Degree in Computer Engineering
Bormujos, Spain
DURATION
4 Years
LANGUAGES
Spanish
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2024
TUITION FEES
EUR 751
STUDY FORMAT
On-Campus
Introduction
Degree in Computer Science: the key to unlocking your technological potential
The demand for highly trained professionals in the field of computing has made the Degree in Computer Engineering at the Universidad CEU Fernando III a very attractive option today. Computing is an essential discipline in our society and has transformed the way we interact, work and live.
The Degree in Computer Engineering is valued positively in the work environment due to the growing demand for trained professionals in their field, which is why it has a high employability rate.
Training Objectives
- Training to practice the profession, having a clear awareness of its human, economic, social, legal and ethical dimension.
- Preparation to, throughout your professional career, assume tasks of responsibility in organizations, both technical and managerial, and know how to contribute to information management and knowledge management.
- Have the skills required in the professional practice of engineering: be able to direct projects, communicate clearly and effectively, work in multidisciplinary teams and know how to lead them, learn to adapt to changes and develop autonomously throughout professional life.
- Be able to specify, design, build, implement, verify, audit, evaluate and maintain computer systems that respond to the needs of their potential users.
- Have sufficient basic training to be able to continue national or international Master's and Doctorate studies.
Curriculum
The program requires a total of 240 credits.
Course 1
- Fundamentals of ICT organization
- Physical foundations of computing I
- Introduction to Computer Engineering
- Programming I
- Physical foundations of computing II
- Computer models
- Programming II
- Keys to Contemporary History
- Mathematical Foundations of Computing I
- Mathematical Foundations of Computing II
Course 2
- Statistics
- Computer architecture
- Databases I
- Programming methodology and technology
- Computer networks I
- Artificial intelligence and knowledge engineering
- Machine learning
- Operating systems
- Databases II
- Computer networks II
Course 3
- Neural networks and deep learning
- Information Systems in the Company I
- Software Engineering
- Information Systems Infrastructures
- Massive computing for Big Data
- Bioethics
- Introduction to Christianity
- great books
- Information Systems Administration
- Operational Management of the ICT Company
- Information Systems for Strategic Management
- Programming in distributed environments
- Information Systems in the Company II
- Strategy and Business Policy in ICT Companies
- Natural language processing
Course 4
- Neural networks and deep learning
- Information Systems in the Company I
- Software Engineering
- Information Systems Infrastructures
- Massive computing for Big Data
- Bioethics
- Introduction to Christianity
- great books
- Information Systems Administration
- Operational Management of the ICT Company
- Information Systems for Strategic Management
- Programming in distributed environments
- Information Systems in the Company II
- Strategy and Business Policy in ICT Companies
- Natural language processing
Career Opportunities
Professional outings
- Software and application developer
- Information systems engineer/analyst
- Computer support and maintenance technician
- Project and technology director
- Technology consultant
- Engineer
- Security consultant and administrator
- computer auditor