Part time Master in Computer Science

Best Part time Master's 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.  

 

Part time Masters in Computer Science

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MRes Computer Science

Xi'an Jiaotong-Liverpool University
Campus 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. [+]

Best Part time Master Programs in Computer Science. 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 Sensor System Engineering (SSE)

Hanze University of Applied Sciences - Groningen, the Netherlands
Campus September 2017 Netherlands Groningen

This master prepares you for a bright future in the fascinating world of advanced sensor applications. A domain that is rapidly growing, providing all kinds of interesting prospects for you, ambitious engineers. Within the globally important domain of health, sensor applications will provide totally new ways to monitor, heal, treat and care for people. [+]

Sensor System Engineering: www.hanzegroningen.eu/msse Passionate about technology and engineering? ​​ Are you open minded, do you like to stretch boundaries to find out what is out there? Can you apply yourself, developing new ways to move the technology ahead, specifically in the health domain? Then take a moment to consider the opportunity to join us for one year to complete the Sensor System Engineering (SSE) honours master's programme.​​​ Programme overview General knowledge about sensor applications needed for any type of specialisation Specialised knowledge involving sensors in the health domain Honours content Master's thesis project (30 ECTS) General knowledge about sensor applications needed for any type of specialisation Linear algebra (4 ECTS): mathematics required for the next modules. Advanced data analysis (4 ECTS): integrating data coming from multiple complex sensors and to interpret this data correctly Modelling & simulation (4 ECTS): theory and tools required to model complex systems and to analyse and represent simulated data. Data centric architectures (4 ECTS): the architectural design of sensor systems at the level of of system architectures for big data applications and at the level of digital signal processing (DSP). Specialised knowledge involving sensors in the health domain Products and services in Health (4 ECTS): using real cases to learn the full design process of a health related sensor system. Sensor applications in Health (3 ECTS): exploration of sensor applications in biology, technology, diagnostics and application in health environments like hospital and home care. Honours content Professional skills (3 ECTS): learning to excel in the professional fi eld by developing essential professional, non-technical skills. Research & ethics (5 ECTS): learning necessary research skills as well as the ability to reflect on ethical issues. Community contribution (1 ECTS): forming a network for the students to help them solve particular problems in a multidisciplinary setting. Master's thesis project (30 ECTS) A six month research project in the domain of sensor technology and health in industry, a research institute or university department, resulting in a master's thesis. [-]

Master in Data Science

Bologna Business School
Campus 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. [+]

Best Part time Master Programs in Computer Science. 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. [-]

MEng in Computer Science

Northern Arizona University
Campus August 2017 USA Flagstaff

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

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

Master in Artificial Intelligence and Distributed Computing

Universitatea De Vest Din Timisoara
Campus 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. [+]

Best Part time Master Programs 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. [-]

Master's Programme in Embedded Sensor Systems

Mid Sweden University
Campus September 2017 Sweden Sundsvall

Embedded sensors can be found in home and consumer electronics, medical electronics, in vehicles, within industry, army and aviation, and even in space. The Master’s programme teaches you how to design embedded sensor systems and how to connect them to different products, programmes and apps and their features. The Master’s Programme in Embedded Sensor Systems was developed in cooperation with the industry and researchers and therefore, it responds to current and future market needs. [+]

Embedded sensors can be found in home and consumer electronics, medical electronics, in vehicles, within industry, army and aviation, and even in space. The Master’s programme teaches you how to design embedded sensor systems and how to connect them to different products, programmes and apps and their features. The Master’s Programme in Embedded Sensor Systems was developed in cooperation with the industry and researchers and therefore, it responds to current and future market needs. This programme will provide you with broad knowledge of the different technologies that form the construction basis of embedded sensor systems. You will also gain understanding of the methods and tools you need for analysis and construction, both on an overall level and in-depth. In addition, you will learn to put your theoretical knowledge to practical use by means of close cooperation with the industry, in which you work with some of the companies’ real research projects. During your studies you will learn everything from the construction and programming of embedded systems to the connection to other features. The programme covers all the important parts of the process, such as data collection, processing, communication and energy supply considering the underlying technologies; design method, optimization, energy/power efficiency and measurement system. Our students work in projects, both individually and in groups, to gain advanced knowledge in different areas. The programme is taught in English, which will increase your opportunities on the global job market. 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 completing this master you can choose to work as an employee in the industry or as a consultant – your qualifications will be sought after both in Sweden and on an international job market. 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. [-]

