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MSc in Geographic Data Science

Programme Code: TMGEODS

Department: Geography & Environment

For students starting this programme of study in 2021/22

Guidelines for interpreting programme regulations

Classification scheme for the award of a taught master's degree (four units)
Exam sub-board local rules

Full-year programme. Students must take courses to the value of four full units.

Please note that places are limited on some optional courses. Admission onto any particular course is not guaranteed and may be subject to timetabling constraints and/or students meeting specific prerequisite requirements.


Course number, title (unit value)

Year 1

Paper 1

GY476 Applied Geographical Information Systems (0.5) and GY460 Techniques of Spatial Economic Analysis (0.5) #

Paper 2

Courses to the value of 1.0 unit(s) from the following:


GY428 Applied Quantitative Methods (0.5) #


MY470 Computer Programming (0.5)


ST445 Managing and Visualising Data (0.5)


ST446 Distributed Computing for Big Data (0.5) #


ST455 Reinforcement Learning (0.5) #


ST456 Deep Learning (0.5) #


MY474 Applied Machine Learning for Social Science (0.5) # 1 or


ST443 Machine Learning and Data Mining (0.5) # 2

Paper 3

Courses to the value of 1.0 unit(s) from the following:


GY400 The Economics of Urbanisation (0.5) #


GY404 Inclusive Growth (0.5) #  (not available 2021/22)


GY415 Local Capacity and Economic Development Policy (0.5)


GY426 Environmental and Resource Economics (1.0) #


GY448 Urban Planning: Society, Market and Sustainability (0.5)


GY454 Urban Policy and Planning (0.5) #


GY455 Economic Appraisal and Valuation (0.5)


GY457 Applied Urban and Real Estate Economics (1.0) #


GY473 Economic Development and the Environment (0.5) #

Paper 4

GY485 Dissertation - MSc Geographic Data Science and MSc Real Estate Economics and Finance (1.0)

Prerequisite Requirements and Mutually Exclusive Options

1 : MY474 can not be taken with ST443

2 : ST443 can not be taken with MY474

# means there may be prerequisites for this course. Please view the course guide for more information.

Note for prospective students:
For changes to graduate course and programme information for the next academic session, please see the graduate summary page for prospective students. Changes to course and programme information for future academic sessions can be found on the graduate summary page for future students.