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The University of California Berkeley comprises numerous research labs, centers, and institutes for providing remarkable research outcomes. Some of the PhD computer science-oriented labs are given here Agile Design of Efficient Processing Technologies (ADEPT), Algorithms and Computing for Education (ACE), Berkeley Artificial Intelligence Research Lab (BAIR), Berkeley Audio-visual Signal Processing and Communication Systems (BASiCS) , Berkeley Center for Computational Imaging (BCCI), Berkeley Deep Drive (BDD), Berkeley Emerging Technologies Research (BETR), Berkeley Institute for Data Science (BIDS), Center for Augmented Cognition (CAC), International Computer Science Institute (ICSI), Real-Time Intelligent Secure Explainable Systems (RISELab), Software Defined Buildings (SDB) and many more.
Address: Berkeley, CA, USA
Phone: +1 510-642-6000
Email: berkeleyinfo@berkeley.edu
Website: https://www.berkeley.edu/
University Type: Public land-grant research university
Undergraduate Courses:
• Introduction to Computer Science
• Data Structures and Algorithms
• Programming Languages and Compilers
• Operating Systems
• Computer Architecture
• Software Engineering
• Artificial Intelligence
• Computer Graphics
• Database Systems
• Computer Networks
• Theory of Computation
• Human-Computer Interaction
• Computer Security
Graduate Courses:
• Advanced Algorithms
• Advanced Operating Systems
• Advanced Database Systems
• Advanced Computer Architecture
• Advanced Software Engineering
• Distributed Systems
• Advanced Artificial Intelligence
• Advanced Computer Graphics
• Computer Vision
• Natural Language Processing
• Computational Geometry
• Machine Learning
• Information Retrieval
• Robotics
• Programming Languages
• Compiler Design
• Computer Security
Ph.D. Courses:
• Algorithmic Foundations of Data Science
• Advanced Computer Networks
• Advanced Cryptography
• Advanced Machine Learning
• Algorithmic Game Theory
Research scopes at Berkeley cross regulations and elucidate novel ideas. Research is the premise of the University of California Berkeley in computer science. Faculty members and research students work cooperatively on groundbreaking computer science projects cross-disciplinary borders to boost everyday life and make useful alterations. The below list provides the popular research areas under computer science
• Artificial Intelligence (AI)
• Computer Architecture & Engineering (ARC)
• Biosystems & Computational Biology (BIO)
• Cyber-Physical Systems and Design Automation (CPSDA)
• Database Management Systems (DBMS)
• Education (EDUC)
• Graphics (GR)
• Human-Computer Interaction (HCI)
• Operating Systems & Networking (OSNT)
• Programming Systems (PS)
• Scientific Computing (SCI)
• Security (SEC)
• Theory (THY)
Artificial Intelligence (AI) - Research in Artificial Intelligence at Berkeley includes foundational research in deep learning, knowledge representation, reasoning, learning, planning, decision-making, vision, robotics, speech, and natural language processing. Research in AI utilizes techniques and tools from statistics, neuroscience, control, optimization, and operations research. Current research topics in AI are Learning and Probabilistic Inference, Knowledge Representation, and Reasoning, Search and Information Retrieval, Speech and Language, Vision, Robotics, Deep Learning, Perception and Motion Planning
Computer Architecture & Engineering (ARC) - Research to contend next generation issues in computer architecture is carried out by Berkeley University beneficial to solve the challenge of parallel computation, bringing in techniques from other fields, ideas for architecture based on new substrates, power budget issues, micro-architectural circuit level constraints, and architectural issues in the development of sensor networks.
Biosystems & Computational Biology (BIO) - Modern biology increasingly demands algorithmic and conceptual tools from computer science and electrical engineering. In essence, many faculties of Berkeley University are members of the Center for Computational Biology (CCB). Neural systems, Biomedical systems, Medical imaging, and instrumentation are recent research topics in BIO.
