Best Computer Engineering Master's Programs 2026

Best Computer Engineering Programs - Top 10 Master's — Complete Program Data

1. #1. University of Southern California

   Location: Los Angeles, CA | Type: Private | Tuition: $66,640/year | Graduation Rate: 92% | Score: 100.0

   What makes University of Southern California stand out: USC's cybersecurity program is one of only six featured in Fortune magazine for career advancement potential and offers both traditional on-campus and fully equivalent online delivery through DEN@Viterbi, making it accessible to working professionals worldwide while maintaining the same rigorous USC engineering standards.

   Hakia Insight: University of Southern California's partnerships with Boeing and Raytheon Technologies translate research into real-world experience — a key differentiator for hiring managers.

   Program Overview: USC's Master of Science in Cyber Security Engineering is a 28-unit professional program housed within the prestigious Viterbi School of Engineering, focusing on the fundamentals of developing, engineering, and operating secure information systems. The program uniquely emphasizes how security policy drives technology decisions, training students in secure operating systems, applications, networking, cryptography, and key management. Available both on-campus and through DEN@Viterbi's fully equivalent online platform, this program serves graduate students seeking careers in computer network operations or those advancing toward doctoral studies with an information security focus.

   Degree Programs: BS (4 years); MS (1.5-2 years)

   Research Labs: Center for Computer Systems Security - Systems security and cybersecurity research; STEEL Security Research Lab - Security systems and privacy research; ANT (Analysis of Network Traffic Lab) - Network security and traffic analysis

   Industry Partners: Boeing, Raytheon Technologies, PwC, IBM

   Career Outcomes: Placement Rate: Strong employment outcomes reported | Top Employers: Bloomberg, Boeing, Northrop Gruman, PwC, NASA Jet Propulsion Laboratory, Los Alamos National Laboratory, U.S. Department of Justice, IBM | Common Roles: Detection Engineering, Product Security Engineer, Network Engineer, Cyber Risk Associate, Security Engineer, Cybersecurity Analyst

   Notable Faculty: Professor Newman (Cybersecurity research)

   Admissions: GPA: Bachelor's degree required, preferably in engineering, computer science, economics, hard sciences, or mathematics

   Accreditations: OPT STEM extension eligible

2. #2. Columbia University in the City of New York

   Location: New York, NY | Type: Private | Tuition: $64,526/year | Graduation Rate: 100% | Score: 92.9

   What makes Columbia University in the City of New York stand out: Columbia CS uniquely combines Ivy League academic rigor with Manhattan's tech ecosystem, offering specialized pathways like the dual MS in Journalism and Computer Science and faculty-invite-only personalized tracks that leverage the university's position as a global research hub in one of the world's major technology centers.

   Hakia Insight: Columbia University in the City of New York's Machine Learning Research Groups creates a direct research-to-career pipeline with New York City Tech Industry, bridging academic research and industry practice.

   Program Overview: Columbia University's Computer Science program sits at the heart of Manhattan's vibrant tech ecosystem, offering a comprehensive Master of Science degree that spans ten specialized pathways from Machine Learning to Computational Biology. The 30-credit program requires students to complete coursework at the 4000 level or above, with at least 6 points at the advanced 6000 level, while maintaining a 2.7 GPA. What sets Columbia apart is its faculty-determined pathway system that allows deep specialization in areas like Computer Security, Natural Language Processing, Vision Graphics Interaction and Robotics, and Software Systems, alongside unique offerings like the dual MS in Journalism and Computer Science. The program leverages Columbia's position in New York City to provide unparalleled industry connections and career opportunities across multiple sectors. Students can participate in state-of-the-art research within the department's specialized labs and research groups, while the Columbia Video Network (CVN) option extends access to working professionals. The department also offers an innovative MS Bridge Program and maintains strong ties to Columbia Engineering's broader research ecosystem, including partnerships with the Data Science Institute and various interdisciplinary centers.

