Intelligent Interactive Systems

Future emerging technologies will provide both interactivity and intelligence. The master's programme in Intelligent Interactive Systems, in collaboration with the Universitat Politècnica de Catalunya (Barcelona) addresses both of these trends, focusing on the design, analysis, and development of agents and robots that can interact intelligently with humans and other agents; agents that can perceive, plan, act, learn, and communicate.

Objectives

The students can specialise in one of three different tracks: Big Data, Intelligent Robotics, and Interactive Communication Technologies, offered by the Master and learning about languages, models, algorithms of of interactive intelligent systems, and will be exposed to top level research in the area. In particular, master's programme aims to provide students with:

•  A solid background on state-of-the-art models and algorithms for the analysis and design of intelligent interactive systems.
•  A point of entry to top international research in the area where the contributions are made.

Teaching staff

The teachers are world-renowned scientists in Artificial Intelligence, Robotics, Machine Learning, Natural Language Interaction, Speech Technologies, and Web Intelligence. The programme's lecturers include the ICREA research professors Hector Geffner, and Leo Wanner; Anders Jonsson; Ricardo Baeza-Yates, director of Yahoo! Labs Europe; and Vladimir Estivill-Castro, of the UPF and Griffith University (Australia).   

Who is it aimed at?

This is a highly technical programme, and students are expected to have prior knowledge of mathematical language and computer science. To apply to the programme, students must hold an undergraduate degree in computer science, mathematics, physics or engineering, or have a similar background.

Structure

The programme is research-oriented and divided into three terms, over the course of which students must complete 25 credits' worth of compulsory subjects, 20 credits' worth of optional subjects, and a 15-credit research project.

COMPULSORY

• Research Methodology
• Machine Learning
• Natural Language Interaction
• Web Intelligence
• Autonomous Systems

RECOMMENDED ELECTIVES FOR EACH TRACK

• Advanced Topics in Distributed Computing
• Pattern Recognition
• Data-driven Social Analytics
• Speech Technologies
• Face and Gesture Analysis
• Virtual Communication Environments
• Mobile Robotics
• Computer Vision
• Pattern Recognition

OPTIONAL POOL

• Signal Processing
• Algorithm Design
• Advanced Topics in Intelligent Interactive Systems
• Computer Basics in Audiovisual Systems
• Education, Games and Entertainment
• Advanced Concepts and Methods in Cognitive Systems
• Cognitive Science & Psychology: Mind, Brain and Behaviour
• Audio and Music Processing

Requirements

• Official undergraduate degree/diploma (or a bachelor's degree, a degree in engineering or architecture, diplomas, technical engineering and technical architecture diplomas, or, for foreign qualifications, the equivalent qualification awarded by an accredited higher education institution) and the academic transcript of the accredited official training with the average grade at the university of origin. Degrees in any academic field of study will be accepted.
• Curriculum Vitae in English.
• A letter of motivation in English, stating the candidate's interest in following the master's programme (600 to 800 words).
• Al least one letter of recommendation (academic).
• Identity Card or Passport. 
• Proof of English language (level B2). English: official Cambridge certificates (FCE or higher), with results of 6.0 at IELTS or 100 at TOEFL (iBT), will be accepted, among others.
• Professional experience in any of the fields related to the master's programme.(optional)
• Research experience.(optional)
• Teaching experience. (optional)
• Additional academic training in areas related to the master's programme.(optional)

Scholarships

• GRAL - General scholarships for students enrolled on post-compulsory studies.  
• MATRC - Financial credential for the purposes of processing university enrolments without prior payment of the public prices for the academic services.
• UPF - Tuition fee scholarship for university master's degree students
• Global Education