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Study Mode Full-time
MSc

Big Data Analytics

Full-time Computing

Develop the skills to become a talented data scientist with experience of using industry-standard software and technologies.


Everything you need to know...

What is the fee? Home/EU: £6,590 for the course †
International: £13,250 for the course
How long will I study? 1 year/18 months
Where will I study? City Campus
When do I start? September

Course summary

  • Learn to use industry-leading software including SAS and HaDoop.
  • Gain hands-on knowledge of data storage, data mining and statistical modelling techniques.
  • Study aspects related to the distribution and integration of data with emphasis on the business context.
  • Prepare for jobs with salaries ranging from £35,000 - £80,000.

Big data analysis is essential for companies to understand their customers better, develop new products and cut operational costs. This course has been developed in consultation with our industry contacts to create graduates who can become data scientists capable of working with the massive amounts of data now common to many businesses.

How you learn

This course explores statistics, computing and management to help you develop the core skills and expertise needed by a data scientist. You learn about data analytics (including statistical modelling and data mining), systems development (including big data and distributed systems), data integration, how data is stored and utilised, and the core skills around professionalism and research.

This course includes the SAP Business Intelligence with SAP BW 7.3 and SAP BI 4.0 e-academy (UB130e). You also have the opportunity to sit the SAP certification exam and the SAS 9 base certification exam.

You learn through

  • teaching sessions
  • learning materials
  • recommended readings
  • problem-based learning
  • group projects
  • contemporary software platforms

Course leaders and tutors

Richard Wilson
Richard Wilson
Course Leader, MSc Big Data Analytics

Richard Wilson is the course leader for the MSc in Big Data Analytics within the Faculty of ACES, department of computing, and the Maths department at Sheffield Hall … Read more

Applied learning

Live projects

You will be provided with the opportunity to work on a real, work-based projects supplied by an external company. You will utilise your skills and knowledge gained from the earlier studies of topics such as data integration, statistical modelling, big data and distributed systems, to situations of genuine complexity.

Field trips

You may be able to study abroad as part of the Erasmus programme.

Networking opportunities

The teaching team make use of their research and industry connections to facilitate the inclusion of real work scenarios and case studies within the teaching materials of many of the modules.


Future careers

This course prepares you for a career in

  • statistical analysis and machine learning techniques
  • database and programming technologies
  • statistical theory

Previous graduates of this course have gone on to work for

  • the Bank of England
  • OCF
  • HSBC
  • INC Research
  • Axis Bank

Accreditation

For an additional fee, you also have the opportunity to sit the SAS base certification exam.

Sheffield Hallam is a member of the SAS Student Academy.

Where will I study?

You study at City Campus

City Campus

City Campus is located in the heart of Sheffield, within minutes of the train and bus stations.

City Campus map
City Campus map
Location

Howard Street
Sheffield
S1 1WB

Get directions
Adsetts library
Adsetts library

Adsetts Library is located on our City Campus. It's open 24 hours a day, every day.

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Equipment and facilities

On this course you work with

  • leading edge software including SAS, SAP Hana, HaDoop, MapReduce, Java, MSQL

Entry requirements

UK students

A good honours degree in computing, computer science, maths or statistics or other relevant areas or equivalent.

We consider your application if you do not have a relevant degree but have at least one year's direct work experience in computing or a relevant area. You may also be able to claim credit points which can reduce the amount of time it takes to complete your qualification at Sheffield Hallam. Find out more

Non-native speakers of English need an IELTS score of 6.0 with 5.5 in all skills (or equivalent). If your English language skill is currently below an IELTS score of 6.0 with a minimum of 5.5 in all skills we recommend you consider a Sheffield Hallam University Pre-sessional English course which will enable you to achieve an equivalent English level.

EU and International students

If you are an International or non-UK European student, you can find out more about the country specific qualifications we accept on our international qualifications page.


Modules

Final year

Compulsory modules
Module Credits Assessment
Module: Advanced Statistical Modelling And Data Mining Credits: 15.00 Assessment: Coursework:
&:nbsp; 100%
Module: Big Data And Distributed Systems Credits: 15.00 Assessment: Coursework:
&:nbsp; 100%
Module: Data Integration Credits: 15.00 Assessment: Coursework:
&:nbsp; 100%
Module: Data Mining Credits: 15.00 Assessment: Coursework:
&:nbsp; 100%
Module: Dissertation Credits: 45.00 Assessment: Coursework:
&:nbsp; 100%
Module: Handling Data In The Cloud Credits: 15.00 Assessment: Coursework:
&:nbsp; 100%
Module: Industrial Expertise Credits: 15.00 Assessment: Coursework:
&:nbsp; 100%
Module: Research Skills And Principles (Big Data) Credits: 15.00 Assessment: Coursework:
&:nbsp; 100%
Module: Social & Economic Aspects Of The Cloud Credits: 15.00 Assessment: Coursework:
&:nbsp; 100%
Module: Statistical Modelling Credits: 15.00 Assessment: Coursework:
&:nbsp; 100%

Fees and funding

Home/EU students

Our tuition fee for UK/EU students starting full-time study in 2018/19 is £6,590 for the course.

† If your course is studied over more than one academic year then your tuition fees may increase in subsequent years in line with inflation and/or Government regulations. More information can be found in our terms and conditions under student fees regulations.

International students

Our tuition fee for international students starting full-time study in 2018/19 is £13,250 for the course.

We offer a range of scholarships and awards for international students. Find out more.

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Postgraduate student loans

Up to £10,609 available for UK and EU students on most masters courses.

Learn more

Additional course costs

This link allows you to view estimated costs associated with the main activities on specific courses. These are estimates and, as such, are only an indication of additional course costs. Actual costs can vary greatly depending on the choices you make during your course.

Additional costs for Computing courses (PDF)

Legal information

Any offer of a place to study is subject to your acceptance of the University’s Terms and Conditions and Student Regulations.

 

How do I apply?

You apply for this course via our online application form.

If you require an alternate version of the application form, please email directadmissions@shu.ac.uk.

Not ready to apply just yet?

Why not come to our next open day? Open days are the perfect place to talk to staff and students, visit our campuses and get all the information you need. Alternatively, feel free to ask us a question.

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Where next?

Find out more about Sheffield Hallam's postgraduate opportunities and community.

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Why postgraduate?

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Read about the diverse work and experiences of our postgraduate community.

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Information for international students

Information for international students including entry requirements by country and funding.

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