Master of Science - Building Information Modelling and Digital Transformation (BIM-DT) at University of Liverpool: Tuition: £17,850.00 GBP/year (Scholarship Available)
Competitive advantage and innovation in the digital world involves the accurate analysis and insights offered by big data — huge data sets that are constantly being generated — in order to improve effectiveness and efficiencies across several business areas, such as operations management and marketing. In order to exploit the insights provided by big data, business analytics and the effective use and understanding of data is crucial. This is a rapidly developing field, which is exhibiting massive demand from industry for qualified individuals in this area to take up roles in management globally.
Programme Overview
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.
Admission Requirements
- Minimum Level of Education Required: 4-Year Bachelor's Degree
- Min GPA: 70.0%
- English Proficiency Requirements:
For direct admission, applicant must be from an English speaking country or meet either of the following English test scores:
- Min TOEFL iBT: 79 (Min Listening: 12.0, Min Reading: 13.0, Min Speaking: 18.0, Min Writing: 21.0)
- Min IELTS overall: 6.5 (Min Listening: 6.0, Min Reading: 6.0, Min Speaking: 6.0, Min Writing: 6.0)
- Min PTE overall: 62 (Min Listening: 51, Min Reading: 51, Min Speaking: 51, Min Writing: 51)
Applicants interested in applying for direct admission, but are yet to complete an acceptable language test, can do so, but must provide valid results before receiving a final offer letter.For conditional admission, you are required to provide English proficiency scores:- Min TOEFL iBT: 46 (Min Listening: 4, Min Reading: 4, Min Speaking: 14, Min Writing: 14)
- Min IELTS overall: 5 (Min Listening: 4.5, Min Reading: 4.5, Min Speaking: 4.5, Min Writing: 4.5)
- Min PTE overall: 46 (Min Listening: 36, Min Reading: 36, Min Speaking: 36, Min Writing: 36)