About Data Science And Computational Intelligence Msc in Coventry University

Accredited by the British Computer Society (BCS), this Master’s 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, Cloud Computing, 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 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. 

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.

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.

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. 

Our award-winning Faculty careers service, EEC Futures, which won the ‘Best Placement Service in the UK’ award at the National Undergraduate Employability Awards in 2015 and 2016, will help you in finding work experience while you study and employment on graduation. Opportunities also exist to complete a PhD research degree upon completion of the course.

Coventry University is committed to preparing you for your future career and giving you a competitive edge in the graduate job market. The University’s Careers and Employability team provide a wide range of support services to help you plan and prepare for your career.

English as a Foreign Language: This course requires IELTS of 6.5 overall, with no component lower than 5.5. Alternatively, students may be admitted with IELTS 6.0 subject to successfully completing a compulsory five week pre-sessional English course.

Our International Student Hub offers information on entry requirements for your country, as well as contact details for agents and representatives should you need more advice.

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