MRes Pattern Recognition and Intelligent Systems

The research-intensive MRes Pattern Recognition and Intelligent Systems at XJTLU develops advanced skills in artificial intelligence research, including pattern recognition, computer vision, machine intelligence and intelligent systems. The 24-month, English-taught program covers advanced pattern recognition, deep learning in computer vision, image and video processing, and reinforcement learning, followed by a one-year research project. Graduates earn a University of Liverpool degree recognised by China's Ministry of Education.

The MRes Pattern Recognition and Intelligent Systems at XJTLU is a research-intensive program developing advanced education and training in artificial intelligence research. With a strong emphasis on hands-on experience and practical skills, students gain in-depth knowledge of advanced pattern recognition, deep learning in computer vision, image and video processing, and reinforcement learning. After completing taught modules, students carry out a one-year research project. The program offers two pathways — Large Scale Models and Vision Processing — and an XJTLU-JITRI joint-supervision pathway that integrates specialised study with industrial research practice and dual supervision.

• Research-intensive MRes with a one-year research project
• Two pathways: Large Scale Models and Vision Processing
• XJTLU-JITRI joint-supervision pathway with industry research practice
• Excellent research facilities and modern computer labs
• University of Liverpool degree recognised by China's Ministry of Education

An undergraduate degree, normally in computer science, engineering, mathematics or a related field.

English is the medium of instruction; applicants must meet XJTLU's standard English language entry requirements for postgraduate programs.

Not stated on official pages.

• Academic transcripts
• Degree certificate
• English language test report
• Personal statement
• Recommendation letter(s)

Check your eligibility and academic background | Prepare academic transcripts and degree certificate | Prepare your English language test result | Prepare your personal statement and recommendation letter(s) | Submit your application through the university admissions system | Await the admission decision

Not stated on official pages.

The Large Scale Models Pathway includes Spoken Language Processing, Natural Language Processing, Advanced Pattern Recognition, Reinforcement Learning and the MRes Project. The Vision Processing Pathway includes Image and Video Processing, Deep Learning in Computer Vision, Advanced Pattern Recognition, Reinforcement Learning and the MRes Project. Both pathways include MRes Project Preparation and a two-semester MRes Dissertation Project.

Graduates are equipped for doctoral training or professional practice in research and development engineering at companies such as Microsoft, Google, Facebook, Baidu, Alibaba and Tencent, in pattern recognition, machine intelligence, deep learning and computer vision.