Masters Programs in Computer Engineering

Compare 59 Masters Programs in Computer Engineering

Computer Engineering

Computer Engineering combines the academic disciplines of Electrical Engineering and Computer Science to develop new computer systems. Master in Computer Engineering graduates combine their understanding of computer hardware and software to develop new computer components or improve existing designs. Offered at universities and academic institutions around the world, Master of Computer Engineering programs prepare graduates for highly valued, lucrative careers in design, development, research and testing of computer hardware and software.

Master of Computer Engineering students have the opportunity to specialize in different specialty areas of the discipline, from Healthcare Systems to Robotics, Wireless Networks to Integrated Circuits and much more. Applicants to a Master of Computer Engineering program should hold a Bachelor's degree in a related subject. Offered through various study modes, Master of Computer Engineering programs can be taken part time, full time, online or through distance learning. Typically lasting about two years, Master of Computer Engineering programs often culminate with a thesis project, wherein the students complete an individual or group project to improve their in-depth, technical understanding of a specific area of Computer Engineering.

To learn more about how you can apply to a Master of Computer Engineering program in Azerbaijan, China, Estonia, the Netherlands, Turkey, the USA, or in many other countries around the world, scroll down and click to read more today!

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Master of Data Science

Harbour.Space
Campus Full time 2 years Open Enrollment Spain Barcelona

The MSc Data Science programme is designed for those who desire to deepen their comprehension of all aspects of the data sciences. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a BSc in data science. [+]

Masters in Computer Engineering. This program is taught in ENGLISH. The Master Degree program in Data Science is designed for those who desire to deepen their comprehension of all aspects of data science. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a bachelor degree in computer science. PROGRAM STRUCTURE Year 1 Students begin the programme with foundational knowledge of programming and mathematics, including data structures and algorithms, statistics and machine learning. During the first year their knowledge of mathematics, programming and data analysis will be significantly extended. The programme also offers the opportunity to obtain key soft skills for the professional world including technical project management, writing and presenting. Finally, students are expected to attend a substantial amount of talks and workshops offered by the university, as well as working on the Capstone project. Modules Combinatorics And Graphs Convex Optimization Information Theory Discrete Optimization Auctions Stochastic and Huge-Scale Optimization Computability And Complexity Probability and Statistics Statistical Data Analysis Machine Learning C++ JAVA Python Practical Unix Data Structures and Algorithms Parallel and Disrtibuted Computing R Databases Technical Writing and Presenting Technical Project Management Leadership and Group Dynamics Introduction to Interaction Design Web Graphs Capstone Project Seminars & Workshops Year 2 During the second year of the program students will primarily focus on learning the key applications of the data science as well as advanced methods in mathematics and data analysis. A significant part of the year will be allocated to the completion of the capstone project. Through completion of the programme, students will learn to conduct data analysis on any scale, develop the software necessary for analysis and present the results in a professional and efficient ways. Modules Nonlinear Optimization Robust Optimization Machine Learning Statistical Data Analysis Machine Learning on Big Data Stochastic and Huge-Scale Optimization Data Visualization Map Reduce Distributed Databases Technical Writing and Presenting Leadership and Group Dynamics Technical Project Management Big Data Analysis Cryptography Social Network Analysis Image And Video Analysis Text Mining Information Retrieval Machine Translation Algorithms in Bioinformatics Spectral Graph Analysis And Data Science App Capstone Project Seminars & Workshops MATH AS A SECOND LANGUAGE (MSL) A Harbour.Space major requirement for all students in tech is a very good level of math. Anyone who lacks the strong math foundation they need for a career in tech, but is eager to learn has a home in our foundation course (link). Students acquire all the basic tools they need to continue studies in Computer Science, data Science or Cyber Security. Graduating from MSL means opening the doors to apply for a place at Harbour.Space University and any other top-rate tech university in the world. Programme Leadership Andrei RaigorodskiiDr.Sci, PhD, Chair of the Department of Discrete Mathematics Konstantin MertsalovPhD, Director of Software Development Europe, Rational Retention Career Path Junior Data Scientist Data Scientist Senior Data Scientist Principle Data Scientist Chief Data Officer LIVING IN BARCELONA Studying in Barcelona has the following advantages: Barcelona is #1 in Europe for quality of life and clearness of environment (2012 Quality of Life City Rankings – Mercer Survey) Barcelona is #1 in the world for the level of infrastructure and urban development (2011, Ernst & Young). The region of Catalonia, where Barcelona is the capital, contributes significantly to the Spanish GDP. The growth of Catalonia’s GDP is currently 3.3%, much higher than in Europe on average. Catalonia’s exports are €42.2 billion, higher than in any other region of Spain. 7,000+ innovation and technological companies during the last 10 years. Barcelona is 6th in Europe for attractiveness and comfort for doing business (European Attractiveness Survey 2011, Ernst & Young), Barcelona is 2nd in Europe (after London) for being promoted as a business center (European Cities Monitor 2011); Barcelona is 2nd in the world for hosting different international conferences and congresses (City and Country World Report 2011, ICCA ). Barcelona is the host of the annual World Mobile Congress, which attracts thousands of international companies that work in the mobile industry. 7,000,000 + millions of tourists / year 20° C - average temperature during the day 2437 hours of sunshine/ year Cost of living 550 euro / month [-]

MicroMasters Program in Professional Android Developement (Galileo University)

edX MicroMasters Programs
Online Full time Part time 20 weeks January 2017 USA Cambridge + 1 more

Become a professional Android Developer as you learn, alongside Google Developer Experts, how to create successful Apps. [+]

