Online Master's Degree in IT in Germany

See Online Master Programs in IT in Germany 2017

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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.

In information technology programs, students may be able to explore different types of technology applications and the way in which information is created, exchanged and stored. Students may learn how to write code and can explore areas such as information security, software applications, system design and databases.

Germany is a great destination for international scholarsand has a high quality higher education system. The value of this level of education has been improved by the Germany's strong economy. Foreign students enjoy excellent living standards in a secure and safe surroundings. Berlin is the capital.

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International Master in Project Management & Data Science

HTW Berlin University Of Applied Sciences
Campus Full time 4 semesters October 2017 Germany Berlin

In the world's corporate environment it is highly important to be familiar with the international context and have a better understanding of it. The Master’s degree programme in Project Management and Data Science at HTW Berlin will help you to successfully manage and supervise projects in the international environment as well as facilitate, process and interpret extensive datasets and carry out analyses across different disciplines. [+]

Best Online Masters in IT in Germany. Innovation and Diversity HTW Berlin, the largest University of Applied Sciences in Berlin, is defined by its future-oriented range of programmes and courses, consistently covering areas of current interest as well as those with longer term appeal. Increasing quantities of data are being generated across numerous industries and service provision areas and the international Project Management & Data Science Master’s Programme was developed in order to tackle the shortage of qualified staff in this area. Data related to customers, markets and competitors is extremely important in today’s commercial landscape. Sensitive and responsible handling of data is an important success factor for all manner of companies. “Big Data” – the intelligent management of large and simultaneously heterogeneous data – is one of the biggest commercial challenges of our times. The processing and analysis of this volume of data also generates extremely far-reaching findings. In the fight against cancer, for instance, Molecular Medicine uses vast quantities of data to develop individual treatments and therapies. Many firms have identified the lack in project handling and business analytics skills. They invest billions of dollars in training for employees in the areas of Project Management and Data Analytics. With quintillion bytes of data being generated every day, qualified managers are required who can appropriately assess this data and use it for managing projects in an industry and company-specific way. The combination of Project Management and Data Science studies therefore represents a comprehensive and in-demand academic qualification. It opens up a diverse range of commercial, creative and organizational opportunities and career paths. Graduates of the Master’s Programme Project Management and Data Science will possess a broad range of techniques and methodologies which are of huge interest to businesses today. Their extensive knowledge will equip them with the skills to increase efficiency and reduce costs in complex business processes. The Master of Science qualification offers graduates a wide range of potential areas of application as well as opportunities for career advancement. International context In the world's corporate environment it is highly important to be familiar with the international context and have a better understanding of it. The Master’s degree programme in Project Management and Data Science at HTW Berlin will help you to successfully manage and supervise projects in the international environment as well as facilitate, process and interpret extensive datasets and carry out analyses across different disciplines. Ideally prepared for a successful career This specialisation is based on our survey of major German industrial companies, which revealed a strong demand for internationally oriented project management specialists and data scientists. During this program you will acquire international skills by working together with students of different nationalities and background. Since the programme is taught entirely in English, you will also be ideally prepared for the international labour market. Language skills in German are not necessary. International and practice-oriented During your studies you will acquire knowledge of business administration with an international basis. The curriculum focuses on different areas of project and Information Management, various Data Analysis techniques as well as HR and Marketing. Deep knowledge of statistics is not required. Excellent Career Prospects Project Management & Data Science M.Sc. The rapid increase in data generation is resulting in a huge demand for Big Data specialists – specialists who possess the skills to efficiently and effectively organize the growing volume of information. In today’s workforce, there is already a lack of several hundred thousand managers qualified to tackle complex and interrelated managerial tasks. Standard period of study 4 semesters / incl. last semester thesis / 2 years: Master of Science (M.Sc.) First semester: International Project Management I, Foundations of Data Analytics and Statistical Programming, Contract and International Business Law, elective: Group Facilitation, Technology Management in Practice or Negotiation Techniques Second semester: International Project Management II, Advanced Computational Data Analytics, Change Management and Leadership, Financial Reporting and Management Information Systems Third semester: Project Management and Data Analytics Lab, Advanced Data Mining Techniques, Databases and Big Data, Practical Data Governance, Data Security and Regulatory Compliance, elective: Group Facilitation, Technology Management in Practice or Negotiation Techniques Fourth semester: Thesis and oral exam All modules are planned and structured in an extremely practice‐oriented manner. Cooperations with world leading companies are included. The modules involve working through specific questions during case‐studies and project simulations. Human resource, soft skills, intercultural topics and trainings, in particular, are covered. Other programmes at the HTW See also our international Industrial Engineering programme, Master of Business Administration & Engineering here. [-]

