Management Science PhD student

PhD Programmes 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.

About the programme

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.

Campus

"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

Programme Structure

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. 

Business & Management

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.

ModuleCredits
Term One  
Research Philosophy and Methods 15
Understanding Your Discipline 15
Searching for Information in Management Research (non-assessed)  
Plagiarism (2 hour seminar, assessed)  
Ethics and Research (2-hour seminar, assessed)  
Years 2 and 3  

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.

 

NATCOR

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:

ModuleCredits
Term One  
Research Philosophy and Methods 20
Plagiarism Compulsory
Ethics and Research Compulsory

Research Training 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.

SeminarCompulsory/Optional
Term One  
Strategies for Success: Managing your PhD - Getting Started Optional
Plagiarism Compulsory
Ethics and Research Compulsory
Evaluating Academic Literature & Writing Your Literature Review Optional
Managing Writing Optional
Career Planning Part 1 - preparing to secure an academic post Optional
Writing retreat Optional
Career Planning Part 2 - Developing an online Academic Portfolio Optional
Term Two  
Career Planning Part 3 - Applying for Academic Jobs Optional
Nvivo Training 1 Optional
Establishing an Intellectual Identity Optional
Strategies for success: Managing your PhD - Staying Focused, Getting Finished Optional
Panels and Reviews Optional
Enjoying your Viva Optional
Writing for Academic Journals in the Context of your Career Optional
How to Write a Thesis Optional
Writing Retreat / Nvivo training 2 Optional
Term Three  
How to Present your Work in Public and at Conferences   Optional
Getting an Academic Job and Managing your Career Optional
How to Get your Book Published / Atlas Session 1 Optional
Postdoc Funding Optional
Atlas Session 2 Optional
Writing Retreat Optional

Internships

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.

Where and when will they take place?

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.

Who are they aimed at?

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.

Why consider applying for an internship?

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:

  • Learn how to structure research problems.
  • Learn how to apply quantitative and qualitative skills to important practical problems.
  • Gain an insight into what it would be like to do a PhD.
  • Gain an understanding of whether a research-oriented career is right for you.

Want to know more?

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.

How to Apply

To apply please send the following information in an email to: g.bentinck@lancaster.ac.uk

  • a current copy of your CV;
  • a covering letter explaining why you wish to do a research internship;
  • an up-to-date copy of the degree courses you have studied including marks awarded.

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.

PhD Projects

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.

  • Queue Modelling for Call Centre Management – Efi Chassioti (2005)
  • Empirical Investigation of Conceptual Modelling and the Modelling Process – Wang Wang (2007)
  • Determining the range of predictions for calibrated agent-based simulation models - DongFang Shi (2008)
  • On queues with time varying demand  - Navid Izady (2010)
  • Generic simulation modelling of Accident and Emergency patient flows in acute hospitals in England – Adrian Fletcher (2012)
  • Combining forecasting and queueing models for call centre staffing – Xi Chen (2014)
  • An Agent-Based Model of the IL-1 Stimulated Nuclear Factor-kappa B Signalling Pathway – Richard Williams (2015)
  • The development and application of an analytical healthcare model for understanding and improving hospital performance – Dan Suen (2016)
  • Methods for enhancing system dynamics modelling: state-space models, data-driven structural validation & discrete-event simulation – Mark Bell (2017)
  • Online Discrete Event Simulation for the Management of Inpatient Beds (ongoing)
  • Uncertainty Quantification and Simulation Arrival Processes (ongoing)
  • Symbiotic Simulation in an Airline Operations Environment (ongoing)
  • Agent-based simulation of financial markets (ongoing)
  • Agent-based simulation of classroom interactions (ongoing)
  • Simulation optimisation in forest land allocation between forest-dependent wildlife habitat conservation and other competitive uses (ongoing)
  • Bayesian Bandit Models for the Optimal Design of Clinical Trials – Faye Williamson (ongoing)
  • Optimal Search Accounting for Speed and Detection Capability – Jake Clarkson (ongoing)
  • Dynamic allocation of assets subject to failure or depletion – Stephen Ford (ongoing)
  • Robust and Stochastic Optimisation Approaches to Network Capacity Expansion and QoS Improvement – Francis Garuba (ongoing)
  • Simulation and Optimization of Scheduling Policies in Dynamic Stochastic Resource-Constrained Multi-Project Environments – Ugur Satic (ongoing)
  • Business & Management

    Business & Management

    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.

