Qualification Goals
Inhalt
- General remarks
- Bachelor Computer Science
- Bachelor Aerospace Informatics
- Bachelor Games Engineering
- Bachelor Computer Science and Sustainability
- Bachelor Artificial Intelligence and Data Science
- Master Computer Science
- Master Aerospace Informatics
- Master Satellite Technology
- Master Artificial Intelligence & Extended Reality (eXtended Artificial Intelligence (XtAI))
- Master Artificial Intelligence
General remarks
As part of the implementation of the Bologna Process to establish a European Higher Education Area, the Faculty of Mathematics and Computer Science has set itself the goal of ensuring that students generally complete their studies with a Master's degree. The faculty therefore regards the Bachelor's and Master's programmes it offers as an overall concept with a consecutive curriculum. The Bachelor's degree in Computer Science or Aerospace Informatics has an independent professional qualification profile, but above all lays the foundations for the respective consecutive Master's programmes in Computer Science and Aerospace Informatics, as well as for interdisciplinary Master's degree programmes with a strong focus on computer science.
Computer scientists work in the field of computer science. They conduct research or apply computer science, primarily in hardware and software development and information technology (IT). Studying computer science provides the necessary professional skills, knowledge and abilities required to train IT specialists in a company. The Institute of Computer Science actively maintains contact with companies in the business world and organises in-house exhibitions, among other things. Teaching in computer science combines agile, knowledge-based and creative work in a high-performance culture with process orientation and scalability. With the ongoing digitalisation of society, computer science plays a central role in technological progress.
Computer science is the study of information, information representation, information processing and transmission, and information processing and transmission systems. Aerospace Informatics and Games Engineering are specialisations of general computer science.
The formulation and continuous development of professional and qualification objectives is carried out by those responsible for the degree programme, taking into account the recommendations of the professional association Gesellschaft für Informatik (German Informatics Society), and is discussed by the study commission on an ad hoc basis, e.g. in the event of significant changes to a degree programme or after a subject evaluation has been carried out. Changes are submitted to the faculty board for approval. This ensures a continuous development and improvement process in the QM system at all times.
Mission Statement
The guiding principle of the University of Würzburg and also of the Faculty of Mathematics and Computer Science is ‘veritati’. We are committed to the pursuit of knowledge and truth in teaching and research, as is also strived for by the classical Humboldtian university in the community of students and teachers. The aim is to awaken and promote a willingness to engage in self-study and lifelong learning, as well as the ability to critically reflect on the current state of knowledge. A basic prerequisite for high-quality teaching is ensuring sufficient personnel and space. Continuous exchange with students, their participation in committees, and mutual learning form the basis for discussion and the common pursuit of improvement.
A range of quality assurance instruments supports this:
- student evaluation of all courses and degree programmes,
- surveys of first-year students,
- analysis of study progress,
- surveys of graduates,
- close contact with student representatives.
The qualification objectives for individual courses and for the entire programme are derived from a common understanding of the subject matter agreed upon by the teaching staff.
In order to qualify for the degree programmes offered, the following objectives apply in accordance with the levels of the German and European Qualifications Framework:
- Covering the breadth of computer science in research and teaching, promoting interdisciplinarity
- Successfully continuing the scientific tradition at the highest level across a broad range of subjects
- Designing research-related teaching at a high level (‘state of the art’)
- Fostering dialogue between teachers and students and jointly shaping studies and teaching
- Promoting international networking at all levels of professional development in computer science
- Promoting the acquisition of knowledge and its responsible use
- Promoting the development of independent, critically reflective thinking
- Promoting awareness of the evaluation of new knowledge and its application
- Supporting personal development in studies and research
- Utilising scientific and didactic research foundations
- Design teaching to be career-oriented, theoretically reflective and practice-oriented
- Qualify students for the IT job market
- Strengthen research and teaching as core tasks
- Optimise administrative support processes in terms of effectiveness and efficiency
- Promote people of different origins and genders equally
- Make studies, family and career compatible
The subject-specific qualification objectives and the objectives for professional competence are set out in the subject-specific regulations for the individual degree programmes. The objectives for social engagement and personal development are a fundamental component of every degree programme offered at the university and are reflected in specially designed course formats (For a description, see the General Study and Examination Regulations and subject-specific provisions). The qualification objectives are part of the faculty's objectives and are based on the recommendations of the German Informatics Society as a subject-specific reference framework in coordination with the levels of the German Higher Education Qualifications Framework (HQR), the German Qualifications Framework (DQR) and the European Qualifications Framework (EQF).
