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Masters Dissertation Scheme – Project Archive

The programme offers an exciting opportunity to link students on Masters courses and their university supervisors with leading retail companies on projects which are important to the retail industry.

The scheme provides the opportunity to work directly with an industrial partner and to link students’ research to important retail and ‘open data’ sources. The project titles are devised by retailers and are open to students from a wide range of disciplines. Below are examples of projects completed previously.

Researcher NameProject Title Partner Link
Akrash ChaudharyAnalysis of Wi-Fi usage data to identify customer experience improvement areasNational Broadband ProviderRead more
Jason DalrympleEvaluating the impact a restaurant aggregator might have on a UK National Restaurant Chain and with that impact in mind consider whether prevailing retail theories apply in the online worldNational Restaurant ChainRead more
Benedict FariaAssessing fairness/bias in binary classification machine learning models on consumersExperianRead more
James PryorCreating & Applying a Multivariate Index of London’s Housing Market using Machine LearningKnight FrankRead more
Valeria Rojas LinaresWhat is the potential for a Liverpool City Region bike share schemeLiverpool City Region Combined AuthorityRead more
Minal Suresh PatilCan we understand how demographics, product usage, revenue and product movements affect customers upsell journey?Virgin MediaRead more
Jessica SwainRetail Centre Health ScoringExperianRead more
Aude VuilliomenetStadia and Sporting Events in London, Use of GPS Data to analyse Spectator BehaviourMovement StrategiesRead more
Chengyu WangUnderstand spatial and temporal characteristics of HNWI’s aeromobility using Jet Card dataAir PartnerRead more
Aidan WatmuffAssessing the impact of broadband inequality in Liverpool City Region: Idenitfying the causes of broadband inequalityLiverpool City Region Combined AuthorityRead more
Marc WhalleyAnalysing customers who use discountsShop DirectRead more
Ding PG WongCorrelation and Predictive Analysis of Twitter data and Spending Activity in the UKBarclaysRead more
Yizhe XuImproving the Customer Profit Margin Forecast Based on the LRFMC Model in B2B Enterprise SettingAir Partner Read more
Yang ZhouRetail Centre Footfall: Planning and Forecasting Using Time Series ModellingMovement StrategiesRead more
2018
Ayesha AhmedPredicting customer churn for a telecommunication companyNational Broadband SupplierRead more
Emma BranaganThe Effects of Social Media on Trading Outcomes: A Company Case StudyShop DirectRead more
Yi CheungForecasting travel demand for the Elizabeth line using smartphone GPSMovement StrategiesRead more
Stefania FioreDo not blame the weather: a study of the relationship between weather and online retail salesShop DirectRead more
Lenka HasovaInvestigation of prescription flows between General Practices and Boots pharmacies via spatial interaction modelling techniquesBootsRead more
Klaudijus JaruseviciusUnderstanding Media Usage Trends in 10 Populous UK District AreasNational Broadband ProviderRead more
Alex JonesA hedonic regression analysis of prime Central London retail values, and what implications this may have for the future demand and rental values of the Battersea & Nine Elms developmentCluttonsRead more
Sophie de KokPredicting customer quality based on early shopping behaviour in online grocery retailSainsbury’sRead more
Jack LewisA pioneering sudy exploring retail centre attractiveness using GPS data in LondonMovement StrategiesRead more
Kahina Ait OuazzouAnalysing Customer Behaviour for Shopping Centres in London using GPS DataMovement StrategiesRead more
Ben SavelliFrom browsing to buying: an investigation into the life cycle of a customer considering a purchaseShop DirectRead more
Alex SchwarzWhat factors cause long transaction times at self-service checkouts?Marks and SpencersRead more
Thomas StathamForecasting network faults with Bayesian spatiotemporal statistical modelsNational Broadband ProviderRead more
Christopher StoreyAssessing retail space using mobile location historiesCBRERead more
Davina TijaniThe use of online behaviour data to develop a ‘Time of Day’ consumer classificationExperianRead more
Runsang YuUnderstanding footfall: using GPS data to define four shopping areas in LondonCBRERead more
2017