Average Length: 4 weeks per course Effort: 8-10 hours per week, per course Number Of Courses: 5 Courses in Program Subject: Computer Science Institution: Galileo University Institution Offering Credit: Galileo University Language: English Video Transcripts: Spanish, English Price (USD): $200 per course Become a professional Android Developer as you learn, alongside Google Developer Experts, how to create successful Apps. Learn all about Android Application Development and get prepared to take the Google Associate Android Developer Certification Exam. Progress from the basic concepts to the best professional practices in a unique way that will inspire you to be a great Android developer. You will learn, from Google Developer Experts, Java and object oriented programming concepts, including classes, interfaces, inheritance, polymorphism You will also learn advanced skills, such as adding maps & location based services, photo, video and integrating with other applications. You will be given code examples during instruction to help you work towards the final Capstone project, which is to develop your own app. The Capstone project will certify your Android App Development abilities and allow your skills to be recognized by corporations around the globe. This MicroMasters Program will prepare you for the Google Associate Android Developer Certification Exam, and give you the opportunity to earn credit and put you on an accelerated path to an Information Technology Masters. Job Outlook The average base salary for Android Developer is $89,651 per year, ranging from $68,553 to $112,020. (source: paysa.com) The estimated total number of Android devices in the hands of consumers, as of December 2014, according to statista.com, lies north of 1.6 billion. This is a staggering amount, and a very large potential market of users. Exciting career opportunities as an Android App Developer, Android Engineer, Quality Assurance (Android), Android UX Engineer, Design. What You'll Learn: Understand how writing, compiling, and running basic Java applications using basic algorithms, developing programs with conditionals and loops and design and implement recursive algorithms. Understand Android architecture and the key principles underlying its design. Identify different techniques to plan, design and prototype your mobile apps before writing any code. Apply material design principles to build compelling, beautiful interfaces for your Android apps, building layouts using XML and using Java code. Create applications using the new version of Firebase. Understand the use of Model-View-Presenter (MVP). Understand how to integrate with third-party API (Twitter, Facebook). Test Android-based mobile applications using Android testing tools. Understand how to monetize Android apps to earn money in the Android market. MicroMasters Program Details How To Earn Your MicroMasters Credential Successfully complete and earn a Verified Certificate in all four courses and the final Capstone Project. Take Your Credential To The Next Level Combine your MicroMasters Credential with the Information Technology Master. With a MicroMasters Credential in hand, students interested in continuing their studies at Galileo University may apply to the full Information Technology master’s program. (Earn 18 University Credits, equivalent to 25% of Master’s courses.) Courses Java Fundamentals for Android Development Gain entry-level skills and knowledge in Java fundamentals and an intro to Android Studio for a strong foundation in Android Apps. Android App Development for Beginners Learn the Android app development process from Google experts. Professional Android App Development Google Developer Experts show you how to become a Professional Android App Developer. Monetize Android Apps with Business Models Create profitable Apps using proven business models and earn money by developing your Android App using AdMob. Android Developer Capstone Project: Building a Successful Android App Demonstrate and implement the knowledge and skills acquired in the Android Developer MicroMasters. What is a MicroMasters Program? Developed to advance a career and born from Master's programs of leading universities, MicroMasters programs are a series of higher-level courses recognized by companies for real job relevancy, and may accelerate a Master's degree. [-]

Master in Computer Science and Knowledge Discovery

Saint Petersburg Electrotechnical University
Campus Full time 2 years September 2017 Russia St. Petersburg

The structure of the degree program consists of advanced professional studies, elective courses and Master’s Thesis. [+]

Masters in Computer Engineering. The structure of the degree program consists of advanced professional studies, elective courses and Master’s Thesis. Graduates will be able to use modern information and communication technologies (applied software packages, local and global computer networks) for acquiring, processing and analyzing various types of information. Graduates will also manage to estimate software quality and apply software for solving professional tasks in various fields. Graduates will have special knowledge in software techniques of information security. Special skills will be obtained in the field of applied and computer mathematics. Furthermore, students will also acquire professional skills in mathematical modelling and advanced data analysis. Special training will be provided in the fields of artificial intelligence (data mining), signal and image processing, parallel and distributed computing, and biometric technologies. Program curriculum includes the following advanced courses: Intelligent systems; Computer tools in education; Algorithmic mathematics; Professionally oriented foreign language; Digital signal processing; Advanced mathematical methods; Information technologies in academic research and project activity; Parallel computing; Advanced data analysis and machine learning; Languages for hardware design and verification; Biometric technologies; Distributed systems and technologies; Mathematical modelling of linear and non-linear systems; Basics of system theory; Data and visual analytics; Information security; Foreign language; Mathematical foundations of computer science; Computational systems; Social communications in professional environment; Commercialization of academic results and developments; Algorithm design and optimization; Software development technology. The department of Computer Science and Engineering is one of the oldest and most renowned departments in the University (founded in 1931). The research areas of the department encompass software and hardware development and verification, development of FPGA, digital signal processing, distributed systems, microprocessor systems, artificial intelligence and machine learning, parallel computing, embedded systems, etc. Students will have access to high-performance cluster with cloud computing and modern software-hardware systems. Programme: 120 ECTS credits, full-time study (2 years), Master’s Degree Eligibility: candidates must hold a Bachelor's Degree in the corresponding field Scholarship: scholarship covers the tuition fee and some study materials An academic year includes 2 semesters beginning on 1st September and 10th February, Winter holidays - 2 weeks, Summer holidays - 2 months (July, August). Master’s Thesis defense is in June. Educational programs of «LETI» are constantly modernized, following the principle «Training through research». Graduates of our university receive new, profound knowledge and practical skills of work. [-]

