University of Liverpool - MSc Artificial Intelligence
人工智能碩士

MSc Artificial Intelligence

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University of Liverpool, Foundation Building, Brownlow Hill, Liverpool, L69 7ZX   View map

MSc Artificial Intelligence

With the application of artificial intelligence (AI) growing rapidly in the computer science sector and across all industries, this specialist programme will equip you with key competencies and skillsets essential to excel in your profession.

Designed to sharpen your expertise within the field, the Artificial Intelligence MSc programme will nurture your practical skills and refine your programming techniques. It enables you to work effectively with strong knowledge of how these systems operate and to make intelligent systems more effective.

Throughout the course, you will gain substantial understanding in core modules that focus on topics including theory and practice of AI programming and development, machine learning in practice, robotics, deep learning and natural language processing. You will also explore relevant applications and programming techniques of the discipline and gain the skills to practically apply them to a range of industries in which you could choose to pursue a career.

 

1、Key Factors

Foundation of knowledge aside, you will also acquire insightful skills such as communication, teamwork, critical thinking and research in a professional learning environment. These will enhance your CV, enabling you to improve your career prospects.

Artificial intelligence plays a major role in how intelligent systems can change the future. Graduates will see their professional prospects broadened across a vast range of careers in IT and other sectors such as software solutions, machine learning and research, particularly related to design and development of intelligent systems. Potential job titles include data scientist, AI consultant, AI developer, information strategy manager, machine learning engineer and research scientist.

2、Programme Excellence

  • Core information developed by subject-leading experts in the field and closely aligned with both industry and academic best practice
  • Students will gain insights from a balance of theory and practice of AI development and programming
  • Graduates are able to succeed in interdisciplinary specialist roles not limited to computer science and information technology
  • Potential job titles include data scientist, AI consultant, AI developer, information strategy manager, machine learning engineer and research scientist

3、Course Structure

Core modules

  • Global Trends in Computer Science (15 Credits)
  • Machine Learning in Practice (15 Credits)
  • Multi-Agent Systems (15 Credits)
  • Robotics (15 Credits)
  • Deep Learning (15 Credits)
  • Reasoning and Intelligent Systems (15 Credits)
  • Natural Language Processing and Understanding (15 Credits)
  • Research Methods in Computer Science (15 Credits)
  • Computer Science Capstone Project (60 Credits)

Programme Start: 5 Oct 2023

Durations: 30 months^

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^The actual duration may be longer or shorter depending on your speed of study, study options chosen and module availability.

 

4、Learning and assessments

Teaching methods

You will take part in innovative online teaching methods and a range of interesting and thought-provoking exercises. Core information is developed by subject-leading experts in the field and closely aligned with both industry and academic best practice, underpinned by rigorous theoretical and practical topics, examples and cases. Our cutting-edge learning materials are developed by tutors who are experts in their fields and who have exceptional knowledge of how to support online students. You will learn through specially designed lecturecasts, synchronous seminars, carefully curated reading lists, and asynchronous discussions to enhance peer-to-peer learning opportunities. All teaching is delivered through a Virtual Learning Environment (VLE) specifically tailored for online learning. Student groups are kept in small groups, with no more than 20 in each cohort.

 

Assessment method

Assessment is by coursework only – no examinations required. Assessments align with the University of Liverpool commitment to have relevant, authentic and varied activities and are designed to lead directly to enhanced professional and personal objectives as well as being appropriate to the academic discipline. Assessments are at regular intervals and designed to fit around employment and other commitments.

 

5、Entry Requirement

  • A degree in computer science or a closely related subject, equivalent to a UK bachelor’s degree, coupled with two years relevant IT professional experience; or
  • Professional work experience in IT or related field, and/or other prior qualifications, which will be considered on a case-by-case basis

English language requirements

All applicants must provide evidence that they have an English language ability equivalent to an IELTS (Academic) score of 6.5.

6、Fee and Funding

£16,065*
This fee is fully inclusive of all costs, including all teaching materials, core textbooks, assessments and resits.

Full payment discount

If you choose to pay the full tuition fee upfront, you will receive an extra 5% discount.

Simple monthly payment plan is also provided to spread the cost over duration of study.

Regional Scholarship
A Regional Scholarship of 5% is available for students based in Hong Kong for the 2023/24 academic year.

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^An English proficiency assessment known as KITE which serves as a substitute for the IELTS examination, is available.

^Individuals without a formal degree may still be eligible to apply by submitting a reference letter that validates their subject area expertise or relevant experiences. This could include individuals with extensive management or field experience over a significant number of years.

^All tuition fees shown are net of any applicable sales tax payable by you in your country of residence. Where we are required to add sales tax at the local statutory rate, this will be added to the tuition fees shown and confirmed during the payment process.