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Data Analytics (with Placement) MSc

Different course options

Study mode

Full time

Duration

18 months

Start date

18-SEP-23

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Analysis

Course type

Taught

Course Summary

About the course

This course is specifically aimed at International students, supporting those wishing to gain practical work based experiential learning. Together with studying your chosen course we are offering you the opportunity to secure a placement* for an additional 6 months, making the course 18 months in length. This allows students with limited experience to put into practice the skills and techniques developed throughout the Master’s degree.

Our Master's course is designed to meet the demand for a new kind of IT specialist with the skills and knowledge in data science.

The total demand in ‘big data’ users is set to rise to around 644,000 across all industries. More connectivity means more data and UK companies are leading the way in collecting, processing and understanding it. It’s estimated that 31,000 people work in specialist big data roles in the UK and the talent pipeline, together with demand, should see that increase by 243% over the next 5 years.*

In order to address these demands, given the large amount of data collected by all kinds of organisations, graduates of the course aims to equip graduates with an understanding of:

statistics
data mining techniques
big data and associated file systems
data visualisation

Our aim is for you to graduate from this course with the ability to combine this knowledge to provide solutions to novel problems associated with the organisation and the analysis of data.

The course seeks to develop the ability to critically evaluate existing and emerging Data Science technology, apply knowledge, understanding and analytical and design skills in support of analytical and big data problems.

Enhance your career

We would expect to see graduates progress to careers in all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education. Typical job roles would include, business intelligence, data assurance, quality, finance and sales.
You could also go on to further study and the University has many options available for postgraduate research which may interest you.

*Please see placement section on our website for more details.

Professional links and accreditations

Courses are partially accredited for Chartered IT Professional (CITP) status and partial CEng status. Accreditation also gives you a potential advantage when looking for a job as some employers may ask for graduates with accredited degrees.

Please visit the?BCS website?for further details about accreditation.

This accreditation is reviewed on a regular basis.

Modules

With ever-increasing advancements in Internet-of-Things, Cyber-Physical Systems, and social media applications, huge volumes of complex and multi-dimensional datasets are being generated every day. Visually analysing these datasets facilitates the transformation of raw data into valuable knowledge and information. The biggest challenge is to articulate suitable solutions of complex analytical problems by visually interacting with the designed artefacts without going into underlying complexities. Tremendous endeavours have been devoted to streamline innovative solutions, novel methods, tools, processes and methodologies to address underlying challenges. This module aims to provide students with core knowledge and deep understanding of advanced theories underpinning data visualisation, best practices in using visualisation artefacts effectively and practical skills in implementing the theoretical knowledge into certain application domains. Students will be engaged in practical utilisation of state-of-the-art visualisation tools and methods to understand real-world big data problems, and to rectify complex issues with visual analysis. Topics that will be covered in this module include exploratory data visualisation; data visualisation theories, existing and emerging interactive 2D and 3D visualisation toolkits, and application of visualisation skillset in application specific domains.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£7,900

International fees
Course fees for EU and international students

For this course (per year)

£18,000

Entry requirements

Entry requirements for this course are normally: A BSc, BEng or BA Honours degree (2:1 or above) or equivalent professional qualification in any subject. Applicants with other appropriate professional qualifications and/or experience will be considered on an individual basis.