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Data Science and Computational Intelligence MSc

Data Science and Computational Intelligence MSc

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai) Informatics

Course type

Taught

Course Summary

This course is accredited by the British Computer Society (BCS) and it 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. 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. The practical nature of our course places an emphasis on your future employability, developing a wide range of technical, analytical, design and professional skills. This course will be assessed using a variety of methods which will could vary depending upon the module. Assessment methods include coursework, essays, project, group work and formal examination.

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP

Modules

This is a semester three module.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£8,350

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£15,800

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Applicants for this programme will normally be expected to possess a minimum of upper second class honours degree in Computer science, Mathematics or other relevant area.

University information

Coventry University is famed for its top-class student support facilities, including the Jaguar Centre, which was designed specifically to support postgraduate students. Postgraduate courses are offered in an array of subjects like Creative Writing, Social Work, Financial Management, Aerospace Engineering and Psychology. You can gain a postgraduate qualification through teaching, online learning or research. Options include: Certificate...more