人工智能學碩士 - 香港大學專業進修學院: Advanced Technology & Computing課程
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Technology, Aviation, Engineering & Sciences Advanced Technology & Computing

MSc Artificial Intelligence
人工智能學碩士

New Course | Ulster University, United Kingdom
Awarded by
Ulster University, United Kingdom
Course Code
IT083A
Application Code
2045-IT083A
Study mode
Part-time
Start Date
12 Sep 2022 (Mon)
Duration
2 years
Language
English
Course Fee
Total: HK$120,000 paid in 4 instalments
(subject to annual revision without prior notice)
How to Apply
Deadline on 12 Aug 2022 (Fri)
Enquiries
25873234
25718480

The programme aims to prepare students for an industrial career, with skills in the fields of computing, knowledge presentation, reasoning, autonomic computing, robotics, machine learning, computer vision, natural language processing, data analytics in the context of AI, in addition to providing a relevant platform to embark on further research study. Students will also be able to apply the acquired skills in the development of AI systems and applications.

Ulster University

Ulster University was established in 1968 as the New University of Ulster. It merged with Ulster Polytechnic in 1984 under the University of Ulster banner, incorporating its four Northern Irish campuses under the University of Ulster banner. The university incorporated its four campuses in 1984; located in Belfast, Coleraine, Magee College in Derry, and Jordanstown. The university has branch campuses in both London and Birmingham, and an extensive distance learning provision. The university rebranded as Ulster University from October 2014 and this included a revised visual identity.

Ulster University has a national and international reputation for excellence, innovation and regional engagement and continues to make a major contribution to the economic, social and cultural development of Northern Ireland. It is a leading modern university ranked 126-150th in the European Teaching Rankings 2018 and 150-200th in the Young University Rankings 2020 of The Times Higher Education.

Ulster University also has an outstanding reputation for teaching and research, as evidenced by the outcomes of the National Student Survey (NSS) survey and the Research Excellence Framework. Coupled with world-class  facilities and a practical focus, creates an educational experience that develops skills, raises ambitions and prepares future leaders.

Programme Structure

The entire programme comprises 7 modules (180 UK credits in total), to be completed in 24 months. Upon completion of 180 credits (at FHEQ level 6/7), students will be awarded a Master of Science Artificial Intelligence. Upon completion of 120 credits (at FHEQ level 6/7), students can be awarded a Postgraduate Diploma in Artificial Intelligence.

Year

Module Title

Year 1

Knowledge Engineering and Computational Creativity

Big Data and Infrastructure

Machine Learning

Statistical Modelling and Data Mining

Year 2

Deep Learning and its Application

Autonomic Computing and Robotics

Masters Project

Assessment

Assessment for most modules is in the form of continuous assessments. Continuous assessment includes assignments, exercises, written reports, projects, presentations, practical skills assessments, portfolios and tests, depending on the nature of the modules.

News about the Internet of Things (IoT) Industry Development in Hong Kong:

 

Application Code 2045-IT083A -

Non-Local Higher and Professional Education (Regulation) Ordinance

This is an exempted course under the Non-local Higher and Professional Education (Regulation) Ordinance. It is a matter of discretion for individual employers to recognize any qualification to which this course may lead.

Knowledge Engineering and Computational Creativity

This module aims to
  • Introduce the concept of knowledge engineering, the state-of-the-art, and application scenarios;
  • Develop an understanding of the key concepts of knowledge engineering, including the tools and approaches;
  • Provide practical experience with state-of-the-art tools and libraries to build knowledge-based applications;
  • Promote the development of investigative and independent research and development skills.

Big Data and Infrastructure

This module aims to understand the selection criteria and use cases related to each class of database system.

Machine Learning 

This module aims to
  • To introduce the theory underpinning core algorithms and concepts in machine learning;
  • To provide the practical programming skills required to perform supervised and unsupervised machine learning on real data-sets;
  • To introduce students to areas of recent research in machine learning, such as probabilistic programming and explainable AI.

Statistical Modelling & Data Mining

Automated data collection tools lead to large amounts of data stored in databases, data warehouses and other information repositories. Automated data analytics and mining techniques are becoming essential components to any information system. The aim of this module is to equip students with a systematic understanding of knowledge of the underlying principles for the analysis of this data and the essential skills required for data mining and visualisation within complex, real-world context.

Deep Learning and its Application 

Deep learning is an emerging and important focus area of Artificial Intelligence (AI). It aims to learn models and patterns as in conventional machine learning approaches, but it has the ability to discover more accurate representations without manual intervention for new types of domains. More recent advances on deep learning have led to very successful applications in computer vision, natural language processing, autonomous computing, etc. Deep learning is one of the most highly sought-after skills in many industrial applications.