Master in Applied Computing in Engineering and Science

Siberian Federal University
Campus Full time 2 years October 2017 Russia Krasnoyarsk

Siberian Federal University (School of Space and Information Technologies) offers English-taught Master's Degree Program “Applied Computing in Engineering and Science”. [+]

Siberian Federal University (School of Space and Information Technologies) offers English-taught Master's Degree Program “Applied Computing in Engineering and Science”. Rapid development of computational methods enabled to implement new approaches in different areas, e.g. engineering, economics, bioinformatics, environment sciences, social sciences, etc. In research and development, as well as in management, we can see the trends to: creating mathematical models for descriptions and simulation of real systems, their properties and behavior; using complex statistical methods in order to evaluate the chances of certain cases and reliability, e.g. in quality assurance, setting up parameters of social security systems, cancer research, etc. Therefore, specialists having good knowledge and skills in computing are rather required by the labor market in all developed countries. This program was developed in the framework of the EU Tempus program in cooperation with: Technische Universitat Wien (Austria), Bergische Universitat Wuppertal (Germany), Katholieke Universiteit Leuven (Belgium) and other universities. It focuses on mathematical methods in applied sciences (simulation of complex mechanical and physical systems), numerical methods and symbolic computation. The program curriculum and research projects proposed for our students are based on more than 20 years long cooperation with the leading producer of Russian GLONASS navigation satellites — Reshetnev center situated near Krasnoyarsk. Many of our courses are aimed at application of navigation signal processing. Our local supercomputing cluster provides the necessary research and training facilities. Entry Requirements BSc or MSc degree in Mathematics, Physics or Computer Science (transcript of records), good command of English (certificate or other document) Accommodation On-campus accommodation is available. Costs 2016/2017: single ensuite room 45 € per month, twin ensuite room 30 € per month. Airport transfer, invitation letter for a Russian study visa and an optional survival course of Russian as a foreign language are provided by the University. [-]

Master in Software Engineering

University of Gothenburg Department of Computer Science and Engineering
Campus Full time 4 semesters September 2017 Sweden Gothenburg

The master’s programme in Software Engineering is based on one of our strong research profiles and is also run in very close collaboration with industry. The programme is coupled to the newly established Software Center, which is a joint initiative by Chalmers and University of Gothenburg together with industry partners. [+]

Masters in Computer Engineering. The master’s programme in Software Engineering is based on one of our strong research profiles and is also run in very close collaboration with industry. The programme is coupled to the newly established Software Center, which is a joint initiative by Chalmers and University of Gothenburg together with industry partners. The programme focuses on three key roles in software system development: Software Project Manager, Software Architect, and Software Quality Manager. The main perspectives for each of these roles are: - Understanding industrial practices - Supporting practices with new methods and tools - Innovating practices to improve performance The master’s education in Software Engineering is targeting students who want to deepen their knowledge about model-driven engineering, software architectures, quality management, project management, and gain practical experience from working in software projects. There is also a potential for deeper studies in programming and design. By working closely together with both researchers and practitioners in projects, you receive a wide range of opportunities to shape a career in industry or academia. The programme is structured around a set of recommended courses in the area of software engineering specialising in the following areas: - Managing software projects - Software architecture and modelling - Verification and validation - Implementation The education is to a large extent project- and problem-based, supervised by both researchers from the university and practitioners from industry. The students are working with real-world problems with connection to both research and practice. Compulsory courses - Project and Quality Management - Requirements Engineering - Model Based Testing - Empirical Software Engineering - Advanced Software Architecture - Model Driven Engineering - Software Evolution Project - Master’s Thesis Project - Recommended elective courses - Programming or Modelling - Agile Software Processes - Software Engineering Using Formal Methods - Software Product Lines - Programming Paradigms - Innovation and Entrepreneurship - Science and Research Methodology Additional elective courses are available. The programme is entirely given in English and we welcome students from all countries. The Software Engineering Master's programme has been selected by the Swedish Institute to nominate candidates for scholarships. Content The programme spans 120 higher education credits (ECTS) and is divided into four semesters. The first semester starts with a course focusing on the three roles, followed by a project where the objective is to work on a real problem where all three roles are needed to solve it. During the second semester, if you have a background in SE, you will get the opportunity to broaden your knowledge base by choosing courses in other subjects. Otherwise, you can study courses with a traditional SE content. The second semester also contains a project, where you assume one of the roles. You continue to focus on this role when you choose courses for the third semester and start your thesis preparation. During the fourth semester you concentrate solely on the master thesis project. In this programme, you work closely with researchers work on projects during all semesters. These will often be related to a real problem introduced by company. This way scientific quality can be combined with industrial relevance. Theoretical courses are provided as well, with a mix of seminars and group activities with presentations by visiting researchers and practitioners. [-]

Master of Engineering in Software Engineering

University of Maryland, A. James Clark School of Engineering
Campus Full time September 2017 USA College Park

Master of Engineering in Software Engineering [+]

Admission Requirements: Full admission as a degree seeking student requires the following prerequisites: A bachelor's degree, GPA of 3.0 or better, in engineering (computer/electrical), computer science, mathematics, or applied mathematics, or a closely related field from an accredited institution. Courses in mathematics (Calculus I, II) and at least one (1) programming language course are required to be considered for admission. Further admissions requirements. Completed applications are reviewed and considered for admission on a case-by-case basis. [-]

