Master in Computing

Top 58 Master's Programs in Computing 2017

Computing

Master-level studies involve specialized study in a field of research or an area of professional practice. Earning a master’s degree demonstrates a higher level of mastery of the subject. Earning a master’s degree can take anywhere from a year to three or four years. Before you can graduate, you usually must write and defend a thesis, a long paper that is the culmination of your specialized research.

The computing field covers a wide range of studies, including information systems, computer engineering, information technology, computer science and software engineering. Different computing disciplines may cover software and hardware system building and design, the creation of intelligent computers, information structuring and scientific research.

Master Program in Computing

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M.S. in Computer Science

University of San Francisco - College of Arts & Sciences
Campus Full time August 2017 USA San Francisco

The ever-changing world of software and computer science has always demanded more advanced training and education. [+]

Master in Computer ScienceThe ever-changing world of software and computer science has always demanded more advanced training and education.With the University of San Francisco's prime location in the heart of the San Francisco Bay Area and its proximity to Silicon Valley, USF graduate students enjoy an environment rich with the many innovations and opportunities of this world-renown region of technology. For these reasons and others, the number of students in the graduate program in Computer Science at the University of San Francisco has grown by 65% since 1999. USF also offers a three-year MSCS Bridge Program that provides a unique opportunity for students who are from non-Computer Science backgrounds to pursue an MS in Computer Science. In the first year, students take preparatory classes. The Master of Science in Computer Science (MSCS) provides students with a broad background in software development and other core disciplines of computer science. This core background serves as a sound foundation for CS graduate students as they develop a substantial software project - either as a research-driven or commercially sponsored project.Small classes and close interaction with full-time faculty are a hallmark of graduate education at USF. Along with the full-time teaching and research faculty, outside experts bring real-word computing experience to the classroom. In the Harney Science Center on the USF campus, a state-of-the-art computer and multimedia studio was constructed and endowed with a $2.5 million gift from a Computer Science alumnus. Students and faculty also maintain the W.M. Keck Computer Cluster (a Myrinet-connected network of 128 processors which provides students with on-site access to one of the most powerful computers at a liberal arts university).... [-]


MRes Computer Science

Xi'an Jiaotong-Liverpool University
Campus Full time 18  September 2017 China Suzhou

The MRes (Master of Research) in Computer Science programme is designed to develop students’ understanding of the research process and their ability to carry out research. [+]

Overview The MRes Computer Science programme is designed to develop your understanding of the research process. It is for graduates from a computer-related discipline who wish to investigate research as a possible career, or who wish to extend their knowledge of one particular facet of computing. This programme provides you with an MRes that allows you to focus on your desired specialism, whilst our international staff provide all necessary support. Graduates of this programme, as with all XJTLU masters degrees, earn a University of Liverpool degree that is recognised by the Chinese Ministry of Education. Knowledge and skills The MRes Computer Science programme will equip you with comprehensive knowledge and understanding of: • advanced theoretical fundamentals of current trends in computer science • state-of-the-art key research issues in specialised areas of computer science • techniques for project management and the design, implementation and evaluation of IT solutions. Modules You will complete four taught modules in the first semester, followed by a research project for a total duration of 18 months. The precise content of your research project will be discussed and decided with your project supervisor and is subject to approval. Core modules: • Research methods • Project management • Dissertation. Elective modules: • Cloud computing • Data mining and Big Data analytics • Interactive systems • Object-oriented programming. Additional learning activity modules Careers Graduates from this programme will find employment as research and development engineers, systems developers and project leaders in IT companies, or will go on to further studies as a PhD candidate. Fees RMB 90,000 for the entire 18 month full-time programme. University tuition fees cover the cost of your study with us. Entry requirements: academic background An undergraduate degree (UK 2:1 or equivalent) in a computer science-related discipline with suitable programming and programme design experience. English language requirements • IELTS: 6.0 (minimum of 5.0 in all sections) • TOEFL iBT: 80 [-]

