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Full Time Masters Degrees in Freiburg, Germany

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University of Freiburg Department of Computer Science
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The accredited Master of Science program in Computer Science is a two-year program that has been designed for international and German graduate students. Read more
The accredited Master of Science program in Computer Science is a two-year program that has been designed for international and German graduate students. The curriculum is very flexible. Students can compile their individual study plans based on their background and interests. It is also a very practical program. In addition to lectures and tutorials, students will complete two seminars, one or two projects and the master thesis.

In the beginning students will choose one or two key courses. Key courses are courses which introduce the students to the research areas represented at the Department of Computer Science. The following key courses are offered:

• Algorithm Theory
• Pattern Recognition
• Databases and Information Systems
• Software Engineering
• Artificial Intelligence
• Computer Architecture

After that, students can specialize in one of the following three areas:

• Cyber-Physical Systems
• Information Systems
• Cognitive Technical Systems

Here are some examples of subjects offered in the three specialization areas:

Cyber-Physical Systems:

• Cyber-Physical Systems – Discrete Models
• Cyber-Physical Systems – Hybrid Control
• Real Time Operation Systems and Reliability
• Verification of Embedded Systems
• Test and Reliability
• Decision Procedures
• Software Design, Modeling and Analysis in UML
• Formal Methods for Java
• Concurrency: Theory and Practice
• Compiler Construction
• Distributed Systems
• Constraint Satisfaction Problems
• Modal Logic
• Peer-to-Peer Networks
• Program Analysis
• Model Driven Engineering

Information Systems:

• Information Retrieval Data Models and Query Languages
• Peer-to-Peer Networks
• Distributed Storage
• Software Design, Modeling and Analysis in UML
• Security in Large-Scale Distributed Enterprises
• Machine Learning
• Efficient Route Planning
• Bioinformatics I
• Bioinformatics II
• Game Theory
• Knowledge Representation
• Distributed Systems

Cognitive Technical Systems:

• Computer Vision I
• Computer Vision II
• Statistical Pattern Recognition
• Mobile Robotics II
• Simulation in Computer Graphics
• Advanced Computer Graphics
• AI Planning
• Game Theory
• Knowledge Representation
• Constraint Satisfaction Problems
• Modal Logic
• Reinforcement Learning
• Machine Learning
• Mobile Robotics I

We believe that it is important for computer science students to get a basic knowledge in a field in which they might work after graduation. Therefore, our students have the opportunity to complete several courses and/or a project in one of the following application areas:

• Bioinformatics
• Educational Sciences
• Geosciences
• Cognitive Sciences
• Mathematics
• Medicine
• Meteorology
• Microsystems Engineering
• Physics
• Political Sciences
• Psychology
• Sociology
• Economics

In the last semester, students work on their master’s thesis. They are expected to tackle an actual research question in close cooperation with a professor and his/her staff.

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Embedded Systems are a key technology of modern society. Whether in automotive industry, aerospace and medical technology or in telecommunications, media and entertainment industries – embedded systems always play a major role in state-of-the-art technology. Read more
Embedded Systems are a key technology of modern society. Whether in automotive industry, aerospace and medical technology or in telecommunications, media and entertainment industries – embedded systems always play a major role in state-of-the-art technology.

The curriculum consists of courses belonging to the following areas:

- Design of microelectronic and micromechanic devices
- Software based components
- System integration
- System optimisation regarding speed, cost and energy efficiency
- Safety and reliability

Six different concentration areas are offered:

- Circuits and systems
- Design and simulation
- Sensors and actuators
- Reliable embedded systems
- Distributed systems
- Robotics and computer visions

There are different kinds of courses, such as lectures, exercises, lab courses, seminars and projects. The state-of-the art equipment of the laboratories at the Faculty of Engineering enhance a hands-on teaching style that combines research and teaching. With a flexible curriculum and a high number of elective courses, students can shape their individual profile.

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Microsystems Engineering is one of the most dynamic and interdisciplinary engineering fields. The Master of Science program in Microsystems Engineering (MSE) provides the educational basis for your success in this field. Read more
Microsystems Engineering is one of the most dynamic and interdisciplinary engineering fields. The Master of Science program in Microsystems Engineering (MSE) provides the educational basis for your success in this field. The MSE program is designed for highly qualified graduate students holding a Bachelor degree in engineering or science.

