Part time Master's Degree in Computer Engineering in Tarragona in Spain

View all Part time Masters Programs in Computer Engineering in Tarragona Spain 2017

Computer Engineering

The benefits of a Masters extend beyond improving your earning potential. They can provide you with personal and professional skills to accelerate your development. They are also an opportunity to differentiate yourself from your peers, many of whom will have similar A-level and undergraduate qualifications.

A Master in Computer Engineering is a degree that emphasizes on the practical applications of hardware and software design. These include data acquisition, automation and manufacturing or communications. Graduates will be able to systems in a diversity of environments.

Spain, officially the Kingdom of Spain, is a sovereign state and a member state of the European Union. It is located on the Iberian Peninsula in southwestern Europe. Spanish universities regulate access to their own degrees and they fix the academic fees. They can also offer unofficial postgraduate degrees. The capital city Madrid has possibly the largest number of bars per capita of any European city and a very active nightlife.

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Master's Computer Security Engineering and Artificial Intelligence-1st edition

Universitat Rovira i Virgili
Online & Campus Combined 1 year September 2017 Spain Tarragona

This master's degree aims to provide students with professional training in computer engineering, telematic engineering and related ambits that specialise in Computer Security and Artificial Intelligence. [+]

Part time Masters in Computer Engineering in Tarragona in Spain. Master's Computer Security Engineering and Artificial Intelligence-1st edition This master's degree aims to provide students with professional training in computer engineering, telematic engineering and related ambits that specialise in Computer Security and Artificial Intelligence. Specifically, the master's degree: provides students with the skills to use advanced ICT for designing and implementing safe intelligent systems. provides students with the skills to use advanced ICT to ensure the safety of information in applications, services and ICT systems and the privacy of their users. provides students with the skills to lead, manage and carry out ICT systems projects based on Artificial Intelligence. provides students with the skills to innovate and conduct research in the field of Computer Security and Artificial Intelligence. Career opportunities The Master's produces professionals with the skills to work in the following positions, among others: Head of Computer Security and Artificial Intelligence projects. Management of groups of developers for Computer Security and Artificial Intelligence projects. Analyst of advanced ICT applications, particularly in the ambits of Computer Security and Artificial Intelligence. Academic and research career in universities and research centres. Language of instruction English. Student Profile Students wishing to study the master's degree should possess the following personal and academic qualities: Bachelor's degree in computer engineering Knowledge of Engineering Programming and Mathematics. Personal maturity and skills deriving from their previous university training that will be strengthened and improved further by the master's degree (e.g. work planning, knowledge of information research tools, oral and written communications skills, English, the ability to work in a team or autonomously). FIRST YEAR: Compulsory subjects First semester Cryptography and Information Security Computer Forensics Biometric Identification Multi-agent Systems Computer Vision and Pattern Recognition Neuronal and Evolutionary Computing Optional subjects Second semester Privacy Protection Multi-criteria Decision Making Systems Final Master's Project Optional subjects OPTIONAL SUBJECTS: In this section you will find the list of all the optional subjects on the curriculum. Before you select the subjects you wish to register for, please make sure that they have been activated Safe Distributed System Architectures Ubiquitous Computing Research and Entrepreneurship in Security and Artificial Intelligence Planning and Approximate Reasoning Knowledge Representation and Engineering Interactive and Visualisation Systems Multimedia Security Complex Networks BRIDGING COURSES (**): - Bridging courses for students who have studied Computer Engineering (Management or Systems): Modeling and Visualization Advanced Programming Techniques Distributed Systems Network Safety Artificial Intelligence - Bridging courses for students who have studied Industrial Engineering (Industrial Electronics or Electricity) or Telecommunications Engineering (Telematics): Modeling and Visualization Advanced Programming Techniques Distributed Systems Analysis and Design of Applications Artificial Intelligence - Bridging courses for students who have studied engineering in the field of ICT (except for computer engineering, for which no bridging courses are required): Network Safety Artificial Intelligence - Bridging courses for students with Bachelor's Degrees in Mathematics, Physics or similar fields: Network Safety Artificial Intelligence (**) After checking the candidate's transcript, the body responsible for admission can decide that the student must attend and satisfactorily complete some of the subjects that are programmed as bridging courses. Admission qualifications Students can access the master's degree with the following qualifications: Official university bachelor's degrees in Computer Science, Telecommunications, Physics, Mathematics and related ambits. Holders of official university qualifications: Diplomas, Computer Engineering, Telecommunications and related ambits. Specific documentation As well as the compulsory documentation required for pre-enrolment on the programme, students must also submit the following documents: Given that the master's degree is taught entirely in English, students must demonstrate that have a level English equivalent to at least B1. Students whose mother tongue in their country of origin is English or whose education was in English do not need to provide official certificates to accredit their knowledge of the language. Selection criteria Students will be selected on the basis of the following criteria: The average grade of the academic transcript of the official university qualification that provides access to the Master's degree. Up to 10 points. If another official university qualification in Computer Science or related ambits is presented in addition to the one that allows access to the Master's degree: technical engineering or diploma, engineering, Bachelor's degree, Master's degree, postgraduate degree or doctoral degree. Up to 2 points. Official English qualifications: First Certificate or equivalent, or certificates of a higher level. Up to 1 point. Applications will be prioritized from higher to lower in terms of the number of points they have obtained (the number of points is the total obtained from sections 1, 2 and 3). However, if there are not enough students to fill all the places available, the admissions body may admit all of the students without prioritizing them in terms of their merits. [-]

