Masters Program in Computer Science

Best 181 Master Programs in Computer Science 2017

Computer Science

A Masters degree is an academic degree awarded to individuals who successfully denote a higher level of expertise. There are two main types of Masters - taught and research.

There are several fields that make up the broader field of computer science. One of these fields is the computational complexity theory, which can be very abstract. Other fields, such as computer graphics, deal more with concrete and hands-on visuals.  

 

Master's in Computer Science

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Master in Artificial Intelligence and Distributed Computing

Universitatea De Vest Din Timisoara
Campus Full time September 2017 Romania Timisoara

The Faculty of Mathematics and Computer Science offers study programmes in mathematics and informatics for around 1200 students. The Department of Computer Science offers BSc study programmes in Informatics (in Romanian and in English) and Applied Informatics (in Romanian), MSc study programmes in Artificial Intelligence and Distributed Computing (in Romanian and in English), Software Engineering (in Romanian) and Applied Informatics in Science, Technology and Economics (in Romanian), PhD programmes in Cloud Computing, High Performance Computing, Artificial Intelligence, Automated Reasoning and Theoretical Computer Science which are also the main research directions of the department members. [+]

Masters in Computer Science. The Faculty of Mathematics and Computer Science offers study programmes in mathematics and informatics for around 1200 students. The Department of Computer Science offers BSc study programmes in Informatics (in Romanian and in English) and Applied Informatics (in Romanian), MSc study programmes in Artificial Intelligence and Distributed Computing (in Romanian and in English), Software Engineering (in Romanian) and Applied Informatics in Science, Technology and Economics (in Romanian), PhD programmes in Cloud Computing, High Performance Computing, Artificial Intelligence, Automated Reasoning and Theoretical Computer Science which are also the main research directions of the department members (for details see http://research.info.uvt.ro). The Artificial Intelligence and Distributed Computing Masters Programme taught in English aims to offer competences in designing intelligent systems with application in various scientific and technical fields and in using the most recent technologies in high performance computing and distributed computing. It is a two years programme organized in three semesters devoted to teaching and a fourth one focused on research activities and the MSc thesis preparation. The students have the opportunity to use the infrastructure of the High Performance Computing Lab (http://hpc.uvt.ro), participate to international research projects and to industrial projects conducted in collaboration with IT companies. Main course titles Distributed Systems Parallel Computing Systolic Algorithms Workflow Technologies Multi-agent systems Operational Research and Optimization Data Mining Term rewriting Metaheuristic Algorithms Advanced Logical and Functional Programming Distributed Methods and Technologies based on XML Automated Theorem Proving Data Structures and Algorithms in Parallel Computing Potential labour market positions following graduation The graduates can target positions in IT industry as distributed systems engineer, high performance computing software engineer, cloud platform developer, data scientist/engineer, machine learning engineer, analytics engineer. They can also choose a PhD path oriented toward cloud computing and/or machine learning, fields which are currently in high demand of specialists. The students interested in research can be involved in the projects conducted at the e-Austria Research Institute (http://www.ieat.ro) The HPC lab from the West University of Timisoara includes one of the most performant computing infrastructure in Romania. [-]

MicroMasters Programme in Artificial Intelligence (Columbia University)

edX MicroMasters Programs
Online Full time Part time 48  January 2017 USA Cambridge + 1 more

Earn a MicroMasters in Artificial Intelligence from Columbia University to launch your career in computer science and design the future. [+]

Average Length: 12 weeks per course Effort: 8-10 hours per week, per course Number Of Courses: 4 Courses in Program Subject: Engineering, Computer Science, Physics Institution: Columbia University Institution Offering Credit: Columbia University Language: English Video Transcripts: English Price (USD): $300 per course Earn a MicroMasters in Artificial Intelligence from Columbia University to launch your career in computer science and design the future. Gain expertise in one of the most fascinating and fastest growing areas of computer science through an innovative online program that covers fascinating and compelling topics in the field of Artificial Intelligence and its applications. This MicroMasters Program from Columbia University will give you a rigorous, advanced, professional, graduate-level foundation in Artificial Intelligence. The program represents 25% of the coursework toward a Masters degree in Computer Science at Columbia. Job Outlook Though Artificial Intelligence is one of the fastest-growing areas for high-tech professionals, there are too few qualified engineers, according to a recent Kiplinger report. Robotics and artificial intelligence will impact wide segments of daily life by 2025, with huge implications for a range of industries such as health care, transport and logistics, customer service, and home maintenance. (Pew Internet) The need for AI specialists exists in just about every field as companies seek to give computers the ability to think, learn, and adapt. (IEEE) Exciting and rewarding career opportunities as a Machine Learning Software Engineer, Deep Learning Specialist, Data Scientist, Automation Engineer, 3D Artist, Computer Vision Engineer, and many more! What You'll Learn: Solid understanding of the guiding principles of AI. Apply concepts of machine learning to real life problems and applications. Design and harness the power of Neural Networks. Broad applications of AI in fields of robotics, vision and physical simulation. MicroMasters Program Details How To Earn The MicroMasters Credential Complete, pass and earn a Verified Certificate in all four courses to receive your MicroMasters Credential. Learners who successfully earn the MicroMasters Credential are eligible to apply to the Master of Computer Science program at Columbia University. Take your Credential to the Next Level If a student applies to the Master of Computer Science program at Columbia and is accepted, the MicroMasters Credential will count toward 25% of the coursework required for graduation in the on campus program. Courses Artificial Intelligence (AI) Learn the fundamentals of Artificial Intelligence (AI), and apply them. Machine Learning Master the essentials of machine learning and algorithms to help improve learning from data without human intervention. Animation and CGI Motion Learn the science behind movie animation from the Director of Columbia’s Computer Graphics Group. Robotics Learn the core techniques for representing robots that perform physical tasks in the real world. 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 Technology