Master in Security and Privacy (S&P)

EIT Digital Master School
Campus Full time 2 years September 2017 Germany Berlin

The programme in Security and Privacy focusses on the study of the design, development and evaluation of secure computer systems, which are also capable of ensuring privacy for future ICT systems. It follows a constructive security approach to teach the very complex and challenging field of information assurance. [+]

Why study the EIT Digital Security & Privacy programme? The EIT Digital Security & Privacy programme offers: Front line technical content within the field. Studies at two of Europe´s foremost technical universities leading to a double degree. A good integration with tailored Business courses in Innovation and Entrepreneurship. A thesis work well grounded in industrial problems. Access to the competence of eight EIT Digital innovation action lines, not least through a summer school between the two years. Access to the co-location centers and innovation ecosystems of the nine EIT Digital nodes. What is the programme all about? The programme in Security and Privacy focusses on the study of the design, development and evaluation of secure computer systems, which are also capable of ensuring privacy for future ICT systems. It follows a constructive security approach to teach the very complex and challenging field of information assurance. The aim is to provide students with an understanding of the concepts and technologies for achieving confidentiality, integrity, authenticity, and privacy protection for information processed across networks. What are the career opportunities for graduates from the programme? Graduates from the Security & Privacy master’s programme will qualify for jobs in international and local organizations in both technical and business roles. Typical titles are: (Cyber) Security consultant; Security Analyst; (Information) Security Architect; Operation Manager; Product Manager. Through their multidisciplinary attitude graduates are valuable in open innovation settings where different aspects (market, users, social aspects, media technologies) come together. They will easily find jobs within companies that provide value-added products and services, such as telecom companies, game companies, e-learning, web developers, and entertainment. An alternative path would be to start your own company to provide product or technology development, media content, business development or consultancy services. How is the programme structured? The programme is a double degree programme with studies at a university in one country in the first year (entry) and studies at a university in another country the second year (exit). The programme has an integrated technical content (Technical major) and business content (Innovation & Entrepreneurship – I&E minor). The I&E minor is shared between all programmes (link). An integral part of the second year is a Master’s thesis (30 ECTS). The structure and content of the technical major is given below. Where can I study if I choose Security and Privacy? Entry - 1st year UNITN in Trento, Italy UT, Twente, The Netherlands Exit - 2nd year, specialization ELTE Budapest, Hungary Saarland University, Germany TUD, Darmstadt, Germany UNITN in Trento, Italy UT, Twente, The Netherlands Specific Admission Requirements A B.Sc. degree in computer science, electrical engineering, computer engineering or information systems sciences with solid skills in mathematics, electrical engineering, software design and programming is required. The average grade must be at least 75% of the scale maximum. [-]

Master in Internet Technology and Architecture (ITA)

EIT Digital Master School
Campus Full time 2 years September 2017 Germany Berlin

The ITA master is a new European two-year master programme within the EIT Digital Master School “ICT Innovation”. The aim of the EIT (European Institute of Innovation and Technology) is to breed a new generation of technology-skill [+]

