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

Compulsory training

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

Specializations

It is mandatory to take one of the specializations of the master's program

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

( 1 )

To pursue the Specialization in Modelling for Science, 18 credits from this elective course offering must be completed


( 2 )

To pursue the Specialization in Mathematical Modelling, 18 credits from this elective course offering must be completed


( 3 )

To pursue the Specialization in Modelling for Engineering, 18 credits from this elective course offering must be completed 


( 4 )

To pursue the Specialization in Data Science, 18 credits from this elective course offering must be completed

Optional subjects

  • 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)
  • 44536 - Work Placement ( 12 credits ) (1) (2) (3) (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)

 

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