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Business Analytics and Big Data at University of Liverpool - UCAS

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

The programme covers more than just the mining and analysis of data — it explores the wider application of big data to all business functions and creation of new business models. You will develop your knowledge of the organisation, administration and governance of this data, as well as honing your analytical, organisational and leadership skills. The programme is designed for students who wish to pursue a career in this dynamic field or continue their studies to PhD level. Developed in collaboration with industry contributors and partners including PepsiCo and AstraZeneca, the programme is also underpinned by multidisciplinary research. The programme was developed by academics in the Management School, with some modules supported by colleagues in Electrical Engineering and Electronics. Through this programme you will:

  • Prepare yourself as one of tomorrow’s managers and business executives with unique exposure to current business opportunities, challenges and developments in the area of big data business management
  • Learn with cutting-edge examples. In addition to presentations, lectures and tutorials, the academic content of the programme is underpinned by case studies and projects which are supported by leading industry practitioners and researchers including Software, AG, SAP, IBM and Terracotta
  • Develop and demonstrate your own knowledge with a project dissertation
  • Undertake work based placements with leading companies.

Modules

The 12-month programme consists of five compulsory modules and three optional modules followed by the Main Project over the summer period on completion of Semester 2 (EBUS635 or EBUS621). Students are required to complete 180 credits to achieve a full MSc.


Entry requirements

The University of Liverpool Management School continues to welcome applications that fulfil our admissions criteria in order to select a balanced international student cohort. However in order to maintain the high quality of student experience, programmes will stop accepting new applications from certain countries once the number of offers from these countries exceed the target. As students from different countries tend to apply at different points in the application period, applications from some countries may close earlier in the year. In these cases we will aim to provide a 3-week notice period to the affected country, prior to any programme closure. This programme will not be accepting applications from nationals of mainland China from the end of the day on 2nd December 2019. Normally a Physics, Mathematics, Computing, Engineering, Management or related disciplines at 2:1 standard from a UK university, or an equivalent academic qualification from a similar non-UK institution is required. Non-graduates with very extensive professional experience and/or other prior qualifications may also be considered. All candidates must meet our required level of English. International qualifications: Applications from international students are welcomed. Country specific information on entry requirements is listed on our website: www.liverpool.ac.uk/international/countries/index.htm. International qualifications will be evaluated in line with the National Academic Recognition Information Centre (NARIC) guidelines.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Please visit the University of Liverpool course page for up to date fee information.
Business Analytics and Big Data at University of Liverpool - UCAS