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MSc Big Data Analytics

Develop the skills to become a talented data scientist able to complete technical roles, such as data mining specialist, predictive modeller, computational linguist and statistical analyst on this course. It develops both the analytical and technical skills you need, and gives you experience of using industry standard software and technologies. You also have the opportunity to undertake an internship after completing your studies.

Course length 12-36 Month(s)
Location City Campus

Course description

Big data is the description used to encompass the huge amounts of data that is common to many businesses. It has been described as the next frontier for innovation, competition and productivity in business. It is essential for companies to embrace so that they can understand their customers better, develop new products and cut operational costs.

This course has been developed to create graduates who can become data scientists capable of working with the massive amounts of data now common to many businesses. It is aimed at people who want to move into this rapidly expanding and exciting area.

The modules on this course help you develop the core skills and expertise needed by the data scientist. The course can be split into three main areas, statistics, computing and management.

In the statistics section you study modules on data quality, data mining and data modelling. These modules cover the three main data areas, which are ensuring that data is reliable and of a high quality, searching the data to discover new information and presenting interpretations of that data to the end user.

The computing section covers areas related to massive datasets stored in the cloud, how data is stored and utilised within the distributed systems of an enterprise and how organisations can utilise data to change and improve business processes.

The management modules are focused on developing your core skills around professionalism and research. All of which are valuable skills during your university studies and in your career.

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 some leading edge software such as SAS, SAP Hana, and Hadroop within the course. You may be able to study abroad as part of the Erasmus programme.

Key areas of study

Key areas of study include • data quality and analysis • technologies to store and mine data • professionalism and research

Professional recognition

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.

Sheffield Hallam is a member of the SAS Student Academy, the SAP Student Academy and founding member of the SAP University Alliance.

Entry requirements

2017 entry requirements

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.

International and European entry qualifications

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.

Course structure

Full time – September start – typically 12 or 18 months

Part time – September start – typically 36 months

Typical modules may include

Core modules

• research skills and principles • industrial expertise • data integration • statistical modelling • data mining • handling data in the cloud • big data and distributed systems • advanced statistical modelling • dissertation

Options

Choose one from • organisational dynamics • social and economic aspects of the cloud

Assessment
  • essays
  • assignments
  • computer-based tests
  • practical projects
  • presentations
  • vivas

Employability

Many jobs for data scientists, data analysts and data mining analysts are available with salaries ranging from £35,000 to £80,000.

Jobs typically list the skills to be in areas such as statistical analysis and machine learning techniques, database and programming technologies, and expertise in statistical theory, which are all areas you cover on this course.

You also gain skills and knowledge in HaDoop, MapReduce, Java, SAS, MSQL which are some of the common technologies used in data scientist roles.

Fees

Home / EU student

Please note tuition fees may increase in each subsequent academic year of your course, subject to government regulations on fee increases and in line with inflation. More information can be found in the ‘Tuition Fee Increases’ section of our Fees Regulations (PDF, 2.10 MB)

2016/17 academic year

Typically £6,300 for the course

Part-time study should be calculated pro rata

Postgraduate loans of up to £10,000 are available across the majority of subject areas.

2017/18 academic year

Typically £6,400 for the course

Part-time study should be calculated pro rata

International student

2016/17 academic year

Typically £12,500 for the course

2017/18 academic year

Typically £13,250 for the course

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 information

How to apply

Complete the application form available at www.shu.ac.uk/study/form

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

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