*Prices correct for 2018/2019 new students. Subject to potential annual increase in September 2019.
Jessica Ryan Gilbank
T: +44 (0)1332 597830
We recommend around 20 hours of study per week, per 20 credit module.
This course is assessed through 100% coursework with a range of methods such as essays, research reports, presentations, group work and practical reports.
Course code: OLPBZ Level 7 qualification
Big data is all around us, vast amounts of data continues to be generated in line with our growing use of IT products and services. This constant growth creates exciting new career opportunities for big data specialists. Professionals who can identify and obtain intelligence from big data are in demand like never before.
Our online Big Data Analytics programme gives you an in-depth knowledge and critical understanding of the key issues and concepts in today’s data-driven business and science landscapes. You will develop powerful skills in the extraction, analysis and management of information from big data using a variety of scientific techniques and software tools.
As an online student, you will be able to draw on the extensive industrial links of our academic staff and share knowledge of best practice with fellow students all whilst navigating your course materials in our virtual learning environment.
When you complete this programme you will:
- Develop high-level skills in business intelligence, data analytics and database technology
- Harness the full power of SAS software, thanks to our partnership with the global leader in business analytics services
- Address real-world industry-based problems and conduct a major research project on a theme of your choice
Harness a Real-world Understanding of Industry Issues
During your studies, you will address real-world industry-based problems. This intellectually demanding process requires not only specialist knowledge of big data analytics but also the ability to apply multidisciplinary concepts to today’s dynamic business and scientific areas.
Develop Critical Understanding of Natural Language Processing and Text Mining
Gain insight into industry relevant approaches to Natural Language Processing (NLP) and text mining developing the ability to extract and analyse various data-sets. Relevant software tools will be used to enable a critical appreciation of computational, ethical and governance issues in this field, using the Vs of Big Data as a critical framework.
Build a Skillset Around Your Career Aspirations
As vast amounts of data continue to be generated in line with our growing use of IT products and services, exciting new career opportunities are emerging for big data specialists. This is a flexible programme which enables you to choose from highly relevant optional modules to tailor your programme of study to meet your particular interests or professional needs.
On this programme you’ll develop a comprehensive skill set in computing and information technology, particularly in the areas of data analytics, business intelligence and information management, visualisation and assurance, as well as people analytics in HR, preparing yourself for a career in a rapidly growing industry more widely applicable and relevant than ever.
Achieve a Postgraduate Certificate, Postgraduate Diploma and Masters Award
The online MSc Big Data Analytics programme comprises three progressive stages; Postgraduate Certificate (PG Cert), Postgraduate Diploma (PG Dip) and Masters (MSc):
You will be required to achieve 60 credits to complete each award within the programme, totalling 180 credits to achieve the Masters:
Postgraduate Certificate in Big Data Analytics (60 credits): You will need to complete three 20 credit modules
Postgraduate Diploma in Big Data Analytics (120 credits): You will need to complete three 20 credit modules
Master of Science in Big Data Analytics (180 credits): You will need to complete a triple independent study module worth 60 credits.
We would encourage you to complete the full MSc, but if you prefer, you can still gain an exit award at each stage: a PG Cert or a PG Dip.
You can also study the MSc Big Data Analytics full-time or part-time on campus.