Applied Computer Science (M.Sc.)

Applied Computer Science - a master's course of study full of prospects

Networked information technology is permeating into all corners of our life. Business intelligence, autonomous vehicles, intelligent systems, data mining, machine vision and machine learning, mobile computing are the buzz words used to describe the latest innovative trends. System developers and software architects need comprehensive specialist knowledge and additional skills. The Master’s programme in Applied Computer Engineering provides ths necessary expertise and skills.

EQUIPPED TO TACKLE THE TASKS OF TOMORROW

The Master’s programme in Applied Computer Science equips more in-depth theoretical knowledge in the various fields of Computer Science and extends their expertise in selected fields of major fields of studies. This qualifies to undertake development work and also to take on management functions in industrial companies. The Master’s degree also qualifies to a doctorate and ultimately to work in research.

THE CHOICE IS YOURS

The Master’s programme in Applied Commputer Science offers four major fields of studies. Autonomous Systems deals with the methods and technologies used in autonomous vehicles and systems. Business Intelligence focuses on the analysis and use of Big Data. Mobile Computing teaches the skills needed to develop mobile applications and Web services. If none of the above major fields of studies corresponds to your personal interests, an own individual specialisation to suit your preferences can be chosen.

RESEARCH AND DEVELOPMENT

The Master's programme imparts skills that go far beyond a Bachelor's programme. The curriculum is very research oriented. Two large research projects have to be done, a publication in addition to Master’s Thesis must be written. The close cooperation with the Fraunhofer KEIM Applied Research Center which is sited at Department of Information Technology ensures that always a large range of interesting and current research topics. The Department of Information Technology has a sound network of industrial partners which offer assignments for research projects and final theses. This ensures that the course content is always up-to-date, and oriented towards actual research and modern applications.

HOW IS THE PROGRAMME STRUCTURED?

The Master's programme takes three semesters to complete. The first two semesters are each divided into three sections: core modules of computer science, electives and research projects. The work for the Master’s Thesis is done in the third semester.

The core modules extend the theoretical knowledge with advanced courses in IT security, IT management, theoretical computer science and advanced software engineering. The research project can be done in a company, a research institution or at Department of Information Technology. Electives can be selected to suit personal preferences from one of the three major field of studies Autonomous Systems, Business Intelligence, Mobile Computing, or can also be taken from more than one specialisation when an own specialisation will be prefered. The programme concludes with the Master’s Thesis in the third semester. The Master’s Thesis can be done in a company, a research institution or at Department of Information Technology.

DOCTORATE

On successful completion of the Master’s programme, it is possible to do a doctorate at the Fraunhofer KEIM Applied Research Center in cooperation with the University of Stuttgart.


Master's Degree programme leaflet

Applied Computer Science (M.Sc.)

Facts and Figures - at a glance

Degree awardedMaster of Science (M.Sc.)
FacultyInformation Technology
CampusEsslingen Hilltop Campus
Number of semesters3
Language of instructionEnglish/German
Application PeriodsUp to January 15th for the summer semester
Up to July 15th for the winter semester
Information on admission requirements

Yes

Specialisation

Autonomous Systems

The study focus Autonomous Systems imparts competences for the development and realization of intelligent, autonomously acting systems. A typical field of application is autonomous driving. Data from different sensors are processed and analyzed and combined with an environment model, the road map. Intelligent algorithms use this data to calculate the rules of behaviour for the autonomous system.
Keywords: Data Fusion, Intelligent Data Analytics, Advanced Control, Autonomous Systems
 

Business Intelligence

The study focus Business Intelligence imparts competences for the development and realization of intelligent monitoring of business processes. A typical area of application is to accelerate business processes in companies on the basis of the evaluation of company data and to make them more intelligent, with the aim of making relevant company data available to company management at an early stage.
Keywords: Big Data, Data Mining, Intelligent Data Analytics, Business Intelligence
 

Mobile Computing

The study focus Mobile Computing imparts competences for the development and realization of mobile applications. A typical area of application is the development of new business models that the user can use on mobile devices. Whether it is a payment process using a smartphone or the booking of a rental car using a tablet.
Keywords: Mobile Communication, Mobile Applications, Mobile Usability and Mobile User Experience
 

Individual Specialisation

An individual, interdisciplinary specialisation is also possible. In this case, elective modules can also be mixed from all three specialisations according to one's own interests. In this case, no specialisation will be shown in the diploma.

HOW TO APPLY

Applications for this programme must be submitted online via the application portals for Master’s degree courses at Esslingen University of Applied Sciences.

The deadlines for submitting applications are

  • 15 January for the summer semester
  • 15 July for the winter semester.

Information on the accompanying documents which must be submitted can be found in the

checklist for Master’s programmes.

You can commence your studies in either the winter or the summer semester.

ADDITIONAL DOCUMENTS WHICH MUST BE SUBMITTED WITH YOUR APPLICATION:

Appendix to the application for admission

Applicants who obtained their degree at a foreign university

Esslingen University of Applied Sciences requires a university degree gained at 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 Computer Science - A future-proof course of study

All graduates of the Master's programme in Applied Computer Science have sound knowledge in the core areas of Advanced Software Engineering, IT Management, IT Security Engineering and Theoretical Computer Science. This knowledge from the core areas enables them to work in an engineering and scientific manner, to methodically execute and manage software projects and to focus on IT security. In addition, both research projects acquire technical and social skills, such as abstraction skills, system analytical thinking as well as team and communication skills, which prepare for future management tasks.

 

Major field of study Autonomous Systems

Graduates of the major field of study in Autonomous Systems have additional sound knowledge in the application areas of data fusion, machine vision, machine learning, control engineering, high performance computing and automotive systems design. They are particularly capable of methodically developing autonomous, networked systems. You are able to work on complex tasks from development and research in an engineering and mathematical way. Starting from the abstraction of the problem, mathematical formulation and modelling, they are able to derive intelligent algorithms or develop them further if necessary.

The typical occupational fields are activities as a technical expert or manager in the field of industry 4.0, Internet of Things or automated driving.

 

Major field of study Business Intelligence

Graduates of the Business Intelligence major field of study additionally have sound knowledge in the application areas Data Mining, Intelligent Data Analytics, Cloud Computing and Advanced Data Models.
They are able to handle complex tasks from development and research in an engineering and mathematical manner. They are particularly capable of systematically analyzing large amounts of data, deriving important features and gaining essential insights from them.

The typical occupational fields are activities as a technical expert or manager in the field of data science or in the field of digitalization in business practice.

 

Major field of study Mobile Computing

Graduates of the major field of study in Mobile Computing have sound knowledge in the application areas Mobile Applications, Mobile Communication, Mobile User Experience and Web Services. They are able to work on complex tasks from development and research in an engineering-scientific manner. They are particularly qualified to methodically develop distributed software applications for mobile devices with special consideration of usability, user experience and IT security.

The typical professional fields are activities as a technical expert or manager in the field of app development, Internet of Things or software development for mobile systems.


Graduates of this Master's programme are highly qualified for a management position in development and research.

The Master’s programme offered by the Department of Information Technology has been successfully accredited by ACQUIN accreditation agency.

ACQUIN accreditation certificate Esslingen University of Applied Sciences Master programme Applied Informatics

Further information on the accreditation and the ACQUIN Institute is available at www.acquin.org

Apply for summer semester 2020!

Apply Online until January 15th 2020

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Andreas Rößler
Prof. Dr.-Ing. Andreas Rößler