Geographic Data Science MSc

Program Overview

The MSc in Geographic Data Science at the University of Liverpool equips graduates with advanced skills in GIS, statistical analysis, and data science to address geographical challenges in areas such as climate change, urban planning, and food security. The program combines coursework, hands-on workshops, and a final project with a focus on developing fluency in digital tools and applications. Graduates are prepared for careers in data science, GIS consulting, public sector roles, and research, with a strong foundation in spatial analysis and problem-solving.

Program Outline

Degree Overview:

This MSc program in Geographic Data Science aims to equip students with a comprehensive understanding of quantitative and computational geographical methods. The program focuses on developing skills in GIS software and statistical programming languages like R and Python. Students will learn to visualize, model, and statistically analyze conventional and novel data sources, including censuses, social surveys, satellite imagery, and social media. The program emphasizes the application of these skills in real-world settings, particularly in addressing geographical challenges related to climate change, food and water security, energy systems, and urban planning.

Outline:

The program is structured as a full-time 12-month or part-time 24-month course. It is divided into three parts:

• Semester One:
• Compulsory Modules:
• Qualitative Research Methods (ENVS441):
This module explores qualitative research methods comprehensively, covering research philosophy, design, individual methods, and analysis. Students learn to select appropriate methods for specific research problems.
• Social Survey Analysis (ENVS450): This module introduces the analysis of social survey data, covering descriptive and inferential statistics, data visualization, regression modeling, and model diagnostics.
The module utilizes the R programming language.
• Geographic Data Science (ENVS563): This module introduces the field of Geographic Data Science (GDS), focusing on the intersection of GIS and Data Science.
Students learn to integrate GIS and Data Science tools to solve real-world problems.
• Applied Geographic Information Science (ENVS609): This module teaches students how to use GIS tools to create digital representations of the world, emphasizing potential problems and pitfalls.
The module includes practical labs to develop GIS skills.
• Optional Modules:
• Theorising Human Geography (ENVS416): This module introduces students to the latest debates in human geography, taught through seminars and assessed through a 4000-word essay.
• Web Mapping and Geovisualisation (ENVS456): This module covers web-based map visualization and analysis, emphasizing the importance of time and location in new data forms.
• Optional Modules:
• Population Science (ENVS418): This module introduces fundamental techniques of population science theory and the analysis of digital trace data.
• Social and Spatial Inequalities (ENVS357): This module examines social and spatial inequalities, their interrelations, and government responses to these issues in the UK.
• Final Project:
• Dissertation - Geographic Data Science (ENVS492):
This module allows students to independently develop a theme in Geographic Data Science. Students identify a relevant topic, develop it into an academic project, and complete the required research. The dissertation should be of publishable quality.

Assessment:

Assessment methods vary depending on the module but typically include:

• Short reports (~3000 words)
• Computational essays
• Oral presentations
• Computer exercises
• Examinations
• A 12,000-word maximum dissertation

Teaching:

Teaching methods include:

• Lectures
• Seminars
• Hands-on workshops in the computer lab
Modules typically start with a lecture by the module leader, followed by independent research or computer-based exercises. Students may work on assignments individually or in group projects. Presentations and group discussions are used for formative assessment.

Careers:

The program prepares students for careers in:

• Applied geographical information science
• Data science with a geographic focus
• Research with expertise in spatial analysis, GIS, and data science
Potential career paths include:
• GIS/Data Science consultant
• Commercial or public sector roles
• IT consulting
• Teaching in higher education

Other:

• The program is delivered within the Geographic Data Science Laboratory and the Centre for Spatial Demographic Research.
• Students have access to the Consumer Data Research Centre, a facility dedicated to Big Data research.
• The program emphasizes the development of digital fluency, confidence, and global citizenship.
• The program is research-connected, with active learning and authentic assessment methods.
• The program is designed to equip students with the skills needed to succeed in a rapidly evolving job market.

Tuition fees UK fees (applies to Channel Islands, Isle of Man and Republic of Ireland) Full-time place, per year £11,600 Part-time place, per year £5,800 International fees Full-time place, per year £26,400 Part-time place, per year £13,200 Fees stated are for the 2024-25 academic year. Tuition fees cover the cost of your teaching and assessment, operating facilities such as libraries, IT equipment, and access to academic and personal support. You can pay your tuition fees in instalments. All or part of your tuition fees can be funded by external sponsorship. International applicants who accept an offer of a place will need to pay a tuition fee deposit. Additional study costs This could include buying a laptop, books, or stationery. Additional study costs Close This could include buying a laptop, books, or stationery. Scholarships and bursaries We offer a range of scholarships and bursaries that could help pay your tuition and living expenses.