MRes in Geospatial Data Science
In year one, students will undertake an MRes in Geospatial Data Science. Although students predominantly study at their host institution, the programme also consists of several joint modules which requires students across both institutions working together. Toward the end of the MRes, students will start forming their PhD research proposal and selecting a supervision team.
The MRes has been designed around the five CDT research themes and will also include a group project and individual research project.
Spatial Statistics and Mathematical Methods
Statistics is a fundamental discipline in data science, this topic will introduce Students to the theory and practical application of modern statistical approaches for data handling and analysis, including the use of statistical software (e.g., R).
Big Data Spatial Analytics
Students will learn the fundamentals of Big Data data capture, management, analysis and programming. The module(s) will also introduce students to technology that is increasingly important in Geospatial Systems research, such as NoSQL databases, cloud computing and real-time Big Data analytics.
Spatial Analysis and Modelling
Students will extend their statistical knowledge and skills within the spatial analysis and modelling theme; covering spatial statistics and the theory and applied use of spatial simulation models (spatial equilibrium models, microsimulation, agent-based modelling (ABM)). The increasingly importance of AI, and in particular machine learning, for geospatial data analysis is recognised by further study where students will study supervised learning methods, cluster analysis, deep learning and feature extraction approaches.
Visualisation and Decision Support
Students will receive training in the modern methods of spatial data visualisation, such as virtual and augmented reality, and develop skills on how to deliver and present the outputs of geospatial data analysis and modelling; skills required to ensure that objective decisions and choices are made when using geospatial information.
Responsible Research and Innovation
Understanding the ethical, legal and social impact of the many different types of geospatial data now routinely collected (satellite, drones, social media, IoT and sensor networks) is critically important. To ensure a geospatially focused consideration of these important issues, all students will take a jointly delivered module on Understanding Geospatial Data: Social, Legal and Ethical Perspectives in Semester 2 at Newcastle.
In addition to formal taught lectures, this module will include a series of talks and seminars from industry, geospatial organisations so that students gain an excellent understanding of not only the theory behind the social, ethical and legal aspects of geospatial data, but also the practicalities of how this is delivered.
Students will undertake a group project that aims to integrate the knowledge gained and practical skills developed in the taught modules. Each group will work on a small but real-world problem which will require groups to integrate and utilise their learning from the geospatial data, analytics, modelling and visualisation modules, along with the computing and statistical skills acquired.
The group project will start with a three-day joint workshop, where the project challenge will be presented, and initial group activity undertaken along with appropriate academic mentoring.
Dissertation in Geospatial Data Science
The individual dissertation is a significant piece of independent work where the concepts and skills acquired in earlier modules is applied to a technical or applied piece of work. It will allow the development of specialist and specific knowledge and skills that relate directly to wider research interests. The dissertation will involve working closely with an appropriate supervision team and in many cases will offer the opportunity to engage and work with geospatial industry experts.
Upon successful completion of the MRes, during years 2-4 students will transfer and register on a PhD with their host insitution to conduct interdisciplinary research into smart cities, infrastructure resilience, spatial mobility, energy systems, sustainable spatial planning, social inclusion, global challenges or other geospatial application areas. The PhD research project will be funded over this three year period and supervised with a team tailored to specific topics.
During the PhD, students will continue to build on their skills with specific training on Leadership, Innovation & Enterprise and Responsible Research and Innovation. Students will also be given the opportunity for funded secondments to provide further real-world understanding of the relevant of their research from an industry perspective.