This master’s course aims to respond to the demand for data scientists with the skills to develop innovative computational intelligence applications, capable of analysing large amounts of complex data to inform businesses decisions and market strategies.
Multidisciplinary content covers machine learning, neural networks, big data analysis, information retrieval, fuzzy systems and evolutionary computation. You will have opportunities to undertake practical projects, applying your learning to real-life problems in business, finance, security, industry control, engineering, natural language processing, information retrieval and bioinformatics.
Coventry University offers chances to learn alongside active researchers in areas such as pervasive computing, distributed computing and application, as well as innovative applications for interactive virtual worlds.
Work placement option
This master’s programme provides you with the additional option to apply for a ‚work placement’ opportunity during your first semester with us. The ‚work placement’ is designed to further develop your skills, knowledge and professional experience with the aim of maximising your employability prospects. Please note that the optional placement modules incur an additional tuition fee of £4,000
Why Coventry University?
An award-winning university, we are committed to providing our students with the best possible experience. We continue to invest in both our facilities and our innovative approach to education. Our students benefit from industry-relevant teaching, and resources and support designed to help them succeed. These range from our modern library and computing facilities to dedicated careers advice and our impressive Students’ Union activities.
Big data processing and information retrieval drives some of the world most successful and high-tech businesses; from well-known companies like Google and Twitter, to specialist medical informatics providers and even space exploration.
The main theme throughout this course is automatic big data processing and information retrieval through machine learning, neural network and evolutionary computing. We aim to cover how to apply cutting-edge machine learning techniques to analyse big datasets, assess the statistical significance of data mining results and perform advanced data mining tasks.
We will introduce you to important frameworks which may include Hadoop Map Reduce, Spark, applications of relational databases and NoSQL databases in combination with easy to use and powerful development tools such as Scala, Python, Matlab and R. We will look at emerging theories, practices, approaches and management of distributed and intelligent computing systems, examining a wide range of case studies to see how applications have been developed and for what purposes, such as steganography detection system for colour stego images.
The focus of the MSc Data Science and Computational Intelligence course is on applications of data science methods and tools, combined with computational intelligence techniques for data-driven problem solving including the analysis, interpretation and visualisation of complex data, which is in increasing demand in fields such as marketing, pharmaceutics, finance, transportation, medicine, and management.
A unique aspect of this course is the delivery through a wide range of activities and problem based learning in the context of the current research or industry consultancy projects, conducted by the academics responsible for teaching on this course. Please note, staff may be subject to change.
Why choose this course?
Big data is enabling companies to unlock previously hidden information in areas ranging from customer behaviour to how their businesses function, providing vital insight that can affect the profitability and sustainability of an organisation.
In a world where technology is advancing at a rapid pace, data-driven scientific discovery represents one of the most exciting developments – already making a huge impact in the social and services sectors enabled by the Internet of Things (IoT) and cloud computing.
This course is designed to equip you with the skills and expertise in the emerging big data mining techniques required for the analysis, interpretation and visualisation of complex, high-volume, high-dimensional, structured and unstructured data from a variety of sources.
We aim to provide an understanding of data science and computational intelligence, including specialist knowledge in machine learning, neural networks, evolutionary and fuzzy computing, data and web mining, and information retrieval, as well as important development tools and platforms.
Through practical activities, industry input and a focus on skills development, we seek to foster an informed, flexible and critical approach to problem solving, giving you the confidence, professionalism, knowledge and skills to adapt to modern technological environments.
Enjoying high levels of student satisfaction for our teaching, we offer modern facilities, including specialist computing labs with high-performance hardware along with the utilisation of industry-standard software and collaboration coding platforms, such as Github.
You will be given the chance to work alongside staff conducting research in the fields of: computational intelligence; intelligent information modelling and retrieval; distributed systems and modelling; interactive worlds; digital security and forensics; and biomedical technologies.
We enjoy industry links with national and international companies and you may also be given an opportunity to showcase your work to potential employers at our annual New Wizards Showcase event.