Technical University of Ostrava
Campus Full time September 2017 Czech Republic Ostrava

The Master’s course of Computer Science and Technology provides the students with an education designed to help them find employment mainly in the field of creation and administration of various extensive and complex software products, in the creation and administration of computational systems and computer networks, in the production of computers and their components, and finally, among others, in the fields of business and education. [+]

Masters in Computer Science. Faculty of Electrical Engineering and Computer Science Study Branch Computer Science and Technology Branch Profile The Master’s course of Computer Science and Technology provides the students with an education designed to help them find employment mainly in the field of creation and administration of various extensive and complex software products, in the creation and administration of computational systems and computer networks, in the production of computers and their components, and finally, among others, in the fields of business and education. Apart from the knowledge ensuring very good chances of employment in practice, the students are educated in relevant theoretical areas as well, which enables them to find employment in R&D as well as to continue their studies in the doctoral programme. Key Learning Outcomes - Knowledge In comparison with the Bachelor’s level, the Master’s knowledge of the preparation theoretical disciplines (e.g. mathematics, discrete mathematics, and theoretical informatics, logics) are deeper and broader. Moreover, the graduate is able to perform analyses. Also, there are more complex, theoretically demanding, or less frequent areas of informatics, such as the processing and analysis of data of various kinds, including multimedia data and very extensive data, systems implementing artificial intelligence, cognitive robots, systems of machine perception and recognition, computer modelling of various systems, designing of special (e.g. very powerful) computational systems. In the above mentioned areas, the graduate is capable of evaluation, and he/she also understands the elementary scientific methods used here. - Skills The graduates can design pieces of work of a large extent (e.g. software products, computation systems) as well as theoretically and technologically demanding pieces of work and can implement them as members or leaders of teams. They are able to choose the suitable procedure and technology for the solution. In non-standard situations they can modify the commonly used procedures appropriately. They can compare and evaluate various procedures. They can defend suggested solutions in a professional discussion. As a team member, the graduate can independently perform very demanding partial tasks. He/she can administer extensive and complex systems. The graduate can draw up extensive texts presenting complex ideas. - General competencies: When dealing with problems, the graduates can communicate with people, e.g. with other team members or with customers when specifying the tasks and handing over products. They can manage a problem-solving team, define the targets, determine strategies, choose alternative solutions, present and defend their opinions and chosen solutions, study technical literature, bear responsibility for their decisions and the work of the team, and educate themselves in the given branch as well as communicate with experts of the branch in a foreign language, especially English. Occupational Profiles of Graduates The graduates can find employment both as operating and managerial workers in various areas, such as in the creation and administration of various extensive and demanding software products, in creation and administration of extensive computational systems, in creation and administration of extensive computer networks, and in creation of software products for theoretically demanding computational procedures as well as in research, development, consulting and teaching activity within the branch. Admission Requirements Determined by Dean, may include entrance examination, specific courses taken during bachelor studies, other formal documents. Graduation requirement 120 ECTS Credits, Final state examination, Diploma thesis Course Structure Diagram with ECTS Credits 30 ECTS credit per semester. [-]

Master in Informatics, Electronics and Radio Engineering

National Research University
Campus Full time September 2017 Russia Moscow

National Research University “Moscow Power Engineering Institute” provides Master Degree in Informatics, Electronics and Radio Engineering according to Russian State Educational [+]

National Research University “Moscow Power Engineering Institute” provides Master Degree in Informatics, Electronics and Radio Engineering according to Russian State Educational Standard in the following directions: - Applied Mathematics and Informatics - Informatics and Computer Engineering - Control in Engineering Systems - Instrumentation - Electronics and Nano-Electronics - Radio Engineering WHY SHOULD YOU CHOOSE MPEI MPEI students have a chance to study at one of the most prestigious universities of Russia according to numerous rankings and surveys. For more than eighty years of history MPEI have trained a huge number of the qualified engineers, prominent scientists who were standing at the origins of many technical achievements, in particular, of laser creation. At MPEI the Nobel Prize winners A.D. Sakharov and P.A. Cherenkov worked in different periods. In the 20th century in the Special Design Bureau of MPEI, which possesses its own Center of Deep Space Communication, radio images of the Venus surface and a reverse side of the Moon were obtained for the first time. Among the most famous graduates of MPEI there are the ex-Chairman of the State Council of China Li Peng and the ex-President of Romania Ion Iliescu, Ministers of Engineering and heads of the engineering companies of many countries of the world. MPEI partners in science and education include about 140 foreign universities, and such well-known companies like ABB, Siemens, Schneider Electric, EPRI, Skoda, Samsung and others. Getting the unique training in any chosen field, MPEI graduates never have problems with subsequent employment and realize themselves in any chosen spheres. LANGUAGE OF EDUCATION Training in the field of Informatics and Computer Engineering is organized in English Medium. Training in the other fields is organized in Russian language. Those students who need to learn Russian are invited to MPEI Preliminary course which provides training of Russian language during 1 academic year. ACCOMMODATION CONDITIONS MPEI foreign students are provided with accommodation in MPEI hostel. The hostel under security surveillance has two-room blocks with a bathroom and a toilet in each block. Rooms are for two or three persons. There are also hostels of corridor type with double rooms. Rooms are equipped with furniture, bed linen is also included. On each floor of a hostel there is a common kitchen and a restroom. Internet connection can be provided for additional fee. In MPEI campus there are additional services like laundry, shops, repair offices, post-office, cultural centers, cafes and restaurants, etc. Accommodation fee is about 100 USD per month. INSURANCE All foreign students must have medical insurance for the whole period of education. MPEI works with insurance company which provides the most comprehensive insurance at a rate of 200 USD per year. [-]