   Degree Programs: MS in Computer Science (2 years); Dual MS in Journalism and Computer Science (5 semesters); MS Bridge Program (2 years); Computer Engineering MS (2 years)

   Research Labs: Machine Learning Research Groups - Artificial Intelligence and Machine Learning pathway research; Vision and Robotics Labs - Computer vision, graphics, interaction, and robotics research; Security and Privacy Research Groups - Computer security, privacy, and cryptography; Natural Language Processing Labs - Speech and language processing research

   Industry Partners: New York City Tech Industry

   Career Outcomes:

   Admissions: GPA: Minimum 2.7 GPA to maintain standing

3. #3. University of California-Los Angeles

   Location: Los Angeles, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 92% | Score: 91.6

   What makes University of California-Los Angeles stand out: UCLA Anderson's MSBA is the only program ranked #1 globally that specifically trains data scientists to communicate compelling 'data stories' to non-technical business leaders, bridging the critical gap between analytics and C-suite decision making.

   Hakia Insight: University of California-Los Angeles's partnerships with Boston Consulting Group and Nextdoor translate research into real-world experience — a key differentiator for hiring managers.

   Program Overview: UCLA offers a standout Master of Science in Business Analytics (MSBA) program through the prestigious Anderson School of Management, ranked #1 globally by QS World University Rankings in 2026. This 15-month, STEM-certified on-campus program is designed to bridge the critical gap between technical data skills and business strategy, training students to translate massive datasets into actionable business insights. The program features an exceptional 3:1 student-to-faculty ratio and is led by renowned faculty like Professor Felipe Caro, who helped Zara revolutionize its supply chain into a fast-fashion empire. Students gain hands-on experience through Applied Analytics Projects with top companies, industry seminars, and specialized workshops in data storytelling and business communication. The curriculum combines rigorous quantitative training with business acumen, preparing graduates to become invaluable assets who can speak both the language of data science and executive strategy.

   Degree Programs: BS; MS; PhD

   Research Labs: Morrison Center for Marketing and Data Analytics - Marketing analytics research and industry partnerships

   Industry Partners: Boston Consulting Group, Nextdoor, Uber

   Career Outcomes: Placement Rate: 98% full-time placement within 6 months | Top Employers: Boston Consulting Group, Nextdoor, Big Tech companies, Entertainment industry, E-commerce/Retail, Finance/Fintech | Common Roles: Data Scientist, Data Analyst, Business Analyst, Product Analyst, Business Intelligence Analyst, Product Manager, Data Engineer, Analytics Consultant

   Notable Faculty: Xiang Anthony Chen (Human-computer interaction, sensing and interaction techniques, intelligent user interfaces, computational design and fabrication); Jason Cong (Computer system architecture, energy-efficient computing, reconfigurable computing, electronic design automation); Puneet Gupta (Design-technology co-optimization, variability and reliability-aware computer architecture, electronic design automation); Lei He (Artificial Intelligence (AI) and Internet of Things (IoT), Programmable Logic (FPGA), AI-on-A-Chip, Quantum Computing); Achuta Kadambi (Computational Imaging, Computer Vision, Machine Learning, Robotics, Medical Devices); William Kaiser (Biomedical informatics, embedded systems, biomedical devices); Ankur Mehta (Printable robotics, Rapid design and fabrication, Controls algorithms, Wireless sensor networks); Majid Sarrafzadeh (Embedded systems, health analytics, biomedical systems, and algorithm design); Nader Sehatbakhsh (Security and Privacy, Computer Architecture, IoT/Embedded Systems Security, and Side-Channels); Mani B. Srivastava (Embedded software, Ubiquitous and mobile computing, Human-cyber-physical systems, Security and privacy); Lixia Zhang (Internet architecture and protocol designs, security and resiliency of large-scale systems); Omid Abari (Internet-of-Things (IoT), Digital Health, Ubiquitous Sensing, Wireless and Mobile Systems, Human-computer interaction (HCI))

   Admissions:

   Accreditations: STEM-certified program

4. #4. University of California-San Diego

   Location: La Jolla, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 81% | Score: 90.9

   What makes University of California-San Diego stand out: UCSD's CS program uniquely combines access to the San Diego Supercomputer Center's national-scale computing infrastructure with an interdisciplinary curriculum option, while maintaining direct pathways for exceptional MS students to transition into the PhD program.

