Data Engineering

Entry requirements

We have the following pathways with varying entry requirements:

Standard: 2.1 Honours degree in a relevant subject.

Experienced: As per 'Standard' with evidence of Accredited Prior Learning (APL) in research training already undertaken.

Months of entry

September

Course content

Do you work in data science? Are you looking to undertake a research level qualification whilst still doing your job?

The EngD in Data Engineering is firmly couched in real world data science with a focus on practical application in industry. From machine learning to knowledge management, our academics work with a range of stake holders in cutting edge and industry relevant research that addresses real world challenges. If you already work on data intensive technologies, or need training to make the move into this area of science then this EngD is for you. You'll spend 75-80% of your time with your company, working on 4-6 flexible but research level projects. The remainder you'll spend with us training in Advanced Data Science topics, while being guided by your academic supervisor building on your industrial work and solving it's associated research problems.

An EngD gives you a solid industry application focus and offers a range of flexible pathways of differing duration to suit your individual needs. The research conducted as part of the EngD is applied to specific problems faced by the industrial partner, each problem couched as a research challenge.

Throughout the programme, students can undertake a tailored range of Advanced Masters courses that supplement the in-built research skills training and development provided as standard in the EngD programme.

Academia and industry work together in mentoring and training the student, who will graduate with the academic rigour necessary to undertake applied research, with skills and experience to apply that research capability directly within industry.