M.Sc. Computer Science – Data Analytics

National University of Ireland Galway College of Engineering & Informatics
Campus September 2017 Ireland Galway

Globally, there is a reported shortage of data analytics talent, particularly of individuals with the required deep [+]

Best Part time Master Programs in Computer Science. Big Challenges being addressed by this programme – motivation Globally, there is a reported shortage of data analytics talent, particularly of individuals with the required deep technical and analytical skills. (1) Accenture, Gartner and McKinsey have all identified Data Analytics as one of the fastest growing employment areas in computing and one most likely to make an impact in the future. The Irish Government’s policy is for Ireland to become a leading country in Europe for big data and analytics, which would result in 21,000 potential new employment opportunities in Ireland alone. (1) CNN has listed jobs in this area in their Top 10 best new jobs in America. 1) “Assessing the Demand for Big Data and Analytics Skills”, 2013-2020. Forfás Expert Group on Future Skills Needs, 2014. Programme objectives & purpose This is an advanced programme that provides Computing graduates with advanced knowledge and skills in the emerging growth area of Data Analytics. It includes advanced topics such as large-scale data analytics, information retrieval, data mining, natural language processing, and web data analytics. It also includes foundational modules in topics such as statistics and programming for data analytics. Students on the programme further deepen their knowledge of Data Analytics by working on a project either in conjunction with a research group or with an industry partner. Graduates will be excellently qualified to go into academic research or to pursue careers in industry in a wide range of areas. Opportunities include: - PhD-level research in NUI Galway, elsewhere in Ireland, or abroad - Multinational enterprises, in Galway and elsewhere, that provide services and solutions for analytics and big data; - Multinational enterprises whose businesses depend on analytics and big data technologies; - Innovative indigenous companies and leading-edge start-ups whose provide analytics solutions and products. What’s special about CoEI/National University Ireland Galway in this area: The MSc in Computer Science (Data Analytics) is being delivered by the Information Technology Discipline, in collaboration with the Insight Research Centre and with input from the School of Mathematics, Statistics and Applied Mathematics in NUI Galway - The Information Technology Discipline is NUI Galway’s Computer Science academic discipline, with a 25-year track record of education, research, and industry collaboration - The Insight research centre in NUI Galway is Europe’s largest research centre for Data Analytics - This programme opens the door for graduates for opportunities in PhD level research, careers in industry, or starting new ventures. Programme Structure 90 ECTS programme One full year in duration, beginning September and finishing August Comprises: - Foundational taught modules (20 ECTS) - Advanced taught modules (40 ECTS) - Research/Industry Project (30 ECTS). Programme Content Sample Modules - Statistics - Probability - Advanced Biomaterials - Linear Algebra - Digital Signal Processing - Programming for Data Analytics - Research Project Fundamentals - Open & Linked Data - Information Retrieval - Machine Learning & Data Mining - Learning for Information Retrieval - Tools & Techniques for Large Scale Data Analytics - Data Mining on the Web - Systems Modelling and Simulation - Case Studies in Data Analytics - Embedded Signal Analysis and Processing - Natural Language Processing - Data Visualisation Opportunity for number of Industrial & Research internships: Students enrolled on this programme will have an opportunity to apply for a one-year post-graduation internship in either a related industry or research group in Ireland. Scholarships   A number of scholarships are being made available by the College of Engineering and Informatics to non-EU students registered on these MSc programmes. Each scholarship will be valued at €2,500 and will be awarded to successful candidates based on the submission of a personal statement and CV to the College.    A number of industry sponsored Scholarships will also be available, each to the value of €2,500. Entry Requirements The M.Sc. is suitable for high-performing graduates of Computer Science and closely related degree programmes. Entry to the programme is open to individuals who have at least Second class honours, grade one in a Level 8 degree such as a B.Sc. in Computer Science or a BE in Computer Engineering, or another degree programme that is similar in content to the relevant undergraduate degrees offered by NUI Galway and is from a recognised university or third level college. How to apply Applications are made online via the Postgraduate Applications Centre (PAC). The PAC code for this program is GYE06. [-]

MicroMasters Programme in Artificial Intelligence (Columbia University)

edX MicroMasters Programs
Online Part time 48  January 2017 USA Cambridge

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. [-]