Adjoa Adu-PokuAn exploratory analysis of the temporal fluctuations in footfall around Hammersmith town centre in relation to Business Improvement District eventsHammersmith BID LondonRead more
Ulzhan BissarinovaCustomer pathway and in-store activitySainsbury’sRead more
Yifan CaoEstimate impact of slot availability on customer demand by using choice-based demand modelsSainsbury’sRead more
Sam ComberHow competitive is propensity score matching using ‘address embeddings’ with supervised classification for record linkage tasks?LDCRead more
Matthew GroveAn evaluation of the relationships between construction developments and retail vacancyBarbour ABI, LDCRead more
Jon HaycoxElectric vehicle charge placement optimisationE.ONRead more
Erin KnochenhauerPricing optimisation – a key tool in successful retailingShop DirectRead more
Neelam KundiExploring submarket trends in London: a constrained spatial interaction modelling analysisCluttonsRead more
William LaingWhere next for Parsons Bakery? A preliminary quantitative location assessment exploring the link between demographics, competition and other variablesParsonsRead more
Mary E LennonPropensity modelling – moving beyond standard regression models & explorations into online engagementShop DirectRead more
Christian TongeAn exploration of mobile data: towards proximity based passeger sensing on public transport Movement StrategiesRead more
Terje TrasbergIdentifying Socio-Spatial Inequalities in Student Housing in LondonKnight FrankRead more
Paula WhiteThe impact of the night tube on Westminster’s Night EconomyCity of WestminsterRead more
Daniel WinderCan harnessing the demographic characteristics of store catchments improve the planning of promotions and pricing strategies?Marks & SpencerRead more
Patrick WoodAn application of statistical and spatial analysis techniques to engineer callout data from a UK telecommunications companyNational Telecoms ProviderRead more
2016
Thomas AlberyPredicting customer churn for a telecommunication companyNational Broadband SupplierRead more
Apichaya BoonpratanpornAn investigation of what triggers customer activation of credit facilitiesShop DirectRead more
Ffion CarneySocial Energy Responsibility: Identifying Vulnerable Energy Customers Through a K-Means Clustering ApproachE.ONRead more
Duncan Clayton-SteadAn analysis of Argos concession store performance located in Homebase and Sainsbury’s stores across the UKArgosRead more
Alec DaviesHow does competitor presence influence the performance of click and collect sites?Sainsbury’sRead more
Jyldyz DjumalievaIdentifying drivers of full price sales of clothing and footwear for an online retailerShop DirectRead more
Luis Francisco Mejia GarciaUnderstanding and predicting consumer behaviour in music festivals with machine learning.Movement StrategiesRead more
Natalia GilThe performance of Argos concessions in other storesArgosRead more
Audrey HenkelsCan interactive data visualisations enable a retailer to identify new insights about customer purchase behaviour?Sainsbury’sRead more
Chrysanthi KolliaYouths Spending and GeodemographicsgoHenryRead more
Eirini MilaiouTopic extraction and document classification on textual survey data with unsupervised modelling techniques.CACIRead more
Ying ShenAn empirical study into Co-op On-the-Go Stores’ turn-in rate using a scorecard approachThe Co-operative FoodRead more
Ellen TalbotCustomer Segmentation using spatio-temporal data BootsRead more
Mariflor VegaClustering Market Baskets with Bagging and Latent Dirichlet Allocation at Customer and Transactional LevelsSainsbury’sRead more
2015
Thomas BerryModelling Multi-Channel Adoption at Sainsbury’sSainsbury’sRead more
Alexander BlandIdentifying fuel and poverty characteristics through e.on consumer records and geo-demographic segmentation dataE.ONRead more
Brendon EdwardsAn investigation into the effects of a relaxation of the current Sunday Trading Legislation on the Co-operative’s convenience storesThe Co-operative FoodRead more
Yiqao HuangShopping centre’s turnover estimation using microsimulation: an exploratory research in InvernessCACIRead more
Radoslaw KowalskiTopic modelling online customer reviewsArgosRead more
Karlo LugomerRelations between structure and performance of retail centres in England and Wales and demographics of their catchment areaseLDCRead more
Anastasia UshakovaCan we identify vulnerable energy customers from smart meter data?British GasRead more
Clemens ZauchnerIdentifying the main drivers of customer satisfaction and dissatisfaction by mining customer verbatim feedbackEasyJetRead more