Intelligent Modelling and Analysis PhD


Fact file

PhD Intelligent Modelling and Analysis
Entry requirements
2:1 (or international equivalent) in computer science or other relevant area.
6.5 (with no less than 6.0 in any element) If these grades are not met, English preparatory courses are available
Other requirements

Research overview

Postgraduate study for the degree of PhD is offered in the Intelligent Modelling and Analysis (IMA) Research Group in computer science. Postgraduates without sufficient training in computer science at first-degree level may be required to attend appropriate taught modules.

IMA has established itself as a unique brand in the UK for end-to-end data modelling and analysis. We are a highly inter-disciplinary research group focusing on the development of models and techniques for real-world and multifaceted problems in data analysis.

We encompass researchers from a variety of backgrounds including computer science, the biomedical sciences, operational research, mathematics, statistics and complexity science. The group currently has seven permanent academics, one support staff, ten research staff and over 40 Marie Curie Fellows and PhD students. We hold over £33 million in current external research funding and have led a further £6 million of completed projects.

The IMA group undertakes research into intelligent modelling and data analysis techniques to enable deeper and clearer understanding of complex physical and physiological problems. A particular strength of the group lies in the biomedical and security fields where extremely large data volumes have to be analysed in (near) real-time to very high levels of accuracy.

Typical techniques used by the IMA group include: artificial intelligence based data mining, artificial immune systems, computational modelling, discrete and agent-based simulation, fuzzy methodologies, image analysis and multi-sensor data fusion.

IMA's main research objectives are to:

  • conduct inter-disciplinary research to investigate novel and adventurous real-world problems
  • focus on modelling, representation and transformation techniques to enable better decisions
  • support the integration of emerging methodologies with more traditional approaches
  • explore the applicability of complexity science to real-world challenges.


The school’s programme of research welcomes applications from students who wish to pursue the award of PhD by full-time or part-time study. Research students come to the school from within the UK as well as from around the globe, including the EU, the Middle and Far East, Latin America, Africa and South Asia. With this diversity of cultural and disciplinary backgrounds, our students constitute a rich, rewarding and supportive postgraduate research community within The University of Nottingham’s UK, Malaysia and Ningbo China campuses. For a richer global experience, it is possible for joint supervision to be agreed between the UK and one of the University’s international campuses.

A small number of EPSRC awards are available for suitably qualified candidates. All research students are involved in the Postgraduate Professional Development Programme. The school's energetic research culture also involves a programme of visiting speakers and regular symposia organised by staff and students.

The school offers research students:

  • advanced research training
  • expert supervision (from staff who are global leaders within their field)
  • support and help with publishing research 
  • school research seminars/work in progress sessions 
  • access to a dedicated research director, whose role links into the school’s PG research learning community forum and research committee 
  • well-equipped work bases, with excellent library facilities and some dedicated research based spaces such as the robotics and mixed reality laboratories
  • support for research trips and conference attendance
  • library facilities and online resources provide a level of access to material that students could only expect in a research-intensive university
  • excellent IT facilities including high-speed networking, in-house servers and specialist school technical services staff.

Research support

A number of University support services exist to assist you during your time at Nottingham and beyond. The Postgraduate Students' Association (PGSA) are a particularly important source of support.


Find a supervisor

We encourage you to get in touch with a member of academic staff about your research proposal before submitting an application. They may be able to help you with your proposal and offer support to find funding opportunities in your area. Details of research supervisors at the University can be found on our research A to Z.



UK/EU Students

The University Graduate School operates two schemes of its own to help support current postgraduate research - the Graduate School Travel Prize and Universitas21 funding. For prospective students the University has introduced a new funding database . The Graduate School also holds a list of other sources of funding. Studentship opportunities are also available. 

Government loans for doctoral study

The Government plans to introduce doctoral student loans of up to £25,000 for PhDs and equivalent research programmes from 2018. Applicants must ordinarily live in England and more details are expected to be announced in due course.

Doctoral training programmes

Linked to research councils, doctoral training programmes offer funding opportunities connected to our research priorities.

International and EU students

Research scholarships are available for outstanding international and EU students. You must already have an offer to study at Nottingham to apply. Please note closing dates to ensure your course application is submitted in good time.

Information and advice on funding your degree, living costs and working while you study is available on our website, as well as country-specific resources.



Visit the school page for additional opportunities

Average starting salary and career progression

In 2016, 95% of postgraduates from the School of Computer Science who were available for employment had secured work or further study within six months of graduation. The average starting salary was £27,550 with the highest being £40,000.*

*Known destinations of full-time home postgraduates 2015/16. Salaries are calculated based on the median of those in full-time paid employment within the UK.

Career Prospects and Employability

The University of Nottingham is consistently named as one of the most targeted universities by Britain’s leading graduate employers* and can offer you a head-start when it comes to your career.

Our Careers and Employability Service offers a range of services including advice sessions, employer events, recruitment fairs and skills workshops – and once you have graduated, you will have access to the service for life. 

* The Graduate Market 2013-2016, High Fliers Research


This online prospectus has been drafted in advance of the academic year to which it applies. Every effort has been made to ensure that the information is accurate at the time of publishing, but changes (for example to course content) are likely to occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for the course where there has been an interval between you reading this website and applying.

Nadine Holmes
School of Computer Science
The University of Nottingham
Jubilee Campus
Wollaton Road
NG8 1BB 

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