   Hakia Insight: Access to San Diego Supercomputer Center's national research infrastructure

   Program Overview: UC San Diego's Computer Science and Engineering Department offers both Master of Science in Computer Science and Master of Science in Computer Science and Engineering (Computer Engineering) degrees, designed to serve diverse post-graduate educational needs. The program provides three distinct pathways: a Thesis Plan for research-oriented students, a Comprehensive Standard Plan, and a unique Comprehensive Interdisciplinary Plan that requires additional coursework in another department. What sets UCSD apart is its rigorous three-pronged curriculum structure ensuring students master fundamental concepts, gain breadth across multiple CS domains (Theory, Systems, and Applications), and develop deep expertise in their chosen specialization area. The program accommodates both full-time students and working professionals through part-time options, with a minimum three-quarter residency requirement. Located in La Jolla with proximity to the San Diego Supercomputer Center (SDSC), students gain access to cutting-edge computational resources including the Expanse supercomputer and AI-integrated computing environments that have powered breakthrough scientific research since the early Cray systems era.

   Degree Programs: MS in Computer Science and Engineering - Thesis Plan (Minimum 3 quarters); MS in Computer Science and Engineering - Comprehensive Standard Plan (Minimum 3 quarters); MS in Computer Science and Engineering - Comprehensive Interdisciplinary Plan (Minimum 3 quarters); MS in Computer Science and Engineering (Computer Engineering) (Minimum 3 quarters)

   Research Labs: San Diego Supercomputer Center (SDSC) - High-performance computing, AI-integrated systems, and cyberinfrastructure from early Cray systems to modern supercomputers

   Career Outcomes:

   Admissions: GPA: 3.0 minimum for good academic standing

   Accreditations: University of California accreditation

5. #5. University of California-Irvine

   Location: Irvine, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 96% | Score: 89.1

   What makes University of California-Irvine stand out: UC Irvine's Computer Engineering program is highly customizable to student interests and benefits from proximity to major tech companies, with graduates achieving an average starting salary of $73,850 according to alumni tracking data.

   Hakia Insight: University of California-Irvine's partnerships with Northrop Grumman and Boeing translate research into real-world experience — a key differentiator for hiring managers.

   Program Overview: UC Irvine's Computer Engineering program within the Henry Samueli School of Engineering offers both undergraduate and graduate pathways that blend hardware and software expertise. The undergraduate B.S. requires 187 units covering mathematics, physics, core engineering courses, and specialized computer engineering topics including digital systems, computer architecture, VLSI design, and embedded systems. The graduate M.S. program provides two tracks: a thesis option requiring 12 courses plus original research, and a comprehensive examination option focusing on advanced coursework. Students can pursue part-time study with a four-year completion limit. The program emphasizes practical application through required senior design projects and laboratory experiences, while faculty research spans parallel computing, embedded systems, computer networks, security, and low-power design.

   Degree Programs: B.S. in Computer Engineering (4 years); M.S. in Computer Engineering - Thesis Option (2 years); M.S. in Computer Engineering - Comprehensive Exam Option (2 years)

   Research Labs: Center for Embedded Computer Systems (CECS) - Leading-edge interdisciplinary research in embedded systems, automotive, medical and communications applications; Integrated Nanosystems Research Facility (INRF) - World-class cleanroom for micro- and nanosystems research and development; Computational Vision Lab - Information processing capabilities of biological visual systems and computational vision systems

   Industry Partners: Northrop Grumman, Boeing, Applied Medical

   Career Outcomes: | Top Employers: Northrop Grumman, Boeing, Applied Medical, Southern California Edison, Medtronic | Common Roles: Systems Engineer, Software Engineer, Hardware Engineer, Embedded Systems Developer

   Notable Faculty: undefined (Parallel and distributed computer systems, ultra-reliable real-time systems); undefined (VLSI architectures, reconfigurable computing, computer design automation); undefined (Computer communication protocols, networks, security, embedded systems)

   Admissions:

   Accreditations: ABET Accredited

6. #6. University of California-Berkeley

   Location: Berkeley, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 96% | Score: 88.9

   What makes University of California-Berkeley stand out: Berkeley EECS created BAIR, one of the world's most influential AI research labs, and maintains unique Silicon Valley connections where the most exceptional teachers are often also the most exceptional researchers, unlike many peer institutions.

   Hakia Insight: With a 12% acceptance rate, University of California-Berkeley's computer engineering program is among the nation's most competitive, attracting top talent to its nationally recognized faculty.

