|Study location||United Kingdom, Colchester Campus|
|Type||Master courses, full-time|
|Nominal duration||1 year|
|Tuition fee||£14,500 per year|
Undergraduate diploma (or higher)
an overall grade of 2:2 and above
The entry qualification documents are accepted in any language
IELTS: 6.0 overall (with a minimum component score of 5.5)
At least 1 reference(s) must be provided.
Reference should be written on official letterhead, signed and dated. Please upload it in the Documents section.
Our modern world is witnessing a growth of online data in a variety of forms, including web documents, blogs, social networks, digital libraries and medical records. Much of this data contains valuable information, such as emerging opinions in social networks, search trends from search engines, consumer purchase behaviour, and patterns that emerge from these huge data sources.
The sheer volume of this information means that traditional stand-alone applications are no longer suitable to process and analyse this data. Our course equips you with the knowledge to contribute to this rapidly emerging area.
We give you hands-on experience with various types of large-scale data and information handling, and start by providing you with a solid understanding of the underlying technologies, in particular cloud computing and high-performance computing. You explore areas including:
- Mobile and social application programming
- Human-computer interaction
- Computer vision
- Computer networking
- Computer security
You also obtain practical knowledge of processing textual data on a large scale in order to turn this data into meaningful information, and have the chance to work on projects that are derived from actual industry needs proposed by our industrial partners.
We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).
MSc Project and Dissertation
Cloud Technologies and Systems (optional)
High Performance Computing
Machine Learning and Data Mining
Natural Language Engineering
Professional Practice and Research Methodology
Advanced Web Technologies (optional)
Data Science and Decision Making (optional)
Big-Data for Computational Finance (optional)
Computer Security (optional)
Computer Vision (optional)
Creating and Growing a New Business Venture (optional)
Mobile & Social Application Programming (optional)
Demand for skilled graduates in the areas of big data and data science is growing rapidly in both the public and private sector, and there is a predicted shortage of data scientists with the skills to understand and make commercial decisions based on the analysis of big data.
Our recent graduates have progressed to a variety of senior positions in industry and academia. Some of the companies and organisations where our former graduates are now employed include:
Electronic Data Systems
Bank of Mexico
Hellenic Air Force
United Microelectronic Corporation (Taiwan)