he 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 Python 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 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.
- You will have the option to apply for a ‘work placement’ opportunity2, designed to further develop your skills and knowledge with the aim of maximising your employability prospects. See modules for more information.
Joint Top Modern University for Career Prospects
Guardian University Guide 2021 and 2022
5 QS Stars for Teaching and Facilities
QS Stars University Ratings
Top 5 UK Student City (Coventry)
QS Best Student Cities Index 2023
Why you should study 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 Natural Language Processing (NLP), 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 facilities4, 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 currently conducting research in the fields of: computational intelligence; intelligent information modelling and NLP; distributed systems and modelling; interactive worlds; digital security and forensics; and biomedical technologies. (Please note staff may be subject to change).