   Program Overview: UC Berkeley's Computer Science program stands as one of the world's most prestigious and influential CS programs, housed within the Department of Electrical Engineering and Computer Sciences (EECS). The program offers multiple pathways including a PhD in Computer Science, MS in Computer Science, and the innovative one-year Master of Engineering (MEng) designed for industry professionals. Berkeley's CS program is uniquely positioned in the Bay Area, where regular faculty - many of whom are leading researchers - teach the majority of courses, ensuring students learn from the most exceptional minds in the field. The program spans cutting-edge research areas from artificial intelligence and robotics at the Berkeley Artificial Intelligence Research Lab (BAIR) to quantum computing at the Berkeley Quantum Information and Computation Center (BQIC). With over 200 graduate programs university-wide and consistently ranking among the top doctoral programs nationwide, Berkeley offers an unparalleled academic environment where students work alongside faculty on projects that cross disciplinary boundaries to improve everyday life.

   Degree Programs: PhD in Computer Science (5-7 years typical); MS in Computer Science (2 years); Master of Engineering (MEng) in EECS (1 academic year); MS/PhD in Computer Science (5-7 years)

   Research Labs: Berkeley Artificial Intelligence Research Lab (BAIR) - Brings together researchers across computer vision, machine learning, NLP, planning, and robotics with over two dozen faculty and hundreds of graduate students; Berkeley Quantum Information and Computation Center (BQIC) - Quantum information processing investigating computational tasks like integer factorization and secure quantum communication; Berkeley Laboratory for Information and System Sciences (BLISS) - Research center focused on communications, information and coding theory, optimization, statistics and control; Berkeley Laboratory for Usable and Experimental Security (BLUES) - Research at intersection of computer security, online privacy, and human-computer interaction; Berkeley Institute for Data Science (BIDS) - Brings together domain experts from life, social, and physical sciences with methodological experts from computer science and statistics

   Industry Partners: Berkeley Deep Drive (BDD), Lawrence Berkeley National Laboratory

   Career Outcomes:

   Admissions: GPA: 3.0 minimum for MEng program, 3.7 average for admitted students | Acceptance Rate: 12% average for MEng program

7. #7. Cornell University

   Location: Ithaca, NY | Type: Private | Tuition: $65,204/year | Graduation Rate: 95% | Score: 86.0

   What makes Cornell University stand out: Cornell uniquely offers both a fully-funded research MS in Ithaca with mandatory teaching experience and a one-year industry-focused MEng at Cornell Tech in NYC, where students build actual products for real companies through the first-of-its-kind Studio curriculum.

   Hakia Insight: Cornell University's partnerships with Google and Facebook translate research into real-world experience — a key differentiator for hiring managers.

   Program Overview: Cornell University offers multiple pathways into computer science graduate education, each with distinct advantages for different career trajectories. The Master of Science in Computer Science, housed at Cornell's Ithaca campus, represents a highly selective, research-intensive program that combines advanced coursework with mandatory thesis research and teaching assistantships. This four-semester program requires 34 credit hours, including 6-12 credits of thesis research, and provides full funding through teaching assistantships for students maintaining good standing. In New York City, Cornell Tech offers a one-year Master of Engineering in Computer Science designed for immediate industry impact, featuring the innovative Studio curriculum where students build complete digital solutions for real companies in cross-disciplinary teams with business and law students. The Ithaca MS program particularly appeals to self-motivated researchers who thrive in mentoring environments, as students gain valuable teaching experience with undergraduates while conducting specialized research. Cornell Tech's Manhattan location provides direct access to NYC's tech ecosystem, with students working on innovation challenges from real companies and learning from faculty with extensive industry experience. Both programs benefit from Cornell's broader research infrastructure, including world-class facilities like the Cornell Center for Advanced Computing and specialized research groups in artificial intelligence, security and privacy, and human-computer interaction.

   Degree Programs: BS; M.Eng. (1 year); M.Eng.; Ph.D.