Master in Data Science

Bologna Business School
Campus Full time 12  December 2017 Italy Bologna

The Master in Data Science is designed for recent graduates interested in management and data analysis and who would like to take on a role which is central to any business and its value creation. A Data Scientist has already become one of the most sought-after specialists in the professional world. [+]

Masters Degrees in Computing. The Master in Data Science is designed for recent graduates interested in management and data analysis and who would like to take on a role which is central to any business and its value creation. A Data Scientist has already become one of the most sought-after specialists in the professional world. The data business is becoming a key sector for the European economy, the development of products and services based on data and the analysis of data collected in companies, public entities or that are available on social networks. The aim being to obtain operational indications and to identify new business opportunities. Big Data is a big challenge of today’s world, but we are training professionals to understand and create value from this complex information. Companies, in fact, have both a need and an urgency to manage the acquisition, presentation, sharing, analysis and visualization of data. Data Scientist is defined by the Economist as “the most interesting job of the twenty-first century, combining the skills of an IT technician, statistician and storyteller to extract the golden nuggets hidden under the mountains of data.” The Master in Data Science offers 3 different types of skills: solid computer training, an understanding of the technological aspects and knowledge of business dynamics. This Master creates professionals with across-the-board skills who are able to integrate with the company’s management. The program concludes with a Field Laboratory Work and a company internship. THE MASTER IS AN INVESTMENT. THE HONOR LOAN IS THE WAY TO FUND IT. “PerTe Prestito Con Lode”, a long-term and low-interest honor loan, with no collateral required to cover the full amount of the tuition fee. STRUCTURE The Master in Data Science is a full-time program structured in 1,500 hours of learning activities over 12 months of study, divided into: 360 hours of lecturing, an estimated 540 hours of independent study, and 600 hours of internship. The structure of the Master is divided into two terms: First term: December 2017 – April 2018 Second term: April 2018 – July 2018 Internship: September 2018 – December 2018 The Master offers a series of pre-courses at the start of the academic schedule: Software programming (Python), the foundations of data and SQL, basics in descriptive and inferential statistics, explorative data analysis and the fundamentals of economics. Classroom participation is about 30 hours per week structured in order to allow time to work in groups, while not neglecting individual students focus and management of interpersonal relationships. LEARNING METHOD The educational sessions provide different learning methods, including lectures, simulations, discussions of case studies and presentations by companies, testimonials, and group work. The curriculum is completed with master lectures held by professionals from the worlds of business, academia and politics, with opportunities for discussion and interaction with the business world through case histories. CAREER DEVELOPMENT Building synergies with businesses is a priority and a distinguishing characteristic of all programs of Bologna Business School, including the Master in Data Science. The School is fully dedicated to preparing students for the job market and it accomplishes this through systematic career development, with an ongoing commitment to combine the best professional projects by students with the demands of businesses. The internship is an excellent springboard to the professional world, evidenced by the fact that six months after completing the full-time master at Bologna Business School, an average of 85% of alumni are working in a company. [-]

Professional Master's Degree in Data Analytics

Sabanci University
Campus Full time October 2017 Turkey İstanbul

Big data is paving the way to empower businesses to make better decisions: With the amount of digital data increasing at an enormous rate, rigorous research is carried out in an effort to extract value from the massive data sets, to turn them into smarter decisions for improving business results. The emerging field of Data Analytics holds the key to unleashing that potential. [+]

