Curriculum

 

The 120 ECTS crèdits of this master are structured into:

  • Common Mandatory Courses: 78 ECTS
    • Compulsory courses of specialization: 30 ECTS
    • Elective courses of specialization: 48 ECTS
  • Elective: 12 ECTS
  • Master Thesis: 30 ECTS

 


 

Elective
Mandatory
Master Thesis

 

Mandatory Common course

 

Semester 1

Semester 2

Seminars
(SIRI - 6 ECTS)

Semester 3

Semester 4

Master Thesis
(TFM - 30 ECTS)

 

Elective

You can choose any MIRI or UPC Masters courses.


 

Elective
Mandatory
Master Thesis

 

Mandatory Common Course

 

Semester 1

Semester 2

Semester 3

Semester 4

Master Thesis
(TFM - 30 ECTS)

 

Elective

You can choose any Miri or UPC Masters courses.


Elective
Mandatory
Master Thesis

 

Mandatory Common Course

 

Semester 1

Semester 2

Semester 3

Semester 4

Master Thesis
(TFM - 30 ECTS)

 

Elective

You can choose any MIRI or UPC Masters courses.


Elective
Mandatory
Master Thesis

 

Mandatory Common Course

 

Semester 1

Semester 2

Seminars
(SIRI - 6 ECTS)

Multivariate Analysis
(MVA - 6 ECTS)

Open Data
(OD - 6 ECTS)

Machine Learning
(ML - 6 ECTS)

Semester 3

Semester 4

Master Thesis
(TFM - 30 ECTS)

Specialization Elective

Elective

You can choose any MIRI or UPC Masters courses.


Elective
Mandatory
Master Thesis

 

Mandatory Common Course

 

Semester 1

Semester 2

Semester 3

Semester 4

Master Thesis
(TFM - 30 ECTS)

 

Specialization Elective

You can choose five of this seven courses

Microarchitecture and Processors Design

Supercomputing

 

Elective/h4>

You can choose any Miri or UPC Masters courses.


Elective
Mandatory
Master Thesis

 

Mandatory Common course

 

Semester 1

Semester 2

Semester 3

Semester 4

Master Thesis
(TFM - 30 ECTS)

 

Elective


You can choose any MIRI or UPC Masters Courses