Master in Computer Science

Vrije Universiteit Amsterdam
Campus Full time September 2017 Netherlands Amsterdam

The Master’s programme aims to provide you with the knowledge, experience and insights you need to become an autonomous professional in the field of c [+]

Master in Computer Science

 

The Master’s programme aims to provide you with the knowledge, experience and insights you need to become an autonomous professional in the field of computer science. You will learn a great deal about the technology behind computer systems, software, networking and online systems. The programme is designed to offer a solid basis for a career in the business world and also to prepare you for further education as a scientific researcher. There are several research groups within Vrije Universiteit Amsterdam where you will have the opportunity to continue your work as a scientific researcher. The Computer Science department has many connections with national and international companies, which can offer you a flying start to your career once you have completed your Master’s. Computer Science graduates are in high demand and many of our students find work in their chosen field of specialization.... [-]


Master's Programme in Embedded Sensor Systems

Mid Sweden University
Campus Full time September 2017 Sweden Sundsvall

Embedded Sensors can be found in all application domains: home/consumer electronics, medical electronics, vehicles, industrial, military and aviation and space. This Master Programme is design to provide the students with knowledge and understanding of technologies, method and tools for analysis and design of embedded sensors systems - both conceptually and in-depth. [+]

The courses in this master programme are designed to cover major aspect relating to design of embedded sensors systems such as sensing, processing, communication and energy supply with consideration for underlying technologies, design method and optimization, energy/power efficiency and measurement system. Programme students will participate with other international students in group- and individual-projects to acquire a deepened knowledge in a specific area through individual projects. Entry requirements Degree of Bachelor, Degree of Bachelor of Science in Engineering (at least 180 Credits), or equivalent, in Electrical Engineering/Electronics, Computer Engineering, Physics or Mathematics, with at least 22.5 Credits (22.5 ECTS) in Mathematics/Applied Mathematics and at least 15 Credits (15 ECTS) in Electronics Engineering. English course 6/English course B from Swedish Upper Secondary School (Gymnasium) or the equivalent. Title of qualification Degree of Master of Arts/Science (120 credits) Masterexamen med huvudområdet elektronik, translated into Degree of Master of Science (120 credits) with a major in Electronics or Teknologie masterexamen med huvudområdet elektronik, also translated into Degree of Master of Science (120 credits) with a major in Electronics, if the student has former studies of at least 30 credits in the subject of Mathematics. After the program After having completed the programme you will be able to work with research and development at high-tech companies specialising on for example telecommunication, multimedia and industrial electronics systems. Work experience contact We consider it important for business development and education to be closely linked. The programme is developed together with the industry based on their needs; this is why your project assignments have their starting point in problems identified by the companies or research institutes we are collaborating with. [-]

MSc in IT Project Management

Warsaw School Of Computer Science
Campus Full time October 2017 Poland Warsaw

The Master of Science in IT Project Management program offers students knowledge and skills needed to solve real-world IT project management problems. Project management is the discipline of organizing, securing and managing resources so as to complete the project within the defined scope, time, cost and quality constraints within acceptable levels of risk. [+]

Masters in Computer Science. The Master of Science in IT Project Management program offers students knowledge and skills needed to solve real-world IT project management problems. Project management is the discipline of organizing, securing and managing resources so as to complete the project within the defined scope, time, cost and quality constraints within acceptable levels of risk. The Master of Science in Project Management program, along with a valuable academic qualification, provides students with the professional expertise needed to plan and execute a range of IT projects and to avoid typical pitfalls of missed deadlines and mismanaged resources. Additionally, the program enables students to gain experience in currently-available project management methodologies, and introduces new developments regarding management decision support tools like simulation and artificial intelligence techniques. Because of evolving character of the discipline students are taught concepts and skills required to develop new, or enhance existing, procedures to solve project management problems. The program consists of six mandatory courses and six elective courses which are listed below. Mandatory courses: • IT System Modeling and Analysis • Advanced Software Engineering • Project Management (double module) • Project Management Methodologies • Simulation Models and Expert Systems Elective courses (students choose six of the following): • Advanced Database Systems • Data Mining • Programming Principles and Practice • Distributed Processing • Mobile Systems • Advanced Operating Systems • Computer Networks • Web Technologies • Applied Operations Research ADMISSION DOCUMENTS - The admitted student is required to submit to the Registration Office the following documents: Bachelor's / Master's diploma or its official duplicate issued by the university; Copy of the High School Diploma (original for request); Medical certificate stating there is no impediment to their taking up studies in the chosen area; A copy of health insurance for the duration of studies in Poland, including a copy of the insurance in case of illness or accident covering the full period of studies in Poland; Four passport-sized photos with the name put at the back side (pictures in a 35x45 mm format, on a bright background without the headgear) Proof of payment of the recruitment. Additionally - Foreigners should submit original Polish translation of documents mentioned above issued by the certified Polish translator; Legalization or an apostille diploma (made by Polish Embassy) ; A copy of the visa, residence card, passport or other document authorizing foreigners to stay on the territory of Poland (if visa procedure fails, the University returns the tuition fee to the applicant account). [-]