Best Online Masters in IT in Germany. The ITA master is a new European two-year master programme within the EIT Digital Master School “ICT Innovation”. The aim of the EIT (European Institute of Innovation and Technology) is to breed a new generation of technology-skilled entrepreneurs by enhancing high-profile technology education with a strong business orientation. For the field of ICT, the EIT has created through the KIC ICT Labs (one of the Knowledge and Innovation Communities), several ICT master programmes to combine ICT engineering on an advanced level with a business minor focused on Innovation and Entrepreneurship (I&E). The goal is to make students that take part in this education the elite group of forthcoming ICT professionals. The unique features of this advanced level education are: A standardized I&E minor Mobility among universities (one year at one university and the second year at another university) Specialisation at one of the European top universities Personal industrial relationships for the students, including industrial mentors and internships at EIT Digital non-university partners as part of the study plan. Thematic area grounding and utilization of resources from EIT Digital research and business activities There are seven ICT programmes (majors), one of them is Internet Technology and Architecture (ITA) offered by a consortium of UPMC (Paris), TUB (Berlin), KTH (Stockholm), UNITN (Trento), UNS (Nice), ITA/TB (Brest) and UPM (Madrid). The first year consists of one semester of core courses on ITA and one semester on Entrepreneurial education. For the second year, students can select a specialisation and complete a thesis project at one of the industrial partners. Internet Technology and Architecture The technical major in Internet Technology and Architecture is a focused programme of study involving advanced networking technologies and architectures for the design and management of modern distributed computer systems and networks. This programme is in line with the challenging field of computing communication and networking technologies that has lately received considerable attention and is today considered as a major topic for most curriculum studies in IT. Programme The aim of the Internet Technology and Architecture programme is to develop a coherent set of theoretical knowledge and professional understandings and skills in computer networks. Emphasis is placed on understanding of current research issues as well as detailed practical experience of network design, development, implementation, and management. The first year will be similar at the four entry points UPMC, TUB, KTH and UNITN with four basic courses on the foundations of networking, network design and modelling, wireless and mobile computing, and advanced next generation networks. In addition, some elective courses may be chosen to prepare for a specialisation. This programme also includes an I&E minor that will provide students with both theoretical concepts and practical tools that will develop critical thinking in assessing entrepreneurship opportunities and devising appropriate strategies to turn ideas into profitable business ventures. The I&E minor consists two courses: The I&E basics course provides an introduction to business and management. The Business Development Lab will extend media systems engineering projects by a market survey, a business model generation process, and a venture development exercise. Students participating in the ITA 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 an I&E minor thesis that will specify the requirements, strategy and business plan for the selected thesis project. Specialisations Specialisations will be provided in the second year. The ITA major will offer seven specialisations, each at a different location: User-centric networking at UPMC Internet technologies at TUB Communication systems design at KTH Wireless and mobile access networks at UNITN Networked Analysis and Experimentation at UNS Internet of things at IT/TB Technologies for Internet Mobile and Ubiquitous Computing at UPM To meet the requirements for geographic mobility, the chosen exit point needs to differ from the chosen entry point. Specific Admission Requirements A B.Sc. degree in electrical engineering, electronics, computer science, computer engineering or information technology is required. Sufficient background in basic data communications, telecommunications and internetworking as well as mathematics, including calculus, linear algebra and mathematical statistics is also required. [-]

Master in Embedded Systems (ES)

EIT Digital Master School
Campus Full time 2 years September 2017 Germany Berlin

Embedded systems are everywhere. More than 98% of the world’s processors are located in embedded systems. Applications include a wide variety of industrial and personal systems such as satellites, robots, cars, airplanes, elevators, mobile telephones, washing machines, and health-care equipment just to mention a few. [+]

