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MSc Big Data Analytics

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.

For more information, see the website: https://www.shu.ac.uk/study-here/find-a-course/msc-big-data-analytics

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.

Course structure

Full time – 12 to 18 months.
Part time – up to 6 years.
Starts September.

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

Choose one from:
-Organisational dynamics
-Social and economic aspects of the cloud

Assessment: essays, assignments, computer-based tests, practical projects, presentations, vivas.

Visit the MSc Big Data Analytics page on the Sheffield Hallam University website for more details!

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. 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..

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