Data Science & Artificial Intelligence
Explore the domains of artificial intelligence and data science through this conversion degree.
Mode of Study
11 Jan 2022
About the Programme
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.
What is Data Science and Artificial Intelligence?
One of the most exciting areas of computer science is data science and artificial intelligence. Both of these fields study the applications of data in modern businesses and modern engineering, with artificial intelligence focused on using data to develop intelligent systems that can think and learn for themselves.
Developers, engineers, analysts and scientists all have a role to play in the data science and machine learning sector. Most of these positions start with getting the right education, such as a master’s in data science, to give them the complex scientific knowledge needed to thrive in the industry.
- 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)
- 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.
- MSc: £15,300 These fees* are fully inclusive of all costs, including all teaching materials, core textbooks, assessments and resits.
- 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
- An up-to-date CV.
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
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