Why study Embedded Systems? Embedded systems are everywhere. More than 98% of the world’s processors are located in embedded systems. Applications include a wide variety of industrial and personal systems such as satellites, robots, cars, airplanes, elevators, mobile telephones, washing machines, and health-care equipment just to mention a few. In all these areas, embedded systems confer added value to the products by either extending the range of the delivered functionalities or by enhancing the quality of a “traditional” functionality that is rendered to the user. What are the career opportunities for Embedded Systems graduates? Many European companies are world leading in the field of embedded systems design and have a strong demand for highly skilled, creative engineers, innovators, system architects, and specialists. Europe also needs brand new companies that are able to provide innovative embedded solutions to address societal challenges, to improve the quality of life, and to boost the European economy and leadership. Why Embedded Systems at EIT Digital? "I found my masters course with EIT Digital very involving and fulfilling. It gave me access to two of the top universities in Europe and it's faculties. The business part of the programme helped me to envision my technical learning as real world applications and business opportunities." Shriraam Mohan, 2013 Cohort What is Embedded Systems Master at EIT Digital all about? The Embedded Systems programme focuses on enabling technologies and design methodologies for computing systems which are embedded as integral part of larger systems, designed for specific control functions of devices with various electronic and mechanical components. Graduates of the Embedded Systems programme will be world-class specialists and innovators in the field of embedded systems, capable of developing embedded solutions for new challenges in the cyber-physical systems and internet-of-things domains. The Embedded Systems programme has three entry points and seven exit points. The first year will be similar at the three entry point universities (KTH, TUB, TU/e), covering the common base studies on construction of embedded systems, embedded hardware & software, and models & methods for embedded systems design. The second year will accommodate the technical specialisation provided by one of the exit point universities (KTH, TUB, TU/e, AALTO, TUCS, UNITN, BME). The seven specialisations are: (1) Embedded Platforms (2) Embedded Multicore Processing, (3) Embedded Networking, (4) Mobile Cyber-Physical Systems, (5) Internet of Things and Energy-Efficient Computing, (6) Real-Time Systems and Design of Cyber-Physical Systems, and (7) Critical Embedded Systems. What are the goals of the programme? The mission of the Embedded Systems programme is to give students a holistic and multidisciplinary view and skillset on embedded systems, their underlying technologies, their development, and their integration. Through the combined technical and entrepreneurial education, students will get insight into the role of embedded systems in the modern society and ability to develop innovations into business ideas and high tech embedded systems start-ups. They will also be capable of taking on leading management roles in embedded systems and more general ICT companies. How is the programme structured? The general structure of the two-year programme (120 ECTS) is shown below. The first year (60 ECTS), providing the technical core (common base) and I&E courses, is spent at one of the entry unversities. The second year (60 ECTS), providing the technical specialisation courses, is spent at one of the exit universities. The selected entry and exit points must reside in different countries. This international and cross-organisational mobility is a mandatory and essential part of the programme. The teaching language in all the courses is English. Embedded Systems programme The Embedded Systems programme involves seven partner universities and provides three entries and seven exits. The partner universities and their roles are as follows: Royal Institute of Technology (KTH), Sweden: Develops and implements the common base (entry) and the specialization (exit) “Embedded Platforms”. Technical University of Berlin (TUB), Germany: Develops and implements the common base (entry) and the specialization (exit) “Embedded Multicore Processing”. Eindhoven University of Technology (TU/e), the Netherlands: Develops and implements the common base (entry) and the specialization (exit) “Embedded Networking”. Aalto University (AALTO), Finland. Develops and implements the specialization (exit) “Mobile Cyber-Physical Systems”. Turku Centre for Computer Science (TUCS), Finland. Develops and implements the specialization (exit) “Internet of Things and Energy Efficient Computing” as joint effort between the two universities in Turku - University of Turku (UTU) and Åbo Akademi University (ÅAU). University of Trento (UNITN), Italy. Develops and implements the specialization (exit) “Real-Time Systems and Design of Cyber-Physical Systems”. Budapest University of Technology and Economics (BME), Hungary. Develops and implements the specialization (exit) “Critical Embedded Sytems”. Specific Admission Requirements A B.Sc. degree in electrical engineering/ electronics, computer engineering, computer science or information technology is required. The studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics including calculus, algebra and mathematical statistics. [-]

Master in Data Science (DSC)

EIT Digital Master School
Campus Full time 2 years September 2017 Germany Berlin

Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. [+]

Best Online Masters in IT in Germany. Why study Data Science? Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. What are the carier opportunities for Data Science graduates? Become a professional for a career in a highly innovative area: data science. The profession in Data Science is hailed as the “… Sexiest Job of the 21st Century,” by Harvard Business Review in October 2012. The Data Scientist is a professional who simultaneously possesses breadth and depth in scalable data management, data analysis, and domain area expertise, and who is capable of solving real-world problems. This is an opportune time to pursue training in both a challenging and rewarding new field. Join us and embark on a journey of a lifetime! Why Data Science at EIT Digital? Getting value, meaning and answering big questions, are the ultimate goals of Learning Data Science at EIT Digital. Mazen Aly Data Science Master student Eindhoven University of Technology Study Data Science at EIT Digital, where education is provided by renowned universities and where entrepreneurial data scientists of the future are come to being! Farideh Heidari Data Science Coordinator What is Data Science Master at EIT Digital all about? The newly established Data Science Master’s offers a unique academic programme, whereby students can study data science, innovation, and entrepreneurship at leading European universities. In this programme, students will learn about scalable data collection techniques, data analysis methods, and a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, and visualization, and related concepts (e.g., data access, pricing data, and data privacy). How is the programme structured? The first year will be similar at all three DSc entry point universities: Universidad Politecnica de Madrid (UPM), Eindhoven University of Technology (TU/e), and Universite Nice Sophia Antipolis (UNS) with foundations courses, such as data handling, data analysis, advanced data analysis and data management, visualization, and applications. The second year will enable students to concentrate one of six technical specialisation areas of their own choosing. See: specialisations below. An important part of the programme are the Innovation and Entrepreneurship (I&E) courses. The I&E basics course provides an introduction to business & management. Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project. Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT-Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project. Where can I study if I choose Data Science? Entry - 1st year Eindhoven University of Technology (TU/e) Universidad Politecnica de Madrid (UPM) Universite Nice Sophia Antipolis (UNS) Exit - 2nd year, specialisation Internet of Things (IoT) at UPM Multimedia and Web Science for Big Data at UNS Process Mining at High Tech Systems, Healthcare, Visual Analytics or Big software at TU/e Distributed Systems and Data Mining for Really Big Data at KTH Design, Implementation, and Usage of Data Science Instruments at TUB Specific Admission Requirements A B.Sc. degree in electrical engineering/ electronics, computer engineering, computer science or information technology is required. The studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics including calculus, algebra and mathematical statistics. [-]

