of Science in Computer Science and Engineering's Current Students

Want the Inside Scoop from Students?

Discover real experiences, day-in-the-life stories, and tips from students currently enrolled in the program.

Master of Science in Computer Science and Engineering's Global Alumni

Wondering Where This Program Can Take You?

See the impact through successful alumni—where they’re working, what they’re doing, and how this program helped shape their journey.

Upcoming SCU Engineering Events

We will be back Soon with Upcoming Events

On Demand Events

img-blur-shadow

Augmented Reality for Cultural Heritage: The Ohlone AR Tour at Santa Clara University

Bridging History, Technology, and Career Paths: An Immersive Exploration of Ohlone Culture and Alumni Insights on Navigating the U.S. Job Market""
Register to access the video

Connect with SCU Engineering's Faculty in one click ...

Curious About Who Will Be Teaching You?

Explore other SCU Engineering programs

Master of Science in Aerospace Engineering (MSAE)

Duration
24 MONTHS

Master of Science in Applied Mathematics

Duration
24 MONTHS

Master of Science in Bioengineering

Duration
24 MONTHS

Master of Science in Civil Engineering

Duration
24 MONTHS

Master of Science in Electrical and Computer Engineering

Duration
24 MONTHS

Master of Science in Engineering Management and Leadership

Duration
24 MONTHS

Master of Science in Mechanical Engineering

Duration
24 MONTHS

Master of Science in Power Systems and Sustainable Energy

Duration
24 MONTHS

Master of Science in Robotics and Automation

Duration
24 MONTHS
View All

Frequently Asked Questions

Get all your questions answered about Master of Science in Computer Science and Engineering by SCU Engineering

Santa Clara University’s MS in Computer Science and Engineering offers in-depth study in areas like artificial intelligence, machine learning, cybersecurity, data science, software systems, and computer architecture.
Applicants must have a bachelor’s degree in computer science, computer engineering, or a related field, along with transcripts, a statement of purpose, letters of recommendation, and optionally, GRE scores.
Yes, students from other engineering or science disciplines can apply, but may need to complete prerequisite coursework as determined by the department upon admission.
Students benefit from hands-on labs, project-based courses, internships, and opportunities to work on cutting-edge research in collaboration with faculty and Silicon Valley tech companies.
Graduates go on to roles such as software engineer, machine learning engineer, data scientist, security analyst, and systems architect at leading companies like Google, Meta, NVIDIA, and Adobe.

Contact us

For any queries, please feel free to reach out to us!

email
Email

admission@scu.edu

call
Phone

+408-554-4600