Applied Computer Science (M.Sc.)
Applied Informatics - A degree programme with a bright future!
The Master programme in Applied Computer Science is a continuation programme and suitable for those with a Bachelor’s degree in Informatics or a closely related subject. The Master programme in Applied Informatics offers three specialisations.
- Autonomous systems
- Data science
- IT security
Networked information technology is permeating into all corners of our life. Like autonomous vehicles, autonomous systems need sensor systems and large amounts of data; Systems attached to networks however must have a secure design, the masses of data which accumulate have to be analysed. The system developers and software architects we train need comprehensive specialist knowledge and additional skills. They obtain these in the Master programme in Applied Computer Science.
EQUIPPED TO TACKLE THE TASKS OF TOMORROW
The Master programme in Applied Informatics equips students with more in-depth theoretical knowledge in the various fields of informatics and extends their expertise in selected fields of specialisation. This qualifies students to undertake development work and also to take on management functions in industrial companies. The Master programme also qualifies students to go on to do their doctorate and ultimately to work in research.
The choice is yours
The Master programme in Applied Informatics offers three specialisations. Autonomous Systems deals with the methods and technologies used in autonomous vehicles and systems. Data Science focuses on the analysis and exploitation of Big Data from industry, research and commerce. The IT Security specialisation teaches the skills needed to provide better protection for systems, networks and associated components such as software.
If none of the three specialisations appeals to you, you may choose an individual specialisation to suit your interests. When all elective modules are chosen from one specialisation, the field of specialisation is stated on the degree certificate. When an individual specialisation is chosen, no field of specialisation is stated on the degree certificate.
Research and development
The Master programme equips students with skills and abilities which qualify them to enter their profession and extend far beyond those taught in a Bachelor programme. The curriculum is very research oriented. Students must complete two large research projects and write a publication in addition to their Master thesis. The close cooperation with the Fraunhofer KEIM Applied Research Center which is sited at the Faculty of Information Technology ensures that students may choose from a range of interesting and current research topics. The Faculty of Information Technology has a sound network of industrial partners which offer assignments for research projects and final theses. This ensures the curriculum is always topical, and focused on research and application.
How is the programme structured?
The programme takes 3 semesters to complete and the first two semesters are each divided into three sections: core modules on information technology, electives and research projects. The work for the Master thesis is done in the third semester.
The core modules extend the fundamental theoretical knowledge with advanced courses on information technology, IT security and theoretical computer science. The research project can be done in a company, research institution or at the Faculty of Information Technology. Electives can be selected to suit personal preferences from one of the three specialisations - autonomous systems, data science or IT security - or can also be taken from more than one field if a student wishes to create their own specialisation. The programme concludes with the Master thesis in the third semester. The work for the Master thesis can also be done in a company, research institution or at the Faculty of Information Technology.
On successful completion of the Master programme, it is possible to do a collaborative doctorate at a partner university or at the Fraunhofer KEIM Applied Research Center in cooperation with the University of Stuttgart.
Master's Degree program leaflet
Facts and Figures - at a glance
|Degree awarded||Master of Science (M.Sc.)|
|Faculty||Computer Science and Engineering|
|Campus||Esslingen Hilltop Campus|
|Number of semesters||3|
|Language of instruction||german/english|
For summer semester from 15 October to 15 January
For the winter semester: from April 24th to July 15th
|Information on admission requirements|
Admission limitation, number of places available (30 per year)
The specialisation in autonomous systems equips students with the skills necessary to develop and realise smart, autonomous systems. A typical field of application is autonomous driving. Data from various sensors are processed and analysed and combined with a model of the environment, the road map. Intelligent algorithms then calculate the rules of conduct for the autonomous system.
The data science specialisation provides you with the skills to generate information from enormous amounts of data. A typical field of application is to obtain faster and better information for corporate management and to enhance productivity. Big Data is intended to provide companies with an advantage when developing new products and business models.
The IT security specialisation teaches students the skills they need to develop and realise secure IT systems. A typical field of application is safeguarding the IT infrastructure of a company from both a network and a software point of view. One of the main tasks is managing IT security in companies.
Individual fields of specialisation
An individual field of specialisation incorporating some or all of the specialisations offered in the programme is also possible. Students who choose this option can select electives from all three specialisations according to their personal interests. In this case, the degree certificate does not list a specialisation.
HOW TO APPLY
Applicants are required to have a Bachelor’s degree in information technology or a closely related subject. Applications for this Master programme must be submitted online via the Master degree programme portal of Esslingen University of Applied Sciences.
You can commence your studies in either the winter or the summer semester.
The deadlines for submitting applications are
- 15 January for the summer semester
- 15 July for the winter semester
Information on the documents which must be submitted can be found in the checklist for Master programmes.
ADDITIONAL DOCUMENTS WHICH MUST BE SUBMITTED WITH YOUR APPLICATION:
Applicants with a degree from a foreign university
Esslingen University of Applied Sciences requires a university degree awarded by a foreign university to be recognised by the Center for International Students at Constance University of Applied Sciences (Studienkolleg Konstanz).
The curriculum for the degree programme and detailed descriptions of the programme modules are contained in the Module Catalogue.Course Syllabi Applied Computer Science (M.Sc.) (German Version)
Applied Informatics - A degree programme with a bright future
All graduates of the Applied Informatics Master programme have sound knowledge in the key areas of advanced software engineering, artificial intelligence, security engineering and computer sciences. This key knowledge enables them to approach their work from an engineering perspective, apply sound methodologies to undertake and manage software projects, focusing attention on IT security in particular. The two research projects moreover help students to enhance their technical and social skills, such as abstract reasoning, the ability to analyse systems and to communicate and work in a team, and thus prepare them for their future management roles.
Specialisation: Autonomous Systems
Those who choose the autonomous systems specialisation additionally have sound knowledge of the following fields of application: data fusion, machine vision, machine learning, control systems, high-performance computing and automotive systems design. They are particularly able to apply sound methodology to develop autonomous, networked systems. They are able to work on complex research and development tasks from an engineering and mathematical perspective. They start by abstracting the issue, expressing it mathematically and creating a model, and are thus able to derive intelligent algorithms or develop them further, when required.
They are typically employed as specialists or managers for Industry 4.0, the Internet of Things and autonomous driving.
Specialisation: Data Science
Those who choose the data science specialisation additionally have sound knowledge of the following fields of application: big data, data mining, intelligent data analytics, cloud computing, and advanced data models. They are able to tackle complex research and development tasks from an engineering and mathematical perspective. They are particularly able to systematically analyse large amounts of data, to derive important characteristics therefrom and use them to gain crucial insights.
They are typically employed as specialists or managers for data science, or digitisation in a corporate environment.
Specialisation: IT Security
Those who choose the IT security specialisation have sound knowledge of the following fields of application: network security, secure coding, penetration testing, digital forensics. They are able to tackle complex research and development tasks concerned with IT security from an engineering perspective. They have the special ability to safeguard existing and new IT systems against all types of attacks.
They are typically employed as specialists or IT security managers in companies.
Graduates of this Master programme are very well qualified to take on a managerial role in Research and Development.
The Master programme offered by the Faculty of Information Technology has been successfully accredited by the ACQUIN accreditation agency.
Further information on the accreditation and the ACQUIN Institute is available at www.acquin.org
In July 2021, the programme was re-accredited. The accreditation has been extended the validity until the final approval by the accreditation council.