Xi'an Jiaotong-Liverpool University

China
3 Scholarships 39 Programs 3 Degree levels
Masters

Pattern Recognition and Intelligent Systems

DegreeMasters
FieldMRes PRIS
Duration2 years
Tuition100000.00

Overview

The Pattern Recognition and Intelligent Systems MRes at Xi’an Jiaotong-Liverpool University builds advanced research and technical capability in areas such as deep learning for computer vision, image/video processing, reinforcement learning, and intelligent systems. You complete taught modules and then undertake a substantial research project.

About this programme

Overview

The Pattern Recognition and Intelligent Systems MRes program at Xi’an Jiaotong-Liverpool University is designed to enhance your research and technical skills in advanced topics such as deep learning, computer vision, image and video processing, and intelligent systems. This program combines theoretical learning with practical research, providing you with a comprehensive understanding of the field.

What you'll study

The MRes program consists of a blend of taught modules and a significant research project. The taught modules establish a solid foundation in technical expertise and research methodologies, culminating in a research project that showcases your ability to conduct independent research.

  • Taught modules (core):
    • Deep Learning in Computer Vision
    • Image and Video Processing
    • Advanced Pattern Recognition
    • Reinforcement Learning
  • Research project (required):
    • One extended research project undertaken after completing the taught modules
    • Supervised by academic staff
    • Involves research planning, experimentation and analysis, followed by a final project submission

Note: The titles and sequence of modules may vary by intake, and elective options, if available, will adhere to the university's MRes regulations.

Entry requirements

To be eligible for the MRes program, applicants should ideally hold a Bachelor’s degree with Upper Second Class honors (or equivalent) in a related field such as computer science, software engineering, electrical/electronic engineering, or digital media technology. Alternative qualifications may be considered if they have a strong engineering or science focus. In some cases, a good Lower Second Class honors degree may be accepted, provided the applicant demonstrates strong performance in relevant modules or possesses relevant industrial experience.

For those with qualifications below the UK 2:1 standard, admission may still be attainable with an appropriate engineering qualification and relevant work experience.

Career prospects

Graduates of the Pattern Recognition and Intelligent Systems MRes program will be well-equipped for various career paths in sectors such as artificial intelligence, data science, and software development. The skills acquired during the program will enable you to pursue roles in research, industry, or further academic study, making you a valuable asset in the rapidly evolving technology landscape.

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Programme details are indicative and may change — always verify current information with the official university website before applying.