Study location	United Kingdom, Liverpool
Type	Master courses, full-time
Nominal duration	1 year
Study language	English
Awards	MSc

Tuition fee	To be confirmed

Entry qualification	Undergraduate diploma (or higher) university degree in Mathematics, Physics, Computing or related disciplines at 2.1 standard The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.

Language requirements	English Accepted proof of proficiency: Cambridge English, IELTS, TOEFL or other equivalent IELTS: 6.5 (with a minimum of 6.0 in each component) TOEFL (IBT): Overall score of 88 or above, with at least 21 in Listening and Writing, 22 in Reading and 23 in Speaking CAE: 176 points overall with no component less than 162

Other requirements	At least 2 reference(s) should be provided.

More information	Expenses, accommodation, working etc. liverpool.ac.uk/..nd-big-data-msc/overview

Overview

Big Data, a fusion of fast moving digital technologies, management and computer science offers a unique opportunity to study a contemporary subject and attain knowledge which may be applied in a variety of sectors and services.

There is growing demand in the industry and business communities for highly skilled managers with a sound strategic and applied understanding of the opportunities and challenges of Big Data. This programme is for those who wish to pursue a career in this rapidly growing and dynamic field.

Through this programme you’ll be able to:

- 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.
- Develop and demonstrate your own knowledge with a project dissertation.