Autonomic Computing and Robotics

This module aims to
  • Develop expertise in autonomic/self-managing (self*) system concepts;
  • Provide expertise in how autonomicity may be designed into new and retrofitted into existing systems including using an agent based approach;
  • Explore practically coding AI & self* principles for Robotics
  • Stimulate interest in emerging Autonomic Computing & Robotics research that affects next generation AI & computation paradigms.

Masters Project

The research project offers the student an opportunity to complete a scholarly yet realistic piece of work during which material developed throughout the course and extended through in-depth literature research can be related and applied to a problem drawn from a research area. The project tests the inventiveness, the critical capacities, the project management and the in-depth knowledge and problem-solving skills of the student.

Applicants shall:
 (a)   
 (i)   hold a degree with at least 2ii Honours division in computing, engineering or cognate area; OR

  (ii) hold an equivalent qualification such as Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma in the subject areas of computing, engineering or related discipline.

    AND

(b)    provide evidence of competence in written and spoken English, such as
   (i) The honours degree (or equivalent) used as the basis for admission was taught and assessed in English; OR
   (ii) HKDSE English Language at Level 4 or above; OR
   (iii) HKALE Use of English at Grade D or above; OR
   (iv) HKASL Use of English at Grade D or above; OR
   (v) HKCEE English Language at Level 3 or above; OR
   (vi) an overall band of 6.0 with no subtests lower than 5.5 in the IELTS.
Application Fee

HK$150 (Non-refundable)

Course Fee
  • Total: HK$120,000 paid in 4 instalments
    (subject to annual revision without prior notice)

Application Form Download Application Form

Enrolment Method
Payment Method
1. Cash, EPS, WeChat Pay Or Alipay

Course fees can be paid by cash, EPS, WeChat Pay or Alipay at any HKU SPACE Enrolment Centres.

2. Cheque Or Bank draft

Course fees can also be paid by crossed cheque or bank draft made payable to “HKU SPACE”. Please specify the programme title(s) for application and the applicant’s name.. You may either:

  • bring the completed form(s), together with the appropriate course or application fees in the form of a cheque, and any required supporting documents to any of the HKU SPACE enrolment centres;
  • or mail the above documents to any of the HKU SPACE Enrolment Centres, specifying  “Course Application” on the envelope.  HKU SPACE will not be responsible for any loss of payment sent by mail.
3. VISA/Mastercard

Applicants may also pay the course fee by VISA or Mastercard, including the “HKU SPACE Mastercard”, at any HKU SPACE enrolment centres. Holders of the HKU SPACE Mastercard can enjoy a 10-month interest-free instalment period for courses with a tuition fee worth a minimum of HK$2,000; however, the course applicant must also be the cardholder himself/herself. For enquiries, please contact our staff at any enrolment centres.

4. Online Payment

Online application / enrolment is offered for most open admission courses (course enrolled on first come, first served basis) and selected award-bearing programmes. Application fees and course fees of these programmes/courses can be settled by using "PPS by Internet" (not available via mobile phones), VISA or Mastercard. In addition to the aforesaid online payment channels, continuing students of award-bearing programmes, if their programmes offer online service, may also pay their course fees by Online WeChat Pay, Online Alipay and Faster Payment System (FPS). Please refer to Enrolment Methods - Online Enrolment  for details.

Notes

  • If the programme/course is starting within five working days, application by post is not recommended to avoid any delays. Applicants are advised to enrol in person at HKU SPACE Enrolement Centres and avoid making cheque payment under this circustance.
  • Fees paid are not refundable except under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment), subject to the School’s discretion. In exceptional cases where a refund is approved, fees paid by cash, EPS, WeChat Pay, Alipay, cheque or PPS (for online payment only) will normally be reimbursed by a cheque, and fees paid by credit card will normally be reimbursed to the payment cardholder's credit card account.
  • In addition to the published fees, there may be additional costs associated with individual programmes. Please refer to the relevant course brochures or direct any enquiries to the relevant programme team for details.
  • Fees and places on courses cannot be transferrable from one applicant to another. Once accepted onto a course, the student may not change to another course without approval from HKU SPACE. A processing fee of HK$120 will be levied on each approved transfer.
  • Receipts will be issued for fees paid but HKU SPACE will not be repsonsible for any loss of receipt sent by mail.
  • For payment certification, please submit a completed form, a sufficiently stamped and self-addressed envelope, and a crossed cheque for HK$30 per copy made payable to "HKU SPACE" to any of our enrolment centres.