University of Liverpool - MSc Computer Science
計算機科學碩士

Our Department of Computer Science is well established with a strong international reputation for research in artificial intelligence and algorithms. The 2014 Research Excellence Framework rated 97% of our research as being world-leading or internationally excellent – the highest proportion for any computer science department in the UK. Through our Digital Innovation Facility, opening in 2021, we provide a stimulating, purpose-build environment for collaborative research in emerging digital technologies. 

You will learn from highly-regarded leading experts and passionate lecturers in a culture of research excellence – from software development to databases and information systems, to machine learning and web technology. 

The career prospects for our graduates reaches over 90% of the University of Liverpool’s computer science graduates going onto well-paid jobs. You will access careers across this sector and the highly popular field of artificial intelligence, with job roles ranging from software engineer, machine learning practitioner, big data analyst, network administrator, database manager, IT consultant, AI developer, research scientist to information strategy manager.

• Provide a comprehensive and holistic introduction to current trends in computer science, such as enterprise systems management, data protection and big data analytics, cyber security and so on
• Provide in-depth understanding of operation and usage, administration and maintenance of databases systems
• Demonstrate a comprehensive and systematic understanding of the legal frameworks in which machine learning operates
• Provide a wide-ranging practical knowledge of an established machine learning workbench.
• Practical online development: Access to state-of-the-art technologies and industry-standard solutions to refine your technical skills, available as cloud services, open-source software or commercials technology
• Global connection: After graduation, you will immediately join a global community of more than 258,000 alumni and establish life-long networks and access to a wide variety of career resources

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. During the study journey, students will learn through interactive individual activities, case studies, group tasks and discussion boards; these will be primarily asynchronous, but opportunities for synchronous interaction will be provided. 

 

Assessment method

Assessment is by coursework only – no examinations required. Instead, a diverse range of assessments are used throughout the programme designed to mirror circumstances that students may experience within a professional context. This ensures a range of opportunities are given to students in showing evidence of their learning, understanding that people may perform better in certain assessments than others.

Virtual learning environment (VLE) is at the centre of your online study experience. It is the platform where you can find your study timetable, view interactive lecturecasts, exchange knowledge with others in discussion forums, access resources and e-library and submit your assignments. You can learn on demand, study at any time, on any device, from anywhere with an internet connection. There is a study skills hub to help you improve and maintain your academic skills, from planning your assignments, understanding academic integrity and referencing, to using the online library and improving your time management.

• A minimum of a 2:2 class degree in a suitable technical subject other than computer science or IT, equivalent to a UK bachelor’s degree, coupled with two years’ experience in employment; or
• Professional work experience and/or other prior qualifications, which will be considered on a case-by-case basis.

Full tuition fee: £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 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.