University of California, Berkeley
MEng in EECS – Computer Vision & AI
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
University of California, Berkeley's MEng in EECS – Computer Vision & AI lists about $69.1K total tuition — about 61% above the $42.9K AI master's average (84th percentile in our data). It runs on a full-time schedule (on-campus).
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, electrical engineering, or a related technical field with a strong GPA (typically 3.5+) and relevant coursework in programming, linear algebra, and machine learning is required. Prior research or professional experience in AI or computer vision is highly recommended.
About This Program
A professional degree that integrates advanced engineering coursework with leadership training for high-tech industry careers. Coursework concentrates on Computer Vision and Natural Language Processing (NLP). Most students complete it in about 1 year.
Graduates frequently move into roles such as Computer Vision Engineer, with reported salaries around $145,000.
Design and implement computer vision algorithms for image recognition and object detection.
Estimated total tuition is $69.1K, above the $42.9K average for AI master's programs in our database and in the 84th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
It is one of 65 AI-related programs we track in California, of which about 37% offer an online option. On price, it comes in higher than about 72% of the California programs in our data, where typical tuition runs near $63.3K.
Career Outcomes
University of California, Berkeley positions this master track for Computer Vision Engineer careers — typical offers cluster around $145,000. Its focus on Computer Vision and Natural Language Processing (NLP) maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.
- 1. Computer Vision Engineer
- 2. AI Research Engineer
- 3. Machine Learning Engineer
- 4. Robotics Perception Specialist
What You'll Learn
- Design and implement computer vision algorithms for image recognition and object detection.
- Build deep learning models for visual data analysis and generation.
- Develop multimodal AI systems integrating vision and language processing.
- Apply ethical AI principles to computer vision applications.
Curriculum Highlights
The curriculum includes technical concentration courses, leadership modules, and an industry-focused capstone project in computer science.
Top Employers
Top employers include Google, Meta, NVIDIA, OpenAI, and tech firms specializing in autonomous systems and AI vision applications.
Admissions
Admission to University of California, Berkeley's MEng in EECS – Computer Vision & AI generally expects a bachelor's degree. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Frequently Asked Questions
Why choose University of California, Berkeley's MEng in EECS – Computer Vision & AI?
A professional degree that integrates advanced engineering coursework with leadership training for high-tech industry careers.
Does University of California, Berkeley offer the MEng in EECS – Computer Vision & AI in an online format?
This program is listed as on-campus, so plan for on-campus attendance. University of California, Berkeley may offer other online AI options — verify current formats before applying.
How much does the MEng in EECS – Computer Vision & AI cost?
We estimate total tuition at roughly $69.1K, above the $42.9K average for comparable AI master's programs in our database. Tuition changes yearly and excludes fees and living costs, so treat this as a planning figure and confirm with University of California, Berkeley.
Does the MEng in EECS – Computer Vision & AI require the GRE?
No — University of California, Berkeley does not require the GRE for this program, which is increasingly common among AI programs. A strong transcript, projects and recommendation letters carry more weight.
How long does the MEng in EECS – Computer Vision & AI take to complete?
Most students finish in about 1 year for full-time enrollment. Accelerated or part-time tracks may change the timeline.
What jobs can you get with the MEng in EECS – Computer Vision & AI?
Graduates commonly pursue roles such as Computer Vision Engineer, with reported pay around $145,000. Actual outcomes depend on your prior experience, portfolio and location — see our AI salary guide for current, source-cited ranges.
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Visit the official program page for the latest deadlines, tuition, and application requirements.