Data Science and Artificial Intelligence MSc – Online Course
Explore the domains of artificial intelligence and data science through this conversion degree.
Designed for students from a non-computing background, this programme will develop your key knowledge and technical skills that you can apply immediately in the workplace. You will learn how to gather and analyse information to make data-driven decisions, and how intelligent systems can be used across a range of contexts.
Your learning will be supported by the cutting-edge research into the field by the University of Liverpool, who is a world leader in data science and artificial intelligence research. Our Digital Innovation Facility, opening in 2021, will provide a purpose-built environment for cutting-edge research into multiple academic disciplines including AI, robotics and data analytics.
You will have access to an online development environment to practice and refine your new technical skills, which also contains all of the technologies and software you will need for the course – inclusive within your tuition fee.
Throughout the course you will be encouraged to apply your new skills to a range of real-world challenges, and upon completion you will be prepared to research, create and implement solutions to technical problems within your future career.
Download a prospectus for more details on this programme including module information.
This programme consists of the following modules. You are required to complete 180 credits to achieve a full Master of Science (MSc), 120 credits to achieve the postgraduate diploma (PGDip), and 60 credits to achieve the postgraduate certificate (PGCert).
- 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)
- Elective modules: choose three:
- Reasoning and Intelligent Systems (15 credits)
- Machine Learning in Practice (15 credits)
- Multi-Agent Systems 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)
For more information on the modules, including syllabus and learning outcomes, please download our programme booklet.
All applications will be considered on a case-by-case basis. If you want to discuss your previous qualifications and experience before applying, please contact us now via LiveChat.
Applicants should possess either:
- 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.
All applicants must provide evidence that they have an English language ability equivalent to an IELTS (academic) score of 6.5.
If you don’t have an IELTS or equivalent certificate, you can take our free online English test to assess your proficiency. You don’t need to prove your English ability if you are a national of, or have completed a qualification equivalent to a UK degree in, any of these countries.
These fees* are fully inclusive of all costs, including all teaching materials, core textbooks, assessments and resits.
Scholarships and discounts
You may be able to benefit from the following scholarships and discounts:
- Regional Scholarships of up to 15%. To find out the scholarship offered in your region, please make an enquiry now.
- 10% discount for University of Liverpool alumni
- 5% discount for up-front full tuition fee payment
We aim to make it as easy as possible for you to cover the costs of your studies. You could benefit from:
- Simple monthly payment plan provided to spread the cost over the duration of study
- Students living in England may be eligible for a postgraduate loan to cover some of the programme cost.
Please speak to our admissions team for more details of fees, scholarships, discounts and support.
*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.
Apply for this course by completing a simple online form.
In order to apply, you will need to provide copies of the following supporting documentation:
- School or college transcripts/certificates
- University transcripts and certified translations if applicable
- Degree certificates
- Evidence of English language proficiency (EU and international applicants only)
- Personal statement
- One reference (on letter headed paper, signed and dated)
- An up-to-date CV.
Acknowledgement of your application
The admissions team will acknowledge receipt of your application and will pass it to the Department Head and/or appropriate academic department(s) for consideration.
Students with disabilities
We welcome applications from students with disabilities and consider them on the same academic grounds as those of other students. If you have a disability, medical condition and/or support needs it is important that you inform the University so that you receive appropriate support.
We have regular start dates throughout the year with regular application deadlines. Applicants are encouraged to apply in good time, particularly if they have special requirements that will need to be taken into consideration.
There are a range of opportunities within this fast-growing field for those trained in data science and artificial intelligence – and you will also be prepared for roles in other computer science settings. You may also choose to apply your new learnings to interdisciplinary roles related to your undergraduate degree or professional background. Suitable roles may include data analyst, data scientist, database manager, machine learning practitioner and IT consultant.
Alongside the subject-specific knowledge you will gain during the programme, you will also develop professional skills such as communication, teamwork, critical thinking and research. These will enhance your CV, allowing you to improve your career prospects and access more senior roles.
We recently recorded a short video for our Virtual Open Week in which Frans Coenen, Professor of Computer Science, discusses the online postgraduate programmes the Department of Computer Science offers, including who the programmes are for and what you will learn as a student.