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The MSc in Applied Data Science aims to train a new generation of data scientists to meet the growing demand for specialist skills in this field. Data Science has become a new and important discipline of science that has a wide range of applications (e.g. AgriTech, FinTech, HealthTech, EdTech, Transport). It includes solutions that handle big data from capturing, storing, processing, analysing data to visualising insights. These solutions can include data mining, machine learning, advanced analytics, data visualisation and in-database analytics.

Underpinned by the Department’s research expertise, a unique feature of the MSc in Applied Data Science programme is the embedding of skills and knowledge relevant to leadership in IT, technology innovation and enterprise, ethics, and research. These skills will be developed through a series of workshops conducted by relevant experts from within the University and from industry.

This programme is a specialist master’s programme for first-degree holders in computing-related majors such as computer science, computer engineering or software engineering. The programme consists of 3 common core modules, 3 specialised core modules, a leadership and innovation module, a work placement module, and an individual project. The programme strikes a balance between theory and practical skills, emphasising on technical know-how, innovation and application.

We can offer an intensive delivery model of 1.5 days of contact time per week in order to accommodate those who are in full-time employment.

Quality teaching

We offer high quality, traditional Oxbridge-style teaching, which leads to our degrees being recognised around the world. The standards of degrees and awards are safeguarded by distinguished external examiners – senior academic staff from other universities in the UK – who approve and moderate assessed work.

Teaching methods

Teaching is carried out through a combination of lectures supported by seminars and tutorials. A key feature of the Buckingham teaching method is the use of small tutorial groups which provide the most effective means of ensuring that the students benefit from the academic expertise at their disposal. It is also the philosophy of Buckingham’s faculty to be available to students outside the scheduled tutorial times and to encourage good working relationships between staff and students.

Assessment methods

The assessment of individual modules within each course varies according to the subject. Assessment is usually by examination, assessed coursework, or a combination of the two. Please check module information for more details.

Preparation for work

All our degree courses combine academic challenge with the transferable skills that will stand you in good stead for future employment. Many of our more vocationally-focused degrees offer the opportunity of work placements and experience in industry.

Graduate employment

Our graduates have gone on to further study at most of the world’s leading universities, including Harvard, London, Oxford and Cambridge and secured jobs in senior positions around the world. Among our alumni, we have a graduate who became the head of his country’s civil service and one who became a leading Formula One motor-racing driver. Another secured a position as the Minister of Sabah and one female law graduate became the first British lawyer to become a French Advocate.

What our students say

“One thing about The University of Buckingham is that it gives students the opportunity to work on various interesting projects and I grabbed this opportunity and worked with both my fellow Computing students and business students. I interned at a Software firm (Document Logistix) in Milton Keynes where I learnt a lot about the industry.”

Audu Emmanuel
MSc Applied Data Science 2021, BSc Computing and Software Entrepreneurship, 2018