名稱
地址
University of Liverpool, Foundation Building, Brownlow Hill, Liverpool, L69 7ZX View mapMSc Data Science & Artificial Intelligence
Designed for students from a non-computer science or IT background, this Data Science and Artificial Intelligence MSc programme allows you to obtain a generalist Masters in a specialist subject by developing essential skills and knowledge to apply in the workplace. You will learn how to collect and analyse information to make data-driven decisions, and how intelligent systems can be applied across various contexts.
1、Key Factors
Benefit from our Department of Computer Science that is renowned for cutting-edge research in artificial intelligence and data science. 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. Our Digital Innovation Facility, opening in 2021, will offer a purpose-build environment for collaborative research in academic disciplines including AI, robotics and data analytics.
Throughout the programme, you will learn from a wide variety of topics, from software development to mathematics and statistics. Upon completion, you will develop the necessary tools to research, propose and implement robust solutions to technical problems in future career, in addition to gaining a systematic insight into current thinking within the areas.
The course will equip you for a career in this high-demand sector or in other computer science settings, including interdisciplinary roles related to your undergraduate degree. You can also excel in a wide range of industries including healthcare, government agencies and technology, pursuing positions such as data analyst, data scientist, database manager, machine learning practitioner and IT consultant.
2、Programme Excellence
- Pioneering online delivery: Our University was amongst the first to deliver wholly online taught programmes back in 2000, providing state-of-the-art education environment and learning experience for students
- Modules focus on research method, delivered by the university that is a world leader in data science and artificial intelligence research
- Provide students with a deep and systematic understanding of a wide range of current topics in the field of robot control & with a deep understanding of the legal and ethical frameworks in which robots operate
- In-depth understanding of established techniques of machine learning, its real-world application and the legal contexts in which machine learning operates
- 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
3、Course Structure
Core modules
- Global Trends in Computer Science (15 credits)
- Mathematics and Statistics for Data Science and AI (15 credits)
- Software Development in Practice (15 credits)
- Databases and Information Systems (15 credits)
3 elective modules from (3×15 credits):
- Reasoning and Intelligent Systems
- Machine Learning in Practice
- Multi-Agent Systems
- Robotics
- Deep Learning
- Natural Language Processing and Understanding
- 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. 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.
5、Virtual learning environment (VLE)
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 lecture casts, 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.
6、Entry Requirement
- 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
English language requirements
All applicants must have reached a minimum required standard of English language and are required to provide evidence of this. Successful applicants from outside the UK must have an International English Language Testing System (IELTS) score of 6.5 overall or equivalent
7、Fee and Funding
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.
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.