find your perfect postgrad program
Search our Database of 30,000 Courses
Sheffield Hallam University: Big Data Analytics
| Institution | Sheffield Hallam University |
|---|---|
| Department | College of Business Technology and Engineering |
| Web | http://www.shu.ac.uk |
| Telephone | (+44) 0114 225 5533 |
| Study type | Taught |
Summary
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 industry to produce graduates equipped to work with the large amounts of data now common to many businesses.
How you learn
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.
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.
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.
You learn through
-
Teaching sessions
-
Learning materials
-
Recommended readings
-
Problem-based learning
-
Group projects
-
Contemporary software platforms
This course is delivered face-to-face over three semesters - teaching is scheduled based on the length of your course and the academic calendar.
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 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.
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 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.
MSc
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | City Campus Howard Street Sheffield S1 1WB |
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | City Campus Howard Street Sheffield S1 1WB |
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | City Campus Howard Street Sheffield S1 1WB |
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | City Campus Howard Street Sheffield S1 1WB |
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | City Campus Howard Street Sheffield S1 1WB |
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | City Campus Howard Street Sheffield S1 1WB |
Not what you are looking for?
Browse other courses in Computer science, Data analysis, Information technology, Computer studies, Science, Mathematics or Statistics, or search our comprehensive database of postgrad programs.Postgraduate Bursary Opportunity with Postgrad.com
Are you studying as a PG student at the moment or have you recently been accepted on a postgraduate program? Apply now for one of our £2000 PGS bursaries.
Click here
