Overview
UCL is renowned for its academic excellence, consistently ranked among the top universities globally, holding the 9th position in the latest QS World University Rankings 2025. This prestigious MSc programme offers students the opportunity to learn from distinguished faculty members who are experts in fields such as data science, geospatial sciences, and machine learning. The university's strong partnerships with industry leaders ensure that students gain valuable insights and experiences, preparing them for successful careers in a rapidly evolving job market. Additionally, UCL's state-of-the-art facilities, including innovative research laboratories, provide an ideal environment for academic and practical learning.
Careers with Spatio-temporal Analytics and Big Data Mining
- Graduates of this programme have successfully secured positions with prestigious employers, including UBS Investment Bank, Panasonic, and Datacup. Many alumni have also pursued research opportunities at renowned institutions such as the University of Cambridge.
- The diverse skill set gained from this MSc prepares graduates for roles in various sectors, including data science, finance, urban planning, and social media analysis, making them highly competitive in the job market. The programme's emphasis on both technical and transferable skills ensures that graduates are well-equipped to meet the demands of their chosen careers.
Programme Structure
Courses include:
- Web and Mobile GIS - Apps and Programming
- Spatial Databases and Data Management
- Sensors and Location
- Urban Simulation
- Mining Social and Geographic Datasets
- Cybercrime
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Data Science & Big Data Machine Learning Data Analytics View 406 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
- A minimum of an upper second-class UK Bachelor's degree in a relevant discipline (such as engineering, mathematics, computer science, environmental science, human or physical geography, geology, forestry, oceanography, or physics) or an overseas qualification of an equivalent standard. Applicants with relevant professional experience are also considered.
- The English language level for this programme is: Level 1
Tuition Fees
-
International Applies to you
Applies to youNon-residents42700 GBP / year≈ 42700 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents21500 GBP / year≈ 21500 GBP / year
Additional Details
Part time:
- UK: £10,750
- International: £21,350
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Spatio-temporal Analytics and Big Data Mining.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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