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PhD Computer Science in University of New Brunswick - Fredericton - Canada

University of New Brunswick - Fredericton - Canada

About University of New Brunswick

  The University of New Brunswick is a public research institution in Fredericton and Saint John, New Brunswick, and was endowed in 1785. The University of New Brunswick is recognized as the most entrepreneurial university in Canada in the Startup Canada Awards.
  The University of New Brunswick furnishes over 75 degrees via fourteen faculties, including the Faculty of Arts, Faculty of Science, Faculty of Business, Faculty of Computer Science, Faculty of Engineering, Faculty of Kinesiology, Faculty of Education, Faculty of Law, Faculty of Nursing & Health Sciences, Faculty of Leadership Studies, and Faculty of Forestry & Environmental Management at the undergraduate, graduate, postgraduate and doctoral programs across disciplines.
  Under its state-of-the-art infrastructure, the University of New Brunswick has been regarded as a center for world-leading research and innovation in Canada for more than 230 years. The University of New Brunswick owns hi-tech laboratories, art studios, libraries, and computer centers, to impart a best-in-class learning system and maintains digitalized administration and a student support system.
  The University of New Brunswick is a university of global prominence and gains collaborations with several international universities for student exchange, study abroad programs, and sponsored research and technology transfer programs. To accomplish research excellence, The University of New Brunswick is responsible for 70 percent of all publicly sponsored research in the province of New Brunswick.

Address & Website of University of New Brunswick

Address:  Sir Howard Douglas Hall P.O. Box 4400 Fredericton, New Brunswick Canada E3B 5A3

Phone:  506-453-4666



University Type:  Public university

Computer Science Courses Offered by University of New Brunswick


  • Introduction to Computer Science (B.Sc)
  • Data Structures and Algorithms (B.Sc)
  • Computer Organization (B.Sc)
  • Theory of Computation  (B.Sc)
  • Computer Graphics (B.Sc)
  • Operating Systems (B.Sc)
  • Software Engineering (B.Sc)
  • Artificial Intelligence (B.Sc)
  • Computer Networks (B.Sc)
  • Database Systems (B.Sc)
  • Computer Security (B.Sc)
  • Advanced Computer Graphics (M.Sc. & Ph.D)
  • Advanced Software Engineering  (M.Sc. & Ph.D)
  • Advanced Operating Systems (M.Sc. & Ph.D)
  • Advanced Algorithms  (M.Sc. & Ph.D)
  • Advanced Computer Networks (M.Sc)
  • Advanced Database Systems (M.Sc. & Ph.D)
  • Advanced Computer Security (M.Sc. & Ph.D)
  • Mobile Computing (M.Sc. & Ph.D)
  • Distributed Computing (M.Sc. & Ph.D)
  • Natural Language Processing (M.Sc. & Ph.D)
  • Machine Learning (M.Sc. & Ph.D)
  • Advanced Computer Architecture (Ph.D)

  • Computer Science Research Areas - University of New Brunswick


    The University of New Brunswick is a research-intensive institution that offers various research opportunities in computer science. The research conducted at the university focuses on areas such as
     •  Artificial Intelligence
     •  Bioinformatics and Computational Science
     •  Cloud Computing
     •  Cybersecurity and Privacy
     •  Data Management; Analytics; and Mining
     •  Embedded Systems
     •  High Performance Computing
     •  Human-Computer Interaction
     •  Natural Language Processing
     •  Networking; Data Communications; and Wireless
     •  Optimization and Algorithmics
     •  Software Engineering
     •  Systems and Architecture

    Research Topics in Computer Science Research - University of New Brunswick

    Artificial Intelligence: 
     •  Machine Learning
     •  Natural Language Processing
     •  Vision and Image Processing
     •  Autonomous Agents and Robotics

    Bioinformatics and Computational Science:
     •  Genomics and Proteomics
     •  Computational Biology
     •  Algorithmic Complexity
     •  Computational Medicine

    Cloud Computing:
     •  Cloud Security
     •  Cloud Resource Management
     •  Cloud-Based Content Delivery Networks
     •  Cloud-Based Software Development

