| Program start date | Application deadline |
| 2023-09-01 | - |
Program Overview
The Geospatial Data Science PhD program focuses on research in geostatistics, geospatial data quality, and new forms of geospatial data. The program aims to provide students with the skills and knowledge to conduct innovative research, apply geospatial data science techniques to real-world problems, and contribute to the advancement of the field. Graduates of the program have gone on to successful careers in academia, government, industry, and non-profit organizations.
Program Outline
Outline:
Overview:
The Geospatial Data Science PhD program focuses on research in areas related to:
- Geostatistics
- Geospatial data quality
- New forms of geospatial data (e.g., crowdsourced data)
Objectives:
The program aims to provide students with the skills and knowledge to:
- Conduct innovative research in geospatial data science
- Apply geospatial data science techniques to real-world problems
- Contribute to the advancement of the field
Structure:
The program is a full-time, 3-4 year program for full-time students and 6-8 years for part-time students. It consists of both coursework and research components.
Coursework:
The program's coursework includes modules on:
- Geospatial analysis
- Big data analytics
- Machine learning
- Spatial statistics
- Data visualization
- Programming (e.g., Python)
Research:
Teaching:
Teaching methods:
The program uses a variety of teaching methods, including:
- Lectures
- Seminars
- Workshops
- Practical exercises
- Fieldwork
Faculty:
- A strong focus on hands-on learning
- Opportunities for collaborative research with faculty and other students
- Access to state-of-the-art facilities
Careers:
Career paths:
Graduates of the program have gone on to careers in a variety of fields, including:
- Academia
- Government
- Industry
- Non-profit organizations
Career opportunities:
Graduates of the program are well-prepared for a variety of career opportunities, including:
- Research scientist
- Data analyst
- Geospatial consultant
- Urban planner
Outcomes:
Graduates of the program have a strong track record of success in their chosen careers. Many have gone on to publish their research in leading journals, secure prestigious jobs, and make significant contributions to the field of geospatial data science.
Other:
Research projects:
The School of Geographical and Earth Sciences offers a variety of research projects for students in the Geospatial Data Science PhD program. These projects cover a wide range of topics, including:
- Developing methods to improve the quality of geospatial data
- Using geospatial data to understand urban environments
- Modeling the movement of people in cities
- Applying geospatial data science to solve real-world problems
Support:
The program provides a high level of support to its students. This support includes:
- Academic advising
- Career counseling
- Financial assistance
- Networking opportunities
- Personal and professional development opportunities
International students:
The program welcomes international students from all over the world. The program provides a variety of support services to international students, including:
- English language support
- Visa assistance
- Cultural adjustment programs
Entry Requirements:
Academic Qualifications:
- Applicants must hold a Bachelor's degree (Honours) with a minimum of a 2:1 (or equivalent) in a relevant subject.
- Applicants with a 2:2 may be considered if they have relevant experience in geospatial data science.
- Applicants with professional qualifications may also be considered, depending on the level and nature of their qualifications and experience.
English Language Proficiency:
Tests must have been taken within 2 years 5 months of start date. Applicants must meet the overall and subtest requirements using a single test. IELTS One Skill Retake accepted.
- TOEFL (ibt, my best or athome): 79; with Reading 13; Listening 12; Speaking 18; Writing 21. Tests must have been taken within 2 years 5 months of start date. Applicants must meet the overall and subtest requirements, this includes TOEFL mybest.
- Pearsons PTE Academic: 59 with minimum 59 in all subtests. Tests must have been taken within 2 years 5 months of start date. Applicants must meet the overall and subtest requirements using a single test.
- Cambridge Proficiency in English (CPE) and Cambridge Advanced English (CAE): 176 overall, no subtest less than 169. Tests must have been taken within 2 years 5 months of start date. Applicants must meet the overall and subtest requirements using a single test.
- Oxford English Test: Oxford ELLT 7. R&L: OIDI level no less than 6 with Reading: 21-24 Listening: 15-17. W&S: OIDI level no less than 6.
- Trinity College Tests: Integrated Skills in English II & III & IV: ISEII Distinction with Distinction in all sub-tests.
Alternatives to English Language qualification:
- Degree from majority-English speaking country (as defined by the UKVI including Canada if taught in English): students must have studied for a minimum of 2 years at Undergraduate level, or 9 months at Master's level, and must have complete their degree in that majority-English speaking country and within the last 6 years.
- Undergraduate 2+2 degree from majority-English speaking country (as defined by the UKVI including Canada if taught in English): students must have completed their final two years study in that majority-English speaking country and within the last 6 years.
- The University of Glasgow accepts evidence of the required language level from the English for Academic Study Unit Pre-sessional courses.
- The University also considers other BALEAP accredited pre-sessional courses.
