Data Science Prof Doc

This course is in clearing

Why study at UEL?

Top 40 UK university

Guardian University Guide 2026

Top ten in the UK

Overall Positivity, National Student Survey 2025

Fastest Rising in England for graduate employability

Graduate Outcomes Survey 2025

Overview

Course modules

Our Data Science Prof Doc is designed to connect advanced data science theory with real-world application through its unique, multi-level structure. The programme has five core modules: A Data Ecology module, where you'll explore the entire data value chain; two Level 8 doctoral research preparation modules, getting you ready for high-level academic enquiry; and two Level 7 professional practice modules, honing your applied skills. This professional doctorate champions open-source environments for hands-on research. You can choose optional modules in areas like algorithmic decision-making and spatial data analysis. The Data Science doctorate is perfect for experienced professionals looking to conduct rigorous research, tackling the complex challenges of Industry 4.0. You'll develop knowledge with direct, practical application for various organisational settings.

NOTE: Modules are subject to change. For those studying part time courses the modules may vary.

Download course specification

Entry requirements

Professional Doctorate:

What makes this course different

Professional skill development

Block mode teaching, suitable for students in employment, allowing for professional skill development.

Enhanced knowledge

Integration of concepts, techniques and applications to enhance students' knowledge and skills in the analytics pipeline.

Open Source software tools

Open Source software tools which are widely used in the field of Data Science to extract value from data.

Course options

Start date

Professional Doctorate

Data Science Prof Doc, home applicant, full time

  • Home Applicant ,
  • Full time, 3 years
  • first year fees £10,980 (taught element), then £6,500 per year for the next two research years.

Data Science Prof Doc, home applicant, part time

  • Home Applicant ,
  • Part time, 5 years
  • first year fees £1,830 (taught element) per 30 credit module, then £3,250 per year for the next three research years.

Data Science Prof Doc, international applicant, full time

  • International Applicant
  • Full time, 3 years
  • first year fees £17,220 (taught element), then £17,400 per year for the next two research years.

Data Science Prof Doc, international applicant, part time

  • International Applicant
  • Part time, 5 years
  • first year fees £2,780 (taught element) per 30 credit module, then £8,700 per year for the next three research years.

What we're researching

Data analysis, data mining and modelling, Geocomputation and mapping, and data management.

Professor Brimicombe is Emeritus Professor at UEL. He is a Chartered Geographer, an Academician of the Academy of Social Sciences, a Fellow of the Royal Statistical Society, a fellow of the Royal Geographical Society, deputy chair of the National Statistician's Crime Statistics Advisory Committee and a non-executive committee member of the British Society of Criminology. He has been a Specialist Advisor to the House of Lords.

Allan's expertise focuses on cross-disciplinary applications of Geo-Information Science and Data Science. Allan pioneered the use of geo-information systems and environmental simulation modelling. His other research interests include data quality issues, spatial data mining and analysis, predictive analytics and location-based services (LBS). These have been applied to crime, health, education, natural hazards, utilities and business.

Allan's recent projects include Olympic Games Impact Studies and Smart City Studies.

Dr Yang Li is a fellow of the Royal Geographical Society, a fellow of the Royal Statistical Society, a fellow of the Higher Education Academy and a member of the Association of Geographic Information.

Yang has rich experiences in both applications and research of Data Science and Geo-Information Science. He has expertise in data integration, data mining and data modelling. Particularly, he is a specialist in geocomputational analysis including data quality modelling and sensitivity analysis.

Yang's recent projects include Olympic Games Impact Studies, the Prevent Project of the Home Office and TURaS.

Your future career

This programme uniquely qualifies you in a field increasingly recognised as central to most professional areas and research. The research component provides a solid grounding in methods and engagement with leading-edge ideas. Job opportunities in data science are rising exponentially. Holders of a Professional Doctorate in Data Science will have the highest possible qualification in this area and prepare them for senior positions. They will also be eligible to apply for Royal Statistical Society membership.

Job roles

Our students are professionals from a diverse range of areas. They include a global compliance engineer, a senior system analyst, an analytical chemist, an assistant dean at Qatar University, a SAP technology consultant from Germany, an IT trainer, a senior project manager with Diageo, an ICT manager from Ireland, a lecturer in databases from Oman, a principal consultant with Verizon, a company MD, a senior analytical consultant with TripAdvisor, a consultant with HSBC,  a software developer with HMRC, a school teacher, a marketing officer,  a data manager in Microsoft and a data analyst from New York. 

All are looking to improve their career options and general expertise in this expanding market.

How we support your career ambitions

We offer dedicated careers support, and further opportunities to thrive, such as volunteering and industry networking. Our courses are created in collaboration with employers and industry to ensure they accurately reflect the real-life practices of your future career and provide you with the essential skills needed. You can focus on building interpersonal skills through group work and benefit from our investment in the latest cutting-edge technologies and facilities.

Career Zone

Our dedicated and award-winning team provide you with careers and employability resources, including:

  • Online jobs board for internships, placements, graduate opportunities, and flexible part-time work.
  • Mentoring programmes for insight with industry experts
  • 1-2-1 career coaching services
  • Careers workshops and employer events
  • Learning pathways to gain new skills and industry insight

Mental Wealth programme

Our Professional Fitness and Mental Wealth programme issues you with a Careers Passport to track the skills you’ve mastered. Some of these are externally validated by corporations like Amazon and Microsoft.

Our Mental Wealth programme

We are careers first

Our teaching methods and geographical location put us right up top

  • Enterprise and entrepreneurship support
  • Ranked 2nd for graduate start-ups (2023/24)
  • Networking and visits to leading organisations
  • Support in starting a new business, freelancing and self-employment
  • London on our doorstep

How you'll learn

This programme includes six taught modules and a Research Thesis and is available in full-time and part-time modes. Delivery of taught modules is by block and blended learning.

For those studying full-time, there are two years of research and for those studying part-time,  it is two years of taught modules and three years of research.

Each taught module is based on one week's intensive attendance at the Docklands campus, according to an advertised calendar, usually at the beginning of each semester. Students are expected to have a laptop computer for in-class practical sessions. During the remainder of the semester, students can work on their reading, practical components (from a workbook) and coursework. Students will be supported online or on campus depending on individual students' arrangements. The taught modules on this programme are available to be taken as credit-bearing short courses by suitably qualified individuals.

How you'll be assessed

All the learning outcomes of the programme are assessed through:

  • Laboratory session portfolios
  • Coursework
  • Research thesis

Campus and facilities

Who teaches this course

This course is delivered by the School of Architecture, Computing and Engineering.

The teaching team includes qualified academics, practitioners and industry experts as guest speakers. Full details of the academics will be provided in the student handbook and module guides.