Big data is paving the way to empower businesses to make better decisions: With the amount of digital data increasing at an enormous rate, rigorous research is carried out in an effort to extract value from the massive data sets, to turn them into smarter decisions for improving business results. The emerging field of Data Analytics holds the key to unleashing that potential. Data Analytics is considered to be a relatively new field which integrates state-of-the-art computational and statistical techniques to extract business value from a rapidly expanding volume of data. Many consulting firms claim that Data Analytics will be one of the key skills of the 21st century. Most critical issue, however, is the shortage of analytical talent that could turn the high-volume data into useful information that will be used for better decision making. In a business world in which the gap between winners and losers is narrowing down, companies are increasingly turning to data analytics to gain a competitive advantage in productivity, profitability and sustainable manufacturing processes for better products and better services. To be able to do that, companies need trained workforce skilled in Data Analytics, who are equipped to manage, understand and model the data, interpret the outcome and communicate the results for business use. Professionals holding a degree in Data Analytics will be well positioned to help their organizations gain a competitive advantage in a data-driven world. This program is designed to help our participants develop the skill set needed for creating and maintaining the added competitive edge that innovative companies are trying to establish. Our curriculum will help you develop skills required for data-driven decision-making with a wide variety of courses such as: Programming, Data management and data processing, Data mining, Machine learning, Statistical models for data analysis, Optimization, Decision modeling, Exploratory data analysis and visualization, Social network analysis, Data privacy, security and forensic discovery, Information security law, Business communication, Project management, a capstone project and more. Admission Requirements Applications for non-thesis master’s programs are evaluated by the assigned Admission Jury. Suitable candidates are invited to a personal interview. Admissions are finalized by the approval of the related Graduate School Board upon the recommendation of the Jury and are announced to the applicants. Application periods can be found in the Academic Calendar of Sabanci University. Your registration will be completed upon the approval of Turkish Higher Education Council regarding the equivalence of the last graduated higher instution and the course of study. Program Structure Professional Master's Degree in Data Analytics is a 30-credit program that can be completed in one academic year. The courses are distributed across three consecutive semesters (Fall-Spring-Summer), each of which lasts 14 weeks. Students take 10 courses (excluding the Term Project) in total from various areas. The Term Project is a non-credit course. Who should apply Professional Master’s Degree in Data Analytics is designed for working professionals who are looking into developing their analytical skills with no interruption on participants’ careers. The expected participant profile: Graduates of disciplines with a solid quantitative background (e.g. computer science, engineering, mathematics, physics, statistics, economics and other fields with a quantitative focus), or All professionals who have ample work experience in a data-analytics-related area and are seeking in-depth training in Big Data Analysis. Skills Acquired Diagnose, understand, measure and evaluate data to enable better decision making within the organization. Define and apply appropriate methodologies for complex business problems. Interpret findings, present and communicate the results. Graduates can find work as data analysts, data managers, data modelers and data scientists in the financial institutions, healthcare industry, insurance industry, telecommunications industry, marketing and media firms, retail industry and government agencies. [-]

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 Degrees in Computing. 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. [-]

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. [-]

Master of Computer Science

Universiti Putra Malaysia
Campus Full time 1 - 3  January 2017 Malaysia Selangor

The Master of Computer Science is a 40 credits postgraduate programme by course work. It offers an opportunity for advanced studies and career development in the field of computer science. The objective of this programme is to produce graduates with new technology in the field of computer science. [+]

Masters Degrees in Computing. Master of Computer Science The Master of Science programme provides students with specialisation education in the various fields of computer science. This is achieved through a completion of academic course work in the major fields with an independent research project. A student pursuing a Master of Science programme may complete the programme after a minimum period of one year and a maximum period of three years. The Master of Computer Science is a 40 credits postgraduate programme by course work. It offers an opportunity for advanced studies and career development in the field of computer science. The objective of this programme is to produce graduates with new technology in the field of computer science. Specialisation Areas: Distributed Computing [-]

Master in Computer Science

Harbour.Space
Campus Full time Open Enrolment Spain Barcelona

The Master Degree Program in Computer Science </strong> is designed for those who desire to deepen their comprehension of all aspects of the computer sciences. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a Bachelor of Science in Computer Science. [+]