Bachelor Computer Science
Bachelor Aerospace Informatics
Bachelor Games Engineering
Bachelor Computer Science and Sustainability
Bachelor Artificial Intelligence and Data Science
Master Computer Science
Master Aerospace Informatics
Master Satellite Technology
FSB Elite Subject Satellite Technology in the Bavarian Elite Network 2018-05: §2 (2):
As part of the Elite Subject Satellite Technology (SaTec) in the Bavarian Elite Network, students acquire the special knowledge and skills necessary to apply interdisciplinary content from physics, computer science, geosciences, electrical engineering, mathematics, natural sciences and engineering in the field of space technology to solve challenging problems; In particular, small and micro satellite technologies are addressed.
The established technical language in space research across countries is English: subsystems, datasheets and other space components are developed and created in English, and international working groups and networks, symposiums and conferences are usually conducted in English.
Most of the specialist literature is also available exclusively in English. It is highly likely that graduates will later work in an English-speaking environment; for example, the lingua franca of launch operators in satellite control centres is English. It is therefore essential that graduates of the programme are completely confident in their use of English (technical language). The programme is therefore conducted entirely in English.
Since space technology requires a novel and interdisciplinary approach, SaTec brings together highly talented applicants from a diverse target group and researchers from all over the world in the Bavarian Elite Network.
Furthermore, the programme prepares students for scientific work in the field of computer science and, if applicable, for a Dr. rer. nat.
Upon successful completion of their studies, students will have acquired the following skills:
- An overview of the interrelationships within the field of ‘space technology and its areas of application’;
- The ability to apply the technical content of this discipline as well as scientific methods and findings; and
- the specialist knowledge required for the transition to professional and research practice. For example, they can
- analyse satellite orbits, model constraints and perturbations, and design orbits for missions,
- plan and develop a space mission from analysis and design to implementation. They can define mission constraints and use them to design and develop the necessary satellite subsystems,
- integrate payloads (sensors and instrumentation) into a satellite mission,
- implement control algorithms for satellite attitude control and orbit control within the mission constraints,
- design telecommunications under different time delay constraints and implement appropriate protocols to carry out remote operation of space probes from Earth,
- design and develop various space systems (such as satellites for remote observation, landing devices for other planets, planetary rovers for surface exploration, small and micro satellites) and
- implement applications of space technology for tasks in Earth observation, planetary exploration and astronomy, as well as telecommunications.
Additional information (not part of the study regulations): In addition to the learning outcomes described in the module descriptions, students also learn the elements formulated in the university's mission statement and the quality and qualification objectives of the Faculty of Mathematics and Computer Science:
- For the development of their personality
- They have acquired scientific thinking and working skills as subject experts at the appropriate level 7 of the Higher Education Qualifications Framework.
- They apply the rules of good scientific practice even in areas outside their field and, as experts in their field, are able to present complex interrelationships in a comprehensible manner tailored to specific target groups.
- They are aware of their socio-political responsibility as academics trained in computer science and are able to communicate technically sound assessments to a broader public.
