Overview
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
Course information
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 will 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 such as Hadoop Map Reduce and Spark, 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.
Why choose this course?
Big data is enabling companies to unlock previously hidden information into areas ranging from customer behaviour to how their businesses function, providing vital insight that can affect the profitability and sustainability 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 accredited Master’s degree 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, 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, above national sector averages, for our teaching, we offer state-of-the-art 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 ground-breaking 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 extensive industry links with national and international companies, such as the RAC, London Transport, London Metropolitan Police, National Grid, Severn Trent Water. You may also be given an opportunity to showcase your work to potential employers at our annual New Wizards Showcase event.
International experience opportunities
If you have a desire to travel, it is possible to spend a period abroad for part of your studies, for as little as two weeks. We also offer you the chance to participate in field trips to a number of different overseas locations, which have previously included China, Poland, Spain and Finland.
Career prospects
The highly-regarded Harvard Business Review has previously declared the role of ‘data scientist’ to be the sexiest career of the 21st century.
The explosion in the amount of available data now available to businesses, coupled with its potential value to improve competitive advantage, is driving the continued strong demand for data scientists throughout the world.
A 2014 survey by consulting firm Accenture on clients’ big-data strategies in April 2014 revealed that more than 90% planned to hire more employees with expertise in data science, yet almost half cited a lack of talent as a chief obstacle.
Opportunities following successful completion of this course could include careers as data scientists, data professionals and data analysts in variety of sectors including financial services, retail, marketing, customer and business intelligence.
The practical nature of our course places an emphasis on your future employability, developing a wide range of technical, analytical, design and professional skills.
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