Cyber-Physical Systems and Design Automation (CPSDA) - CPSDA research area at Berkeley University imparts more contributions over five decades in both cyber-physical systems (CPS) and design automation (DA). This research area helps develop theories, tools, and technologies for designing, modeling, and analyzing CPS and other complex systems. Notable contributions in CPS&DA include the formation of Electronic DA companies, circuit simulation and layout of semiconductor circuits, logic synthesis and verification, and model-based design of embedded, cyber-physical systems such as models of computation, Ptolemy, Platform-Based Design, and Metropolis and research projects such as PATH, CHESS, TRUST, TerraSwarm, and iCyPhy.
Database Management Systems (DBMS) – Due to the large-scale computing services and its management, distribution, and analysis of massive data sets, Berkeley University creates advances in data centrality in computing. Berkeley also introduces many of the most widely used open-source systems in the DBMS, including INGRES, Postgres, BerkeleyDB, and Apache Spark. Presently, its research concentrates on data-centric computing as a wide array of emerging scenarios by taking the foundations of data management. Declarative languages and runtime systems, Scalable data analysis and query processing, Data storage and physical design, Metadata management, Systems for machine learning and model management, Data cleaning, data transformation and crowdsourcing, Interactive data exploration and visualization, and secure data processing are some research topics in DBMS.
Graphics (GR) - The Computer Graphics Groups at Berkeley University investigates scientific visualization, physically-based rendering, animation, computer-aided geometric design, rapid prototyping, computer-aided cornea modeling and visualization, medical imaging, tele-immersive environments for geographically distributed collaboration, and virtual environments for surgical simulation.
Human-Computer Interaction (HCI) - The Human-Computer Interaction Group in computer science of Berkeley University examines interaction in the present and future computing environments of HCI. Many Berkeley faculty are better able to offer masters and PhD programs focused on HCI. Recent research topics of HCI at Berkeley University are Context-aware computing, Perceptual Interfaces, Collaboration and Learning, Digital Design and Fabrication, Human-Centered Artificial Intelligence, Interactive Data Exploration and Presentation, and many more.
Operating Systems & Networking (OSNT)- Internet architecture, Security, Distributed Systems. Operating systems, Network economics, Technology for developing regions, Network measurement, Programming Systems (PS), Language Design, Implementation, Environments and Tools, Program Analysis and Verification, Software design, synthesis, and testing are the research focus in OSNT under computer science at Berkeley University.
Security (SEC) - UC Berkeley owns the world-s top research group in Computer Security. Cryptography, PrivacySensor web security, Human interfaces and security, Network security, Electronic voting and Beyond Technical Security are some of the research focus of SEC at Berkeley University.
The University of California Berkeley comprises numerous research labs, centers, and institutes for providing remarkable research outcomes. Some of the PhD computer science-oriented labs are given here Agile Design of Efficient Processing Technologies (ADEPT), Algorithms and Computing for Education (ACE), Berkeley Artificial Intelligence Research Lab (BAIR), Berkeley Audio-visual Signal Processing and Communication Systems (BASiCS) , Berkeley Center for Computational Imaging (BCCI), Berkeley Deep Drive (BDD), Berkeley Emerging Technologies Research (BETR), Berkeley Institute for Data Science (BIDS), Center for Augmented Cognition (CAC), International Computer Science Institute (ICSI), Real-Time Intelligent Secure Explainable Systems (RISELab), Software Defined Buildings (SDB) and many more.
The University of California Berkeley offers several fellowships and scholarship opportunities Sevin Rosen Funds Award for Innovation to computer science research scholars as a capital fund for early-stage investments in pioneering technologies. Memorial funds from Berkeley University donate funds as financial aid for computer science research students. Berkeley Doctoral Completion Fellowship (DCF) is a better funding opportunity for doctoral candidates. Other scholarships include Narotam Sekhsaria-s Scholarships, K.C. Mahindra Scholarships For Post-Graduate Studies Abroad, Hani Zeini Scholarship.
The following are the minimum requirements for admission to the Computer Science Ph.D. study at the University of California, Berkeley:
• A bachelor-s degree in computer science, engineering, mathematics, physics, or a relevant discipline from an approved institution with an overall GPA of 3.5 or higher
• A minimum GRE score of 300
• Applicants must create an online application at Graduate Division
• Applicants must submit all required application materials, such as transcripts, GRE scores, writing sample, Statement of Purpose, and three letters of recommendation
• After the review and interview, applicants accept an offer of admission
