MRes Pattern Recognition and Intelligent Systems

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Overview

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.

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.

Modules

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.

Fees

Scholarships

XJTLU offers a generous scholarship of up to 50 percent of the total tuition fee for all full-time masters programmes based on academic merit. Should you wish to apply for XJTLU master scholarship, please submit a scholarship application letter in your application stating the reasons why you should be considered.

Entry requirements

Minimum entry requirements

UK

Upper second class (2:1) honours

China

  • 211 Project; Top 100 of 2019 Shanghai Ranking--75 percent or above
  • Non 211 project; Non Top 100 of 2019 Shanghai ranking – 80- 85% percent or above, depending on your Undergraduate institution

Note: Shanghai Ranking of The Best Chinese Universities is subject to annual update http://www.zuihaodaxue.com/zuihaodaxuepaiming2019

Chinese applicants are not required to take the MoE postgraduate entrance exam..

North America

3.0 Cumulative GPA (out of 4) or 3.2 Cumulative GPA in the final two years of your undergraduate programme

Other regions

Equivalent academic qualifications

Academic background

The normal entry requirement is a UK 2.1 Honours degree or better in a related subject (such as digital media technology, electrical engineering, computer science and technology, mechatronics and robotic systems) from an accepted University or other Institute of Higher Education. Alternative qualifications and all non-UK qualifications which are equivalent to a UK science- or engineering-based honours degree may also be considered. In some cases, a good UK 2.2 honours degree may be considered if strong performance in relevant subjects is demonstrated or the applicant has relevant industrial experience.

English language requirements

If English is not your native language or if you have not studied in English at degree level, you will need to provide evidence of your English proficiency. You should normally possess one of the following qualifications:

  • IELTS: 6.0 (minimum of 5.0 in all sections)
  • TOEFL iBT: 80

If you miss the English language requirements by 0.5 – 1.0 of an overall IELTS band but meet the language requirements for the Pre-sessional English (PSE) courses (including minimum component scores or equivalents), you may be accepted onto the PSE course subject to Programme Director’s approval. Upon successful enrolment on the PSE course, you will be able to change your XJTLU Master’s offer letter to ‘Unconditional’ for English level.

If you are a conditional offer holder, you can also send an email to pgadmissions@xjtlu.edu.cn to apply to take the onsite Password English language test provided by XJTLU in lieu of an IELTS/TOEFL or its equivalent.

Please note that the Password Test is only available to students who have been issued a conditional offer to study at XJTLU. The University provides one Password Test opportunity for each conditional offer holder. Based on the score, students may be admitted or may be required to take and successfully complete the five- or eight-week intensive English presessional course.

Additionally, students who are admitted onto a Master’s programme by taking the Pre-sessional English (PSE) Course are required to complete English language modules listed on the Programme Specification on a pass/fail basis as part of their Additional Learning Activity plan during their studies at XJTLU.

Artificial intelligence (AI) is changing our lives by recognising faces, speech and text, and so on. Everything has a pattern. Our programme provides advanced and systematic education of AI technologies including pattern recognition, deep learning and reinforcement learning.

Qiufeng Wang Programme Director

How to apply

Applications should be submitted via our online application system:

  1. Click/tap the APPLY link
  2. Create an account or log in to your existing account
  3. Complete your application

Once your application account is successfully created, enter all the information required in the application form carefully and make sure the information you provide is correct, complete and up to date. Upload the required documents to the corresponding fields.

You may log-in to view your application form at any time. If you need to provide any additional supporting documents after you submit the application online, please send the documents to pgadmissions@xjtlu.edu.cn(with your application ID, name, and applied programme name).

For further details of how to successfully apply to study at XJTLU, please visit the how to apply page.