    ModuleCredits
    Term One  
    Research Philosophy and Methods 15
    Understanding Your Discipline 15
    Searching for Information in Management Research (non-assessed)  
    Plagiarism (2 hour seminar, assessed)  
    Ethics and Research (2-hour seminar, assessed)  
    Years 2 and 3  

    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.

     
  • NATCOR

    NATCOR

    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:

    ModuleCredits
    Term One  
    Research Philosophy and Methods 20
    Plagiarism Compulsory
    Ethics and Research Compulsory
  • Research Training Seminars

    Research Training 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.

    SeminarCompulsory/Optional
    Term One  
    Strategies for Success: Managing your PhD - Getting Started Optional
    Plagiarism Compulsory
    Ethics and Research Compulsory
    Evaluating Academic Literature & Writing Your Literature Review Optional
    Managing Writing Optional
    Career Planning Part 1 - preparing to secure an academic post Optional
    Writing retreat Optional
    Career Planning Part 2 - Developing an online Academic Portfolio Optional
    Term Two  
    Career Planning Part 3 - Applying for Academic Jobs Optional
    Nvivo Training 1 Optional
    Establishing an Intellectual Identity Optional
    Strategies for success: Managing your PhD - Staying Focused, Getting Finished Optional
    Panels and Reviews Optional
    Enjoying your Viva Optional
    Writing for Academic Journals in the Context of your Career Optional
    How to Write a Thesis Optional
    Writing Retreat / Nvivo training 2 Optional
    Term Three  
    How to Present your Work in Public and at Conferences   Optional
    Getting an Academic Job and Managing your Career Optional
    How to Get your Book Published / Atlas Session 1 Optional
    Postdoc Funding Optional
    Atlas Session 2 Optional
    Writing Retreat Optional
  • Internships

    Internships

    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.

    Where and when will they take place?

    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.

    Who are they aimed at?

    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.

    Why consider applying for an internship?

    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:

    • Learn how to structure research problems.
    • Learn how to apply quantitative and qualitative skills to important practical problems.
    • Gain an insight into what it would be like to do a PhD.
    • Gain an understanding of whether a research-oriented career is right for you.

    Want to know more?

    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.

    How to Apply

    To apply please send the following information in an email to: g.bentinck@lancaster.ac.uk

    • a current copy of your CV;
    • a covering letter explaining why you wish to do a research internship;
    • an up-to-date copy of the degree courses you have studied including marks awarded.

    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.

  • PhD Projects

    PhD Projects

    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.

    • Queue Modelling for Call Centre Management – Efi Chassioti (2005)
    • Empirical Investigation of Conceptual Modelling and the Modelling Process – Wang Wang (2007)
    • Determining the range of predictions for calibrated agent-based simulation models - DongFang Shi (2008)
    • On queues with time varying demand  - Navid Izady (2010)
    • Generic simulation modelling of Accident and Emergency patient flows in acute hospitals in England – Adrian Fletcher (2012)
    • Combining forecasting and queueing models for call centre staffing – Xi Chen (2014)
    • An Agent-Based Model of the IL-1 Stimulated Nuclear Factor-kappa B Signalling Pathway – Richard Williams (2015)
    • The development and application of an analytical healthcare model for understanding and improving hospital performance – Dan Suen (2016)
    • Methods for enhancing system dynamics modelling: state-space models, data-driven structural validation & discrete-event simulation – Mark Bell (2017)
    • Online Discrete Event Simulation for the Management of Inpatient Beds (ongoing)
    • Uncertainty Quantification and Simulation Arrival Processes (ongoing)
    • Symbiotic Simulation in an Airline Operations Environment (ongoing)
    • Agent-based simulation of financial markets (ongoing)
    • Agent-based simulation of classroom interactions (ongoing)
    • Simulation optimisation in forest land allocation between forest-dependent wildlife habitat conservation and other competitive uses (ongoing)
    • Bayesian Bandit Models for the Optimal Design of Clinical Trials – Faye Williamson (ongoing)
    • Optimal Search Accounting for Speed and Detection Capability – Jake Clarkson (ongoing)
    • Dynamic allocation of assets subject to failure or depletion – Stephen Ford (ongoing)
    • Robust and Stochastic Optimisation Approaches to Network Capacity Expansion and QoS Improvement – Francis Garuba (ongoing)
    • Simulation and Optimization of Scheduling Policies in Dynamic Stochastic Resource-Constrained Multi-Project Environments – Ugur Satic (ongoing)

Studentships & Funding

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.

Apply for PhD
PhD students

Job Market Candidates

Our Management Science job market candidates students for 2017-2018 are listed below. For further details, please contact the Doctoral Office.

Student Profiles