This program is taught in ENGLISH. The Master Degree Program in Computer Science is designed for those who desire to deepen their comprehension of all aspects of the computer sciences. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a Bachelor of Science in Computer Science. PROGRAM STRUCTURE 1 Year Students who begin the Master in Computer Science Degree already have a good foundation in 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 program also offers opportunity to learn the key soft skills for the professional world including technical project management, writing and presenting.First year students are expected to attend many of the talks and workshops offered by the university and being work on the capstone project. Modules Combinatorics and Graph Theory Graduate Algorithms and Data Structures Graduate Algebra Graduate Mathematical Logic Theory of Probability Mathematical Statistics Сomplexity Theory Object-Oriented Programming (C++) Python Practical Unix Java Programming Functional Programming Operating Systems Advanced Databases Networks Robotics Master's Machine Learning Statistical Data Analysis BIoinformatics Data Mining Technical Writing and Presenting Technical Project Management Leadership and Group Dynamics Introduction to Interaction Design Capstone Project-1 Seminars & Workshops-1 2 Year During the second year of the program students will primarily focus on learning key applications of the computer science as well as advanced methods in programming. A significant part of the year will be allocated to the completion of the capstone project Modules Automata Theory, Languages, and Computation Information Theory Discrete Optimization Nonlinear Optimization Cryptography Computational Geometry Parallel and Disrtibuted Computing Virtualization and Java VM Software Engineering Software Design Software Testing, Verification and Validation Compilers Big Data Analysis Data Visuailzation Mobile Application Development Computer Graphics Computer Vision Algorithms in Bioinformatics Spectral Graph Analysis and Data Science Applications Writing, Documentation, TeX, JavaDoc Information Technology Management Capstone Project-2 Seminars & Workshops-2 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 Alexander OmelchenkoDr.Sci, PhD, Computer Science, Department Chair, St.Petersburg Academic University Career Path Software Engineer Systems Architect Director of Development Chief Technology 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 [-]

Master in Cloud Computing and Services (CCS)

EIT Digital Master School
Campus Full time September 2017 Germany Berlin Netherlands Eindhoven Finland Espoo United Kingdom London France Paris Sweden Stockholm Italy Trento Hungary Budapest Spain Madrid + 16 more

The programme in Cloud Computing and Services focuses on a broad range of applications like electronic commerce, mobile services, online social networks, peer-to-peer systems and Web services. [+]

Masters Degrees in Computing. The programme in Cloud Computing and Services focuses on a broad range of applications like electronic commerce, mobile services, online social networks, peer-to-peer systems and Web services. What is common to all of these applications is that information sources and control are decentralised over the network and multiple data centres and their underlying systems become distributed, reconfigurable and adaptive. All this makes the process of developing distributed software systems significantly more complex than for centralised systems. Cloud Computing and Services will provide students with a system of knowledge both in formal foundations, technological platforms and practical skills in implementing distributed software applications. The programme will also provide an insight into current and future directions of the distributed software development. After completion of the study, students understand and know how to use large distributed systems. On top of this they are also capable of designing and constructing cloud computing systems and services on networking and computing infrastructures. The programme will offer six specialisations: (1) Mobile Services, (2) Cloud and Data Analytics, (3) Cloud Infrastructures, (4) Data Intensive Computing, (5) Distributed Information Management, (6) Distributed Data Processing. Programme During the first year, a similar set of courses are offered at the four involved entry points Aalto University, TU Berlin, University Rennes 1 and TU Delft. This includes distributed systems, advanced network technologies, service technologies and cloud programming models. In addition, some elective cours-es may be chosen to prepare for a specialisation. An important part of the programme are the Innovation and & Entrepreneurship (I&E) courses. The I&E basics course provides an introduction to business and management. The Business Development Lab will extend projects mainly in the areas of distributed system and cloud computing by a market survey, a business model generation process and a venture development exercise. We emphasize user driven innovation and holistic analysis of service, technology, organization and financial perspectives, as distributed systems in general and cloud computing in particular are disruptive for existing business models and almost always have a significant impact on the culture and social relations. Society-relevant themes will also be at the core of the summer schools, which will bring students from the different entry points together. Students participating in the CCS track will be offered an internship in a partner industry or research centre of the EIT Digital to work on a thesis project. Directly linked to the master thesis, there will be the I&E minor thesis that will specify the requirements, strategy and business plan for the selected master thesis project. The I&E thesis allows students to study topics including, but not limited to: Different models for cloud computing (IaaS; PaaS, SaaS) Peer-to-peer systems and environments Innovative service for mobile computing (location-based and context-aware services), Parallel and distributed systems Security and privacy for electronic commerce applications Linked open data and semantic web Multi-agent systems. Specialisations Specialisations are provided during the second year. The CCS programme offers 6 specialisations, each at a different location. To meet the requirements for geographic mobility, the chosen exit point needs to differ from the chosen entry point. Mobile Services at Aalto Cloud & Data Analytics at TU Berlin Cloud Infrastructures at University Rennes 1 Data Intensive Computing at KTH Distributed Information Management at Université Paris-Sud Distributed Data Processing at Delft University of Technology Specific Admission Requirements A B.Sc. degree in computer science, computer engineering or information systems, is required. Students should have basic competence in mathematics, theoretical foundations of CS, algorithms and data structures, software engineering and database systems, computer architectures, computer networks and operating systems. [-]

