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University of Liverpool: Big Data Analytics (Online)
| Institution | University of Liverpool |
|---|---|
| Department | Computer Science |
| Web | https://www.liverpool.ac.uk/ |
| enquiries@study-online.liverpool.ac.uk | |
| Telephone | +44 (0)151 318 4466 |
| Study type | Taught |
Summary
Further your computer science career with a specialist postgraduate degree in big data analytics.
This online master’s programme has been designed to equip students with expertise in an area of computing that has seen recent and rapid growth, and in which there is expected to be a significant skills shortage.
You will have the opportunity to gain a comprehensive understanding of both the technology that supports big data analytics and the practical application of this technology in the context of business information and real-world problems.
To achieve a full master’s degree, you will be required to complete 180 credits. This programme is also available as a postgraduate diploma (PG Dip) which amounts to 120 credits and a postgraduate certificate (PG Cert) which amounts to 60 credits. Students who complete the PG Cert and PG Dip will have the opportunity to progress to a full master’s degree.
The programme is accredited by the BCS, The Chartered Institute for IT, for the purposes of meeting the further learning academic requirement for registration as a Chartered IT Professional.
Teaching methods and style
This programme is designed to be studied wholly online and part-time. Teaching is delivered through our state-of-the-art Virtual Learning Environment (VLE), which provides students with access to all resources required for interactive study online. On this platform, you will be encouraged to work collaboratively with classmates and actively read around your topic through our comprehensive library of eBooks and journals.
Methods of assessment
Assessment is exclusively through online assignments rather than examinations. You will be assessed through a range of activities, including written assignments, presentations, discussion forum participation and journal entries.
Career destinations
The programme follows a career-driven curriculum, developed by industry leaders and experts to ensure the taught skills and knowledge are directly applicable to a workplace. Graduates will be able to successfully apply their newly acquired skills and knowledge in demanding roles within a range of sectors. Potential job titles include Data Scientist, Big Data Consultant, Machine Learning Engineer and Research Scientist.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | All applications will be considered on a case-by-case basis. If you want to discuss your previous qualifications and experience before applying, please contact our admissions team. Applicants should possess either: All applicants must provide evidence that they have an English language ability equivalent to an IELTS (academic) score of 6.5. If you don’t have an IELTS or equivalent certificate, you can take our free online English test to assess your proficiency. You don’t need to prove your English ability if you are a national of or have completed a qualification equivalent to a UK degree in, any of the eligible countries on our website. |
| Location | Online Online Online |
Fees
| EU | 16065 GBP for Whole course |
|---|---|
| International | 16065 GBP for Whole course |
| England | 16065 GBP for Whole course |
| Northern Ireland | 16065 GBP for Whole course |
| Scotland | 16065 GBP for Whole course |
| Wales | 16065 GBP for Whole course |
| Channel Islands | 16065 GBP for Whole course |
| Republic of Ireland | 16065 GBP for Whole course |
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