Graduate Diploma in Information Technology

EPITECH
Campus September 2017 France Paris

Epitech offers a 2-year Graduate-level curriculum in English, open to international students. The Epitech educational model is designed to help students learn how to apply their knowledge in practical situations instead of just learning theory. [+]

Best Part time Master Programs in Computer Science. Graduate Diploma in Information Technology: The Innovation Track Please note that students need a Bachelor level to apply to the Graduate program. Epitech offers a 2-year Graduate-level curriculum in English, open to international students, called Innovation Track. The aim of the program is to help our students reach a new level of expertise and build their own unique profile by staying in an innovative mindset and turn them into innovative experts able to create the digital world of tomorrow. The program lasts 2 years. Each student's first year is organized according to their profile, around "compulsory Core courses" and "chosen electives". Students will acquire both technical and methodological knowledge. During their second year, students will either specialize or diversify their knowledge according to their professional project. Epitech Innovative Projects (EIP) come to an end and students are ready to enter the job market. This year is the end of a cycle and serves as a stepping stone for the student's early career. The cycle allows for a large choice of electives per semester. These help provide students with new technical abilities and let them become professionals in various areas of expertise. Each student's curriculum is different and custom-built to promote diversity and let students be specialists in their field. A 6-months long internship, in a company or an incubator, takes place at the end of the curriculum. It serves as a unique springboard for students' career and allows to put their knowledge to work in real-life situations. 1st Semester 2nd Semester 3rd Semester 4th Semester SOFT SKILLS (20% - 4 weeks - 12 ECTS) SOFT SKILLS (20% - 4 weeks - 18 ECTS) SOFT SKILLS (50% - 10 weeks - 30 ECTS) INTERNSHIP (6 months - 30 ECTS) EIP (30% - 6 weeks - 9 ECTS) EIP (50% - 12 weeks - 12 ECTS) EIP (30% - 6 weeks - 9 ECTS) HARD SKILLS (50% - 10 weeks - [30 ; 50] ECTS) HARD SKILLS (30% - 6 weeks - [18 ; 30] ECTS HARD SKILLS (20% - 4 weeks - [12 ; 20] ECTS) CURRICULUM Core courses Network Web Service Design Database Algorithms and data structures Code quality System Administration Electives Hard skills : technical modules Bid Data Devops Data analysis Distributed systems design Advanced database architecture Artificial intelligence Cloud Devops Distributed systems design Microservices PaaS Web application Virtuality Artifical Intelligence Mobile Gaming Virtual Reality/Interactive Experiences User Experience/Design Digital Security Introduction to Digital Security Kernel Programming Systems Security Cryptography and Network Organisationnal Security Embedded Kernel Programming Mobile IOT Soft skills : Cross-functional modules Marketing/Strategy Strategic development Digital marketing Growth hacking Personal Development Shape yourself Professional efficiency Leadership Project management Planning ahead Agile Methodologies Scrum/Kanban Law/Finance/Accounting/.. General digital law & finance Financial planning/Business plan Fund raising/Incubation Product management Ideation/Innovation Design Thinking Lean startup This list is tentative and classes are subject to availability. [-]

Master of Computer Science

Universiti Putra Malaysia
Campus 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. [+]

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 of Engineering in Reliability Engineering

University of Maryland, A. James Clark School of Engineering
Online & Campus Combined Part time September 2017 USA College Park

Master of Engineering in Reliability [+]

Best Part time Master Programs in Computer Science. Admission Requirements: Full admission as a degree seeking student requires the following prerequisites: A bachelor's degree, GPA of 3.0 or better, in engineering or a closely related discipline; Computer Science, Physics, Applied Mathematics, or Physical Sciences from an accredited institution. Courses in mathematics (Calculus I, II, III, & Differential Equations) are required to be considered for admission. Further admissions requirements. Completed applications are reviewed and considered for admission on a case-by-case basis. [-]

Master in Computational Engineering

Vietnamese-German University
Campus September 2017 Vietnam Ho Chi Minh City

The Computational Engineering Master program prepares students in the theory and application of computer-based simulation techniques. [+]

Master in Computational Engineering

Computational Engineering (CompEng) is a full-time two-year (4-Semester) Master Program offered at VGU by the Ruhr-University Bochum. The language of instruction is English. An international program, open for students from all countries.

