profiledifferential
The Double Master's Degree allows the student to take the Master's Degree qualification in Telecommunication Engineering (MIT) and to continue for two more modules in the Master's Degree in data analysis in Engineering (MADI), taking a total of 135 ECTS credit.
This training in Telecommunication Engineering, together with an outstanding technological training in data analysis and Artificial Intelligence, will allow you to develop a very complete professional profile , standing out in the labor market to be able to lead the technology of the future.
CONTACT
Susana Montes-Tallón
smontestallon@tecnun.es
Campus San Sebastian
Paseo Manuel de Lardizabal, 13
San Sebastian, Spain
+34 943 21 98 77
Our students will be highly qualified to respond to the growing demand for data analysis and Artificial Intelligence professionals in the telecommunications environment, without forgetting the commitment to a code of ethics adapted to the use of technology and its data.
The pillars of our training
01
partnership with IESE and the business world
Our goal is to prepare our students for a powerful start in the workplace. That is why the involvement of the business world in Master's Degree is one of our priorities. Our faculty includes professionals from leading companies, as well as professors from IESE Business School, who bring the reality of the business world closer to our students and also allow them to start their professional network. The programme includes visits to companies in different sectors and enables students to complete the project Final Year Master's Degree in them. The double Master's Degree has professionals from prestigious companies such as Fraunhofer Institute, Amazon, IBM, Accenture, Microsoft, Vicomtech, NASA, Mediaset España, Madrid calle 30, MEIK, BBVA, CTT Systems, VASS, Ineustar, Iberdrola, enigmedia, CAF, ceit, etc....
02
Mentoring Programme and development leadership
Our mentoring programme puts at the disposal of student a mentor staff who accompanies you and financial aid in your development. Our mentors are professionals with extensive experience in the development of people.
03
Differential methodology and teamwork
It is not only important what to study, but also how to study in order to develop students' personal and professional skills.
Part of the learning consists of using new methodologies and tools that allow student to develop their personal skills, such as work in teams, conflict resolution and management of projects with agile or scrum methodologies.
04
work in real cases of implementation
Big Data and artificial intelligence are capable of being applied to the industrial world in a multitude of scenarios: in the design of products and tools from design, in the automation of processes, in the Internet of Things, etc.
Our collaborating companies, propose to student real cases in which the application of Artificial Intelligence has to suppose a substantial improvement in the product or service that is the case of study.
Study program of MIT
Study program of the MIA
Data Science | 5 ECTS credit credit
Know and apply pre-processing techniques and data analysis for decision making in different use cases.
Machine Learning | 5 ECTS credit credit
Know and apply the main supervised and unsupervised machine learning models in different use cases.
Cloud Computing | 5 ECTS credit credit
Know the technologies and services available in the cloud to be able to manage massive data (Big Data) and implement artificial intelligence solutions.
TOTAL ECTS CREDIT CREDIT: 15
Deep Learning applied to Computer Vision | 5 ECTS credit credit
Understanding and developing convolutional neural networks to address industrial problems such as product defect detection and localisation, classification, and segmentation.
Smart Robotics | 5 ECTS credit credit
Analysis and study of perception and intelligent navigation methods applied to robotics in the context of Industry 4.0.
Natural Language Processing | 2 ECTS credit credit
Know and apply techniques for collecting data on social networks such as Twitter or Facebook for subsequent analysis.
Ethical Challenges of Artificial Intelligence | 3 ECTS credit credit
Understand the potential benefits and risks of the use of Artificial Intelligence in different fields, as well as the existing legislation to be complied with.
TOTAL ECTS CREDIT CREDIT: 15
Master's Thesis
The Final Projects Master's Degree can be carried out either at a private business or at a foreign university, depending on the interests and objectives of each student student. The School of Engineering offers student numerous options for both paid projects in companies and placements in renowned foreign universities.
The Final Project Master's Degree consists of the development of a project that integrates the knowledge and competences acquired during the programme. The work includes the development of a specific project , the essay of a report that synthesises and establishes conclusions, as well as the oral and public defence of the work carried out.
You can find more information on the website of the Master's Degree Final Project at employment opportunities.
The complete price of the Master's Degree can be found here link.
This amount includes
Academic expenses, teachingand teaching materials.
Visits to institutions, companies and programs of studyrelated to teachingand the profession.
Programme coordination and administrative costs.
Hospitalisation and accident insurance in Spain during teaching and internship periods.