Master in Software, Systems and Services Development in Global Environment

University of Oulu
Campus Full time 2 years September 2017 Finland Oulu

The Department of Information Processing Science at the University of Oulu organizes a two-year full-time Master’s degree programme in Software, Systems and Services Development in the Global Environment (GS3D). [+]

Masters in Computer Engineering. Master in Software, Systems and Services Development in Global Environment The Department of Information Processing Science at the University of Oulu organizes a two-year full-time Master’s degree programme in Software, Systems and Services Development in the Global Environment (GS3D). Graduates from GS3D will have the competence to work as Experts and Managers in global ICT companies. The programme will provide multidisciplinary knowledge of software, systems and services development in a global context. Graduates will acquire the skills to understand and to analyze the dynamics of the software business environment. Students can progress with their studies to PhD and participate to GS3D research groups. Programme Outline The degree includes: Compulsory Studies - 95 ECTS Optional Studies - 25 ECTS Compulsory Master's studies include intermediate subject courses which will deepen into more advanced studies. The advanced courses form the core of the Master's programme, as they tackle the deeper aspects of the topics introduced in the earlier courses. Studies will have a basis in research and a significant portion of time will be used for the preparation of the Master's Thesis. Its purpose is to develop a student's readiness for the independent acquisition of scientific knowledge, identifying problems, analysing them, and forming a solution to them. Optional studies include either courses of information processing science or minor studies in other sciences. Courses range from 1 to 7 ECTS composing a wholeness of 25 ECTS. Learning outcomes By completing the Master’s level studies in information processing sciences a student can act as an independent expert in a goal-oriented project and is able to professionally manage such a project. The student masters typical research methods and can select the most appropriate research and data collection methods for a specific research problem. Students can develop the working methods and practices of their subject area by using a scientific approach and can communicate them clearly and fairly. After finishing Master's level studies in the GS3D programme a student can also: Apply existing and produce new IS and SE knowledge for organisational and software companies’ needs; Analyse and evaluate human activities in IT use situations, work practice and organisational functioning using conceptual means, and present the results of the analysis using suitable descriptive methods; Analyse and evaluate software solutions and processes from the perspective of software architecture, design patterns, established capability and maturity models; Evaluate the impact of the development of information technology to organisational functioning; Design IT solutions that solve identified problems and improve the efficiency of organisational practices; Design and construct software that satisfies specified functional and quality requirements; Act efficiently in global and distributed software projects or open the source community; Set targets to self-steer and work towards those goals; Communicate clearly and analytically using techniques derived from scientific practice. Students can progress with their studies to PhD degree and participate in GS3D research groups. Programme Admissions General Academic Requirements and Language Requirements are same for all of the Master's programmes. Programme Specific Academic Requirements The applicant should have a university level Bachelor's degree, or equivalent university level degree, suitable for studies of information processing science, with good grades. The degree may be from abroad or from other Finnish universities or from Universities of Applied Sciences (AMK). The programme is ideal for applicants who have background in Software Engineering, Information Systems, Computer Science, Information Technology and Computer Engineering or nearby studies. Selection Process The selection is made by the selection committee based on the rankings of applications according to the selection criteria (see below). Detailed Selection Criteria The students are ranked based on these criteria. 1. Previous Studies Relevance of the field in Bachelor degree Average grade in Bachelor degree 2. English Skills (documentation required) 3. Motivation a. Motivation letter, max. 2 pages (included in the electronic application form) Reasons for applying (expectations, career plans, interests etc.) and commitment to GS3D studies Qualifications to be a successful and prospective graduate (personal strengths, achievements, professional work experience etc.) Matching together earlier studies and GS3D Financing the studies and stay of living in Finland b. Reference letter(s) Original reference letter(s) must be attached to the application. Typically reference letters are academic references (professors, faculty officials) or references from employers. 4. Interview The selection committee invites maximum 80 applicants to personal interview based on the criteria 1-3. Interview is arranged with web based tools or locally at University of Oulu. Student Selection Applicants will be informed about the admission results by the end of April by email. Accepted applicants will also receive acceptance letter and an information package via post mail. University of Oulu International Master’s Scholarship Scheme 2017-2018 Connected with the renewal of university strategy, the increased importance of internationalization and the introduction of tuition fees for non-EU/EEA citizens, the University of Oulu has assigned a significant amount of money for tuition scholarships for 2017 entry. The scholarships will be granted in the form of a tuition fee waiver. The tuition fee waiver awarded covers 100 % of the full tuition fee. Applicants can apply for the tuition scholarship as part of the admissions process. University of Oulu Scholarship Scheme in more detail The University of Oulu International Master’s Scholarship Scheme (IM Scholarship) provides scholarships to academically talented international students. The scholarship is aimed at students studying for a Master’s degree in the University of Oulu two-year International Master’s programmes. The scholarship covers the full international tuition fee. University of Oulu IM Scholarships do not cover living costs. In order to retain the scholarship in the following year of study, a student must have completed 55 ECTS by the end of the previous academic year. If a student does not achieve this requirement during the first year of studies, they will be liable to pay the full international tuition fee for the second year if they wish to complete their Master’s degree programme. An exception to this rule can be made if a student has been granted approved leave from studies (e.g. due to serious illness). Eligibility Requirements to Apply for International Master’s Scholarship Applicants are eligible to apply for a University of Oulu IM Scholarship 2017-18, if they are: Non-EU/EEA* citizens who do not have a permanent residence permit in Finland. (Applicants not eligible for the International Master’s Scholarship are: 1) non-EU/EEA citizens who have a permanent residence permit in Finland, 2) EU/EEA citizens or comparable persons, 3) University of Oulu students who have been accepted to study BEFORE the academic year 2017-18.) Eligible to apply for a Master’s degree programme at the University of Oulu for academic year 2017 – 18. The applicant has obtained their first academic degree (Bachelor’s or equivalent) from a recognised institution of higher education. The applicant proves a high level of proficiency in English language. Approved methods of demonstrating language proficiency. Applicants who are in their last term/semester of studies for their first academic degree during the application period, can apply for the scholarship. Applicants who receive a conditional offer of study placement for a Master’s programme will receive a conditional scholarship offer. The scholarship application will be processed in the selection procedure only if the applicant meets the admissions criteria. *European Union / European Economic Area member states are: Austria, Belgium, Bulgaria, Cyprus, Czech, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Liechtenstein Republic, Denmark, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, and United Kingdom. With the EU legislation, Switzerland is also comparable for EU member states. The nature of residence permit is indicated in the residence permit with a letter. A permanent residence permit bears the letter P or A and an EC residence permit for third-country nationals with long-term EC resident status bears the letters P-EY. Application for International Master’s Scholarship 2017-18 There is no separate application system for the International Master’s Scholarship. All applicants for University of Oulu Master’s degree programmes need to complete the Student Application Form. Those applicants who are applying for the University of Oulu International Master’s Scholarship have to additionally complete the “Application for Scholarship,” section which can be found at the end of the Student Application Form. The International Master’s Scholarship application section cannot be completed and/or submitted without the Student Application Form. The application period for the University of Oulu Master’s degree programmes and International Master’s Scholarships is 15.12.2016-25.1.2017 Selection criteria for University of Oulu IM Scholarship 2017-2018 Admissions and scholarships decisions will be taken at the same time. Those students successful in obtaining an International Master’s Scholarship will be notified at the same time as their offer of admission to their International Master’s programme is confirmed. The selection criteria for the University of Oulu IM Scholarship are based on previous academic performance and academic potential. For questions concerning the University of Oulu IM Scholarship, please contact admissions.officer(a)oulu.fi [-]

