MSc Data Science (Applied Urban Analytics)

at University of Manchester

Modules
 

• Statistics and Machine Learning 1: Statistical Foundations
• Statistics & Machine Learning 2: AI, Complex Data, Computationally Intensive Statistics
• Understanding Databases
• Applying Data Science
• Understanding Data and their Environment
• Dissertation
• Programming in Python for Business Analytics
• Land and Development
• Real Estate Investment and Finance
• Advanced Real Estate Finance

• High 2:1 honours degree (or overseas equivalent)
• Standard XII English from the Central Board of Secondary Education, Indian Certificate of Secondary Education or West Bengal board with a score of 85% or above is accepted to meet the English Language Requirements. Standard XII from a State Board will be considered on a case-by-case basis.

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 for UK Students per year:
£15,500

Tuition Fees for Overseas Students per year:
£31,000

The global demand for data scientist talent continues to grow; as a result, our course qualification will provide a strong boost to your employability.