Part time Master's Degree in Engineering & Technology in Lower Saxony in Germany

See Part time Masters Programs in Engineering & Technology in Lower Saxony Germany 2017

Engineering & Technology

In order to successfully obtain a Masters qualification, you will need to obtain a number of credits by passing individual modules. Most taught Masters will have a number of core modules which you must take and pass in order to obtain the qualification. The assessment of research Masters is almost always entirely by a single dissertation module or project.

Studies in engineering and technology prepare you for the technologically oriented workforce of today.

Members of the workforce with engineering and technology training are sought out by many industries including medical research and computer software development.

 

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.

Lower Saxony is a state in Germany. It is the 4th most populated state in the country with over 8 million people. The state is divided in to 38 districts. It is home to some of the most renowned universities, colleges, and academies of higher learning.

Request Information Part time Master Programs in Engineering & Technology in Lower Saxony in Germany 2017

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Master Management & Engineering

Leuphana University of Luneburg
Campus Part time 4 semesters October 2017 Germany Lüneburg

The Master’s Program in Management & Engineering centers on the handling of interactions between management and technology, as well as on imparting a fundamental and [+]

Part time Masters in Engineering & Technology in Lower Saxony in Germany. The Master’s Program in Management & Engineering centers on the handling of interactions between management and technology, as well as on imparting a fundamental and comprehensive understanding of management of modern design. CONTENT AND RATIONALE Strategic design options and operational optimization tasks almost always include interconnections overarching technology, business and management. The in-depth understanding of engineering is seen in varying degrees as a key success factor for the management of industrial enterprises. The program therefore combines the learning of management skills with training in the application of academic methods in the field of engineering sciences. STRUCTURE The first semester includes three modules on the fundamental principles, methods and processes of engineering and simulation. In addition, students will select one from two focuses on Automation Technology (AT) or Production Technology (PT) and complete the Module on Photonic Systems or Production Management. In the second semester, students complete, depending on the focus, Modules on actuators and control technology as well as sensors and intelligent systems (AT) or production engineering and production logistics (PT). In a challenging educational research project, students deal in a team with practical issues, which can be clarified by interdisciplinary or subject-based reflection. In addition, a selection module for individual subject focus is available. In the third semester, students take modules corresponding to the focal points of their studies. Modules on Components of Control Systems (AT) or Strategic Production Networks (PT) as well as three elective modules are available for selection. The third semester, therefore, is particularly well suited for a period of study abroad. In addition to the modules of their own major, all first-to-third-semester students take two overarching modules. In Management Studies, which include majors overarching different disciplines, students take three modules to expand their expertise the field of management knowledge. Complementary studies, also taught in three modules, draw their inspiration from a broadly academic and reflection-based science. Thanks to the special nature of these courses, students learn ways of thinking and of working across disciplinary boundaries, which will impart them with the ability to develop different solutions for problems encountered in theory and practice. The concluding semester is for writing the Master’s Thesis, as well as attendance at the Master’s Forum. The Master’s Thesis is composed preferably in cooperation with an industrial enterprise (also abroad, should this be requested) and is treats a practice relevant subject by applying academic methods. [-]

Master Management & Data Science

Leuphana University of Luneburg
Campus Part time 2 years October 2017 Germany Lüneburg

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 [+]

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 in Computer Science

University of Göttingen
Campus 4 semesters October 2017 Germany Göttingen

The programme contents include the development of modern experimental and product oriented information processing systems. Computer science can be divided into the areas of theoretical computer science, practical computer science, technical computer science as well as applied computer science. [+]

Master in Computer Science (M.Sc.)

 

Computer science is the science of systematic and automated processing of information. It deals with the structures, characteristics and possibilities to describe information and information processing as well as the setup, working method and construction principles of computer systems. General procedural methods of information processing and general methods of their application are researched. The programme contents include the development of modern experimental and product oriented information processing systems. Computer science can be divided into the areas of theoretical computer science, practical computer science, technical computer science as well as applied computer science.Students will deal with the possibilities of structuring, formalisation and mathematization of application areas in the form of special models and simulations. They will acquire knowledge in engineering development of software systems for different areas of application with special consideration of high adaptability and the man-computer interaction of such systems.The programme aims to convey extensive knowledge in the subject of computer science in theory and practice as well as with reference to an application subject. This comprises methods to solve application problems and their realization in an appropriate computer form.In Göttingen, particular importance is placed on the close connection with the application subject. In addition, the practical orientation can be further developed through project work and external internships. These internships are undertaken in an industrial company or a research institute.Those selecting computer science as their subject of study should be interested in a mathematically formal as well as an application-oriented practical way of working. The capability of working in a team is an important requirement for later daily work. Knowledge of the English language is required. Specialised knowledge, especially in programming, is not required.... [-]