Advanced Master In Development

Institut Africain de Management
Campus Full time February 2017 Senegal Dakar

The objective is to train high-level developers, able to master the specifics of mobile applications. [+]

The objective is to train high-level developers, able to master the specifics of mobile applications. Indeed in the near future, a majority of applications will be available to the general public via mobile media type phone, smart cards, tablets, ... - Its objective is to provide training of core competencies in engineering (UML modeling and Agile approaches, application development using Java J2EE technology), with a collaborative development into practice (svn / git) redmine CONDITIONS OF ADMISSION • IT Licence • Application form • Admission Interview LANGUAGES • English students will be able to master the concepts and methods for the design and administration of information systems within IT and mathematics of decision applied to management. Double student management computer skills should enable them to provide expertise and accountability functions relating to the identification of needs, the development and administration of IS, project management and implementation of a project. Students will be able to develop the following qualities: sense of responsibility, ability to work in coaching multicultural teams and decision-making analytical rigor, openness. [-]

Master’s degree in Computer Engineering ( taught in Italian )

University Of Bergamo
Campus Full time October 2017 Italy Bergamo

The course provides skills considered fundamental for the profession, but also addresses specific skills. The goal is to train an engineer with expertise in the areas of computer systems, information systems, industrial automation and information technology, advanced hardware and software architectures, control of processes and electronic systems. [+]

Masters in Computer Engineering. EDUCATIONAL OBJECTIVES The course provides skills considered fundamental for the profession, but also addresses specific skills. The goal is to train an engineer with expertise in the areas of computer systems, information systems, industrial automation and information technology, advanced hardware and software architectures, control of processes and electronic systems. Graduates will be able to use these skills in the design of computer systems and use of advanced information technologies for industrial automation. The curricula provided are: Networked Information Systems Industrial Informatics Mechatronics JOB OPPORTUNITIES Computer industries Industries for automation and robotics Businesses operating in the area of information systems and computer networks Service companies Industries with high use of tools and services. ADMISSION A Three-Year First level Degree or equivalent. ENTRY TESTS Individual interview. [-]

Máster Universitario En Sistemas Inteligentes

Jaume I University (Universitat Jaume I)
Campus Full time 1 year October 2017 Spain Castellón

La formación que proporciona el máster se enmarca en el ámbito de los sistemas inteligentes que involucran procesos de percepción, aprendizaje y decisión automática, manipulación [+]

