To obtain the MUIoT degree, it is necessary to complete 60 ECTS credits, divided as follows:
- 39 mandatory credits
- 15 elective credits (specialization), including 3 mandatory external internship credits
- 6 Master’s Thesis credits
Three specializations have been defined. Each specialization, which must be chosen, consists of 7 subjects: 4 mandatory specialization subjects (OB-E) and 1 elective specialization subject (OP-E) chosen from the remaining three, totaling 15 ECTS. Internships are mandatory as a training complement oriented to each specialization.
First Semester
Bimester 1
| Subject | ECTS | Type |
|---|---|---|
| IoT Devices | 4.5 | OB |
| Communication Networks in IoT | 3 | OB |
| Cloud Computing for IoT | 3 | OB |
| Embedded Systems | 4.5 | OB |
Bimester 2
| Subject | ECTS | Type |
|---|---|---|
| New Architectures and IoT Paradigms | 4.5 | OB |
| Communication Protocols for IoT | 4.5 | OB |
| Technological Innovation and Entrepreneurship in IoT | 3 | OB |
| Data Engineering for IoT | 3 | OB |
Second Semester
Bimester 3
| Subject | ECTS | Type |
|---|---|---|
| Machine Learning | 4.5 | OB |
| Specialization I | 3 | OP (OB-E) |
| Specialization II | 3 | OP (OB-E) |
| Cybersecurity in IoT | 4.5 | OB |
Bimester 4
| Subject | ECTS | Type |
|---|---|---|
| Specialization III | 3 | OP (OB-E) |
| Specialization IV | 3 | OP (OP-E) |
| External Internships | 3 | OP (OB-E) |
| Master’s Thesis | 6 | TFM |
Specialization Subjects
Society 5.0:
- External Internships for Society 5.0 (OB-E)
- Smart Health for IoT (OB-E)
- Smart Cities (OB-E)
- Smart Buildings and Homes (OB-E)
- Big Data for Sociedad 5.0 (OP-E)
- Video Analysis for Society 5.0 Applications (OP-E)
- Network Deployment for Smart Cities/Buildings Applications (OP-E)
IIoT:
- External Internships for IIoT (OB-E)
- Systems Integration in IIoT (OB-E)
- Green IoT (OB-E)
- Digital Twins for Industrial Plants (OB-E)
- Robotic Digital Twins (OP-E)
- Video Analysis in IIoT (OP-E)
- Big Data for IIoT (OP-E)
Connected Vehicle:
- External Internships for Connected Vehicle (OB-E)
- IoT in the Connected Vehicle Field (OB-E)
- Intelligent Transport Systems (OB-E)
- IoT for UAVs (OB-E)
- Big Data for Connected Vehicle (OP-E)
- Network Deployment for Smart Car Applications (OP-E)
- Video Analysis for Connected Vehicles (OP-E)