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

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Study guides

Master description

The master's degree is made up of four specialisations: "Modelling for Science", "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

  Compulsory Optional Final Project
First Year 18 30 12
Totals 18 30 12

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 (1) (2) (3) (4)
  • 42257 - Master's Degree Dissertation
  

Optional subjects

From First Year
  • 45560 - From Microscopic to Macroscopic Modelling (2) (3) (4)
  • 45561 - Partial Differential Equations: Modelling, Analysis and Numerical Approximation (1) (3) (4)
  • 45562 - Mathematics for Big Data (1) (2) (3)
  • 43480 - Applied Modelling & Simulation (1) (2) (4)
  • 45559 - Dynamical Systems and Complexity (2) (3) (4)
  • 44212 - Distributed Systems (2) (3)
  • 42255 - Modelling Workshop (3) (4)
  • 43482 - Data Visualisation and Modelling (2) (4)

Specializations

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

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