La formación que proporciona el máster se enmarca en el ámbito de los sistemas inteligentes que involucran procesos de percepción, aprendizaje y decisión automática, manipulación robótica, almacenamiento y proceso de datos, información contextual, visualización y entornos interactivos. Los estudios estructuran los conocimientos y disciplinas que definen un perfil profesional con dos posibles intensificaciones: robótica de servicios o interacción avanzada y gestión del conocimiento. Robótica de servicio. La robótica está experimentando una nueva revolución que, según se prevé, se consolidará en los próximos años, tanto en el ámbito europeo como en el mundial: los robots salen de la industria tradicional (automoción, soldadura, pintura, ensamblaje) para ubicarse en las oficinas, los laboratorios y los hogares. Así, según prestigiosos estudios internacionales, se puede esperar un sólido crecimiento de las instalaciones de robots en todo el mundo entre los años 2006 y 2008. En España hay un margen de crecimiento aún mayor dada la baja densidad de robots (la mitad que, por ejemplo, en Alemania). Aunque el mercado tradicional de los robots, la industria de automoción, dé muestras de saturación, los avances tecnológicos de los últimos años han abierto nuevos nichos de aplicación en otros segmentos. El sector denominado «robótica de servicio» comprende aquellos robots que operan en entornos como: exploración; vigilancia, seguridad y rescate; aplicaciones médicas; construcción; limpieza y mantenimiento de instalaciones; uso doméstico y entretenimiento. Interacción avanzada y gestión del conocimiento. Basándose en las reflexiones que han dado lugar al último Plan nacional de innovación, investigación y desarrollo, y al VI programa marco de la Unión Europea, se han detectado líneas prioritarias con demanda a corto y medio plazo en la denominada sociedad de la información. Uno de los ámbitos con demanda es el de las llamadas tecnologías de la interacción y del conocimiento, que comprende los siguientes campos o líneas prioritarias: - Sistemas cognitivos, capaces de interpretar datos provenientes de acontecimientos del mundo real y/o procesos, principalmente flujos de información de sensores visuales y audio, para adquirir conocimiento del entorno, realizar sugerencias y comunicarse con los usuarios en términos comprensibles para los humanos, realizando tareas complejas relacionadas con ingeniería y ciencias cognitivas, inteligencia artificial, visión por ordenador y robótica, así como otras disciplinas relacionadas, como la teoría de la información, la neurociencia y la lingüística. - Interficies multimodales basadas en mecanismos de interacción entre el usuario y el sistema a través de interficies de uso natural y fácil para las personas, que se comunican inteligentemente a través de diferentes modalidades, como la visión, el habla, multi-lenguajes, las representaciones visuales, el tacto, etc. - Sistemas basados en semántica y dependientes del contexto, orientados a adquirir, organizar, personalizar, compartir y utilizar el conocimiento inmerso en el web y contenidos multimedia. Producción de contenidos inteligentes pioneros capaces de autodescribirse y adaptarse a las necesidades y contexto del usuario, proporcionando una interacción de forma natural entre el usuario y su entorno. Los profesionales e investigadores que completen el Máster en Sistemas Inteligentes contarán con una formación pluridisciplinaria en ámbitos pioneros de la computación, las comunicaciones y la integración de sistemas. Su perfil les permitirá abordar problemas donde converjan los sistemas físicos con el procesamiento de grandes volúmenes de información en tiempo real, en entornos plenamente conectados en red, desde la proximidad de dispositivos inalámbricos a la globalidad de Internet. Tipo de enseñanza Enseñanza presencial. Duración y calendario Duración: un curso académico (octubre 2014 / septiembre 2015). Docencia presencial: octubre 2014 / julio 2015. Créditos e importe 60 Créditos ECTS (European Credit Transfer System). Según tasas oficiales pendientes de publicar. Precio en el curso 2013/14: 46,20 €/crédito. [-]

Master Européen Informatique

INEAD
Online 2 years Open Enrollment Martinique (Fr.) Martinique Online Luxembourg Luxembourg Online Congo Congo ROC (Brazzaville) Online Reunion (Fr.) Reunion Online Canada Canada Online Niger Niger Online Mauritius Mauritius Online Lebanon Lebanon Online Senegal Senegal Online Morocco Morocco Online French Polynesia French Polynesia Online Côte d'Ivoire Cote d'Ivoire Online France France Online Tunisia Tunisia Online French Guiana French Guiana Online Belgium Belgium Online Algeria Algeria Online Guadeloupe (Fr.) Guadeloupe Online Switzerland Switzerland Online Democratic Republic of Congo Congo DRC (Zaire) Online + 37 more

Master Européen** délivré par la Fédération Européenne des Ecoles (FEDE) – Association régie par le droit suisse (CCS.art 60-79). Le Master Européen est un diplôme européen validé par l’IACBE (International Assembly for Collegiate Business Education) qui est un organisme d’accréditation américain. [+]

Masters in Computer Engineering. UNE FORMATION, DES OBJECTIFS Connaître les aspects géographiques, géopolitiques et économiques de l’Europe Apprendre l’administration des réseaux, la gestion de parc informatique, la sécurité des systèmes d’information et l’administration des systèmes d’exploitation Apprendre à développer des applications et créer des bases de données Maîtriser la programmation avancée, les systèmes temps réel et embarqués Savoir conduire un projet UN MÉTIER Responsable sécurité des systèmes d’information Chef de projets Consultant en système d’information Auditeur informatique Chef de projet pour le développement d’applications PROGRAMME Stages: Stage ou mission en entreprise de 6 à 12 semaines en 1ère année et 12 semaines en 2ème année Ou Alternance (nous consulter) Langue vivante : 1 langue obligatoire 1 langue supplémentaire en option INFORMATIONS PRATIQUES Conditions d'admission: Niveau II (bac+3) 180 crédits ECTS Sur dossier Examens: Plusieurs sessions par an, organisées dans des centres partenaires FEDE (France et monde) Niveau De Sortie : Bac +5 Informations Diplôme : Master Européen** délivré par la Fédération Européenne des Ecoles (FEDE) – Association régie par le droit suisse (CCS.art 60-79). Le Master Européen est un diplôme européen validé par l’IACBE (International Assembly for Collegiate Business Education) qui est un organisme d’accréditation américain. [-]

