Other sections in Management Science:
The doctoral programme in Management Science offers students the ideal opportunity to research in depth as a prelude to an academic or consulting career.
Our PhD programme is highly interactive with a large number of students in operational research, operations management, and information systems and e-business. There are many opportunities to interact with faculty, industry, and co-students, both formal and informal. This offers a supportive environment in which to study.
You will have a member of staff appointed as a supervisor to guide your research study, and where it is helpful two supervisors may be appointed. Part-time students working a significant distance from Lancaster may additionally have a local research adviser. On arrival we will assign you a study room and computer, and as you progress through the programme you will be funded to attend appropriate conferences and workshops, both national and international. For more information on potential research topics and supervisors within this department, please visit our search for a supervisor page.
Discover our job market candidates for 2017/18.
"The investment in my PhD was well worth it, and every time I open the LUMS homepage and see how high the University climbs in all the rankings, I am reminded of my wonderful time spent there. "
James Langabeer, PhD Management Science 2009
The PhD in Management Science includes two PhD pathways known as Business and Management and NATCOR. We also have Integrated PhD (1+3), MPhil and MRes opportunities. For details, please see below or the PhD Management Science handbook.
Below is an overview of the modules you will study throughout your first year on the PhD in Management Science. Please note, you will follow this pathway if your research lies in Operations Management and Information Systems.
You will be required to attend a minimum of 7 days (50 hours) additional, specialist research training during years 1 and 2 of your studies, to be agreed with your supervisors and the programme director. You will need to write a brief report (circa 500 words) setting out how each piece of training has contributed to your research. At least 2 days (14 hours) of training should be undertaken in Year 1.
Please note: your training can be delivered by LUMS, Lancaster University, ESRC, NARTI or other relevant bodies to your discipline, and it can also be accredited or unaccredited.
Students following the NATCOR pathway are required to attend five residential courses over a two year period. These courses cover: Combinatorial Optimisation, Convex Optimisation, Heuristics, Simulation and Stochastic Modelling. For more information and to apply please visit the NATCOR website. Students are also required to take the following module and seminars:
These seminars are open to PhD students from all programmes, with two compulsory seminars in the first term. All PhD students are strongly encouraged to attend the seminars that you think will aid your study.
If you aren't sure whether research is for you, our summer internships are a great way for undergraduate students to experience life as a researcher.
Internships in the Department of Management Science offer a unique opportunity for undergraduate students to experience and learn about research problems in Operational Research and how various challenging problems can be explored. Interns will have the opportunity to develop their own ideas in a topic linked to faculty research interests. Management Science interns will be supported by a bursary of £275 per week.
The internship scheme will run for 10 weeks over the summer vacation from 9th July to 31st August 2018. During this time you will engage in research with leading academics from the Department of Management Science at Lancaster University.
The internships are aimed at giving an insight into what a PhD research is really like, and are open to students interested in the possibility of undertaking a PhD. Our scheme is aimed at UK and EU students about to enter their final year of undergraduate study, who expect to achieve a 1st class degree - this includes, for example, mathematics, statistics, computing, business studies, physics and engineering. We regret that we cannot consider any applications from non-EU students.
As a management science intern you will be joining other high-calibre undergraduate students studying in the vibrant research environment at Lancaster University supported by a bursary of £275 per week.
Through the scheme, you will:
This is the fourth year the Department has run this scheme, which is modelled on a successful scheme in quantitative statistics and operational research, STOR-i. Find examples of recent projects, plus testimonials and blogs from recent interns on the established STOR-I scheme.
To apply please send the following information in an email to: firstname.lastname@example.org
We regret that we will not be able to consider any applications from overseas (non-EU) students. The application deadline is Monday, 9th April 2018, and interviews will be arranged in due course (they will be conducted by Skype for non-Lancaster students).
Please note that you do not have to apply individually for both Management Science and STOR-i internships. If you have already made an application for the STOR-i internships and also wish to be considered for Management Science please just let us know.
A selection of our recent and current PhD projects are listed below. These include topics within the STOR-i Doctoral Training Centre which is a joint venture between the Department of Mathematics and Statistics, and the Department of Management Science. These projects usually have supervisors in both departments and/or an industrial partner.
We offer a range of funding opportunities and studentships through Lancaster University, UK research councils and various other organisations. For more details please visit our Apply for PhD page.
Our Management Science job market candidates students for 2017-2018 are listed below. For further details, please contact the Doctoral Office.
PhD Management Science, 2015
PhD Management Science, 2013