Career goals
Graduates of the Satellite Technology programme have a wide range of employment opportunities open to them, as their ability to analyse and solve complex problems enables them to quickly familiarise themselves with even unfamiliar topics. A master's degree in Satellite Technology therefore offers a wide range of opportunities. Thanks to their interdisciplinary training, graduates are versatile and have excellent and secure job and career opportunities in a wide variety of industries, such as
- Aerospace industry
- Automotive industry and suppliers
- System administration and development
- Security expert
- Data and system analyst
- in industrial research and development centres
- Developer in virtually all companies and public authorities
- Software designer in virtually all companies and public authorities
- Teaching at schools, colleges and universities
- As an IT expert in companies or as a freelancer
- In the patent sector (law firms and patent offices)
- in management consultancies, financial services providers, insurance companies and banks
- in the public sector
- start-ups and founders
Despite changing economic conditions, the job market prospects for graduates of the Satellite Technology programme are very good.
Qualification goals
Upon successful completion of the programme, graduates will have acquired the following skills:
- Graduates will have a high level of abstract thinking, analytical thinking skills, strong problem-solving skills and the ability to structure complex relationships.
- Graduates will have a broad overview of the sub-areas of satellite technology and interdisciplinary relationships.
- They will have in-depth knowledge of the mathematical, theoretical and control engineering fundamentals of satellite technology, as well as a sound knowledge of the theoretical and practical methods for acquiring new insights.
- They are able to apply their skills and knowledge in projects and have knowledge of the current state of research in at least one specialised area of satellite technology.
- They are able to familiarise themselves with the current state of research in a specialised area on the basis of primary literature, particularly in English.
- You will be able to independently apply mathematical methods and techniques of satellite technology to specific practical or theoretical tasks, develop solutions, and interpret and evaluate the results.
- You will be able to work independently on problems in satellite technology, even with incomplete information, using scientific methods and observing the rules of good scientific practice, and to present, evaluate and defend the results and consequences of your work.
- They are able to discuss satellite technology issues with experts at the cutting edge of research and explain the context to non-scientists.
- As computer scientists, they have the ability to participate in or lead interdisciplinary and international teams of (natural) scientists and/or engineers in research, industry and business.
Scientific qualification
| Qualification goal | Implementation | Goal achievement |
|---|---|---|
| Graduates are able to apply advanced mathematical, control engineering and practical principles of satellite technology. | Elective lectures and exercises | Written examinations and formative assessment in practical exercises |
| Graduates are able to draw on in-depth knowledge in at least one subfield. | Elective lectures and exercises | Written examinations or individual oral examinations |
| Graduates are able to conduct, analyse and evaluate advanced hardware- and/or software-driven experiments and present the results obtained. | Modules in the areas of system analysis, system design, system implementation | Presentation of experiment implementation and evaluation in report |
| Graduates are able to familiarise themselves with new areas of work with the aid of specialist literature and to interpret and evaluate the results. | Seminar | Seminar presentation, seminar paper |
| Graduates possess abstract thinking skills, analytical thinking, problem-solving skills and the ability to structure advanced interrelationships. | All modules | Module examinations, thesis |
| Graduates are able to apply advanced methods of satellite technology to specific practical or theoretical tasks, develop solutions and interpret and evaluate the results. | Project work for thesis | Project report and thesis |
| Graduates apply the theoretical and practical methods they have learned in a coherent manner to demonstrate that they are capable of applying the concepts of scientific work. | Thesis | Thesis |
| Graduates are able to present and defend their knowledge and findings to a specialist audience. | Seminars, elective modules and thesis | Seminar presentation and thesis, formative assessment through presentation and discussion in practical exercises |
Qualification to take up employment
| Qualification goal | Implementation | Achievement of goals |
|---|---|---|
| Graduates are able to present and represent their knowledge and insights to a specialist audience. | Seminar presentation and thesis | Seminar presentation |
| Graduates are able to work constructively and purposefully in a team and resolve conflicts that arise (teamwork skills). | Practical courses, exercises | Group work |
| Graduates can apply the skills they have acquired in different intercultural contexts and in international teams. | Practical courses | Group work |