In the first year 12 mandatory courses provide the fundamental theoretical framework for a future career in Microsystems. These courses are designed to provide students with a broad knowledge base in the most important aspects of the field:

• MSE technologies and processes
• Microelectronics
• Micro-mechanics
• MSE design laboratory I
• Optical Microsystems
• Sensors
• Probability and statistics
• Assembly and packaging technology
• Dynamics of MEMS
• Micro-actuators
• Biomedical Microsystems
• Micro-fluidics
• MSE design laboratory II
• Signal processing

As part of the mandatory courses, the Microsystems design laboratory is a two-semester course in which small teams of students undertake a comprehensive, hands-on design project in Microsystems engineering. Requiring students to address all aspects of the generation of a microsystem, from conceptualization, through project planning to fabrication and testing, this course provides an essential glimpse into the workings of engineering projects.

In the second year, MSE students can specialise in two of the following seven concentration areas (elective courses), allowing each student to realize individual interests and to obtain an in-depth look at two sub-disciplines of this very broad, interdisciplinary field:

• Circuits and systems
• Design and simulation
• Life sciences: Biomedical engineering
• Life sciences: Lab-on-a-chip
• Materials
• Process engineering
• Sensors and actuators

Below are some examples of subjects offered in the concentration areas. These subjects do not only include theoretical lectures, but also hands-on courses such as labs, projects and seminars.

Circuits and Systems
• Analog CMOS Circuit Design
• Mixed-Signal CMOS Circuit Design
• VLSI – System Design
• RF- und Microwave Devices and Circuits
• Micro-acoustics
• Radio sensor systems
• Optoelectronic devices
• Reliability Engineering
• Lasers
• Micro-optics
• Advanced topics in Macro-, Micro- and Nano-optics


Design and Simulation
• Topology optimization
• Compact Modelling of large Scale Systems
• Lattice Gas Methods
• Particle Simulation Methods
• VLSI – System Design
• Hardware Development using the finite element method
• Computer-Aided Design

Life Sciences: Biomedical Engineering
• Signal processing and analysis of brain signals
• Neurophysiology I: Measurement and Analysis of Neuronal Activity
• Neurophysiology II: Electrophysiology in Living Brain
• DNA Analytics
• Basics of Electrostimulation
• Implant Manufacturing Techologies
• Biomedical Instrumentation I
• Biomedical Instrumentation II

Life Sciences: Lab-on-a-chip
• DNA Analytics
• Biochip Technologies
• Bio fuel cell
• Micro-fluidics 2: Platforms for Lab-on-a-Chip Applications

Materials
• Microstructured polymer components
• Test structures and methods for integrated circuits and microsystems
• Quantum mechanics for Micro- and Macrosystems Engineering
• Microsystems Analytics
• From Microsystems to the nano world
• Techniques for surface modification
• Nanomaterials
• Nanotechnology
• Semiconductor Technology and Devices

MEMS Processing
• Advanced silicon technologies
• Piezoelectric and dielectric transducers
• Nanotechnology

Sensors and Actuators
• Nonlinear optic materials
• CMOS Microsystems
• Quantum mechanics for Micro- and Macrosystems Engineering
• BioMEMS
• Bionic Sensors
• Micro-actuators
• Energy harvesting
• Electronic signal processing for sensors and actuators


Essential for the successful completion of the Master’s degree is submission of a Master’s thesis, which is based on a project performed during the third and fourth semesters of the program. Each student works as a member of one of the 18 research groups of the department, with full access to laboratory and cleanroom infrastructure.

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The Master's programme in Sustainable Systems Engineering is designed for highly qualified graduate students holding a Bachelor‘s degree in engineering or science. Read more
The Master's programme in Sustainable Systems Engineering is designed for highly qualified graduate students holding a Bachelor‘s degree in engineering or science. It provides an in-depth knowledge in fields such as sustainable materials, energy systems, and resilience. The successful completion of the Master's programme qualifies for a career in research, as well as for head positions in industries of conventional and renewable energy, in supply companies and in energy or transport infrastructure operators.

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