Applied Computer Science (M.Sc.)
Facts and Figures
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 |
| Application Periods | 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) |
| Specialisation | Autonomous systems 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. Data science 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. IT security 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. |
Application and Admission
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:
Appendix to the application for admission
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).
Modules
| 3. Semester | Master ThesisPrerequisites: Learning Outcomes: Knowledge - professional competences The students know Skills - methodical competences Students are able to Interdisciplinarity - multidisciplinary competences Students can Content: - Problem analysis and delimitation of the topic Type of teaching and language of instruction: Scientific PublicationPrerequisites: Learning Outcomes: Knowledge - professional competences The students know Skills - methodical competences Students are able to Interdisciplinarity - multidisciplinary competences Students can Content: Type of teaching and language of instruction: Examination: |
|---|---|
| 2. Semester |
Advanced Software Engineering
Advanced Software EngineeringPrerequisites: Learning Outcomes: Knowledge - professional competences The students know Skills - methodical competences Students are able to Interdisciplinarity - multidisciplinary competences Students can Content: Type of teaching and language of instruction: Examination:
Artificial Intelligence
Artificial IntelligencePrerequisites: Learning Outcomes: Knowledge - professional competences The students know
Skills - methodical competences Students are able to
Interdisciplinarity - multidisciplinary competences Students can
Content:
Type of teaching and language of instruction: Examination: Elective 3Prerequisites: Learning Outcomes: Content: Type of teaching and language of instruction: Examination: Elective 4Prerequisites: Learning Outcomes: Content: Type of teaching and language of instruction: Examination: Research Project 2Prerequisites: Learning Outcomes: Knowledge - professional competences The students know Skills - methodical competences Students are able to Interdisciplinarity - multidisciplinary competences Students can Content: Type of teaching and language of instruction: Examination: |
| 1. Semester |
Theoretical Computer Science
Theoretical Computer SciencePrerequisites: Learning Outcomes: Knowledge - professional competences The students know
Skills - methodical competences Students are able to
Interdisciplinarity - multidisciplinary competences Students can
Content:
Type of teaching and language of instruction: Examination: Security EngineeringPrerequisites: Learning Outcomes:
Students are proficient in risk assessment methods and are able to select and apply appropriate methods for the secure design, implementation and operation of an IT system. Students will be able to analyse and evaluate the IT security of applications. They are able to systematically develop and present appropriate IT security solutions. Knowledge - professional competencies The students know: Skills - methodical competences Students are able to Interdisciplinarity - multidisciplinary competences Students can Content: - Discrete Mathematics Type of teaching and language of instruction: Examination: Elective 1Prerequisites: Learning Outcomes: Content: Type of teaching and language of instruction: Examination: Elective 2Prerequisites: Learning Outcomes: Content: Type of teaching and language of instruction: Examination: Research Project 1Prerequisites: Learning Outcomes: Knowledge - professional competences The students know Skills - methodical competences Students are able to Interdisciplinarity - multidisciplinary competences Students can Content: Type of teaching and language of instruction: Examination: |
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)Career prospects
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.
Accreditation
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.
