Part time Master's Degree in Computer Science in Germany

Search Part time Master Programs in Computer Science in Germany 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.  

 

Germany, officially the Federal Republic of Germany, is a federal parliamentary republic in western-central Europe. The country consists of 16 states, and its capital and largest city is Berlin.

Contact Schools Directly Best Part time Masters Degrees in Computer Science in Germany 2017

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Master in Software Engineering for Embedded Systems

Fraunhofer Academy
Online Part time 4 semesters Germany

The Fraunhofer Institute for Experimental Software Engineering IESE offers a unique part-time Master’s course which is primarily run as a distance learning program by the Distance and International Studies Center (DISC) of the. [+]

Best Part time Masters in Computer Science in Germany. The Fraunhofer Institute for Experimental Software Engineering IESE offers a unique part-time Master’s course which is primarily run as a distance learning program by the Distance and International Studies Center (DISC) of the. The course is geared to international participants and is therefore conducted entirely in English. Type of course: Part-time distance learning course Qualification: Master of Engineering (M.Eng.) Language of instruction: English Course contents: Software development for embedded systems, project management, requirements engineering, software product line engineering, etc. How the course is organized: Self-study plus face-to-face modules at Fraunhofer IESE’s Software Engineering Laboratory in Kaiserslautern Admission requirements: Candidates must have completed a university degree in an engineering, science or information technology discipline and must have at least two years of professional experience in software development Additional information: ASIIN accreditation Target Group The distance education program is designed for professionals working in the field of software development who need to acquire advanced knowledge about emerging technologies and who wish to broaden their software engineering skills by pursuing graduate-level education in software engineering. The program targets graduates of engineering disciplines such as electrical, mechanical, and industrial engineering, graduates of IT disciplines such as computer science and business informatics, and graduates of non-engineering disciplines, such as mathematics and physics. [-]

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. [-]