Full Time: 12 months | Part Time: 24 months | Flexible: 5 Years
Start date: September 2018
Join the next generation of data scientists, the sought-after, high-ranking professionals in the world of Big Data.
Develop in-depth knowledge on the analysis of data, data-driven knowledge discovery and advanced computing for Big Data.
This course is aimed at graduates in disciplines related to Computer Science and to IT professionals and data analysts, with part-time and flexible teaching modes available. You also have the opportunity to take part in the Erasmus programme, which involves placements in other EU research institutes.
You will have access to PC labs, a library, remote connection to a virtual network, a virtual reality environment, and big data computing clusters.
Our specialist areas of research include:
Big data analytics and its applications in various areas, such as remotely sensed data analysis/interpretation, weather forecasting, communication data stream analysis.
Computational vision and its applications in visual surveillance, border control and security, machine learning for image/video based prediction and classification.
Cloud computing: data security and network security.
This course offers strong career prospects as Big Data Analytics is the next frontier for innovation competition and productivity.
IELTS: 6.5 overall with no element less than 5.5 (or equivalent)
Entry requirements: You are normally required to have a good first or second class UK honours degree (or equivalent from a university outside the UK) in computing or a related discipline or relevant work experience.
Please note that all modules are subject to change. Please see our modules disclaimer for more information.
How much will it cost?
How much will it cost?
New UK/EU students: £7,360 per year
New international students: £15,650 per year
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.
Financial support for your studies
You may be eligible for a scholarship or bursary to help pay for your study. Students from the UK and other EU countries may also be eligible for a student loan to help cover these costs. See our fees and funding information for more information on what's available.
Career prospects for the students of this programme tend to be strong as the knowledge and skills acquired are very relevant not only to the IT and high-tech industry, but also in the large majority of the industrial and scientific domains.
Computing is now the science underpinning most industrial and academic areas with the advent of big data and dataintensive discovery as the fourth scientific paradigm. Moreover, digital information has penetrated almost every aspect of today’s society.
Graduates are normally employed in a large variety of sectors. Some graduates will join large multinational companies; others join smaller companies and consultancies; and some may well choose to further their research at Reading or another university.