Master in Cognitive Science and Artificial Intelligence

Tilburg University
Campus Full time January 2017 Netherlands Tilburg

The Master's track in Cognitive Science and Artificial Intelligence provides you with a deep understanding of human cognition and communication, as well as the creative and technical skills to apply this knowledge in Artificial Intelligence solutions and applications. [+]

Master in Cognitive Science and Artificial Intelligence The Master's track in Cognitive Science and Artificial Intelligence provides you with a deep understanding of human cognition and communication, as well as the creative and technical skills to apply this knowledge in Artificial Intelligence solutions and applications. Become an expert in the application of Artificial Intelligence in human cognition and communication

Are you interested in applications of Artificial Intelligence in communication techniques? Are you triggered by the question of how human reasoning can be represented in computer systems? Would you like to work for a company like Google or Philips? Then our interdisciplinary Master’s track Cognitive Science and Artificial Intelligence is your right choice! The CSAI program draws on breakthrough discoveries and insights in the two closely related scientific disciplines Cognitive Science and Artificial Intelligence. Cognitive Science is the study of human reasoning, emotions, language, perception, attention, and memory. Artificial Intelligence is the study and design of computers and software that are capable of intelligent behavior. Why Cognitive Science and Artificial Intelligence in Tilburg? Study and design at the intersection of Artificial Intelligence software and human cognition and communication Gain a deep understanding of Artificial Intelligence: the study and design of computers and software that are capable of intelligent behavior - drawing inspiration and applications from cognitive science: the study of thought, learning and mental organization concerning different types of psychological processes; such as those involved in attention, decision making, language use, memory and perception. Develop in a field that is growing, driven by the fast datafication of our everyday lives and by the implementation of AI based solutions in the context of online services, social media and business communication. Experience creative learning, employ cutting-edge techniques in the area of virtual and augmented reality, and make use of data-driven methods like data mining In the DAF Technology Lab you can employ virtual and augmented reality applications and gain experience in persuasive technology and sensing technology. Collaborate and elaborate on ideas and knowledge with fellow students, lecturers, artists and industrial partners during Creative Coding meetings. And make use of the most recent data-driven methods in digital content analysis, such as data mining, data visualization and online data collection. Experience with these techniques helps you to create an attractive professional profile for the job market. The Master's track Cognitive Science and Artificial Intelligence in short Specialization of Communication and Information Sciences Language: English Start: End of August and end of January (as of August 2017) Duration: 1 year (60 ECTS) Title: Master of Science (MSc) Best preparatory Bachelor's: Bachelor's in Communication Sciences Pre-Master's: Available in English After graduation: Intelligent Software Developer; Web Analyst; Social Media Analyst; Data Journalist; Social Robot Developer; Web Data Entrepreneur; E-Health and Healthcare Quality Analyst Career prospects Cognitive Science and Artificial Intelligence Profound knowledge of human cognition and communication, and the creative and technical skills to develop artificial intelligence solutions Organizations are very interested in graduates with both knowledge in the area of human cognition and communication, as well as the creative and innovative skills to design artificial intelligence solutions based upon it. Work areas and career prospects Graduates will be able to contribute to advancements in working fields like artificial intelligence and robotics, data science, data mining, knowledge technology and decision support systems. Examples of jobs / positions: Intelligent Software Developer Web Analyst Social Media Analyst Data Journalist Social Robot Developer Web Data Entrepreneur E-Health and Healthcare Quality Analyst [-]

Master in Applied Informatics

Vytautas Magnus University
Campus Full time August 2017 Lithuania Kaunas

Programme is oriented towards today’s and tomorrow’s application domains, covering data retrieval, robotics, artificial intelligence, neural networks, data visualisation, distributed and [+]

Masters in Computer Science. Unique Features Programme is oriented towards today’s and tomorrow’s application domains, covering data retrieval, robotics, artificial intelligence, neural networks, data visualisation, distributed and cloud computing. Competencies Acquired - Knowledge and understanding of data mining techniques and their applicability in different domains. - Knowledge and understanding of the design and implementation of intelligent and adaptive systems. - Knowledge of professional development of commercial and social IT products using modern computer platforms, and estimation of their demand, impact and relevance to users, enterprises or organizations. - Ability to perform interdisciplinary R&D in data mining and data analysis field, apply research results in practical applications. - Ability to perform interdisciplinary R&D in natural language processing and information retrieval field, apply research results in practical applications. - Ability to perform interdisciplinary R&D in systems analysis, modelling, identification and control field, apply research results in practical applications. - Ability to apply data mining techniques for the analysis of diverse data (sound, ECG, EEG). - Ability to analyze, formalize and model systems and processes of different complexity. - Ability to apply Natural Language Processing techniques. - Ability to apply parallel programming skills for the development of concurrent distributed and multi-core/-processor systems. - Ability to design multiplatform services and applications, integrating intelligent and adaptive technologies. - Ability to clearly and convincingly present problems and suggested solutions to experts and non-experts, using ground knowledge, reasoning, relevant presentation tools and methods. - Ability to professionally communicate and collaborate in distributed IT projects. - Ability to critically analyse IT projects and their influence to business, culture and society context. Career Opportunities Graduates of Applied Informatics will be able to work as programmers, software architects, analysts, consultants, project managers, department managers in different organizations, state institutions and business units; as researchers, scientific workers, assistants and lectors in science and education institutions. Graduates will be able to establish their own information technology business companies. Graduates of Applied Informatics may continue studies in PhD studies in informatics (Computer Science) or Computer Engineering. [-]

