MSc Data Science and Artificial Intelligence with a Year in Industry

at University of Liverpool

Compulsory modules

• Research Methods in Computer Science 
• Programming Fundamentals 
• Maths and Statistics for Ai and Data Science 
• Data Mining and VIsualisation
• Applied Artificial Intelligence 
• MSc Placement Experience 
• MSc Industrial Project 
   

Optional modules

• Database and Information Systems 
• Web Programming 
• Artificial Intelligence and Communication B 
• MSc Group Project
• Machine Learning and Bioinspired Optimisation 
• Computational Intelligence 

The MSc Data Science and Artificial Intelligence is for those who are are seeking alternative career opportunities, within the context of the Data Science and Artificial Intelligence industry.  The course is suitable for those who have done a first degree in a subject not related to Computer Science.
 

You will need a high 2:1 Bachelors Degree with Honours (or above), and be expected to have the majority of module marks in this range, in a subject other than Computer Science (or subject closely related to Computer Science). This includes students with first degrees from near-STEM, far- STEM and even non-STEM subjects. Students from under-represented-groups within the computer science industry are particularly welcome.
 

English language qualifications

All applicants must have reached a minimum required standard of English language, and are required to provide evidence of this. Qualifications accepted by the University include: GCSE English; GCE O level English; AS Level English; A Level English Language; IELTS; TOEFL; Cambridge Proficiency etc. 
 

If you meet the academic requirements of the course but do not have the required level of English Language, it is possible for you to come and study at the University on one of our Pre-sessional EAP programmes.  Please see the English Language Centre website for further information about these programmes;
 

• IELTS    6.5 (with a minimum of 5.5 in each component)
• TOEFL iBT    88 or above with minimum scores in components as follows: Listening and Writing 17, Reading 17, Speaking 19.
• International Baccalaureate    Standard Level 5
• Hong Kong use of English AS level    C
• INDIA Standard XII    70% or above from Central and Metro State Boards
• WAEC    C4-6
   

Please be advised that TOEFL is no longer classified by UK Visas and Immigration as a Secure English Language Test (SELT). However, at the current time the university is continuing to accept TOEFL, at the required level, for entry on to Undergraduate and Postgraduate academic programmes. 

Tuition fees (Home)
 

• The University's tuition fees are normally fixed at yearly intervals and follow Government guidelines on minimum levels. The normal tuition fee for Home (UK) postgraduate taught students per year (for the academic year 2022/23, unless otherwise specified) are stated below.  Please note that part-time fees are charged at 50% of the full-time fee shown below per year (unless otherwise specified). 
• In addition to your tuition fees, you may incur other costs in relation to your studies such as photocopying in the library, buying textbooks and specialist equipment or going on field classes. See our study costs page for full details.
   

Fee for this course    Year 1: £11,350

International students
 

• International students are required to pay the full costs of their tuition in the UK with each university setting its own international fees. 
• The University of Liverpool's fees represent excellent value for money for a Russell Group University. The normal tuition fee for full-time international postgraduate taught students per year (for the academic year 2022/23, unless otherwise specified) will be as follows:
   

International fee for this course    Year 1: £25,050

There is a well documented global shortage of Data Science and Artificial Intelligence practitioners. Employment opportunities within this field far outstrip supply.
 

The MSc Data Science and Artificial Intelligence addresses this skills gap by providing graduates with employment opportunities across the sector with a particular focus on, but not limited to, career opportunities within the field of Data Science and Artificial Intelligence.  This includes interdisciplinary opportunities, by coupling knowledge of Data Science and Artificial Intelligence with the knowledge that graduates have acquired from their first degree.