Pursue a career in this high-demand sector while gaining a deep and systematic understanding into the domains of data science and AI with this fully online, part-time Data Science and Artificial Intelligence MSc from the University of Liverpool.
This conversion degree is designed for students from a non-computer science background, allowing you to gain a generalist masters in this specialist subject. The fields of data science and artificial intelligence continue to grow in importance to businesses from all sectors, and this programme benefits from the University of Liverpool’s cutting-edge research in this discipline.
Through this course you will:
Achieve a generalist degree in a specialist subject. This conversion degree is designed to provide students from a non-computer science background with a specialist set of knowledge and technical skills that have immediate application within the workplace.
Develop your skills in a culture of research excellence. The University of Liverpool has a 20-year track record of offering online programmes and is a world leader in data science and IT research. Through our Digital Innovation Facility, opening in 2021, we will provide a purpose build environment for collaborative academic research in emerging digital technologies.
Study practical solutions to real-world problems. This programme will provide you with the necessary knowledge to research, propose and implement creative solutions to practical problems, and furnish you with a systematic insight into current thinking within data science and AI.
Access our online development environment to practice and refine your new skills. Throughout your programme, you will be exposed to state-of-the-art technologies and have access to industry-standard solutions, available to you as cloud services, open-source software or commercials technology; all included within your tuition fee.
Download a prospectus or visit our website for more details on this programme, including module information.
Modules
The Data Science and Artificial Intelligence MSc consists of the following taught modules and a final dissertation project.
There is a brief break scheduled between modules to allow students to refresh themselves and reflect on what they have learned.
Shorter postgraduate diploma (120 credits) and postgraduate certificate (60 credits) awards are also available in this subject.
Global Trends in Computer Science (15 credits)
Mathematics and Statistics for Data Science (15 credits)
Software Development in Practice (15 credits)
Databases and Information Systems (15 credits)
3 elective modules from (3x15 credits):
Reasoning and Intelligent Systems
Machine Learning in Practice
Multi-Agent Systems
Robotics
Deep Learning
Natural Language Processing and Understanding
Deep Learning (15 credits)
Research Methods in Computer Science (15 credits)
Computer Science Capstone Project (60 credits)
Learn from industry experts.
This programme is delivered by the Department of Computer Science, who are known worldwide for their excellence in artificial intelligence research and have been at the forefront of key developments in computer science since 1983. The 2014 Research Excellence Framework rated 97% of the department’s research as being world-leading or internationally excellent, the highest proportion of any Computer Science department in the UK.
Learn online anytime, anywhere
Get the University of Liverpool experience wherever you are in the world. This 100% online course features interactive classes and regular contact with staff and fellow students across the globe. Teaching is delivered through our state-of-the-art Virtual Learning Environment (VLE), which provides students with access to all resources required for interactive study online. On this platform, you will be encouraged to work collaboratively with classmates and actively read around your topic through our comprehensive library of eBooks and journals. 
Assessments are exclusively through online assignments rather than examinations. You will be assessed through a range of activities, including written assignments, discussion forum participation and journal entries. 
Love what you've read so far?
Download a prospectus or visit our website for more information on this programme. Alternatively, you can contact one of our admission advisers to get your questions answered.
One of the best ways to see if the programme is right for you is to join one of our regular virtual events where you will be introduced to our range of online programmes, our online learning facilities, and participate in Q&A’s with staff to help you make the best decision about the future of your education.