Master in Energy Informatics

University of Applied Sciences Upper Austria
Campus Full time October 2017 Austria Hagenberg

Energy is the underlying heartbeat of the global economy – a critical factor in the production of nearly all goods and services in the modern world. Clearly, given the critical role of energy, the driving imperatives in any economy are ensuring security of supply, maintaining competitiveness and overseeing the transition to a low-carbon future... [+]

Master in Energy Informatics Energy is the underlying heartbeat of the global economy – a critical factor in the production of nearly all goods and services in the modern world. Clearly, given the critical role of energy, the driving imperatives in any economy are ensuring security of supply, maintaining competitiveness and overseeing the transition to a low-carbon future. Key requirements in this respect are the strategic management of supply and improving its overall generation and distribution. Impacting on these challenging goals will be a variety of factors, including advances in renewables, e-mobility and green technologies, to name only a few. Managing this changing environment is no easy task. That will require intelligent IT solutions and therefore well-educated IT experts able to design and/or operate future smart grids, smart city infrastructures and enhanced energy supply systems. Energy Informatics (ENI) is the application of information technologies to this highly demanding field. Information Degree: Master of Science in Engineering (MSc) Duration: 4 semesters (120 ECTS) Annual intake: 20 Mode of study: full-time Admission requirements: Completed Master’s or Bachelor’s degree with IT strand worth a minimum of 60 ECTS points, or a similar qualification. Sound knowledge of English. Language of tuition: English Fees: No tuition fees Focus of studies This Master’s degree programme Energy Informatics (ENI) provides technical, business and legal expertise for the development of future energy systems, especially in the areas of: International Energy Makets and Energy Law Processes and Process Modelling International Project Management Systems Engineering Energy generation, distribution and storage (renewable energy, energy storage, charging stations, buildings, lighting, etc.) Field Components (meters, load control, gateways ...) Software Systems (SCADA, Meter Data Management (MDM), Head End Systems (HES), Device Data Management (DDM), Energy Data Management (EDM), Geographic Information Systems (GIS) etc.) Cloud Computing, Big Data IT Security Communication Technology (Radio Frequency / Powerline) Home and Building Automation Electromobility Additional interdisciplinary elective courses and seminars are also available; they vary from semester to semester. Curriculum The curriculum of the Master's degree programme Energy Informatics (ENI) is structured in a way that allows for giving a comprehensive overview on almost all of the relevant aspects in the smart energy domain. Furthermore, it allows for individual specialization by identifying specific topics the student is interested in. Technical competences like smart grid field components and home and building automation as well as interdisciplinary competences like process modelling and international energy markets and energy laws are provided by the highly forward-looking master's degree programme. In addtition students of the Master's degree programme Energy Informatics can also attend courses being offered by other Master's degree programmes. The interest areas have to be chosen in the context of the project and research topics being defined together with the academic advisor that has been assigned to the student. Practice-oriented Degree Programme As a University of Applied Sciences, we cooperate closely with the local industry and companies within the region, as well as with various international ones. These connections enable you to develop highly sought-after skills, as you will gain practical, hands-on experience which ultimately increases your level of employability. Further interdisciplinary and applied research projects will allow you to strengthen relationships with the local industry and international companies throughout your studies. Career profile The Energy & Climate Package and the Energy Efficiency Directives released by the European Commission in 2007 and 2012, respectively, clearly state that the main tools for building a progressively lower carbon economy are energy efficiency, investment in renewables and new technologies, as well as better interconnectivity between energy markets. These strategic goals will all require a large pool of IT expertise. In-depth technical knowledge in Energy Informatics equips our students with the proactive qualities that underpin leadership/management positions, and can lead to high-flying careers. Energy Informatics graduates will not only work at energy suppliers and network operators, but also in associated sectors. Even energy-intensive industries such as the automotive industry and metal processing companies can benefit from their expertise. Other fields include the conception, planning and implementation of IT systems for smart grids, smart cities, e-mobility and industrial plants. You will be working in a highly dynamic field with excellent career prospects. [-]

Master in Computer Science

Cornell Tech
Campus Full time September 2017 USA Chelsea

The technology field is increasingly fast-paced and entrepreneurial, and the most successful developers and programers are the ones who understand how technology turns into product. Our CS masters degree will give you that understanding. [+]

