Master's degree in Machine Learning and Cybersecurity for Internet-Connected Systems

Manresa School of Engineering (EPSEM)

The master’s degree in Machine Learning and Cybersecurity for Internet-Connected System (master's degree website) aims to provide advanced and specialised scientific and technological training in artificial intelligence and cybersecurity, with an emphasis on their application in internet-connected systems, including computer systems of differing degrees of complexity in general and Internet of Things systems in particular. The aim is thus to cover the current shortage of professionals who have this kind of training, which is highly valued in industry and in research in ICT technologies.

This master's degree is organised within the framework of the European MERIT project, through the funding of the Digital Europe programme, in collaboration with three European universities, SMEs, digital innovation hubs and research centres. The European project provides funding such as student grants.

General details

Duration and start date: 1.5 academic years, 90 ECTS credits
Timetable and delivery: Face-to-face
Fees and grants: Approximate fees for the master’s degree, excluding other costs (does not include non-teaching academic fees and issuing of the degree certificate):
€2,490 (€9,496 for non-EU residents).
More information about fees and payment options
More information about grants and loans
Language of instruction: English
Information on language use in the classroom and students’ language rights.
Location: Manresa School of Engineering
Official degree: Recorded in the Ministry of Education's degree register

Admission

General requirements

Academic requirements for admission to master's degrees

Specific requirements

Candidates in possession of one of the following bachelor's degrees (or equivalent) are granted admission to the master's degree without having to take bridging courses:

Bachelor’s degree in ICT Systems Engineering
Bachelor's degree in Informatics Engineering
Bachelor’s degree in Data Science and Engineering
Bachelor’s degree in Telecommunications Systems Engineering
Bachelor’s degree in Telecommunications Technologies and Services Engineering
Bachelor’s degree in Network Engineering

Candidates in possession of one of the following bachelor's degrees (or equivalent) are granted admission to the master's degree once they have taken the bridging courses set by the master's degree committee, which will not exceed 18 ECTS credits:

Bachelor's degree in Industrial Electronics and Automatic Control Engineering
Bachelor's degree in Industrial Technology Engineering
Bachelor’s degree in Electrical Engineering

Admission of candidates with degrees other than the above must be established by the master's degree committee.

Places

Pre-enrolment

Pre-enrolment period open.
Expected deadline: 01/07/2025.
How to pre-enrol

Enrolment

How to enrol

Legalisation of foreign documents

All documents issued in non-EU countries must be legalised and bear the corresponding apostille.

Curriculum

First semester

Second semester

Advanced Cryptography 3
Advanced Deep Learning Modes 3
Cyberphysical Systems 3
Cybersecurity of Industrial Control Systems 3
Introduction to High Performance Computing 3
Iot Connectivity 3
Iot Sensor Systems 3
Natural Language Processing 3
Network Security Monitoring 3
Optimization for Machine Learning 3
Probabilistic Methods 3
Sequences and Recurrent Networks 3
System Development Lifecycle: Analysis and Design 3
System Security 3
Wireless System Security 3

Third semester

Advanced Relational Database Systems 3
Ai in Healthcare 3
Database Security 3
Digital Entrepreneurship and Innovation Management 3
Digital Forensics 3
Ethical, Legal and Human Aspects of Ai and Cybersecurity 3
Front End Frameworks 3
Machine Learning for Cybersecurity 3
Master's Thesis 18
Networking Solutions for Iot 3

CompulsoryECTS
OptionalECTS
ProjectECTS

Professional opportunities

Professional opportunities

Intelligent software developer.
Specialist in artificial intelligence.
Cybersecurity consultant and analyst.
Security manager in tech companies and ICT departments.
Data scientist and engineer.
Internet of Things engineer.
Researcher at innovation and development centres.
Teaching and/or research staff at universities.

Competencies

Generic competencies

Generic competencies are the skills that graduates acquire regardless of the specific course or field of study. The generic competencies established by the UPC are capacity for innovation and entrepreneurship, sustainability and social commitment, knowledge of a foreign language (preferably English), teamwork and proper use of information resources.