   Research Labs: Security & Privacy Research Group - security, privacy and cryptography; Artificial Intelligence & Robotics - computer vision, natural language processing, and machine learning; Data & Modeling Research Group - decision-making support models; Human-Computer Interaction (HCI) & Social Computing - accessibility, educational technology, CSCW and social computing; Cornell Language, Interaction, and Learning (LIL) Lab - language modeling and natural language processing

   Industry Partners: Google, Facebook, Grammarly, IBM, Bill & Melinda Gates Foundation

   Career Outcomes: Placement Rate: 90% of Cornell Tech CS graduates accept Software Developer roles | Top Employers: Google, Facebook, Amazon, Microsoft | Common Roles: Software Developer, Product Manager, Program Manager, Data Scientist, Research positions

   Notable Faculty: Vitaly Shmatikov (Digital privacy, computer security, machine learning security); Yoav Artzi (Natural language processing, machine learning); Noah Snavely (Computer vision, computer graphics); Helen Nissenbaum (Ethics and policy in technology)

   Admissions:

   Accreditations: AI for Engineers Certificate available at Cornell Tech

8. #8. Stanford University

   Location: Stanford, CA | Type: Private | Tuition: $61,731/year | Score: 83.5

   What makes Stanford University stand out: Stanford's Statistics and Data Science program sits at the epicenter of Silicon Valley, offering unmatched access to tech giants and startups while being backed by one of the world's most prestigious statistics departments with deep ties to industry innovation.

   Hakia Insight: Stanford University graduates earn $135,000, driven by the program's industry connections and hands-on computer engineering curriculum.

   Program Overview: Stanford University offers a rigorous M.S. in Statistics and Data Science, a terminal master's program designed for immediate career placement in the rapidly expanding data science field. The program typically takes 5-6 quarters to complete (excluding summer), requiring 45 units of coursework that blends theoretical statistical foundations with practical machine learning applications. Students begin with core courses like Probability Theory for Statistical Inference (STATS 118) and Statistical Learning and Data Science (STATS 202), progressing through advanced topics including causal inference, matrix theory, and specialized electives. The curriculum emphasizes both R and Python programming skills, with hands-on experience analyzing real datasets of moderate size. What sets Stanford's program apart is its location in the heart of Silicon Valley and deep integration with the broader Stanford ecosystem. Students benefit from mandatory orientations, close faculty mentoring through assigned advisors, and access to Stanford's renowned research infrastructure. The program attracts a diverse cohort from around the world, with students expected to live within commuting distance to ensure significant engagement with the department and faculty. Career prospects are exceptionally strong, with graduates finding positions across technology, finance, healthcare, and government sectors, particularly in the Bay Area where Stanford's Silicon Valley location provides unparalleled industry access.

   Degree Programs: BS in Computer Engineering (4 years); MS in Computer Engineering (2 years); PhD in Computer Engineering (5-6 years)

   Research Labs: Computer Systems Laboratory - Computer architecture, parallel systems; Robotics Laboratory - Autonomous systems, robotics, embedded control; Stanford Nano Shared Facilities - Microfabrication, semiconductor device research; Stanford Security Laboratory - Hardware security, cryptography

   Industry Partners: Google, Apple, Intel, NVIDIA, Tesla, Qualcomm

   Career Outcomes: Placement Rate: 95%+

   Notable Faculty: Christoforos Kozyrakis (Computer architecture, parallel systems, machine learning systems)

   Admissions:

   Accreditations: ABET accredited (Engineering Accreditation Commission)

9. #9. Carnegie Mellon University

   Location: Pittsburgh, PA | Type: Private | Tuition: $62,260/year | Graduation Rate: 98% | Score: 83.5

   What makes Carnegie Mellon University stand out: CMU's Plaid Parliament of Pwning hacking team has won a record nine DEF CON Capture-the-Flag championships in 13 years, while CyLab operates as the largest university-based security and privacy institute with triple NSA Center of Academic Excellence designations.

   Hakia Insight: Carnegie Mellon University's partnerships with Facebook/Meta and Netflix translate research into real-world experience — a key differentiator for hiring managers.

   Program Overview: Carnegie Mellon University operates one of the nation's most comprehensive cybersecurity ecosystems through its Information Networking Institute and the renowned CyLab Security and Privacy Institute. The flagship Master of Science in Information Security (MSIS) is a two-year technical program that combines rigorous coursework in security principles with hands-on research opportunities. Students can choose from specialized tracks including Cyber Forensics and Incident Response (CyFir) and Cyber Operations certificates, with part-time options available for working professionals. What sets CMU apart is its integration across multiple colleges - students can pursue cybersecurity through the College of Engineering, Heinz College's policy-focused MSISPM program, or newer offerings like the AI Engineering - Information Security degree. The university's CyLab comprises 40 core faculty and over 120 affiliated researchers, making it one of the largest university-based security research centers globally. Pittsburgh's emerging tech scene, with major expansions by Google, Uber, Disney, and Facebook, provides students with unprecedented access to both traditional defense contractors and cutting-edge tech companies.

