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MSc Artificial Intelligence

Master Programme

MSc Artificial Intelligence

Part Time

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.

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.
 

This programme is also available as a postgraduate certificate and a postgraduate diploma. 



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





Course Structure

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


Duration: 30 months^

Programme Start: 10 August, 12 October

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

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 methods
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.

Entry Requirements

Entry Requirements

  • 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.

 

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Fees and Funding

Full tuition fee: £15,300*

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.

 

10% discount for Kaplan HK Alumni

If you have completed a course in Kaplan Hong Kong campus, you are eligible to enjoy a 10% discount. (This offer is valid for 2021/22 academic year only)

 

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*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.

University

As one of Europe’s leading provider of advanced programmes and part of its global vision to offer world-class higher education online, the University of Liverpool is the premium choice that brings to the forefront a wealth of flexible career-focused postgraduate programmes tailored for working professionals around the globe.

Solid and sustainable partnership
Offering online programmes since 2000, the University of Liverpool has forged a robust partnership with Kaplan Open Learning, an experienced provider in online higher education learning with a track record of success, to host postgraduate degree programmes. With this venture, the University and Kaplan are dedicated to offering the highest quality programmes and maintaining quality assurance through which students worldwide will benefit from the flexibility of online delivery.

A member of the Russell Group
Founded in 1881, the University of Liverpool is a member of the elite Russell Group of research-led universities in the UK and has been ranked in the top 200 universities worldwide. The broad range of online programmes on offer spans across professional disciplines from Management, Business, Computing, Psychology and Health, all with an international edge.

All-embracing support
Teaching is delivered through a state-of-the-art learning platform, allowing students full access to all resources, interactive study materials and a comprehensive eLibrary 24/7, from anywhere in the world. Students will also benefit from holistic academic support throughout the entire course from student advisers and subject tutors.

The original redbrick
All online degrees are awarded by the University of Liverpool with the same validity and credibility as an equivalent degree awarded to campus-students. Upon completion, online students will be invited to receive their degrees in a graduation ceremony at the University of Liverpool campus in the North West of England, and will join a global network of more than 219,000 alumni.