Official 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: "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), Modelling Workshop (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.

Study plan structure

 

 

Type Credits
Compulsory 18
Optional 30
Master Thesis 12
TOTAL 60

 

Specialisation in Complex Systems Modelling

 

Module Credits Type
Master's Degree Dissertation 12 OB
Optimization 6 OB
Parallel Programming 6 OB
Research and Innovation 6 OB
Applied Stochastic Processes 6 OT*
Deterministic Modelling 6 OT*
Applied Modelling & Simulation 6 OT**
Mathematics and Big Data 6 OT**
Partial Different Equations: Modelling, Analysis and Numerical Approximation 6 OT**
Work Placement 12 OT**

* Specialization Compulsory
** Optional, you must take 18 credits

 

Specialisation in Mathematical Modelling

 

 

Module Credits Type
Master's Degree Dissertation 12 OB
Optimization 6 OB
Parallel Programming 6 OB
Research and Innovation 6 OB
Modelling Workshop 6 OT*
Partial Different Equations: Modelling, Analysis and Numerical Approximation 6 OT*
Applied Modelling & Simulation 6 OT**
Applied Stochastic Processes 6 OT**
Data Visualisation and Modelling 6 OT**
Deterministic Modelling 6 OT**
Distributed Systems 6 OT**
Mathematics and Big Data 6 OT**
Work Placement 12 OT**

* Specialization Compulsory
** Optional, you must take 6 credits in the first half and 12 in the second

 

Specialisation in Modelling for Engineering

 

 

Module Credits Type
Master's Degree Dissertation 12 OB
Optimization 6 OB
Parallel Programming 6 OB
Research and Innovation 6 OB
Applied Modelling & Simulation 6 OT*
Deterministic Modelling 6 OT*
Applied Stochastic Processes 6 OT**
Data Visualisation and Modelling 6 OT**
Distributed Systems 6 OT**
Mathematics and Big Data 6 OT**
Modelling Workshop 6 OT**
Partial Different Equations: Modelling, Analysis and Numerical Approximation 6 OT**
Work Placement 12 OT**

* Specialization Compulsory
** Optional, you must take 6 credits in the first half and 12 in the second

 

Specialisation in Data Science

 

 

Module Credits Type
Master's Degree Dissertation 12 OB
Optimization 6 OB
Parallel Programming 6 OB
Research and Innovation 6 OB
Distributed Systems 6 OT*
Mathematics and Big Data 6 OT*
Applied Modelling & Simulation 6 OT**
Applied Stochastic Processes 6 OT**
Data Visualisation and Modelling 6 OT**
Deterministic Modelling 6 OT**
Modelling Workshop 6 OT**
Partial Different Equations: Modelling, Analysis and Numerical Approximation 6 OT**
Work Placement 12 OT**

* Specialization Compulsory
** Optional, you must take 6 credits in the first half and 12 in the second

 

OB: Compulsory
OT: Optional