TITLE DESCRIPTION
Title Name
Masters in Mathematics
Admission Criteria:
Mathematics, Physics and Statistics graduates and higher engineers from any branch may apply for preenrolment. Graduate from any other scientific discipline, architects, engineers and surveyors, as well as diploma graduates in any scientific or technology discipline may also access the Masters where they have taken 180 degree credits, in accordance with what is set out in the requisites in article 3.1 in Royal Decree 56/2005 and accredit knowledge in the following material at the level of the corresponding core Mathematics degree subjects.
· Linear Algebra
· Ordinary Differential Equations
· Single or Several Variables Analysis
· Differential Geometry of Curves and Surfaces
· Numerical Analysis
· Statistics
The Admission Committee, comprising members of the Masters Studies Committee and the head of administrative services in the Anselm Turmeda building, will study and assess preenrolment from those not having studied Mathematics, Physics or Statistics or higher engineers.
Academic and Professional Objectives
This title has three aims:
Access to Other Studies
Doctorate
Study Structure: 60 Credits per Academic year
Module 
Material 
ECTS Credits 
Type 
Indepth Mathematics and its Applications (AMA) 
Algebra and Geometry InDepth 
5 
ELECTIVE 
Mathematical Analysis InDepth 
5 
ELECTIVE 

Discrete Mathematics InDepth 
5 
ELECTIVE 

Probabilities and Statistics InDepth 
5 
ELECTIVE 

IT in Mathematics (TIM) 
Software Use and Development in Mathematics Teaching 
5 
ELECTIVE 
Scientific Software Use and Development 
5 
ELECTIVE 

Open Software Systems 
5 
ELECTIVE 

Mathematical Models (MM) 
Advanced Mathematical Modelling 
5 
ELECTIVE 
Mathematical Model Applications in Experimental Sciences 
5 
ELECTIVE 

Mathematic Model Applications in Daily Life and the Social Sciences 
5 
ELECTIVE 

An Introduction to Research (INR) 
Research and Scientific Communication Techniques 
5 
ELECTIVE 
An Introduction to Computational Biology 
5 
ELECTIVE 

An Introduction to Mathematical Processing of Fuzzy Information 
5 
ELECTIVE 

An Introduction to Research into Dynamic Systems and Digital Image Analysis 
5 
ELECTIVE 

Final Masters Project (TFM) 

15 
OBL 
Curricular Structure: The masters has three schedules matching the three profiles. Students must follow one of the three profiles.
Academic Profile: Students must take 20 AMA module credits, 15 MM module credits, 15 TFM credits and 10 credits to be chosen from amongst the remainders.
Professional Profile: Students must take 10 AMA module credits, 25 MM and TIM module credits, 15 TFM credits and 10 credits to be chosen from amongst the remainders.
Research Profile: Students must take the ‘Research and Scientific Communication Techniques’, 10 more INR module credits, 10 AMA module credits, 15 TFM credits and 20 credits to be chosen from amongst the remainders.
Final Examination
None
Evaluation Criteria and Examinations
See the file for each subject
ECTS Coordinating Lecturer
Jaume Casasnovas Casasnovas
Schedule
Subject Distribution per Quarter Term:
Autumn Term (OctoberFebruary)
Algebra and Geometry InDepth
Mathematical Analysis InDepth
Discrete Mathematics InDepth
Scientific Software Use and Development
Research and Scientific Communication Techniques
An Introduction to Computational Biology
An Introduction to Mathematical Processing of Fuzzy Information
An Introduction to Research into Dynamic Systems and Digital Image Analysis
Spring Term (MarchJuly)
Probabilities and Statistics InDepth
Software Use and Development in Mathematics Teaching
Mathematic Model Applications in Daily Life and the Social Sciences
Open Software Systems
Advanced Mathematical Modelling
Mathematical Model Applications in Experimental Sciences
The detailed schedule will be published opportunely