TITLE DESCRIPTION

 

Title Name

 

Masters in Mathematics

 

Admission Criteria:

 

Mathematics, Physics and Statistics graduates and higher engineers from any branch may apply for pre-enrolment. 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 pre-enrolment 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

In-depth Mathematics and its Applications (AMA)

Algebra and Geometry In-Depth

5

ELECTIVE

Mathematical Analysis In-Depth

5

ELECTIVE

Discrete Mathematics In-Depth

5

ELECTIVE

Probabilities and Statistics In-Depth

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 (October-February)

Algebra and Geometry In-Depth

Mathematical Analysis In-Depth

Discrete Mathematics In-Depth

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 (March-July)

Probabilities and Statistics In-Depth

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