Overview
Course description
The range of pathways reflects the interdisciplinary nature of the Data Science (Applied Urban Analytics) programme at The University of Manchester and we welcome applications from students with backgrounds in a range of disciplines, including:
- business and management;
- health science;
- social sciences;
- geography;
- planning;
- computer science;
- mathematics.
We provide training in core data science skills, embedded in a disciplinary context provided by the pathway, you will develop:
- computational skills;
- data analytical skills;
- data stewardship skills and knowledge;
- project design skills.
Aims
This innovative MSc in Data Science course is an opportunity for graduates from a broad range of disciplines to develop data science skills.
Our goal is to help you develop into an agile, skilled data scientist, adept at working in a variety of settings and be able to meet the challenges of interdisciplinary team work.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
Disciplines
Data Science & Big Data Urban Planning Data Analytics View 121 other Masters in Urban Planning 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.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at The University of Manchester and/or in United Kingdom, please visit Student Insurance Portal.
Tuition Fee
-
International
33500 GBP/yearTuition FeeBased on the tuition of 33500 GBP per year during 12 months. -
National
16500 GBP/yearTuition FeeBased on the tuition of 16500 GBP per year during 12 months.
Living costs for Manchester
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
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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