Overview
The MSc in Data Science (Applied Urban Analytics) at The University of Manchester is a cutting-edge programme that responds to the growing demand for skilled data professionals. Ranked among the top 10 universities in the UK for mathematics, statistics, and computer science by Times Higher Education World University Rankings 2025, Manchester is renowned for its academic excellence and innovative research. The university's interdisciplinary approach allows students to gain insights from various fields, including urban planning, policy, and data science, making it a unique educational experience.
This master’s course prepares students for a successful career in data science, which is increasingly vital across multiple industries such as healthcare, finance, and urban development. The programme focuses on practical skills, allowing students to analyse real-world data using statistical software like R, Python, and Excel. With a curriculum designed to foster analytical thinking and problem-solving capabilities, graduates emerge as agile data scientists ready to tackle complex challenges.
Students will benefit from hands-on experience and a curriculum that includes a mix of mandatory and optional units. The core modules cover essential topics such as Machine Learning, Statistics, and Understanding Databases, while optional units allow for exploration in areas like property valuation and urban planning. This flexibility ensures that students can tailor their education to align with their career aspirations.
The course also provides a pathway for those interested in further academic study, offering a fully-funded 1+3 PhD route through the Economic and Social Research Council (ESRC) North West Social Sciences Doctoral Training Partnership. This unique opportunity allows students to transition seamlessly from master's to doctoral research, enhancing their academic credentials and career prospects.
Furthermore, The University of Manchester is highly regarded by top employers, as highlighted in the High Fliers Graduate Market Report 2024. The university's dedicated Careers Service offers extensive support, including tailored career advice, practice interviews, and networking opportunities, ensuring that students are well-prepared for the job market upon graduation.
Tuition Fee Breakdown
The tuition fees for the MSc in Data Science (Applied Urban Analytics) are as follows:
- International Students: £33,500 per year
- UK Students: £16,500 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The programme comprises a combination of mandatory and optional course units, which include:
- Machine Learning and Statistics (both semesters)
- Understanding Databases
- Understanding Data and their Environment
- Applications in Data Science
- Optional units such as Property Valuation, Digital Planning, and more
Students will also complete a 12,000 to 15,000-word dissertation, supported by research methodology lectures to enhance their academic skills.
Careers with Data Science (Applied Urban Analytics)
Graduates of this programme are well-equipped for various roles, including data scientists, civil servants, and consultants. They find opportunities in sectors such as banking, urban planning, and the IT industry. The university's strong connections with employers provide students with a competitive edge in the job market, ensuring they are prepared to meet the demands of their chosen fields.
Programme Structure
Courses include:
- Programming in Python for Business Analytics
- Land and Development
- Real Estate Investment and Finance
- Advanced Real Estate Finance
- Property Valuation
- Applied Spatial Analysis for Planning
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Manchester, United Kingdom
Disciplines
Data Science & Big Data Urban Planning Data Analytics View 408 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
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Other requirements
General requirements
- High 2:1 honours degree (or overseas equivalent)
For this pathway, we would expect applicants to evidence an interest and/or experience in topics related to urban analysis. Examples are:
- Working experience in urban-themed topics (e.g. data analyses for spatial phenomena, public policies or real estate market analysis)
- Experience in working in spatial or GIS-based data analysis
- Evidence of training in urban-themed methods or topics (e.g. GIS).
In your application, you should demonstrate aptitude, knowledge and/or interest in three areas:
- data analytics and/or statistics;
- computational subjects; and
- pathway specific requirements.
Tuition Fees
-
International Applies to you
Applies to youNon-residents33500 GBP / year≈ 33500 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents16500 GBP / year≈ 16500 GBP / year
Living costs
Manchester
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 Data Science (Applied Urban Analytics).
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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