The Computational Engineering Master program prepares students in the theory and application of computer-based simulation techniques.

Simulation comes first - Computer-based simulation is an essential part in today's product development processes. Before building the actual product, engineers run extensive simulations in order to test their designs in a virtual environment. Let it be bridges spanning over wide rivers, medical devices saving lives or power plants providing the energy for all of us. None of these high-tech products of human ingenuity would exist without the predictions delivered by computer-based simulations.... [-]


Master in Innovative Software Systems: Design, Development & Applications

National University of Science and Technology MISiS
Campus October 2017 Russia Moscow

Two-year, full-time master's program in Innovative Software Systems: Design, Development & Applications. [+]

Best Part time Master Programs in Computer Science. The Master in Innovative Software Systems: Design, Development & Applications program offers systematic mathematical, programming, and economic training. After completing the program, our highly qualified Master's graduates will have acquired the skills to succeed at research, analytics or practical implementation, development and research of modern software, mathematical methods and models of objects, systems, processes, and technologies for computer vision applications in science, technology, medicine, and other industries (such as robotics, mobile systems in aeronautics, astronautics, for submarine installations, transport, etc.). Among the competitive advantages of this program is the opportunity to take a step forward and bridge active radar data with passive computer vision and the appropriate methods of object identification based on sparse and uncertain information, drawing on the latest scientific achievements of the faculty staff, the Institute for Systems Analysis of the Russian Academy of Sciences, and Cognitive Technologies. In addition to the classical image processing, optimization, pattern recognition methods, and information technology, this program unveils modern approaches to artificial intelligence and most recent scientific advances in cognitive technologies, significantly enhancing the capabilities of such systems. The curriculum is presented by leading experts of the Institute for Systems Analysis of the Russian Academy of Sciences, Cognitive Technologies and Moscow Institute of Physics and Technology. All instructors have high scientific potential and broad practical experience in the area. The staff of the Engineering Cybernetics Department provide a high-level instruction in mathematics and advanced computer training for Masters. Students from this department have repeatedly won IT competitions, national and international academic competitions in programming, and made the finals at the International Collegiate Programming Contest. Admission Admission to International Master’s Programs at MISiS is open to both Russian and international students. Given that all classes will be conducted in English, we recommend that nonnative speakers of English achieve a TOEFL score of at least 525 (paper based) or 200 (computer based) prior to admission. To apply for a two-year Master’s program at MISiS, the applicant must hold a Bachelor’s degree in a related field. Upon the completion of the program of study at MISiS, the applicant will receive a Russian State diploma and a European Diploma Supplement. Admission Deadline The deadline to submit the application for Fall 2017 is 10 May 2017. [-]

Master Library & Information Science,Digital Library & Information Services

University of Borås
Online & Campus Combined Part time August 2017 Sweden Borås

Digital Library and Information Services. Students will understand the significance of digital libraries in their own context, manage the transition of services to the digital sphere, and develop new digital services to satisfy the needs of their clientele. [+]

Master’s programme: Library and Information Science, Digital Library and Information Services

 

Would you like to work at the leading edge of information and library practice? Would you be interested in helping people to make sense of the cyberspace that is becoming so important in their work and lives? Do you want to have all the treasures of human knowledge, acquired through the ages, at your fingertips? This programme will help you to choose your mission and place in life. It offers exciting possibilities of finding the job of your dreams. Digital library and information services in many different sectors, from public and academic libraries to global business and children’s libraries are now seeking staff who have been prepared to work in the digital environment. The knowledge and skills you acquire will be useful in any of these areas because of the pervasive and omnipresent nature of digital resources. You will be the one to lead people to the information they really need. Digital libraries are increasingly significant throughout the world in the provision of information not only to local audiences, but internationally. They are developed by existing library services, by governmental and commercial organizations. Therefore, we offer this programme on a part-time, distance learning basis, to answer the need for professional competence in this area, in a mode that is appropriate for anyone, anywhere in the world. Following the programme, students will be able to understand the significance of digital libraries in their own context, manage the transition of services to the digital sphere, and develop new digital services to satisfy the needs of their clientele. The programme draws upon the excellence of faculty members in Sweden’s leading school of library and information science.... [-]


Master of Information Technology (Computing and Networking)

James Cook University Singapore
Campus 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. [+]

Best Part time Master Programs in Computer Science. 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) [-]