Inter-university Master's Degree in Computer Engineering and Mathematics

Universitat Rovira i Virgili
Online Part time 1 year October 2017 Spain Tarragona

The URV-UOC online Master's Degree in Computer Engineering and Mathematics (ECiM) offers interdisciplinary training in the areas of engineering and applied sciences. The ECiM programme includes cutting-edge topics such as computer modelling and simulation, numerical methods, parallel and distributed computing, knowledge representation, networks and graphs, and applied optimisation. The aim of the degree is to prepare students for... [+]

Inter-university Master's Degree in Computer Engineering and Mathematics The URV-UOC online Master's Degree in Computer Engineering and Mathematics (ECiM) offers interdisciplinary training in the areas of engineering and applied sciences. The ECiM programme includes cutting-edge topics such as computer modelling and simulation, numerical methods, parallel and distributed computing, knowledge representation, networks and graphs, and applied optimisation. The aim of the degree is to prepare students for R&D positions in industry, research centres and universities. It is intended for graduates with various scientific and technical qualifications (computer engineering, mathematics, telecommunications engineering, industrial engineering, statistics, physics, etc.). Students must complete a total of 60 ECTS credits, distributed as follows: 17 for compulsory subjects, 25 for optional subjects and 18 for the master's thesis. The ECiM is designed to be completed in one year (full-time students) or two years (part-time students). As the programme’s lecturers are active researchers in the fields they teach, they can help students to initiate research careers in computer engineering and mathematics. Career opportunities Research and development centres Companies working in the information and communication technologies Computing centres Universities Language of instruction Catalan, Spanish, English Student Profile This Master's Degree is aimed at candidates who previously obtained: Bachelor's degrees in Mathematics, Statistics, Physics and related fields. Bachelor's Degree in Computer Science, Telecommunications, Electronics, Industrial, Electrical, Mechanical, Aeronautical and related fields. Participating universities Universitat Rovira i Virgili (coordinating university) Open University of Catalonia FIRST YEAR: Compulsory subjects First semester Numerical Methods in Engineering High Performance Computing Optional subjects Second semester Simulation Final Master's Project Optional subjects OPTIONAL SUBJECTS: In this section you will find the list of all the optional subjects on the curriculum. Before you select the subjects you wish to register for, please make sure that they have been activated. Error Correcting Codes Chaotic Dynamical Systems Graphs and Applications Modeling Using Differential Equations Cryptology Multivariate Analysis of Data Particle and Finite Element Simulation Complex Networks Operative Research Combinatorial Optimization Data Structures and Algorithms Knowledge Representation Artificial Intelligence Distributed Computing Pattern Recognition Admission qualifications A university degree in mathematics, statistics, physics or a related field. A university degree in computer engineering, telecommunications, electronic engineering, industrial engineering, electrical engineering, mechanical engineering, aeronautical engineering or a related field. Seletion Criteria Pre-enrolled students will be selected according to the following criteria: Suitability of the admission qualification, up to 40 points. Qualifications will be graded in accordance with the following scale: a. Graduates in the field of science: up to 40 points. b. Graduates in the field of engineering and architecture: up to 40 points. c. Other qualifications: 0 points. Evaluation of the students' academic record in the university degree that qualifies them for admission to the master's degree: up to 40 points. Other training (courses, seminars or other training activities, for which proof must be provided) or professional experience relevant to the content of the master's degree: up to 10 points. Previous experience in research and/or stays in research centres of at least 4 weeks (proof must be provided): up to 10 points. [-]