This study has teaching guide
You can read it to learn more about the study. In the table below you can see the individual teaching guides for each subject.
Study structure
The degrees are organized by courses. Click on a academic year for more information.
| |
Guide |
Type |
QTR. |
credits |
|
Linear Algebra
|
|
Basic Training |
Second Quadmester |
6.0 ECTS |
|
Discrete Mathematics
|
|
Basic Training |
First Quadmester |
6.0 ECTS |
|
Probability and Basic Statistics
|
|
Basic Training |
First Quadmester |
6.0 ECTS |
|
Fundamentals of Programming I
|
|
Basic Training |
First Quadmester |
6.0 ECTS |
|
Fundamentals of Computers
|
|
Basic Training |
First Quadmester |
6.0 ECTS |
|
Multivariable Calculus
|
|
Basic Training |
Second Quadmester |
6.0 ECTS |
|
Statistical Inference
|
|
Basic Training |
Second Quadmester |
6.0 ECTS |
|
Introduction to Databases
|
|
Basic Training |
Second Quadmester |
6.0 ECTS |
|
Fundamentals of Programming II
|
|
Basic Training |
Second Quadmester |
6.0 ECTS |
|
Internet: Networks and Data
|
|
Basic Training |
First Quadmester |
6.0 ECTS |
| |
Guide |
Type |
QTR. |
credits |
|
Design and Analysis of Algorithms
|
|
Compulsory |
First Quadmester |
6.0 ECTS |
|
Regression Models
|
|
Compulsory |
First Quadmester |
6.0 ECTS |
|
Statistical Modeling of High Dimensional Data
|
|
Compulsory |
First Quadmester |
6.0 ECTS |
|
Signals and Systems
|
|
Compulsory |
First Quadmester |
6.0 ECTS |
|
High Performance Computing Infrastructures
|
|
Compulsory |
First Quadmester |
6.0 ECTS |
|
Database Modeling
|
|
Compulsory |
Second Quadmester |
6.0 ECTS |
|
Data Protection, Privacy and Security
|
|
Compulsory |
Second Quadmester |
6.0 ECTS |
|
Information Theory
|
|
Compulsory |
Second Quadmester |
6.0 ECTS |
|
Machine Learning I
|
|
Compulsory |
Second Quadmester |
6.0 ECTS |
|
Mathematical Optimisation
|
|
Compulsory |
Second Quadmester |
6.0 ECTS |
| |
Guide |
Type |
QTR. |
credits |
|
Machine Learning II
|
|
Compulsory |
First Quadmester |
6.0 ECTS |
|
Statistical Analysis of Dependent Data
|
|
Compulsory |
First Quadmester |
6.0 ECTS |
|
Parallel Processing
|
|
Compulsory |
First Quadmester |
6.0 ECTS |
|
Data Engineering Project Management
|
|
Compulsory |
First Quadmester |
6.0 ECTS |
|
Analytic Databases
|
|
Compulsory |
First Quadmester |
6.0 ECTS |
|
Machine Learning III
|
|
Compulsory |
Second Quadmester |
6.0 ECTS |
|
Information Retrieval
|
|
Compulsory |
Second Quadmester |
6.0 ECTS |
|
Image, Video and Audio Processing
|
|
Compulsory |
Second Quadmester |
6.0 ECTS |
|
Written Language Processing
|
|
Compulsory |
Second Quadmester |
6.0 ECTS |
|
Integration Technologies
|
|
Compulsory |
Second Quadmester |
6.0 ECTS |
| |
Guide |
Type |
QTR. |
credits |
|
Large Scale Machine Learning
|
|
Elective |
First Quadmester |
6.0 ECTS |
|
Numerical Methods for Data Science
|
|
Elective |
First Quadmester |
6.0 ECTS |
|
Advanced Parallel Processing
|
|
Elective |
First Quadmester |
6.0 ECTS |
|
Spatiotemporal Data Representation and Management
|
|
Elective |
First Quadmester |
6.0 ECTS |
|
Simulation and Resampling Techniques
|
|
Elective |
First Quadmester |
6.0 ECTS |
|
Business and Entrepreneurship
|
|
Compulsory |
First Quadmester |
6.0 ECTS |
|
Work Placement
|
|
Work Placement |
First Quadmester |
6.0 ECTS |
|
Audiovisual Data Analysis and Interpretation
|
|
Elective |
Second Quadmester |
6.0 ECTS |
|
Data Mobility
|
|
Elective |
Second Quadmester |
6.0 ECTS |
|
Data Management in Intelligent Scenarios
|
|
Elective |
Second Quadmester |
6.0 ECTS |
|
Omics Data Management and Modeling
|
|
Elective |
Second Quadmester |
6.0 ECTS |
|
Natural Language Processing and Text Mining
|
|
Elective |
Second Quadmester |
6.0 ECTS |
|
Recommender Systems
|
|
Elective |
Second Quadmester |
6.0 ECTS |
|
Final Year Dissertation
|
|
Final Year Dissertation |
Second Quadmester |
12.0 ECTS |
|
Statistical Analysis of Complex Data
|
|
Elective |
First Quadmester |
6.0 ECTS |
BOE with syllabus (PDF)
Student mobility
UDC holds student mobility agreements with universities and other third-level institutions across four continents. Students are offered several opportunities each year to apply to study abroad in one of these centres (for a single term or for a whole year), with the guarantee that all credits obtained will be duly recognised in their academic record upon their return.
For each round of applications, the University publishes the list of exchange options available to students and, where relevant, the specific conditions associated with each. Students may also apply to the University for funding for international work experience placements and internships.
Work experience placements are accredited in the student's academic record and the European diploma supplement. Students are free to decide in which host company or academic institution within the EHEA they wish to carry out their placement. To assist them in their search, the University has created an online noticeboard with jobs postings and other news.
Work-study placements in A Coruña are arranged by the International Relations Office (ORI) of the UDC in collaboration with the international relations coordinators in the student’s home university. The general entry criteria, rights and obligations of students, and admission and acceptance procedures for the programme, are regulated by the UDC Mobility Policy.
Particular centre actions
Dado el interés y actualidad de los contenidos del plan de estudios propuesto para este grado, consideramos que la participación en programas de movilidad es una opción de gran utilidad para la formación de los futuros alumnos. Actualmente, la Facultad de Informática de la Universidad de A Coruña tiene convenios activos con más de 50 Universidades de todo el mundo.