Prof Doc Data Science
Course overview
Start date
January 2021
Subject area
Computing
Attendance
Full-time
Part-time
Learning
On campus, dual delivery
Course summary
The Professional Doctorate in Data Science (D.DataSc) is aimed at professionals who wish to enhance and/or validate data-centric, evidence-based approaches within their chosen career through a combination of taught modules and doctoral research. A cross-disciplinary approach is central to the delivery of this programme and is therefore suitable for professionals in a broad range of professional disciplines and areas of employment.
“The ability to take data - to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it - that’s going to be a hugely important skill in the next decades.” (Hal Varian, Chief Economist at Google).
The programme is unique, international, and ground-breaking in offering a Professional Doctorate qualification in Data Science. D.DataSc is an earned doctorate that allows the holder to use the title ‘Dr’.
Return to campus: dual delivery
In a Covid-secure environment, enjoy learning on our state-of-the-art campuses and flex between online delivery
Find out moreBlock mode teaching, suitable for students in employment, allowing for professional skill development.
Integration of concepts, techniques and applications to enhance students’ knowledge and skills in the analytics pipeline.
Open Source software tools which are widely used in the field of Data Science to extract value from data.
Fees and funding
The Student Money Advice and Rights Team (SMART) are here to help you navigate
your finances while you're a student at the University of East London.
We can give you advice, information and guidance on government and
university funds so that you receive your full funding entitlement.
Email: study@uel.ac.uk
Phone: 020 8223 4444
- Apply for a Postgraduate Loan
- Take advantage of UEL scholarships and bursaries
- Ask your employer to sponsor your study
- Study part-time so you can work at the same time (applicable to courses that have a part-time mode)
- Look at UK Research and Innovation funding options
• By telephone
• In person at our Docklands or Stratford campus
• Bank transfer
The Student Money Advice and Rights Team (SMART) are here to help you navigate
your finances while you're a student at the University of East London.
We can give you advice, information and guidance on government and
university funds so that you receive your full funding entitlement.
Email: study@uel.ac.uk
Phone: 020 8223 4444
Per 30 Credit Module
International students are required to pay a deposit prior to being issued a Confirmation of Acceptance for Studies (CAS).
Your remaining balance will be paid in five monthly instalments over your first term. The first of these instalments must be paid when completing your enrolment on arrival at UEL. Please follow the payment instructions here.
After the required payment has been made, you will be asked to complete the online International Student Reply Form to confirm your acceptance of our offer and of our terms of admittance and fees policy.
As part of the Tier 4 student visa requirements, UK Visas and Immigration (UKVI) estimate that you will need £1,265* per month to cover your living costs. It includes expenses for accommodation, food and drink, travel within London, text books, entertainment, clothing, toiletries and laundry. Most Tier 4 students are required to show they have sufficient funds to cover the first nine months of the course before they start- a total of £11,385- in addition to the tuition fees. You can find more information about the specific requirements of the Tier 4 student visa here. The amount that you will spend can vary depending on your lifestyle. The UKCISA International Student Calculator can help you plan and manage your money.
* Please note the Immigration Rules are subject to change and this figure is likely to be increased by UKVI year on year. Please therefore check our ISA page for more information at the time of preparing your visa application.Our International team at UEL are available for advice and guidance on studying in London, fees, scholarships and visa requirements.
Email: international@uel.ac.uk
Entry requirements
We would normally expect you to have Grade C in GCSE English and Maths.
Applicants are required to have relevant Work Experience
If you do not meet the academic English language requirements for your course, you may be eligible to enrol onto a pre-sessional English programme. The length of the course will depend on your current level of English and the requirements for your degree programme. We offer a 5-week and an 11-week pre-sessional course. Find out more here.
Please note that some courses require applicants to meet the entry requirements outlined on the course page. Our pre-entry Information Advice and Guidance Team are able to provide further advice on entry requirements and suitability for study.
What we're researching
Data analysis, data mining and modelling, Geocomputation and mapping, and data management.
Professor Brimicombe is Head of the Centre for Geo-Information Studies 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 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 around 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 senior research fellow at UEL. He is a fellow of the Royal Geographical Society and a member of 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.
Making a difference
UEL is one of the UK’s leading modern research universities. In the most recent Research Excellence Framework (REF), 17 per cent of our overall research submission was classified as ‘world-leading’ for its quality and impact – almost double our previous REF score. A further 45 per cent of our work was considered ‘internationally excellent’.
What you'll study
We consistently review and develop our courses and modules to ensure they are up-to-date with sector and industry graduate skills demands. Course structure, modules and options are subject to change.
- Data Ecology (core)
- Applied Research Tools and Techniques (core)
- Research Method for Technologists (core)
- Planning for Doctoral Research (core)
- Work-based Project Review (core)
- Advanced Decision Making - Predictive Analytics and Machine Learning (option)
- Spatial Data Analysis (option)
How you'll be assessed
All the learning outcomes of the programme are assessed through:
• Laboratory session portfolios
• Coursework
• Research thesis
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.
Each taught module is based on one week's intensive attendance at the UEL 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 remaining 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.
Who will teach on this course
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.
What you'll learn
Our Doctoral Research course focuses on pure or applied aspects of Data Science, with each student studying data from within their main discipline or area of employment. You will learn reflective and analytic approaches to data while engaging in your own data research.
The taught elements of the course include Data Ecology, Research Methods for Technologists, Applied Research Tools and Techniques, Spatial Data Analysis, Advanced Decision Making, Work-based Project Reviews and Planning for Doctoral Research.
These elements will be reinforced by the specialist knowledge of our course leaders, whose fields of expertise includes data cleansing, data integration, data mining, spatial analysis and predictive analytics.
Their recent research has engaged them in data from crime statistics, natural hazards, public health and business, keeping them at the forefront of new developments in the field.
Our cross-disciplinary approach to the subject means that whatever your area of interest, our researchers will have the experience and expertise to enhance your knowledge and skills.
The taught modules on this course are available to be taken as credit-bearing short courses by suitably qualified individuals.
Your future career
This programme uniquely qualifies students in a field that is increasingly recognised as being central to most professional areas and research. The research component provides for 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 membership of the Royal Statistical Society.
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.
Explore the different career options you can pursue with this degree and see the median salaries of the sector on our Career Coach portal
