**Please check the Sheffield Hallam University website for the latest information.**
**Course summary**
- Learn to use industry-leading software including SAS, R, Python and the Apache HaDoop Ecosystem.
- Obtain knowledge of data storage, data mining and statistical modelling techniques.
- Study aspects related to the distribution and integration of data.
- Gain up to twelve months real-world experience through the two-year work experience route.
This course has been developed in consultation with indust...
**Please check the Sheffield Hallam University website for the latest information.** <br/><br/>**Course summary**<br/><br/><br/>- Learn to use industry-leading software including SAS, R, Python and the Apache HaDoop Ecosystem.<br/><br/><br/>- Obtain knowledge of data storage, data mining and statistical modelling techniques.<br/><br/><br/>- Study aspects related to the distribution and integration of data.<br/><br/><br/>- Gain up to twelve months real-world experience through the two-year work experience route.<br/><br/><br/>This course has been developed in consultation with industry to produce graduates equipped to work with the large amounts of data now common to many businesses.<br/><br/>**How you learn**<br/><br/>All our courses are designed around a set of key principles based on engaging you with the world, collaborating with others, challenging you to think in new ways, and providing you with a supportive environment in which you can thrive.<br/><br/>This course explores statistics, computing and management to help put you at the forefront of this vitally important field. You will gain an insight into Data Analytics, including Statistical Modelling and Data Mining, Big Data and Distributed Systems, Data Integration, Programming Concepts and Practice, and the core skills around professionalism, project management and research.<br/><br/>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, Python, RStudio and others.<br/><br/>You learn through<br/><br/><br/>- Teaching sessions<br/><br/><br/>- Learning materials<br/><br/><br/>- Recommended readings<br/><br/><br/>- Problem-based learning<br/><br/><br/>- Group projects<br/><br/><br/>- Contemporary software platforms<br/><br/><br/>This course is delivered face-to-face over three semesters - teaching is scheduled based on the length of your course and the academic calendar.<br/><br/>**Applied learning**<br/><br/>**Live projects**<br/><br/>You will have the opportunity to work on real work-based projects supplied by an external company or emulated industry case studies. You apply the skills and knowledge gained from your studies in topics such as data integration, statistical modelling, big data and distributed systems to situations of genuine complexity.<br/><br/>**Networking opportunities**<br/><br/>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.<br/><br/>There are many industries that make use of the skills developed on the course once you have graduated, including:<br/><br/><br/>- Pharmaceuticals<br/><br/><br/>- Finance<br/><br/><br/>- Marketing<br/><br/><br/>- Retail<br/><br/><br/>Public and Private Sector organisations such as: Police, Government, NHS, 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 skills in this area.
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Course Details
Information
Study Mode
Full-time
Duration
1 Years
Start Date
01/2025
Campus
City Campus
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
S21
Points of Entry
Unknown
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