FACULTAT D'INFORMÀTICA
DE BARCELONA

Master in Innovation and Research in Informatics

Master in Innovation and Research in Informatics (MIRI)
The MIRI has an academic orientation, with specialization in research and innovation. It is the right degree for those graduates in Informatics or related fields, either in Engineering (Electrical, Industrial, Telecommunications, ...) or Science (Mathematics, Physics, ...) who want to obtain a high level of knowledge in one of the fields of Computer Science that enables them to obtain high responsibilty jobs in any company, and especially in those with a R&D&i department. It is also indicated for graduates who have in mind starting a PhD in the field of Informatics later on. The teaching language is English.
Orientation	Academic orientation, with professional and research specialization.
Duration	Two academic years
Deadline of pre-registratrion	Fall Semester: July 10th. Classes start on: Fall Semester: September 9th, 2013 Spring Semester: February 10th, 2014
Entry places	100 entry places
Study load	120 ECTS credits
Specializations	The MIRI offers 6 areas of specialization: Advanced Computing Computer Graphics and Virtual Reality Computer Networks and Distributed Systems Data Mining and Business Intelligence High Performance Computing Service Engineering
Recipients	Holders of a Bachelor in Informatics or related fields. Also the candidates who hold a degree in Informatics or related fields, either in Engineering (Electrical, Industrial, Telecommunications, ...) or Science (Mathematics, Physics, ...) issued by a higher education institution that qualifies the holder to pursue master's-level training in the issuing country.

Aims

Informatics has become the major driving force in many scientific and technological fields. The Master in Information and Research in Informatics is designed to provide a solid background in different aspects of research in informatics, while preparing its graduates to become experts in any of the fields of specialization offered, like Advanced Computing, Computer Graphics and Virtual Reality, Computer Networks and Distributed Systems, Data Mining and Business Intelligence, High Performance Computing and Services Engineering.

The Master in Information and Research in Informatics graduates will have a high capacity to analyse and solve complex problems. Thus they will be qualified to work in any company willing to incorporate emerging technologies in the sector, especially those with R&D centres, public and private research centres or University departments, in which they would develop new research activities. Graduates of this Master Programme also acquire the skills and knowledge to enrol in PhD programmes in Informatics such as:

All those programmes are offered at the UPC.

Enrolment

To enrol in the Master in Innovation and Research in Informatics, you must use the Pre-enrolment application for master's degree courses.

Structure

The 120 ECTS credits are structured into:

Compulsory courses: 78 ECTS credits

Common courses: 30 ECTS credits
Specialization courses: 48 ECTS credits

Elective courses: 12 ECTS credits

Final Master Thesis: 30 ECTS credits

Common courses

The 30 ECTS credits of common courses are distributed into 4 modules:

Concurrence, Parallelism and Distributed Systems (6 ECTS)
Seminars of Innovation and Research in Informatics (6 ECTS)
Statistical and Mathematical Methods for Innovation and Research in Informatics (12 ECTS)

Algorithmic Methods for Mathematical Models
Statistical Modeling and Design of Experiments

Techniques and Methodology of Innovation and Research in Informatics (6 ECTS)

Specialization courses

The 48 ECTS credits of specialization courses are distributed into different modules, depending on each specialization:

Advanced Computing:

Data Structures and Algorithms (18 ECTS)

Advanced Data Structures
Combinatorial Problem Solving
Randomized Algorithms

Computation and Complexity (6 ECTS)

Computational Complexity

Applied Algorithmics (24 ECTS)

Algorithmic Game Theory
Algorithmics for Data Mining
Algorithms for VLSI
Complex and Social Networks

Computer Graphics and Virtual Reality:

Mathematical and Computing Techniques for Computer Graphics (12 ECTS)

Advanced Modeling
Geometric Tools for Computer Graphics

Real-time Rendering, Immersion and 3D Interaction (12 ECTS)

Virtual and Augmented Reality
Fast Realistic Rendering

Advanced Topics in Computer Graphics and Virtual reality (24 ECTS)

Elements of Animation
Geometric Processing
Real-time Rendering of Massive Models
Volume Visualization

Computer Networks and Distributed Systems:

Mathematical and Computing Techniques for Computer Networks and Distributed Systems (24 ECTS)

Computer Networks
Introduction to Network Modeling
Mechanisms and Game Theory in Networks
Stochastic Network Modeling

Advanced Topics in Computer Networks and Distributed Systems (24 ECTS)

Cloud Computing
Decentralized Systems
Future Internet Networks
Internet Applications and Security

Data Mining and Business Intelligence

Data Mining Foundations (18 ECTS)

Data Analysis and Knowledge Discovery
Machine Learning
Multivariate Analysis

Data Management for Business Intelligence (12 ECTS)

Data Warehousing
Open Data

Advanced Topics in Data Mining and Business Intelligence (18 ECTS)

To complete this specialisation, students must take 3 courses (6 ECTS each one) from the following list:

Advanced Natural language Processing
Advanced Statistical Modelling
Algorithmics for Data Mining
Bioinformatics and Statistical Genetics
Information Retrieval
Kernel-based Machine Learning and Multivariate Modelling
Optimization Techniques for data Mining
Service Oriented Business Intelligence
Statistical Natural Language Processing
...

The specific courses in the different modules of this specialization will be announced not later than mid-May 2013.

High Performance Computing:

Computer Architecture and Operating Systems (18 ECTS)

Processor Architecture
Multiprocessors Architecture
Operating Systems

Supercomputing, Microarchitecture and Processor Design (30 ECTS): Five courses selected among the following list:

Compilers for High Performance Computers
High Performance Computing Applications
Processor Design
Nanoelectronic Circuit Design
Parallel Programming Tools and Models
Advanced Processor Architecture
Supercomputers Architecture

Service Engineering:

Service Management (12 ECTS)

Service Management
e-Business

Information Technologies for Services (12 ECTS)

Requirements Engineering for Services
Service Oriented Architecture

Advanced Topics in Service Engineering (24 ECTS): Four courses selected among the following list:

Advanced Software Engineering
Data Warehousing
Design and Evaluation of Web-based Systems
Service Oriented Business Intelligence (*)
Web Services

(*) Prior to enrol in "Service Oriented Business Intelligence", students must have passed successfully "Data Warehousing".

Contact information

Master in Innovation and Research in Informatics (MIRI)
Address	Edifici B6, 1a planta, Campus Nord UPC
Telephone	93 401 77 29
eMail	info.mirifib.upc.edu
Timetable	Monday to Friday, from 11:00 to 14:00. Monday and Wednesday, from 16:00 to 17:00 From June 1st to Septembre 15th, Monday to Friday from 11:00 to 14:00. Closed in August.

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