Masters in Computer Science. Master in Computer Science Technology exists to meet human needs and solve human problems. And today's technology-driven start-ups need engineers and computer scientists who also understand the business side of bringing innovative solutions to market. Cornell Tech's Master in Computer Science will give students the technical skills needed to develop cutting edge solutions while exposing them to entrepreneurship and product management. Learn Through Cross-Disciplinary Collaboration No matter where you apply your computer science and engineering skills, you'll most likely be working in collaboration with product and project managers, sales and marketing executives, even lawyers. Your success will depend on your ability to speak their language, to see how your technological expertise fits into the greater whole of the company, and to draw inspiration from every part of the business. In Cornell Tech's Master in Computer Science program, you'll not only get a rock solid technical education, you'll learn side-by-side with business and law students as well as other technology students. You'll work together in teams to develop your own business in the Startup Studio and develop innovative solutions for real business clients as part of your Company Challenge in Product Studio. In the process, you'll develop the kind of business savvy and communication skills—as well as peerless technical know-how—that have made previous graduates prime recruiting targets of companies like Google, Facebook, and numerous startups. Who Should Apply? You should apply to Cornell Tech's Master in Computer Science if you have an academic background in computer science or a related technical field, a strong entrepreneurial streak, and a passion to lead in the tech industry. If you do not have a technical academic background, you should have taken courses in software engineering and linear algebra and have working knowledge of data structures and algorithms. A Master of Engineering in Computer Science is also offered on Cornell's Ithaca campus with more opportunities for elective courses than Cornell Tech’s entrepreneurship and product development focused studio curriculum. Learn more. Topics Covered Machine Learning Data Science Computer Security & Privacy Computer Vision NLP HCI Systems (Computer) FEATURED COURSE Applied Machine Learning Credits 3.00 This course will help students learn and apply key concepts of modeling, analysis and validation from Machine Learning, Data Mining and Signal Processing to analyze and extract meaning from data. Students will implement algorithms and perform experiments on images, text, audio and mobile sensor measurements. They will also gain a working knowledge of supervised and unsupervised techniques including classification, regression, clustering, feature selection, association rule mining and dimensionality reduction. Careers in the Field Software Developer Product Manager Data Scientist Startup Founder or CTO Curriculum The Master in Computer Science curriculum includes a variety of rigorous courses that will give you the the skills you need to develop digitally enabled solutions to emerging business challenges and human needs. In an educational innovation unique to Cornell Tech, you'll also participate in an immersive Studio experience, in which you'll hone your team-building and leadership skills while developing a new product idea in response to the strategic needs of a real organization and create your own startup. What Your Schedule Might Look Like In the fall you’ll take Startup Systems Engineering and technical electives like Applied Machine Learning, Security & Privacy in the Wild, and Physical computing. In the afternoons you’ll work on team-based projects in Product Studio and Startup Ideas and learn firsthand from industry leaders in Conversations in the Studio. In the spring you’ll take technical electives like Data Science in the Wild, Natural Language Processing, HCI & Design or business electives like Design Thinking and Disruptive Tech. In the afternoons, you’ll pursue team-based projects in Startup Studio and Product Management. MEng Application Timeline Cornell Tech offers three application rounds. Applicants are encouraged to submit their application when ready. We will consider applicants that apply in each application round. We review applications as we receive them. The 2016-2017 application deadlines for Computer Science are as follows: Round 1 - October 3, 2016 Round 2 - January 20, 2017* Round 3 - March 3, 2017 *Scholarship: To be considered for a merit-based scholarship, applicants are strongly encouraged to apply by the January 20th Round 2 application deadline. ** Complete applications received by April 10, 2017 will still be given full consideration for admission, capacity permitting; but applicants are encouraged to submit their applications as early as possible.Submitting applications early ensures early response. Application Requirements To be considered, all applicants must provide the following in their online application: Résumé You must submit a current résumé along with your application. With the use of LinkedIn, you will have the option to auto-populate the employment and education information listed within your online professional profile. Please note, any information that is auto-populated from LinkedIn can be edited. Personal Statement Here at Cornell Tech, you will be part of an environment where creativity, technical depth and leadership share seats at the table. We value expressions of who you are and what you add to this formula. Please submit a one- to two-page statement that describes your interest in this program at Cornell Tech. Your submission should highlight personal experiences that demonstrate your creativity, leadership and technical abilities. In particular, feel free to elaborate on technical projects you have completed, their creative and technical aspects; any entrepreneurial or leadership experiences; your professional career goals; the benefit you envision being part of the tech ecosystem in New York City; and, why this program is the one for you. Two Recommendations Recommenders should be faculty members or other individuals who know the applicants professionally and have seen them play a major role on substantial projects. Recommendations must be submitted online. GRE The GRE is required for admission to Cornell Tech. All official test scores should be reported directly to Cornell University. Students who have received (or will have received) a Bachelor degree from Cornell University are exempt from the GRE requirement for the Master of Engineering program. The GRE institution code for Cornell is 2098. Please be consistent in the spelling of your name on both your application and test score report. Transcripts Transcripts from each previously-attended college or university are required and must be uploaded online with the application. Admitted students will be required to submit an official transcript directly to Cornell University Graduate School prior to matriculation. Application Fee A nonrefundable application fee of $95 must be submitted with the online application. International Applicants Transcripts In addition to the aforementioned program requirements, international applicants must provide a certified English translation of transcripts if the original language is not English. Successful international applicants will have received a baccalaureate degree from a college or university of recognized standing. TOEFL Applicants must also demonstrate proficiency in the English language by taking the Test of English as a Foreign Language (TOEFL). Official TOEFL scores must be sent to the Cornell University Graduate School. The institution code is #2098. Cornell’s official minimum sub-scores for each element of the TOEFL are as follows: Writing: 20 Reading 20 Listening 15 Speaking 22 The TOEFL requirement may be waived if the applicant meets at least one of these criteria: Is a native citizen of the United States, Australia, Canada (except Quebec), Ireland, New Zealand or the United Kingdom. Has studied in full-time status for at least two academic years within the last five years in the United States, Australia, Ireland, New Zealand, the United Kingdom, or with English language instruction in Canada or South Africa. You must submit a transcript that shows you have attended college in one of these approved locations. [-]