MSc Computational Science

University of Vienna
Campus Full time 2 years October 2017 Austria Vienna

The Master of Science degree programme, Computational Science, trains students to become experts in the computer-aided aspects of the natural sciences. This emerging and highly-demanded field is interdisciplinary, connecting computer science and mathematics with astronomy, biology, chemistry and physics. The programme focuses on computationally relevant aspects of research and data processing in each domain of science. [+]

Current natural science domain-specific problems are tackled by means of scientific and mathematical tools and translated into computer algorithms. Since only computational analysis allows in depth research of complex and highly interconnected systems, Computational Scientists employ "computer experiments" in order to investigate current issues, such as: cosmological models molecular medicine biological neural networks molecular dynamics drug development particle and quantum physics big data analysis and machine learning This interdisciplinary Master of Science degree programme stands out, due to the broad research areas in the MIN-fields (Mathematics, Informatics/computer science, Natural sciences – astronomy, biology, chemistry, physics). These are always discussed from a Computational Science viewpoint: Which research areas are being advanced by computer science? How is the advancement implemented and how can it be improved? Which areas of each natural science are computer-aided and need the supervision of experts? Students of Computational Science are prepared to address these questions and provide solutions as they are required to acquire the vocabulary of each domain of science due to the interdisciplinary structure of the programme. They learn to implement key concepts in practice through designing and conducting computer-aided research. The study program emphasizes: 1) Students from the various scientific domains are acquainted with the key concepts and topics of the other domain in the core programme. Thus, their knowledge base is brought to a common level, from which the implementation of computational aspects in the different natural sciences can be developed. 2) The shell programme enables students to focus on one natural science and integrate their computer programming skills to all MIN-fields via supplement modules. Computational Science nurtures lateral thinking of well-informed scientists with knowledge in computer science and mathematics across all natural sciences. The Computational Scientist offers comprehensive approaches and solutions and may act as competent mediators between experts in particular natural sciences. For more information, click here. [-]

Master in Computer Engineering

Mid Sweden University
Campus Full time 2 years September 2017 Sweden Sundsvall

Everything wants to be connected. Enter the programme and shape the new boundaries in computing. [+]

Masters in Computer Engineering. Everything wants to be connected. Enter the programme and shape the new boundaries in computing. The studies combine theoretical and practical components with a view to the hands on experience demanded in the computer industry, a significant portion of the programme is devoted to practical software and hardware design experiments and prototyping. Theoretical knowledge and engineering skills are acquired in Computer Systems and Communication Networks, and Distributed Systems and Machine Learning. The programme provides students with a broad foundation in information technology (IT), and an in-depth understanding of computer data communication and modern networking. It includes courses in distributed systems and algorithms, wireless networking, software development, data mining and visualization. The computer networks concentration courses provide students with a comprehensive understanding of network design and implementation, network performance analysis and management, network security, and the latest networking technology. The thesis project can be performed at a company, at a research facility or at the university. The programme is designed to empower students with extensive knowledge and hands-on experience to analyze, design, procure, manage, and implement cutting-edge computer networking solutions and technologies. ... [-]

Master in Computer and Telecommunication Systems Engineering

Mediterranea University of Reggio Calabria
Campus Full time 2 years October 2017 Italy Reggio Calabria

The objectives of the 2nd Cycle Degree Course (Master Degree) in Information Technologies for Telecommunications Engineering held at the University “Mediterranea” of Reggio Calabria concern the acquisition of skills and capabilities in the field of computer science, information technology and telecommunication systems... [+]

The objectives of the 2nd Cycle Degree Course (Master Degree) in Information Technologies for Telecommunications Engineering held at the University “Mediterranea” of Reggio Calabria concern the acquisition of skills and capabilities in the field of computer science, information technology and telecommunication systems. In particular, the emphasis is on designing and implementing systems and (multimedia) applications in complex network-based environments. This objective requires to deal with the distributed nature of information systems with attention towards all the aspects of software engineering included computer security , and also with aspects related to the underlying telecommunication problems. This leads to the identification of the two alternative curricula, namely (1) Wireless Networks and Systems and (2) Computer Networks and Applications, which can be chosen by students on the last semester of the course. Therefore, the main strength of the degree program is to mix various skills of Information and Communication Technologies in such a way that the study of computer science, computer networks , wireless systems , high-tech communication systems, trains professionals able to easily move across different technological areas of the information society , which is inherently interdisciplinary . Curriculum: Computer Networks and Applications First year Electromagnetic Fields II Environmental Data and Signals Processing Modern Physics for Engineers Web Engineering Information Security Mathematical Methods for Engineering and Queue Theory Multimedia Communication Systems Radio Mobile Systems Second year Enterprise Information Systems Antennas and radiopropagation in complex environments Advanced Personal Communication Systems Additional Educational Activities 12 ETCS chosen by the student (4 ECTS must belong to ING-INF/05) Database 2 Microwave Engineering Wireless Systems Planning Advanced Java Programming and Mobile Advanced topics in electromagnetics Graph theory Theory of Cryptography Final Dissertation Curriculum: Wireless Networks and Systems First year Electromagnetic Fields II Environmental Data and Signals Processing Modern Physics for Engineers Web Engineering Information Security Mathematical Methods for Engineering and Queue Theory Multimedia Communication Systems Radio Mobile Systems Second year Enterprise Information Systems Antennas and radiopropagation in complex environments Advanced Personal Communication Systems Additional Educational Activities 12 ETCS chosen by the student (4 ECTS must belong to either ING-INF/02 or ING-INF/03) Database 2 Microwave Engineering Wireless Systems Planning Advanced Java Programming and Mobile Advanced topics in electromagnetics Graph theory Theory of Cryptography Final Dissertation [-]

