MSc Data Science and Artificial Intelligence

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About the course

Short Description  
 
The Data Science and Artificial Intelligence MSc programme has been designed to provide students with a non-computer science first degree with the necessary technical knowledge and skills required to take up rewarding careers within the data science and artificial intelligence (AI) industry, including interdisciplinary career opportunities.  
 
The programme will allow students to build on their existing undergraduate degrees, and upskill their portfolio of abilities, in the context of current thinking in the domain of data science and AI. More specifically the programme will provide students with a comprehensive insight into the modern data analytics landscape with a focus on data science and AI. 
 
Why study this subject? 
 
On completion of the programme, you will have gained a systematic insight into the current state of the art, and current thinking, within the remit of data science and artificial intelligence in particular, and computer science in general. The programme will complement your first-degree knowledge with a deep and systematic insight into the domain of data science and artificial intelligence.  
 
During your studies, you will develop your ability to work independently, and with others, to research, design, implement and execute creative data science and artificial intelligence solutions to practical and commercial problems, and to subject your work and that of others to critical analysis and evaluation.  
 
You will also have an opportunity to create a professional development plan and, throughout the course of the programme, build an e-portfolio that exhibits your understanding of computer science and the practical application of computer science technology.  
 
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): 
o Reasoning and Intelligent Systems 
o Machine Learning in Practice 
o Multi-Agent Systems 
o Robotics 
o Deep Learning 
o Natural Language Processing and Understanding 
Deep Learning (15 credits)  
Research Methods in Computer Science (15 credits) 
Computer Science Capstone Project (60 credits) 
 
Teaching methods and style  
 
This programme is designed to be studied wholly online and part-time. 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.   
 
Methods of assessment  
 
Assessment is exclusively through online activities carried out in the VLE, rather than examinations. You will be assessed through a range of activities, including discussion forum participation, practical assessment and group work.  
 
Practical assessment adopts the principle of authentic assessment where the assessment tasks to be undertaken are aligned with the kinds of task that students would be expected to undertake in a professional setting. Examples could include presentations, reports, software, system demonstrations, reviews and/or essays. 
 
Career destinations  
 
Data science and artificial intelligence has major application in many different sectors, including IT, healthcare, government agencies and technology. Organisations across these sectors, both commercial and non-commercial, are experiencing a significant recruitment challenge. Nearly every organisation uses data science and AI to refine and streamline business practices. Employment opportunities within the data science and AI sector far outstrip the supply of qualified data science graduates.  
 
The Data Science and Artificial Intelligence MSc programme will address this skills gap by providing graduates with employment opportunities across the sector with a focus on, but not limited to, career opportunities within the field of data science and AI. This includes interdisciplinary opportunities by coupling knowledge of AI and data science with the knowledge that graduates have acquired from their first degree. 
 
Job opportunities are wide and varied; examples include: Data Analyst, Data Scientist, Database Manager, Machine Learning Practitioner, and IT consultant. 
 
Entry requirements  
 
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 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. 
 
Payment options   
 
Full tuition fee – £TBC* (2021/2022 academic year)  
 
The tuition fee is fully inclusive of all costs: teaching materials, core textbooks, assessments and resits.  
If you live in England, you may be eligible for a postgraduate loan to cover some of the costs of your degree. If you are not eligible for a student loan, you will be offered a simple monthly payment plan to spread the cost of your tuition over the duration of your studies.   
You will receive a 5% discount if you choose to pay the full tuition fee upfront.  
Scholarships of up to 15% of your tuition fee may be available. For more details speak to the University of Liverpool Online Programmes admission team.   
 
*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.   

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Start date Location / delivery
12 Oct 2021 Online Book now

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