This research-intensive programme develops advanced skills, education and training in the areas of artificial intelligence research, including pattern recognition, computer vision, machine intelligence, and intelligent systems.
With a strong emphasis on hands-on experience and practical skills development, you will gain in-depth knowledge and understanding of topics such as advanced pattern recognition, deep learning in computer vision, image and video processing, and reinforcement learning.
After successfully completing all taught modules, students are required to carry out a one-year-long research project.
XJTLU-JITRI Joint-Supervision Pathway
This programme also offers XJTLU-JITRI joint supervision pathway which leverage the strength from both XJTLU and the research institutes and leading enterprises of Jiangsu Industrial Technology Research Institute (JITRI) to promote in-depth integration between industry, education and research. Through the unique training model integrating specialised module study, industrial research practice and dual supervision mechanism, we aim to cultivate cross-disciplinary talents who are innovative, application-oriented and with high-level international perspective.
Why should I study Pattern Recognition and Intelligent Systems at XJTLU?
Take advantage of excellent research facilities equipped with advanced experimental equipment and modern computer labs, supported by word-class research experts in the area of machine learning and pattern recognition
Work in cutting-edge research areas and have close cooperation with famous research institutes and industry to solve major challenges
Gain advanced research skills in a fast-growing field with good job prospects around the world
Taught in English by highly-experienced academic staff with wide variety of international backgrounds
Earn a University of Liverpool degree that is recognised by the Chinese Ministry of Education
Knowledge and skills
By the time you graduate from the MRes Pattern Recognition and Intelligent Systems, you will be able to:
use knowledge and theories to solve practical problems in the field of image processing, video processing, and computer vision;
use mathematical knowledge and theories to solve practical problems in the field of pattern recognition, machine learning, deep learning and reinforcement learning;
demonstrate a deep understanding of research methods and creative problem-solving skills: identifying engineering problems and the critical analysis, design and implementation of an innovative solution;
work productively with improved organisation, information handling and project management skills.
Careers
There is huge market demand for research expertise in the areas of pattern recognition, machine intelligence, deep learning, and computer vision. Graduates from this programme will be equipped with the skills and knowledge needed to go on to doctoral training or professional practice in research & development engineering companies such as Microsoft, Google, Facebook, Baidu, Alibaba or Tencent.