Master of Technology in Computer Science and Engineering

K L University
Campus Full time July 2017 India Guntur

To make the students achieve a level of competency, cognition and knowledge in the acquisition of theoretical foundations in the stated specializations related to Computer Science and Engineering at post graduate level [+]

Program Educational Objectives To make the students achieve a level of competency, cognition and knowledge in the acquisition of theoretical foundations in the stated specializations related to Computer Science and Engineering at post graduate level Must be able to conduct research and undertake development in the focused and emerging areas and domains shortlisted for the discipline - Computer Science and Engineering Specify, design, develop, prototype and test the applications that are related to the domains finalized for the program Be able to achieve hands-on practice in using different type of tools which are related to theoretical aspects covered in the program, and be able to conduct research, and undertake project development using the tools. Understand and practice professional ethics Recognize professional and personal responsibility to the community and undertake all the activities that benefit the society Pursue lifelong learning as a means of enhancing knowledge and skills necessary to contribute to the betterments of profession. Must learn to work in teams especially for undertaking project execution Program Outcomes Apply knowledge, concepts, methods, and algorithms, techniques in implementing solutions to the problems that are related to the domain areas that are shortlisted for the discipline Computer Science and Engineering. Identify, formulate, research literature and find solutions to the problems and critically evaluate the solutions to the problems that are related to the fields of specialization shortlisted for the discipline “Computer Science and Engineering” Specify, design and develop solutions for complex engineering problems related to specialisation areas and domains shortlisted for the program Conduct experimentation using different types of tools, that help analyzing, designing evaluating and testing applications related to specialization areas Be able to innovative and incubate the research findings through development of pilots and be able to promote the commercialization by interacting with ecosystem in association with the faculty specializing in similar areas. Function effectively as an individual and as a team member to design and develop applications, conduct research and find solutions to the burning problems. Demonstrate the understanding of the societal, health, safety, legal and cultural issues through incorporating and implementing relevant engineering practices during project and LAB execution. Understand and commit to professional ethics through adaptation of norms and standards Be able to bring in the societal issues such as energy minimization, pollution elimination etc., into the engineering solutions designed for solving complex problems Demonstrate knowledge and understanding of management and business practices that are related to the field of specialization [-]

Master in Computer Science and Engineering

University of Oulu
Campus Full time September 2017 Finland Oulu

This research-oriented degree programme provides an exciting opportunity to study in a leading-edge research environment. It gives students the flexibility to choose between two themes: Computer Vision and Signal Processing, and Ubiquitous Computing. Students are strongly encouraged to work closely with research groups in the faculty that are international leaders in their fields. [+]

Masters in Computer Science. Master in Computer Science and Engineering This research-oriented degree programme provides an exciting opportunity to study in a leading-edge research environment. It gives students the flexibility to choose between two themes: Computer Vision and Signal Processing, and Ubiquitous Computing. Students are strongly encouraged to work closely with research groups in the faculty that are international leaders in their fields. Research-oriented programme with two themes The first theme, Computer Vision and Signal Processing, provides students a solid theoretical understanding and practical skills on digital information processing and analysis. This information can be, for example, image, video, or audio signals that are perceived from the environment and processed using various operations such as filtering, compression and classification. The students are introduced to the essentials of computer vision as well as image and signal processing methods and technologies. The second theme, Ubiquitous Computing, focuses on the next generation of interactive systems that place humans at the focus of the technological development. Adopting a multidisciplinary real-world approach, students have to spend a substantial amount of time working in group projects to develop a variety of systems ranging from interactive online services to games and mobile applications, with a strong focus on innovation and design. Students gain experience in conducting usability tests with human participants, conducting experiments to evaluate their systems, and applying an iterative design approach to develop and improve their systems. The programme is provided by the Faculty of Information Technology and Electrical Engineering, which hosts multiple world-class research groups. The department is renowned world-wide for its expertise in computer vision, and among its key results is the Local Binary Pattern (LBP) method that has become one of the most widely used texture operators in computer vision. Signal processing is another core area where the department has carried out leading edge research, for example, on energy-efficient architectures for embedded systems in close collaboration with many companies. Finally, the department has created a unique research environment for Ubiquitous Computing including multitouch wall-sized displays, smartphone sensing middleware and sensor networks; coupled with a strong experimental approach to developing interactive systems. Programme Outline Computer Science and Engineering is a full-time two-year (120 ECTS) international Master's degree programme. A more detailed description of the content can be found from the course structure diagram. Learning outcomes After completing the studies with a focus on Computer Vision and Signal Processing, the student can: Utilize basic methods in digital image and video processing, statistical pattern recognition, computer vision, and computer graphics for solving various application problems, Apply numerical methods such as optimization algorithms in formally defining and solving problems appearing in science and technology, Analyse and design digital signal processing systems, and implement algorithms, for example, to modern signal processors, Realize applications to the Internet using a modern software architectural style. After completing the studies with a focus on Ubiquitous Computing the student can: Utilize basic methods in statistical analysis, distributed systems, experimental design, and iterative design to specify, implement and evaluate interactive technologies, Develop instrumentation technologies to collect in-situ data on deployed interactive technologies and how they are actually used by human users, Has gained experience with a variety of interactive technologies ranging from multi-touch surfaces including video walls and smartphones, to multimodal input techniques including accelerometer-based sensing, Work in groups to tackle substantial long-term projects, present and promote their work, effectively communicate their findings in speech, and effectively write in academic style. Graduate Profile The programme will provide the graduates with the competence to continue as postgraduate students aiming for a doctoral degree, or in a wide variety of positions offered by research institutes and companies mainly operating in the field of information and communications technology (ICT). The graduates are most likely to be employed in research and development related positions, but also management positions fit into the profile. Programme Admissions General Academic Requirements and Language Requirements are same for all of the Master's programmes. Programme Specific Academic Requirements Bachelor’s degree in computer science, electrical engineering or relevant fields such as physics or applied mathematics. Those who will receive their degree after the deadline of the application, but before June 15 / July 31 2016 are eligible to apply. Application Documents Selection Process An interview is arranged to test the most qualified applicants. There will be 30 students selected to the Master's programme. If two or more applicants score the same number of points, their order shall be determined on the basis of the relevance and the level of the applicant's overall study record in the Bachelor's degree. Detailed Selection Criteria The applications are evaluated based on the following criteria: The level and the relevance of the applicant's overall study record in the Bachelor's degree and other studies. Good mathematical and programming skills are appreciated. The quality of the applicant's Motivation Letter* The quality of the applicant's Research Interest* The quality of the CV Reference letters Interview *Motivation Letter and Research Interest are included in the online application form. 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 [-]