MSc in Computing Science

Radboud University
Campus Full time September 2017 Netherlands Nijmegen

This Master's Programme in Computing Science trains you to become a specialist who is able to find solutions to these problems. You will receive a thorough theoretical training and learn to think creatively. In this way you will be able to contribute to developing future techniques. [+]

Computer systems now penetrate virtually all facets of society and personal life in what is commonly referred to as ambient computing. But ensuring the safety, reliability and quality of these systems is a growing problem. This Master's Programme in Computing Science trains you to become a specialist who is able to find solutions to these problems. You will receive a thorough theoretical training and learn to think creatively. In this way you will be able to contribute to developing future techniques.

Experts in Computing Science

This programme is closely related to the research carried out within the Institute for Computing and Information Science (ICIS). You will be trained by top researchers and ICT experts. Research at ICIS centres on three themes: Model-based System Development, Digital Security and Intelligent Systems. Our research in these areas is leading the field internationally. ICIS researchers recently broke the Mifare Classic RFID chip that is used by millions, for instance, in the London Oyster card and the Dutch OV chip card. You choose a research group that fits your own interests and then become involved in its ongoing research. ... [-]

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 Degrees in Computing. 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 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 of Information Technology (Computing and Networking)

James Cook University Singapore
Campus Full time 16  March 2017 Singapore

The Computing and Networking major is designed for information technology and computer science graduates and recognised IT professionals who seek to further their knowledge and skills in advanced computing, programming, information systems and networking. [+]

Masters Degrees in Computing. In the expanding e-Business/e-Commerce industry, there is a growing global demand for graduates skilled with a mix of marketing, management, internet, multimedia, computing, networking, software technologies and business operation skills. Our Master of Information Technology program provides practical and relevant skills to allow graduates of different disciplines to move into the IT industry Students have an opportunity to specialise in Business Informatics, Computing and Networking or Interactive Technologies and Games Design. The Computing and Networking major is designed for information technology and computer science graduates and recognised IT professionals who seek to further their knowledge and skills in advanced computing, programming, information systems and networking. Our Master of Information Technology program is fully accredited by the Australian Computer Society at the ‘Professional Level’ (its highest level). As an IT student, you will be entitled to membership with two professional bodies: The Institute of Electrical and Electronics Engineers (IEEE) and the Singapore Computer Society (SCS). Subjects Foundation Subjects Internet Fundamentals Programming I Database Modelling or Collective Intelligence and Social Networks Data Mining or e-Strategic Management Core Subjects (All majors) ICT Advanced Project I ICT Project 2: Implementation and Commissioning Advanced E-Security Core Subjects (Major specific) Advanced Mobile Technology Advanced Data Communication Principles Advanced Data Mining and Knowledge Discovery Advanced Human Computer Interaction Advanced Algorithm Analysis Elective Subjects Students to choose 4 elective subjects Career outcomes Students study a core program that provides them with the qualifications needed to significantly enhance their IT career, or gain quality employment within the IT industry at a senior level. It is ideally suited to those who wish to pursue a career in the development and deployment of practical network systems. Professional Recognition As an IT student you are entitled to membership with two professional bodies: The Institute of Electrical and Electronics Engineers (IEEE) and the Singapore Computer Society (SCS). Tuition Fees Domestic* S$46,224 International S$47,936 *Fees apply to all Singapore residents (Singapore Citizens, Permanent Residents and all pass holders excluding Student's Pass).Note: All course fees include prevailing 7% Goods and Services Tax (GST) [-]