    Cybersecurity and Privacy:
     •  Network Security
     •  Cryptography
     •  Malware Detection and Prevention
     •  Privacy-Preserving Data Mining

    Data Management, Analytics, and Mining:
     •  Big Data Analytics
     •  Data Visualization
     •  Data Stream Processing
     •  Data Mining Techniques

    Embedded Systems:
     •  Embedded System Design
     •  Real-Time System Design
     •  Embedded Operating Systems
     •  Embedded Network Protocols

    High Performance Computing:
     •  Parallel and Distributed Computing
     •  Cluster Computing
     •  Grid Computing
     •  High Performance Networking

    Human-Computer Interaction:
     •  User Interface Design
     •  Human-Computer Interaction Design
     •  Human-Centered Computing

    Natural Language Processing
     •  Neural Network Models for Natural Language Processing
     •  Multi-task Learning for Natural Language Processing
     •  Natural Language Understanding and Semantic Parsing
     •  Natural Language Generation

    Networking, Data Communications, and Wireless
     •  Network Security and Cryptography
     •  Network Performance and Quality of Service
     •  Wireless Networking and Mobile Computing
     •  Network Protocols and Network Management

    Optimization and Algorithmics
     •  Design and Analysis of Algorithms
     •  Graph Algorithms and Graph Theory
     •  Combinatorial Optimization
     •  Approximation Algorithms

    Software Engineering
     •  Software Process and Software Product Quality
     •  Software Maintenance, Reengineering, and Reverse Engineering
     •  Formal Methods and Software Verification
     •  Software Testing and Program Debugging

    Systems and Architecture
     •  High-Performance Computing and Networking
     •  Distributed Systems and Cloud Computing
     •  Embedded Systems and Real-Time Systems
     •  Computer Architecture and Parallel Processing

    Computer Science Research Labs with Specialization - University of New Brunswick

    The University of New Brunswick owns a variety of well-respected computer science research labs actively working on a wide range of computer science projects.
     •  Advanced Computing Lab
     •  Computer Vision Lab
     •  Evolutionary Algorithms Lab
     •  Human-Computer Interaction Lab
     •  Image Processing Lab
     •  Intelligent Systems Lab
     •  Natural Language Processing Lab
     •  Networking and Distributed Computing Lab
     •  Robotics and Autonomous Systems Lab
     •  Software Engineering Lab
     •  Canadian Institute for Cybersecurity (CIC)
     •  Information Technology Centre (ITC)
     •  IBM Centre for Advanced Studies – Atlantic

    Scholarship Programs and Funded Projects for Computer Science - University of New Brunswick

     •  Canada Graduate Scholarships - Master-s Program
     •  NSERC Postgraduate Scholarships - Doctoral Program
     •  New Brunswick Graduate Scholarships
     •  University of New Brunswick Graduate Scholarships
     •  UNB Computer Science Research Scholarships
     •  UNB Computer Science Graduate Fellowships
     •  UNB Computer Science Graduate Awards
     •  NSERC Industrial Research Fellowships
     •  Vanier Canada Graduate Scholarships
     •  Killam Doctoral Scholarships

    Funded projects in computer science at the University of New Brunswick are

     •  Machine Learning for Autonomous Aerial Navigation
     •  Automated Path Planning for Robot Navigation
     •  Real-Time Sensor Fusion for Autonomous Driving
     •  Graph Representation Learning for Network Analysis
     •  Distributed Algorithms for Big Data Analytics
     •  AI-Based Data Analytics for Industrial Processes
     •  Autonomous Visual Perception for Robotics
     •  Automated Systems for Natural Language Processing
     •  Reinforcement Learning for Autonomous Robotics

    PhD Admission Procedure for Computer Science -University of New Brunswick

    The University of New Brunswick Fredericton delivers a Ph.D. in Computer Science program, and admission requirements are
     •  A bachelor-s degree in Computer Science or a closely relevant field with a minimum overall average of 76-79% 
     •  A statement of research interests and a research proposal
     •  A letter of reference
     •  An official transcript of all prior studies
     •  Proof of English language proficiency for applicants whose native language is not English
     •  Applicants also provide a research proposal and a statement of research interests