This knowledge is vital. Computer science is driving our digital transformation; it is at the forefront of scientific discovery and the heart of economic growth. Utilising society’s wealth of data requires people who can blend research, technology and ingenuity.
Aimed at aspiring data scientists – the sought-after, high-ranking professionals of big data – this course is accredited by the British Computer Society (BCS), the Chartered Institute for IT. The degree has been designed for graduates of computer science and its related disciplines, as well as IT professionals and data analysts.
Your studies will be supported by access to dedicated facilities, which include:
200 workstations with remote access to a secure, virtual private network
Our location also means you’ll be ideally placed to connect directly with some of the biggest companies in the industry. Several of these companies are actively involved in the development and review of this course. Companies currently participating in our Industrial Advisory Board include Sony, Microsoft and IBM.
Big data analytics. Applications include remotely sensed data analysis and interpretation, weather forecasting, and communication data stream analysis.
Computational vision. Applications include visual surveillance, border control and security, machine learning for image and video-based prediction and classification.
Cloud computing. Applications include data security and network security.
Flexible study options for MSc Advanced Computer Science students
You can attend the course on a full-time basis over one year, or part-time over two years. You can also choose to attend on a flexible, modular basis up to five years.
Alternatively, it is possible to take the taught modules as free-standing training courses. Do this by either enrolling with the Continuing Professional Development (CPD, not assessed), or by taking individual modules (assessed). This mode of study could contribute towards a master’s, diploma, or certificate qualification.
IELTS: 6.5 overall with no element less than 5.5 (or equivalent)
Entry requirements: You are normally required to have at least a high 2:2 honours degree (or equivalent from a university outside the UK) in computing or a related discipline, or relevant work experience.
This module is recommended if you did not take a course with similar content in your undergraduate studies. Develop your professional role in the workplace beyond performing the technical tasks assigned to you, and consider the impact of technologies on the individuals and communities around you.
Learn about the key tools required to implement a successful digital marketing strategy. This includes search engine marketing, effective engagement with social media and improving performance using web analytics.
Learn about the Python programming language and the Python data science module ecosystem, including data processing and machine learning libraries. Data manipulation and statistical data science methods are also covered.
Please note that all modules are subject to change. Please see our modules disclaimer for more information.
How much will it cost?
New UK/EU students: £8,840 per year
New international students: £19,715 per year
Fee per module
Fee per 10 credit module:
Fee per 20 credit module:
Fees and funding information
The fees listed are for full-time study, unless otherwise stated, and relate to courses starting in September 2020. Fee information will be confirmed in offer letters sent out to successful applicants. You can find further information on fees and funding, including for part-time study, through our fees and funding page.
These course fees cover the cost of your tuition. Some courses will require additional payments for field trips and extra resources. You will also need to budget for your accommodation and living costs. See our information on living costs for more details.
Careers for MSc Advanced Computer Science graduates
The MSc Advanced Computer Science course offers strong career prospects in a world where digital information penetrates almost every aspect of society.
The knowledge and skills you will acquire are relevant to the IT and high-tech industries, as well as the majority of industrial and scientific domains.
Benefit from our close links with industry neighbours, and our location at the centre of a major high-technology hub. The headquarters of companies such as Microsoft, Oracle, Cisco Systems, Hewlett Packard (HP) and Intel are all within a few miles of our main campus. Local tech employers also visit our Department to deliver guest lectures and attend job fairs.
Our graduates are employed in a wide variety of sectors, including finance and government. Some have gone on to work for consultancies or multinational companies, while others have furthered their research at Reading or other institutions.
Read more about where our MSc Advanced Computer Science graduates are now
Fabio Cappello went on to join the research and development department of Sony Interactive Entertainment.