University master's degrees
University Master's Degree in Modelling for Science and Engineering

Provide you with the mathematical and computational skills needed to analyse processes by constructing problem-solving models in meteorology, data analysis, biomedicine, neuroscience, etc.

Official Master's Degree in Modelling for Science and Engineering

Study guides

Master description

The master's degree is made up of four specialisations: "Complex Systems Modelling", "Mathematical Modelling", "Modelling for Engineering" and "Data Science".

The master's degree consists of 60 ECTS credits. All students must enrol in the modules Research and Innovation (6 ECTS), Optimization (6 ECTS), Parallel Programming (6 ECTS) and the Master Thesis (12 ECTS).

Each of the master's degree specialisations consists of:

 

  • 18 compulsory credits (common to all specialisations)
  • 12 compulsory Master Thesis credits (common to all specialisations)
  • 12 compulsory specialisation credits
  • 18 optional credits

Students must declare on their enrolment sheet the specialisation they are interested in enrolling in. The master's degree coordinator cannot authorise a student's enrolment until the student has specified his/her specialisation.

Specific validations for the master's degree in Modelling for Science and Engineering:

Students may validate up to a maximum of 12 credit belonging to modules from the master's degree in Advanced Mathematics offered by the University of Barcelona and from the master's degree in Advanced Mathematics and Mathematical Engineering offered by the Universitat Politècnica de Catalunya.

 

Teaching timetable

Official Màsters' Timetable

Study plan structure

Table of credits for each course

 
First Year
Totals

Specializations

  • Specialisation in Mathematical Modelling
  • Specialisation in Modelling for Engineering
  • Specialisation in Modelling for Science
  • Specialisation in Data Science

Basic and compulsory training

First Year  
First semester
  • 42250 - Optimisation
  • 43481 - Parallel Programming
  • 43475 - Research and Innovation
Second Semester
  • 44536 - Work Placement
  • 42257 - Master's Degree Dissertation
  

Optional subjects

From First Year
  • 45560 - From Microscopic to Macroscopic Modelling
  • 45561 - Partial Differential Equations: Modelling, Analysis and Numerical Approximation
  • 45562 - Mathematics for Big Data
  • 43480 - Applied Modelling & Simulation
  • 45559 - Dynamical Systems and Complexity
  • 44212 - Distributed Systems
  • 42255 - Modelling Workshop
  • 43482 - Data Visualisation and Modelling

Specializations

Specialisation in Modelling for Engineering Specialisation in Data Science
  • 43480 - Applied Modelling & Simulation
  • 43482 - Data Visualisation and Modelling

you must take 0.0 credits of the following subjects:

  • 45560 - From Microscopic to Macroscopic Modelling
  • 45561 - Partial Differential Equations: Modelling, Analysis and Numerical Approximation
  • 45562 - Mathematics for Big Data
  • 44536 - Work Placement ( 12 credits )
  • 45559 - Dynamical Systems and Complexity
  • 44212 - Distributed Systems
  • 42255 - Modelling Workshop
  • 45562 Mathematics for Big Data
  • 44212 Distributed Systems

you must take 0.0 credits of the following subjects:

  • 45560 From Microscopic to Macroscopic Modelling
  • 45561 Partial Differential Equations: Modelling, Analysis and Numerical Approximation
  • 43480 Applied Modelling & Simulation
  • 44536 Work Placement ( 12 credits )
  • 45559 Dynamical Systems and Complexity
  • 42255 Modelling Workshop
  • 43482 Data Visualisation and Modelling
Specialisation in Mathematical Modelling Specialisation in Modelling for Science
  • 45561 - Partial Differential Equations: Modelling, Analysis and Numerical Approximation
  • 42255 - Modelling Workshop

you must take 0.0 credits of the following subjects:

  • 45560 - From Microscopic to Macroscopic Modelling
  • 45562 - Mathematics for Big Data
  • 43480 - Applied Modelling & Simulation
  • 44536 - Work Placement ( 12 credits )
  • 45559 - Dynamical Systems and Complexity
  • 44212 - Distributed Systems
  • 43482 - Data Visualisation and Modelling
  • 45560 From Microscopic to Macroscopic Modelling
  • 45559 Dynamical Systems and Complexity

you must take 0.0 credits of the following subjects:

  • 45561 Partial Differential Equations: Modelling, Analysis and Numerical Approximation
  • 45562 Mathematics for Big Data
  • 43480 Applied Modelling & Simulation
  • 44536 Work Placement ( 12 credits )

All subjects are worth 6 credits unless otherwise stated.
All optional subjects are not scheduled each year.