MSc Big Data Analytics

Edge Hill University

Master

In Ormskirk

£ 4,860 + VAT

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Description

  • Type

    Master

  • Location

    Ormskirk

  • Duration

    1 Year

This Masters degree provides you with a strong conceptual and theoretical understanding of big data analytics. You will gain the essential skills and confidence required to apply and produce knowledge and understanding of issues surrounding big data analytics in a range of contexts. This will enable you to evaluate, adapt, create and utilise appropriate models, methods, practices, theories and computational techniques in the face of changing and evolving technology. There is the opportunity to develop a critical understanding of visualisation concepts, modelling and algorithmic foundations, as well as to develop and evaluate new or advanced bespoke solutions for processing, analysing and making sense of big and/or complex data. The programme enables you concentrate on a specific practical area within computer science and is suitable whether you are a recent graduate or already working in the IT industry and looking to change career paths.

Facilities

Location

Start date

Ormskirk (Lancashire)
See map
St Helens Road, L39 4QP

Start date

On request

About this course

As organisations become ever more dependent on data, there are increasing opportunities in specialist positions related to obtaining, processing and visualising data.

The MSc Big Data Analytics provides you with the skills and knowledge to develop your interests for a career in data science. You will be ideally placed to progress into roles where you will work as a data scientist or data analyst.

To join this MSc you should have a degree equivalent to UK second class honours, comprising 50% or more of content in a computing-related discipline.

Equivalent knowledge gained in alternative ways, for example through professional experience or completion of BCS Professional Diploma in IT (Level 6), is also accepted for entry to this programme.

For overseas applicants, IELTS 6.5 or equivalent is required.

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Subjects

  • Visualisation
  • Big Data Analytics
  • Development Project
  • Emerging technologies
  • Data Visualisation
  • Algorithms
  • Computer Language
  • Database
  • Mathematics
  • Big Data Management
  • Interpreting Data

Course programme

CIS4114 Research and Development Project (60 credits)

CIS4115 Research Methods (20 credits)

CIS4116 Emerging Technologies (20 credits)

CIS4117 Advanced Analytics: Tools and Techniques (20 credits)

CIS4118 Data Visualisation (20 credits)

CIS4119 Algorithms for Big Data (20 credits)

CIS4120 Applications in Big Data (20 credits)

Additional information

£12,500 for international students enrolling on the programme in academic year 2017/18. Tuition fees for part-time study on this MSc are £27 per credit for UK and EU students enrolling on the programme in academic year 2017/18, i.e. £540 per 20 credit module.


How will I be assessed?

 Your vocational capability, academic critical thinking and intellectual development will be assessed throughout the course. This is achieved through a combination of coursework, case studies, problem-solving exercises and examinations. You may be assessed individually or as part of a group.

Who will be teaching me?

 You will be taught by highly qualified, experienced and enthusiastic academic staff who are research-active and fully engaged with the wider business and academic community. The programme team specialise in a variety of subjects so you will benefit from a wide range of expertise. There will also be occasional input from external IT professionals who will be invited to teach particular sessions.

Course Length:1 Year Full-Time, 3 Years Part-Time

See related categories

  • Database Administration Postgraduate Degrees
  • Distance learning Database Administration Postgraduate Degrees
  • Postgraduate Degrees in Lancashire
  • Postgraduate Degrees in Ormskirk
  • Edge Hill University Postgraduate Degrees

MSc Big Data Analytics

£ 4,860 + VAT

The best Database Administration courses

See all

See all