Erasmus Mundus Master's Degree In Advanced Robotics

Jaume I University (Universitat Jaume I)
Campus Full time September 2017 Spain Castellón

Erasmus Mundus Master's Degree in Advanced Robotics is designed to promote a high quality educational offer in the area of ​​advanced and intelligent robotics. After graduation students will have mastered the different areas of robotics (modeled [+]

Erasmus Mundus Master's Degree in Advanced Robotics is designed to promote a high quality educational offer in the area of ​​advanced and intelligent robotics. After graduation students will have mastered the different areas of robotics (Mathematical modeling, automatic, computer engineering, mechanical design) in order to be able to deal with robotic systems as a whole and not just concentrate on one particular area. Employment prospects for graduates are very good and that the proposed courses are relevant to today's high technology and because current promotions universities are insufficient to meet the demands of industry programs and research society. Students can approach the Masters as a professional degree, or join a subsequent PhD program. GOALS During the years 2008-2013 the Erasmus Mundus Master Degree in Advanced Robotics contributed to the achievement of the objectives of the Erasmus Mundus program in improving the quality of higher education in Europe, by promoting cooperation with third countries, the promotion of European quality offer in higher education, encouraging mobility of incoming graduate students and academics from third countries, to promote structured cooperation with institutions of higher education in third countries and improve the profile, visibility and accessibility of higher education European worldwide. For the coming years, our objectives are to achieve these overall objectives of Erasmus Mundus program, and have as specific objectives: 1- to develop a strong and sustainable program of international graduate robotics within teams of interdisciplinary and intersectoral research composed of 11 institutions higher education in Europe and Asia and major robotics companies; 2- provide industry, institutions and research teams, a new generation of engineers, researchers and system designers with a broad enough perspective to carry out the development of robotics and its integration into applications. We note that the number of courses Master Robotics in Europe is not sufficient to meet the need of industry positions and PhD. 3- capacity building research teams consortium by developing durable and reusable knowledge and know-how; 4- develop joint projects and co-tutoring stays in cooperation with leading robotics companies worldwide; 5- offer young graduates the opportunity to have an attractive job in a strategic domain. [-]

Master in High Performance Computing and Big Data Analytics

UNIVERSITATEA BABEȘ-BOLYAI
Campus Full time October 2017 Romania Cluj-Napoca

The master’s program aims at providing students with the appropriate tools for further doctoral studies and professional activity... [+]

Masters Degrees in Computing. The master’s program aims at providing students with the appropriate tools for further doctoral studies and professional activity. Programme objectives Acquisition of theoretical, applicative and practical knowledge in: - complex systems modelling based on mathematical concepts and methods, and on programming concepts and techniques. - programming and usage on/of computation systems, especially those of high performance, which are necessary for solving real life problems and for simulating complex problem solutions. - exploitation (data-analysis, knowledge-discovering) and visualization of „big data” for computation problems, statistical interpretations, decision processes, or for scientific instruments. - applicative scientific domains where high performance systems are used. - analysis and improvement of software processes. - professional modelling for team work as well as interdisciplinary approaches to research and development. Core courses - Programming Paradigms - Parallel and Distributed Operating Systems - Formal Modelling of Concurrency - Advanced Methods in Data Analysis - Functional parallel programming for big data analytics - Models in parallel programming - General Purpose GPU Programming - Workflow Systems - Resource-aware computing - Data Mining - Grid, Cluster and Cloud Computing - Knowledge Discovery in Wide Area Networks Admission requirements Bachelor degree in Computer Science, Computer Engineering, Computer Science in Economics Tuition fees Students coming from: - EU/EEA – 3000 RON / year - Non-EU countries – 3000 EURO / academic year [-]