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Study Mode Full-time
Year of Entry 2019/20
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: £7,200 for the course
International: Our tuition fee for international students starting full-time study in 2019/20 is £13,500 for the course.
How long will I study? 1 Year / 2 Years
Where will I study? City Campus
When do I start? September
Placement available? Yes

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 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.

Our partnerships with business inform the course design, ensuring the content is relevant, up-to-date and meets the needs of industry. These partnerships also enable the inclusion of cutting edge software such as SAS.

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 STA, department of computing, and the Maths department at Sheffield Halla … Read more

Applied learning

Live projects

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

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 many of the modules.

There are many industries that make use of the skills developed on the course once you have graduated, including

  • Pharmaceuticals
  • Finance
  • Marketing
  • Retail
  • Public Sector (Police, Government, NHS) Organisations such as Amazon, Facebook, UK Ministry of Defence, HSBC and GSK all make use of data management/analytics extensively to help them to better understand their customers and to make informed business decisions. IBM ranked these jobs as one of the most difficult for employers to recruit, due in part to the shortage of skilled data scientists.

Work Placement

You will have the opportunity to go on a work placement for up to 12 months. You are supported by our placement team who can help you to find placements and apply for a placement vacancy as you would a job. There are also dedicated sessions to support you in CV writing, interview skills and job applications.

Placements start during the summer and most are paid with an average salary of £10,000 to £14,000 per year. Your course leader will maintain regular communication with you and your employer to make sure of your progress.


Future careers

This course prepares you for a career in

  • statistical analysis and machine learning techniques
  • database and programming technologies
  • statistical theory
  • marketing and insight
  • credit risk
  • data and technology
  • digital analytics
  • data science

Previous graduates of this course have gone on to work for

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

Some of the associated careers in these fields are

  • customer insight analyst
  • credit risk analyst
  • fraud analyst
  • forensic analyst
  • big data architect
  • business intelligence developer
  • digital analyst
  • data scientist

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

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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 • HaDoop • MapReduce • Java • MSQL

Entry requirements

All 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.

Additional information for EU/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. You can also watch a video guide on how to apply.

For details of English language entry requirements (IELTS), please see the information for 'All students'.


Modules

The modules for 2019/20 may vary to those given below, which are for academic year 2018/19

You can take an optional placement in year three.

Year 1

Compulsory modules
Module Credits Assessment
Module: Data Analytics: Tools And Techniques Credits: 30.00 Assessment: Coursework:
&:nbsp; 100%
Module: Industrial Expertise Credits: 15.00 Assessment: Coursework:
&:nbsp; 100%
Module: Postgraduate Placement Credits: - Assessment: &:nbsp;
Module: Programming Concepts And Practice Credits: 15.00 Assessment: Coursework:
&:nbsp; 100%
Module: Research Skills And Dissertation Credits: 60.00 Assessment: Coursework:
&:nbsp; 100%
Module: Study Skills And Project Management Credits: 15.00 Assessment: Coursework:
&:nbsp; 100%
Module: System Design And Development Project Credits: 45.00 Assessment: Coursework:
Practical:
&:nbsp; 90%
10%

Fees and funding

Home/EU students

Our tuition fee for UK/EU students starting full-time study in 2019/20 is £7,200 for the course.

† If you are studying an undergraduate course, postgraduate pre-registration course or postgraduate research course over more than one academic year then your tuition fees may increase in subsequent years in line with Government regulations or UK Research and Innovation (UKRI) published fees. More information can be found in our terms and conditions under student fees regulations.

International students

£13,500 for the course

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

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Information for international students

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

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