Degree in Mathematics
Entry Profile
Students wishing to take the Degree in Mathematics are recommended to have passed their secondary school diploma in maths and particularly, Advanced Mathematics. The ideal criteria to successfully complete this degree are:
 Being willing to learn and the ability for hard work and perseverance.
 A curiosity to understand the reasons behind things.
 Appreciating precision and rigour in formulating ideas and problems.
 Not being afraid of abstract thought.
 Having an appreciation for mathematics.
Students wanting to take this programme should understand that mathematics is not (only) calculations with numbers and equations that they have done at high school, but actually goes beyond this, seeking out essential rules and unpinning structures through the process of abstraction, governed by precision and logic in reasoning. Students should have an awareness that mathematics is not an end in itself, but rather has many applications.
Entry information
Course entry methods
Course entry methods  Preferences 

Students who have passed a university entrance examination
(1)
Higher vocational graduates (2) 
(3) Weighted subjects in the voluntary stage.
Academic year
201920:

Those who have passed the over25s entrance examination  Engineering and Architecture 
University graduates  
Over40s who have accredited professional or work experience  
Those who have passed the over45s entrance examination  
University programmes started at another UIB campus  
Specific students who have a highschool diploma without the PAU  
Official Spanish university studies already begun  
Overseas university studies already begun or finished without being officially accredited 
Cutoff markNotas de corte
Useful information
 Preregistration information activities and advice
 Entry and admission: Entry and admission procedure information (preenrolment and registration)
 Registration: Registration information
Validations
Credit Recognition and Transfer Committee for GMA2
Accreditation grid for first and second cycle curricula and new curricula (degree)
Table of equivalences by curriculum Degree in Mathematics
Degree in Mathematics (2009)
Degree in Mathematics (2009)  Degree in Mathematics 

20102: Chemistry 
20102: Chemistry 
20103: Biology 
20103: Biology 
20106: Geology 
20106: Geology 
20111: Genetics 
20111: Genetics 


20310: Functional Series and Integral Calculus in a Variable 
20577: Mathematical Analysis III 
20311: Linear Algebra II 
20311: Linear Algebra II 
20312: Differential Calculus with Diverse Variables 
20312: Differential Calculus with Diverse Variables 
20313: Topology 
20313: Topology 
20314: Introduction to Modelling 
20578: Mathematical Models of Technology 
20315: Abstract Algebra I 
20315: Abstract Algebra I 
20316: Numerical Methods I 
20316: Numerical Methods I 
20317: Integral Calculus with Diverse Variables 
20317: Integral Calculus with Diverse Variables 
20318: Affine and Metric Geometry 
20318: Affine and Metric Geometry 
20319: English 
20395: English for Engineering 
20320: Probability II 
20579: Probability 
20321: Ordinary Differential Equations 
20321: Ordinary Differential Equations 
20322: Differential Geometry 
20322: Differential Geometry 
20323: Discrete Algorithms 
20580: Algorithmics 
20324: Abstract Algebra II 
20324: Abstract Algebra II 
20325: Mathematical Models I 
20583: Mathematical Models of Physics 
20326: Statistical Inference 
20581: Statistics 
20327: Equations in Partial Derivatives 
20327: Equations in Partial Derivatives 
20328: Complex Variable Functions 
20328: Complex Variable Functions 
20329: Introduction to Optimisation 
20329: Introduction to Optimisation 
20330: Mathematical Models II 
20582: Analysis of Data 
20331: Geometry and Topology of Varieties 
20331: Geometry and Topology of Varieties 
20332: Numerical Methods II 
20332: Numerical Methods II 
20333: History of Mathematics 
20333: History of Mathematics 
20342: Teaching the Mathematics 
20342: Teaching the Mathematics 
21703: Digital Systems 
21703: Digital Systems 
21708: Operational Systems 
21708: Operational Systems 
21714: Computer Graphics 
21714: Computer Graphics 
21721: Programming Languages 
21721: Programming Languages 
21722: Artificial Intelligence 
21722: Artificial Intelligence 
21752: Foundations of Physics 
21752: Foundations of Physics 
21756: Introduction to Electronics 
21756: Introduction to Electronics 
21767: Foundations and Applications of Digital Signal Processing 
21767: Foundations and Applications of Digital Signal Processing 
21770: Data Transmission 
21770: Data Transmission 
21775: Practical Placements 

Academic Accreditation Committee
Regulatory Agreement 10714/2013, whereby the regulations for awarding academic accreditation for participation in university cultural, sports, student representation, solidarity and cooperation activities are approved.