Master in Cloud Computing and Services (CCS)

EIT Digital Master School
Campus Full time 2 years September 2017 Germany Berlin

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. [+]

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. [-]

Master Management & Data Science

Leuphana University of Luneburg
Campus Full time Part time 2 years October 2017 Germany Lüneburg + 1 more

The Master's Programme in Management & Data Science is geared towards students wanting to advance their skills in the data analysis of real-world phenomena. After completion of this program our graduates have the ability [+]

Best Online Masters in IT in Germany. The Master's Program in Management & Data Science is geared towards students wanting to advance their skills in the data analysis of real-world phenomena. After completion of this program our graduates have the ability to analyze massive and complex data sets, design statistical models based on the latest in information technology. The program is designed to meet the fast-growing demand for data scientists in business, public administration, and research. CONTENTS AND IDEA The rapid economic and technological transformations occurring in the global economy and the transition from an industrial to a knowledge-based economy confront corporate leaders with new challenges. The rising flood of data associated with the dynamic complexity of today’s business environment can no longer be handled by traditional methods and a manager’s personal experience alone. This degree program delivers interdisciplinary learning and research opportunities, that allows students to gain application-oriented knowledge for practical management solutions. Through the integration of management, data analysis and information systems knowledge, students will be able to develop the latest in innovative solutions for managing information-driven organizations. PROGRAM STRUCTURE During the first semester, students become experts in extracting knowledge from data. They acquire a foundation in mathematics, skills in the use of data analysis tools and an understanding of the data economics. The second semester includes modules in storage and mining of massive datasets, probabilistic modeling, analyzing networks as well as forecasting and simulation. In the third semester, students undertake a challenging research project, working in teams to address questions of practical relevance with scientific rigor – often in cooperation with leading companies, focusing on data-intensive problems from different industries. In addition students deepen their knowledge of data privacy and ethics. Two additional electives provide the possibility for further specialization that matches your professional or personal interests. Students can choose from a wide range of subjects, e.g.: Geo Information Systems, Semantic Web, Information Retrieval and Unstructured Data, Visualization and Communication, Parallelization and High Performance Computing. Alternatively, students can choose a maximum of two optional modules from other Management & Entrepreneurship majors. Students planning to study abroad are advised to schedule this for their third semester. In the field of Management Studies, students deepen their specialist skills by completing a total of three modules. The interdisciplinary Complementary Studies component to the program also comprises three modules and provide students with a general foundation in academic and research. The special focus of the Complementary Studies allows students to familiarize themselves with methods reaching beyond disciplinary boundaries and to develop new strategies for solving problems arising in science and practice. In the final semester, students write their Master’s thesis and attend the accompanying Master’s Forum. [-]

Master It-management And Information Systems

Fachhochschule der Wirtschaft FHDW
Campus Full time 31 months October 2017 Germany North Rhine Westphalia

The master's degree program IT management and information system with the degree "Master of Science" (M.Sc.) ideally combines [+]