   Degree Programs: BS (4 years); Integrated MS/BS (4.5-5 years); MS in ECE; MS in Artificial Intelligence Engineering; MS in Software Engineering; MS in Civil and Computer Engineering; PhD in ECE

   Research Labs: CyLab Security and Privacy Institute - University-wide security and privacy institute coordinating research across all departments; CyLab Usable Privacy and Security Lab - Privacy policies and human factors in security; CyLab Biometrics Center - Facial recognition and biometric security systems

   Industry Partners: Facebook/Meta, Netflix, Microsoft, NSA, Google, Bill & Melinda Gates Foundation

   Career Outcomes: | Top Employers: Accenture, Amazon, Apple, Boeing, Booz Allen Hamilton, Deloitte, FBI, Goldman Sachs, Google, NSA, PwC, U.S. Department of Defense, U.S. Department of Homeland Security | Common Roles: Security Engineer, Information Security Analyst, Privacy Engineer, Cybersecurity Manager

   Notable Faculty: David Brumley (Software security research); Yuan Tian (Software security research); Lorrie Cranor (Usable privacy and security); Alessandro Acquisti (Privacy research); Taha Khan (Cybercrime, usable security, online censorship)

   Admissions:

   Accreditations: NSA Center of Academic Excellence in Cyber Defense (CAE-CD), NSA Center of Academic Excellence in Cyber Operations (CAE-Cyber Ops), NSA Center of Academic Excellence in Cyber Research (CAE-R)

10. #10. University of Washington-Seattle Campus

    Location: Seattle, WA | Type: Public | Tuition: $11,524/year | Graduation Rate: 97% | Score: 83.4

    What makes University of Washington-Seattle Campus stand out: UW's Computer Engineering program uniquely combines the resources of two top-20 ranked departments, offering students access to cutting-edge research facilities like the Washington Nanofabrication Facility while being embedded in Seattle's tech capital with direct pipelines to Amazon, Microsoft, and Boeing.

    Hakia Insight: University of Washington-Seattle Campus's partnerships with Amazon and Microsoft translate research into real-world experience — a key differentiator for hiring managers.

    Program Overview: The University of Washington-Seattle Campus Computer Engineering program operates through two prestigious departments: the Paul G. Allen School of Computer Science & Engineering and the Department of Electrical & Computer Engineering. The program offers undergraduate Bachelor of Science in Computer Engineering degrees through the College of Engineering, featuring extensive research opportunities across artificial intelligence, robotics, systems design, and quantum technologies. Located in Seattle's thriving tech ecosystem, students benefit from proximity to Amazon, Microsoft, Boeing, and a vibrant startup community. The program emphasizes both theoretical foundations and hands-on experience through state-of-the-art facilities including the Paul G. Allen Center and access to specialized labs like the Washington Nanofabrication Facility and various research centers focusing on everything from biosystems to quantum systems.

    Degree Programs: Bachelor of Science in Computer Engineering (4 years); Master of Science in Electrical Engineering (Computer Engineering focus) (1.5-2 years); Doctor of Philosophy in Computer Engineering (4-6 years)

    Research Labs: CHIPS at UW ECE - Semiconductor and integrated circuit research; Washington Nanofabrication Facility - Advanced materials and device fabrication; Center for Game Science - Human-computer collaboration and educational gaming; Center for Neurotechnology - Neural engineering and brain-computer interfaces

    Industry Partners: Amazon, Microsoft, Boeing, Intel, Apple

    Career Outcomes: Placement Rate: 85% positive outcome rate within 6 months | Top Employers: Amazon, Boeing, Microsoft, Meta, University of Washington | Common Roles: Software Engineer/Software Development Engineer, Electrical Engineer, Project Engineer, Engineer

    Notable Faculty: Luis Ceze (Computer architecture, DNA storage, machine learning systems); Zachary Tatlock (Programming languages, formal verification, hardware design); Shyamnath Gollakota (Wireless systems, IoT, ambient computing)

    Admissions: GPA: Minimum 2.0 in required courses | Acceptance Rate: Highly competitive, capacity constrained

    Accreditations: ABET Accredited Computer Engineering Program