Master Applied Data Analytics (Full-time) - Máster en Análisis de Datos
This course draws on cutting edge expertise from three departments in our College of Science and Engineering, and will provide you with practical skills in computation in a range of languages and professional software. You will also develop a clear understanding of the theory of common numerical modelling methods.
The information included on this webpage is indicative of the courses provided by the University of Leicester. Due to regular enhancement of the University’s courses, please refer to Leicester’s own website and Terms and Conditions for the most accurate and up-to-date course information. We recommend that you familiarise yourself with this information before submitting an application.
At least a 2:2 degree (or international equivalent) in Maths, Physics or Engineering.
English Language Requirements: IELTS 6.0 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.
Plus either Computational Methods for Partial Differential Equations or Finite Element Methods: Theory and Application
Plus your Individual Project (completed over the summer)
Choose two option modules from:
Topics in Mathematical Biology
Equations in Mathematical Physics
Methods in Mathematical Physics
Advanced Fluid Dynamics
Advanced Solid Mechanics
Plus three option modules from:
Data Mining and Neural Networks
Applications in Theoretical Physics
Computational Fluid Dynamics
Dynamics of Mechanical Systems
Design of Discrete Systems
Real-Time Signal Processing
Particle Methods in Scientific Computing
The top students on the course will have the opportunity, when choosing a project topic, to select a project offered by one of our industrial partners.