Master in Information Technology

University of Information Technology and Management
Campus Full time October 2017 Poland Rzeszów

The Applied Computer Science faculty educates ICT specialists, and computer system designers and administrators at graduate level. A practical approach to teaching is reflected in practice-oriented courses. [+]

Master in Information TechnologyThe Applied Computer Science faculty educates ICT specialists, and computer system designers and administrators at graduate level. A practical approach to teaching is reflected in practice-oriented courses. As graduate you will be familiar with advanced topics of Computer Science, among others, Computational methods, Computer Modelling and Simulation, Computer System Engineering . You will have abilities and skills to support decision making related to ICT technologies.You can choose between two fields of study: • Computer Networks with Cisco courses, • Software engineering with Microsoft and Oracle courses. As a graduate of the computer network programme you will how to design, implement maintenance modern information and communication technologies and tools for managing and utilizing global networks, among others, in business. As a graduate of software engineering programme you will be specialist of modern techniques and tools for software development and maintenance.  Benefits to You• The study in English gives you a better chance for a career in IT and overcomes the boundaries opening global job market for you. • The program is adjusted to the job market – software engineers and computer network specialists are most wanted on job market • Authorized trainings:   - CCNA and CCNA Security or CCNP are included in study plan in Computer Networks programme,   - Microsoft and Oracle are included in study plan in Software Engineering programme. • Access to specialized laboratories – You acquire actual skills. • Students of this program achieve high results – see our students success stories. • There is an ability to take Cisco, Microsoft and Oracle extra courses.    Success storiesEvery year Cisco company organizes NetRider competition for Cisco Networking Academy students in which you can demonstrate your knowledge and practical skills in computer networks field. In 2012 our students participated in this competition and occupied top positions: 1 Neda Jalilvand, University of Information Technology and Management in Rzeszow 2 Reza Manouchehri Sarhadi, University of Information Technology and Management in Rzeszow...5 Vahid Ghafori, University of Information Technology and Management in Rzeszow6 Paweł Moroz, University of Information Technology and Management in Rzeszow These results confirm very high teaching quality and opportunities of IT study in UTIM.    Job opportunitiesAccording to job market analysis number of job positions for software engineers and network specialists is on the top, among others, in IT. Moreover, salary of these specialists is also one of the highest in IT. For example, salary of Network Manager is £45,090 per year in UK and Software Engineer salary is £43,020 per year... [-]


Master of Applied Computing

University of Windsor
Campus Full time 16  September 2017 Canada Windsor

The Master of Applied Computing is a course-based professional graduate program offered by the School of Computer Science will provide you with a solid foundation and knowledge of industry oriented practical aspects of Computer Science, preparing you to take up positions in the growing software industry in Canada and around the world. [+]

Masters in Computer Science. The Master of Applied Computing is a course-based professional graduate program offered by the School of Computer Science will provide you with a solid foundation and knowledge of industry oriented practical aspects of Computer Science, preparing you to take up positions in the growing software industry in Canada and around the world. The skills and knowledge gained from this program will allow you to develop a successful career in the growing software industry through practical projects, internships and in-class training. This program has been specifically designed to expose you to the latest technologies and developments in a number of high-demand fields. You will study and live in Canada for approximately 16 consecutive months while enrolled in 8 prescribed courses and one Project/Internship (2 course credit). Courses include not only Computer Science but also Business classes. These courses will provide you with the practical knowledge required to excel in the ever-growing Computer Software industry. Courses may include: Advanced Software Engineering Topics Advanced Database Topic Internet Applications and Distributed Systems Advanced Computing Concepts Advanced Systems Programming Networking and Data Security Finance in a Global Perspective Marketing Managing Employees Project/Internship Intakes: September and January Prior to the start of the academic program, you may be required to attend six weeks (July-August) of intensive English language training (English and Academic Preparation Program). This program is designed to develop your English language skills in an academic environment and learn more about Canadian culture. Some students may be exempt from the English language course if they demonstrate exceptional English language skills and have exceeded the admission requirements. [-]