EngD Data Engineering

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In your application you’ll need to include:

• The name of this programme
• Your research project title (i.e. the advertised project name or proposed project name)
• Your supervisor’s name
• If you already have funding or you wish to be considered for any of the available funding
• Details of your previous study
• Names and contact details of your two referees.

• Checked you meet the minimum eligibility criteria for postgraduate research in the Faculty of Science and Engineering.
• Identified the specific research project, CDT or dual-award you'd like to apply for or, if you already have funding, determined your own research project and title and discussed this with a supervisor.  
• Contacted the project supervisor and spoken to them about your suitability for the project.  
• Browsed funding you are eligible for and discussed this with your supervisor, if you don't already have your own funding.  

• Certificates: Certificates and final transcripts of any completed university-level qualifications and interim transcripts for qualifications in progress. If your transcripts are in a language other than English, you must provide an official English translation.  
• CV: Summarising your academic record and highlighting experience that demonstrates your potential to conduct research.  
• English language proof: A certificate or evidence demonstrating your English language ability and proficiency. Applications can be considered without this evidence but any offer would be conditional on meeting minimum requirements.  
• Referees: Names and contact details of two academic referees who we can get in contact with and will support your application.

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.

The Department of Computer Science is one of the largest in the UK covering a huge spectrum of Computer Science topics. We currently have research groups ranging from Advanced Processor Technologies to Text Mining.

Our core Computer Science research is augmented by interdisciplinary research taking place at the interface with discipline areas including mathematics, physics, medicine and biology.

A detailed overview of the Department's research groups and core and interdisciplinary research themes is available in the 'research' area of our website and you can identify a possible project from our list of available projects .

Our research students have the opportunity to develop their skills through robust and flexible training that is designed to:

• Develop the research skills needed to plan and conduct research, write a thesis and disseminate research findings to stakeholders and the international research community;
• Develop competencies which will equip you for a diverse range of roles in industry whilst also contributing to the body of knowledge of a particular technical discipline, industrial sector or multi-disciplinary theme.
• Equip each student with the broader skills to become world leading industry professionals and researchers in the next generation.

All of our research degree programmes are based on supportive supervision in our outstanding research environment. You will carry out a programme of research in a particular area under the supervision of a primary supervisor and one or more co-supervisors. Your primary supervisor would be a research active member of academic staff in the Department of Computer Science with a co-supervisor from the industrial partner, selected to suit the project scope and specific skills required.

Opportunities exist in a diverse range of areas such as finance, films and games, pharmaceuticals, healthcare, consumer products, and public services.

The University of Manchester Careers Service can offer support and guidance.