Degree in Data Science and Engineering

2025/2026 · 240 credits

Computer and Systems Engineering

What you learn

Professional and academic career

Planning for teaching

Study structure

The degrees are organized by courses. Click on a academic year for more information.

  Guide Type QTR. credits
Discrete Mathematics Core 1st 6 ECTS
Probability and Basic Statistics Core 1st 6 ECTS
Fundamentals of Programming I Core 1st 6 ECTS
Fundamentals of Computers Core 1st 6 ECTS
Internet: Networks and Data Core 1st 6 ECTS
Linear Algebra Core 2nd 6 ECTS
Multivariable Calculus Core 2nd 6 ECTS
Statistical Inference Core 2nd 6 ECTS
Introduction to Databases Core 2nd 6 ECTS
Fundamentals of Programming II Core 2nd 6 ECTS
  Guide Type QTR. credits
Design and Analysis of Algorithms Compulsory 1st 6 ECTS
Regression Models Compulsory 1st 6 ECTS
Statistical Modeling of High Dimensional Data Compulsory 1st 6 ECTS
Signals and Systems Compulsory 1st 6 ECTS
High Performance Computing Infrastructures Compulsory 1st 6 ECTS
Database Modeling Compulsory 2nd 6 ECTS
Data Protection, Privacy and Security Compulsory 2nd 6 ECTS
Information Theory Compulsory 2nd 6 ECTS
Machine Learning I Compulsory 2nd 6 ECTS
Mathematical Optimisation Compulsory 2nd 6 ECTS
  Guide Type QTR. credits
Machine Learning II Compulsory 1st 6 ECTS
Statistical Analysis of Dependent Data Compulsory 1st 6 ECTS
Parallel Processing Compulsory 1st 6 ECTS
Data Engineering Project Management Compulsory 1st 6 ECTS
Analytic Databases Compulsory 1st 6 ECTS
Machine Learning III Compulsory 2nd 6 ECTS
Information Retrieval Compulsory 2nd 6 ECTS
Image, Video and Audio Processing Compulsory 2nd 6 ECTS
Written Language Processing Compulsory 2nd 6 ECTS
Integration Technologies Compulsory 2nd 6 ECTS
  Guide Type QTR. credits
Statistical Analysis of Complex Data Optional 1st 6 ECTS
Large Scale Machine Learning Optional 1st 6 ECTS
Numerical Methods for Data Science Optional 1st 6 ECTS
Advanced Parallel Processing Optional 1st 6 ECTS
Spatiotemporal Data Representation and Management Optional 1st 6 ECTS
Simulation and Resampling Techniques Optional 1st 6 ECTS
Business and Entrepreneurship Compulsory 1st 6 ECTS
Work Placement Compulsory 1st 6 ECTS
Audiovisual Data Analysis and Interpretation Optional 2nd 6 ECTS
Data Mobility Optional 2nd 6 ECTS
Data Management in Intelligent Scenarios Optional 2nd 6 ECTS
Omics Data Management and Modeling Optional 2nd 6 ECTS
Natural Language Processing and Text Mining Optional 2nd 6 ECTS
Recommender Systems Optional 2nd 6 ECTS
Final Year Dissertation Compulsory 2nd 12 ECTS

 BOE with syllabus (PDF)

Teachers

The study is taught by teachers from the departments of: Business, Computer Engineering, Computer Science and Information Technologies, Economics and Mathematics

The degrees are organized by courses. Click on a academic year for more information.

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.