Part-time studies for Master of Science The master's degree program IT management and information system with the degree "Master of Science" (M.Sc.) ideally combines the latest developments and methods of information technology with business expertise and modules to expand the leadership skills. Graduates of the course to take, for example, responsibility for IT departments, the introduction of new IT solutions or the economic development of their company. Duration 31 months target group The course is aimed at graduates of computer science and technology-oriented business that would like to take leadership responsibility in a corporate environment in perspective. Pre-requisites 1) Professionally qualifying university degree in computer science, applied computer science or technically oriented business of at least 180 ECTS and with a grade point average as a rule of at least 2.4 2) resume and cover letter, setting out the study motives and personal goals 3) Successful completion of the aptitude test in the form of a job interview 4) Basic knowledge in programming, software engineering, databases, project management and networks (Proof of certificates, in exceptional cases, by practical experience) 5) English language skills according to the B1 level of the "Common European Framework of Reference for Languages ​​(CEFR)" (proof about certificates, foreign language testing, longer stays abroad in English-speaking organizations or Countries or external language tests. If proof as part of the aptitude test a language test is performed.) Organization The master's program is for career professionals in 31 months. The first four semesters start each week with a presence. More class lectures are scheduled on Saturdays. In the week synchronous e-learning takes place. The fifth and sixth semester are available for the completion of a Master's thesis and the colloquium is available. Tuition and Fees 31 months x 600 € = total € 18,600; off examination fee: 2.400 € [-]

Master IT Management

FOM Hochschule
Campus Part time 4 semesters October 2017 Germany Frankfurt am Main

As a university for the FOM professionals puts a special focus on the relevance of teaching content for practice [+]

Master IT Management

Degree: Master of Science (M.Sc.)

With Prof. Dr. Stefan Eickermann, Chair of Economics Computer Science and Software Engineering at the University of Duisburg-Essen, Directs a renowned IT expert to master's degree program IT management at the FOM University. Prof. Eickermann has published Numerous publications in international magazines. His expertise is included in the courses of the Master's Degree Program - as well as the results of research projects did support the FOM in this field of competence. Currently, the University Throughout the project to IT innovations in human environment. As part of its "High-Tech Strategy 2020", the Federal Government supports the project financially. As a university for working professionals, the FOM has a Particular Focus on the relevance of the curriculum for practice. Accordingly, in addition to methods of research, application-oriented topics: such as project management and software engineering are part of the curriculum. finish your degree as a Master of Science (M.Sc.) in IT Management... [-]


Information Technology

SRH University Heidelberg
Campus Full time 18 months October 2017 Germany Heidelberg

Wireless communications, cellular TV phone technology, satellite technology, robotics, network technology … these are modern applications of information technology. Are you interested? Then [+]

Master - Information Technology

(School of Engineering)

Wireless communications, cellular TV phone technology, satellite technology, robotics, network technology … these are modern applications of information technology. Are you interested? Then get ready to learn how to convert, store, protect, process, transmit, and securely retrieve information.To prepare you for your future, we designed the programme “Information Technology”. You will focus on the implementation, support and management of computer-based information systems, particularly software applications and computer hardware but also on Antenna design for mobile and satellite applications.... [-]


Master in Intelligent Adaptive Systems

University of Hamburg, School of Mathematics, Informatics and Natural Sciences
Campus Full time Part time 2 years October 2017 Germany Hamburg + 1 more

Intelligent systems and robots are expected to become an integral part of our daily lifes. In order to be accepted by and interact efficiently and naturally with humans, they have to adapt to changing environments and the users they interact with. Intelligent systems [+]

Intelligent systems and robots are expected to become an integral part of our daily lifes. In order to be accepted by, and interact efficiently and naturally with, humans, they have to adapt to changing environments and the users they interact with. Intelligent systems are expected to automatically  acquire and manage knowledge through a variety of sensors and to learn and optimise their behaviour over time. This international Master's programme aims to provide students with the ability to create these intelligent adaptive systems and to prepare them for a future market, where intelligent and adaptive behaviour is considered the standard for computer systems.

As one of the few computer science programs in Germany that are taught completely in English, the Master course „Intelligent Adaptive Systems“ prepares students for international research and professional work. Following a balanced approach, it is placed in between programs with a purely technical focus and programs that offer a general computer science curriculum. Its curriculum is focused on the area of smart technology and intelligent adaptive systems and provides in-depth training in this area. The selected modules provide a comprehensive overview including technical aspects and state-of-the art algorithms and methods. Students are introduced to current research in the corresponding fields and have the opportunity to deepen the acquired knowledge by participating in international research projects. The Master in Intelligent Adaptive Systems is a 2-year research oriented programme that is taught in English. Students, both national and international, can profit from an international environment and improve their grasp of the English language and knowledge on cultural differences. The inter-student exchange is fostered in seminars and work groups and extended in extra-curricular discussions and activities. Through the proximity to current research projects, students have the possibility of a smooth transition into collaborative research environments and continuing education and study.... [-]