| Graduates are familiar with important requirements and working methods in the commercial environment as well as in research and development. | Use of standard hardware and software from industry and working on problems from the commercial environment, excursions | Report and thesis |
| Graduates are able to analyse and solve problems and familiarise themselves with less familiar topics. | Guest lectures, practical courses, seminars, thesis | Seminar presentation and thesis |
Personal development
| Qualification goal | Implementation | Achievement of goals |
|---|---|---|
| Personal responsibility, independence, time management, teamwork | Alle Module | Formative and summative assessment of module performance |
| Graduates are familiar with the rules of good scientific practice and observe them. | von Beginn bis Ende des Studiums und danach | Minutes, reports and thesis |
| Graduates are able to present and defend their knowledge and findings to a specialist audience. | Seminare und Thesis | Seminar presentation and thesis |
Qualification for social engagement
| Qualification goal | Implementation | Achievement of goals |
|---|---|---|
| Graduates are able to critically reflect on developments in the information sector and understand their impact on the economy, society and the environment (technology assessment). | Elective modules, primarily seminars | Seminar presentation, written examination and/or individual oral examination |
| Graduates have expanded their knowledge of economic, social, cultural and other issues and can take a reasoned position on them. | Topical references in courses related to modules | Seminar and presentation |
| Graduates develop the willingness and ability to contribute their skills to participatory processes and to actively participate in decision-making. | Committees and student council | Formative through committee work and meetings |
Master Artificial Intelligence & Extended Reality (eXtended Artificial Intelligence)
FSB Master eXtended Artificial Intelligence (XtAI) 2020-03: §1 (2): The course is conducted entirely in English. The programme provides students with advanced skills and competencies for the analysis, development and evaluation of artificial intelligence (AI) systems. A particular focus of the programme is on hybrid intelligence systems at the interface between artificial and human intelligence. Current X-Reality techniques (virtual, mixed and augmented reality) expand the range of AI methods, enable the testing of alternative AI approaches and, as a field of application, highlight synergies between humans and computers for cooperative and user-friendly AI.
Furthermore, the programme prepares students for scientific activities in the field of computer science, and, if applicable, for a doctorate (Dr. rer. nat.).
Additional information (not part of the study regulations): In addition to the learning outcomes described in the module descriptions, students also learn the elements formulated in the university's mission statement and the quality and qualification objectives of the Faculty of Mathematics and Computer Science:
- For the development of their personality
- They have acquired scientific thinking and working skills as subject experts at the appropriate level 7 of the Higher Education Qualifications Framework.
- They apply the rules of good scientific practice even in areas outside their field and, as experts in their field, are able to present complex interrelationships in a comprehensible manner tailored to specific target groups.
- They are aware of their socio-political responsibility as academics trained in computer science and are able to communicate technically sound assessments to a broader public.
Career goals
Graduates of the eXtended Artificial Intelligence programme learn advanced data handling and processing skills through their work in the field of artificial intelligence, which qualifies them for a wide range of applications.
In addition, graduates have a wide range of employment opportunities open to them, as their ability to analyse and solve complex problems enables them to quickly familiarise themselves with less familiar topics. A Master's degree in eXtended Artificial Intelligence therefore offers a wide range of opportunities. Thanks to their interdisciplinary training, graduates are versatile and have excellent and secure job and career opportunities in a wide variety of industries, such as:
- Customer analysis and sales forecasting in wholesale and consumer goods
- Development of extended reality-based training systems and tutorials in virtually all companies and public authorities
- Process optimisation in transport and traffic
- Service optimisation in IT and media
- Forecasting cost and energy efficiency potential in the energy industry
- Data and systems analyst
- Developer in virtually all companies and public authorities
- Software designer in virtually all companies and public authorities
- Consultant
- Automotive industry
- Healthcare
- System administration and development
- Security expert
- Industrial research and development centres
- Teaching at schools, colleges and universities
- IT expert in both companies and as a freelancer
- Patent law (law firms and patent offices)
- Management consultancies, financial service providers, insurance companies and banks
- Public service
- Start-ups and founders
Despite changing economic conditions, the job market prospects for graduates of the eXtended Artificial Intelligence programme are very good.