MEng in Computer Science

Northern Arizona University
Campus Full time August 2017 USA Flagstaff

This program assists students who wish to upgrade their current engineering expertise by delving into the contemporary and future-forward area of computer science. The plan features real-world relevancy and flexibility in course format and distance delivery. [+]

Masters in Computer Engineering. The MEng CS degree is a non-thesis program that focuses on building advanced computer science expertise through a project-based experience. Graduates with this degree possess advanced expertise and are well-qualified to be a leader in a variety of software development organizations. Students who are planning on further graduate study in a Ph.D. program may be interested in the thesis-based MSE CS program. This program assists students who wish to upgrade their current engineering expertise by delving into the contemporary and future-forward area of computer science. The plan features real-world relevancy and flexibility in course format and distance delivery. What Can I Do with a Master of Engineering in Computer Science? Computer scientists use algorithms and data structures to harness the incredible processing power of modern computers towards constructive ends. They write programs, the basic building blocks that form the computer world. They also create the databases, the "office" software, and the networking protocols at the core of today computing demands in business, science, and engineering. If this sounds like the career for you, we can help. Our program is intended to meet your educational needs as a practicing engineer. You will have the opportunity to enhance and/or develop the skills, knowledge, and understanding that are critical to today practicing engineers. Courses are offered through a variety of forms, including distance-delivery methods and flexible formats. Note: If you are interested in this advanced degree, you must apply and be accepted to the Master of Engineering program in addition to being admitted to the university. With further education, one of these paths is possible: Researcher Database analyst Engineering consultant Computer programmer University Requirements To receive a master’s degree at Northern Arizona University, you must complete a planned group of courses from one or more subject areas, consisting of at least 30 units of graduate-level courses. (Many master’s degree programs require more than 30 units.) You must additionally complete: All requirements for your specific academic plan(s). This may include a thesis. All graduate work with a cumulative grade point average of at least 3.0. All work toward the master’s degree must be completed within six consecutive years. The six years begins with the semester and year of admission to the program. In addition to University Requirements: Complete individual plan requirements. ADDITIONAL ADMISSION REQUIREMENTS Admission requirements over and above admission to NAU are required. NAU Graduate Online application is required for all programs. Details on admission requirements are included in the online application. Undergraduate degree from a regionally accredited institution Grade Point Average (GPA) of 3.00 (scale is 4.00 = "A"), or the equivalent. Admission to many graduate programs is on a competitive basis, and programs may have higher standards than those established by the Graduate College. Transcripts For details on graduate admission policies, please visit the Graduate Admissions Policy International applicants have additional admission requirements. Please see the International Graduate Admissions Policy Individual program admission requirements include: B.S. degree in Engineering or completion of prerequisite courses (see department website for details) GRE® revised General Test 3 letters of recommendation Personal statement or essay MASTER'S REQUIREMENTS Take the following 30 units: Applied Mathematics, in a topic relevant to your specific interests, such as Fourier transforms or statistical analysis (3 units) Engineering or Computer Science Management course offered through such colleges as Engineering or Business (3 units) Computer Science Electives, selected with your advisory committee’s approval to match your interests (18 units) This can include up to 3 units in a cross-disciplinary or otherwise related course. Practice-Oriented Project, facilitated and developed under your advisory committee’s guidance and focused on a real-world problem or theoretical issue with immediate relevance to current computer science practice (6 units) Accelerated Bachelor's/Master's Plan Option This program is available as an Accelerated Undergraduate/Graduate Plan. Accelerated Programs provide the opportunity for outstanding undergraduates working on their bachelor’s degree to simultaneously begin work on a master’s degree, which may allow them to complete both degrees in an accelerated manner by applying 6 units toward both degrees. Students must apply to the accelerated program and the master’s program by the application deadline, and meet all requirements as listed on the Accelerated Bachelor's/Master's Programs to be considered for admission. Admission to programs is competitive and qualified applicants may be denied because of limits on the number of students admitted each year. Be sure to speak with your advisor regarding your interest in Accelerated Programs. Be aware that some courses may have prerequisites that you must also take. For prerequisite information click on the course or see your advisor. Student Learning Outcomes The Master of Engineering is a non-thesis professional degree, based primarily on course work and/or on an engineering project designed with the guidance of a faculty advisor to address a need or problem specific to their engineering field of study (Civil, Environmental, Electrical, or Mechanical Engineering). This degree program is designed to provide a broad, practice-based education. Demonstrate the ability to apply graduate level critical thinking skills to formulate and solve advanced civil (electrical/environmental/mechanical) engineering problems. Acquires knowledge on advanced contemporary engineering topics and computational tools specific to civil (electrical/environmental/mechanical) engineering. Develops the ability to identify, formulate, and solve relevant advanced civil (electrical/environmental/mechanical) engineering problems. Develops the ability to synthesize, explain, verify, and justify solutions to complex civil (electrical/environmental/mechanical) engineering problems. Demonstrate the ability to, independently and creatively, design, plan, and conduct complex civil (electrical/environmental/mechanical) engineering projects; Assesses the state of the art in the field of study. Applies, independently and creatively, appropriate engineering theories and tools towards developing a viable solution for the project. Designs and conducts activities specific to the project. Demonstrate the ability to communicate effectively the results of a comprehensive research project through oral presentations and publications. Creates a report reflecting the integration of knowledge acquired through the project. Delivers an oral presentation to peers summarizing the work performed on the project and its outcomes. Synthesizes and presents the relevance of the engineering project in both technical and non-technical terms. [-]