General information

Academic year: 2023/2024

Level: Master

Type: Erasmus Mundus Master's Degree

ECTS Credits: 120

Programme orientation Research

Length of programme (full time): 2 YEARS

Mode of delivery: Face-to-face

Level of qualification: Máster (MECES level 3 - EQF level 7)

Model of study: Full-time (42-60 ECTS per school year)

Work-based learning (Practicum): Yes

Language(s) of instruction English


More info:


Programme coordinator

Name: JUAN LUIS, NIEVES GÓMEZ / jnievesyCZIDKNll4@ugr.es


Faculty of Science / Granada campus

Main focus

; Graduates of the master’s programme will have acquired the following knowledge and skills: To plan and carry out research projects that contribute to the production of knowledge in the field of Color in Science and Industry and computer vision, communicating scientific knowledge through standard channels. To contextualise new information and its interpretation, as well as demonstrate and implement methods of critical analysis, develop theories and apply them in the field of Color in Science and Industry and computer vision. To effectively participate in unidisciplinary and multidisciplinary work groups that develop projects related to Color in Science and Industry and computer vision.; To describe and apply fundamental aspects of digital imaging, including optics, vision and processing of both colour and spectral images. To combine Colour Science, digital processing of images and associated mutimedia technologies. To design and implement colour and spectral image processing algorithms. To apply current technology in artificial, colour and spectral vision to specific problems in the design and development of solutions and work flows.

Competences

Students that have completed the second cycle have the following competencies: – Have demonstrated knowledge and understanding that is founded upon a basis or opportunity for originality in developing and/or applying ideas, often within a research context. – Can apply their acquired knowledge and understanding, and problem solving abilities in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their field of study. – Have the ability to integrate knowledge and handle complexity, and formulate judgments with incomplete or limited information, but that include reflecting on social and ethical responsibilities linked to the application of their knowledge and judgments. – Can communicate their conclusions, and the knowledge and rationale underpinning these, to specialist and non-specialist audiences clearly and unambiguously. – Have the learning skills to allow them to continue to study in a manner that may be largely self-directed or autonomous.

Programme qualification

Name of title awarded in original language

Máster Universitario Erasmus Mundus en Ciencia del Color, Imágenes y Visión Computacional

Qualification requirements

120 minimum credits

Programme courses

Course NameYearPeriod
3D Models in computer vision 1st Year Yearly
Advanced colour and image processing 1st Year 2nd Semester
Advanced colour and spectral imaging 1st Year 2nd Semester
Advanced colour management 1st Year 1st Semester
Advanced deep learning 1st Year Yearly
Advanced image processing 1st Year Yearly
Advanced optoelectronics 1st Year 2nd Semester
Advanced project work 1st Year 1st Semester
Advanced spectral imaging devices 1st Year Yearly
Appearance, perception and measurement 1st Year 1st Semester
Applications on photonics 1st Year Yearly
Colour science Laboratory 1st Year Yearly
Computer graphics fundamentals and applications 1st Year 1st Semester
Computer graphics fundamentals and applications 1st Year Yearly
Computer graphics fundamentals and applications 1st Year Yearly
Computer graphics fundamentals and applications 1st Year Yearly
Computer graphics fundamentals and applications 1st Year Yearly
Computer vision 1st Year 2nd Semester
Cross-media color reproduction 1st Year Yearly
Data science 1st Year 2nd Semester
Deep learning for visual computing 2nd Year 1st Semester
Digital Innovation and Entrepreneurship 1st Year Yearly
Finnish language 1st Year 1st Semester
French language and culture 1st Year Yearly
From statistics to data mining 1st Year Yearly
Graph mining 2nd Year 1st Semester
Human perception and cognition 1st Year 2nd Semester
Image processing and Analysis 1st Year 1st Semester
Industrial group project 1st Year Yearly
Introduction to research on colour and visual computing 1st Year Yearly
Light matter interaction and materials appearance: from physics to virtual reality 1st Year Yearly
Location-aware mobile applications development 1st Year 1st Semester
Machine learning: fundamentals and algorithms 1st Year 2nd Semester
Master's Degree Dissertation 2nd Year Yearly
Master's Degree Dissertation 2nd Year Yearly
Master's Degree Dissertation 2nd Year Yearly
Master's Degree Dissertation 2nd Year 2nd Semester
Norwegian language and culture 1st Year 1st Semester
Optical metrology and fabrication 1st Year Yearly
Optical sensors 1st Year 2nd Semester
Optics 1st Year 1st Semester
Other elective course upon eligibility 1st Year 1st Semester
Other elective course upon eligibility 1st Year 1st Semester
Programming crash course MATLAB and Python 1st Year 1st Semester
Real time 3D visualization 1st Year Yearly
Remote Imaging and Sensing 1st Year 2nd Semester
Research communication, incl. LaTeX 1st Year 1st Semester
Research ethics 1st Year 1st Semester
Research methodology and projects management 1st Year Yearly
Robotics and XR 2nd Year 1st Semester
Spanish language and culture 1st Year 2nd Semester
Specialisation in colour imaging 1st Year 1st Semester
Specialisation in video processing 1st Year 1st Semester

Specialisations

Specialisation name

– No Specialisation

Admission information

Access to Master’s Degree programmes is granted to holders of:
A.1. A Spanish official university degree.
A.2. A degree issued by a Higher Education institution from another European Higher Education Area Member State which allows access to Master Degree’s programmes in that State.
A.3. A degree from a non-EHEA education system, upon verification by the Spanish University that the aforementioned degree accredits an equivalent education level to that of a Spanish university degree and allows access to postgraduate programmes in the issuing country.
A.4. A Spanish Bachelor in Advanced Artistic Education.
A.5. Official Spanish university degrees of Diplomado, Arquitecto Técnico, Ingeniero Técnico, Licenciado, Arquitecto, Ingeniero, Graduado or Máster Universitario.

Specific admission requirements

Candidates must have a language competence level of B2 in English according to the Common European Framework of Reference for Languages.

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