Qualification goals
Upon successful completion of the programme, graduates will have acquired the following skills:
- Graduates will have a high level of abstract thinking, analytical thinking skills, strong problem-solving skills and the ability to structure complex relationships.
- Graduates will have a broad overview of the subfields of artificial intelligence and interdisciplinary relationships.
- They will have in-depth knowledge of the mathematical and theoretical foundations of artificial intelligence as well as a sound knowledge of the theoretical and practical methods for acquiring new insights.
- They are able to apply their skills and knowledge in projects and have knowledge of the current state of research in at least one specialised area of artificial intelligence.
- They are able to familiarise themselves with the current state of research in a specialised field on the basis of primary literature, particularly in English.
- They are able to independently apply mathematical methods and techniques of artificial intelligence to specific practical or theoretical tasks, develop solutions, and interpret and evaluate the results.
- They are able to work independently on problems in artificial intelligence, even with incomplete information, using scientific methods and observing the rules of good scientific practice, and to present, evaluate and defend the results and consequences of their work.
- They are able to discuss artificial intelligence issues with experts at the cutting edge of research and to explain contexts to non-scientists.
- As computer scientists, they have the ability to participate in or lead interdisciplinary and international teams of (natural) scientists and/or engineers in research, industry and business.
Scientific qualification
| Qualification goal | Implementation | Achievement of goals |
|---|---|---|
| Graduates are able to apply advanced mathematical, technical, theoretical and practical concepts of artificial intelligence. | Elective lectures and exercises | Written examinations and formative assessments during practical training |
| Graduates are able to draw on in-depth knowledge in at least one subfield. | Elective lectures and exercises | Written examinations or individual oral examinations |
| Graduates are able to conduct, analyse and evaluate advanced hardware- and/or software-driven experiments and present the results obtained. | XtAI Labs | Presentation of experiment implementation and evaluation in a report |
| Graduates are able to familiarise themselves with new areas of work with the aid of specialist literature and to interpret and evaluate the results. | Seminar | Seminar presentation, seminar paper |
| Graduates possess abstract thinking skills, analytical thinking, problem-solving skills and the ability to structure advanced contexts. | All modules | Module examinations, thesis |
| Graduates are able to apply advanced methods of eXtended Artificial Intelligence to specific practical or theoretical tasks, develop solutions and interpret and evaluate the results. | Project work for thesis | Project report and thesis |
| Graduates apply the theoretical and practical methods they have learned in a coherent manner to demonstrate that they are capable of applying the concepts of scientific work. | Thesis work | Thesis |
| Graduates are able to present and defend their knowledge and findings to a specialist audience. | Seminars, elective modules and thesis | Seminar presentation and thesis, formative assessment through presentation and discussion during practical training |
Qualification to take up employment
| Qualification goal | Implementation | Achievement of goals |
|---|---|---|
| Graduates are able to present and defend their knowledge and insights to a specialist audience. | Seminar lecture and thesis | Seminar presentation |
| Graduates are able to work constructively and purposefully in a team and resolve conflicts that arise (teamwork skills). | XtAI Labs, exercises | Group work |
| Graduates can apply the skills they have acquired in different intercultural contexts and in international teams. | Practical courses | Group work |
| Graduates are familiar with important requirements and working methods in the commercial environment as well as in research and development. | Use of common hardware and software from industry and working on problems from the commercial environment | Report and thesis |
| Graduates are able to analyse and solve problems and familiarise themselves with less familiar topics. | XtAI Labs, seminars, thesis | Seminar presentation and thesis |
Personal development
| Qualification goal | Implementation | Achievement of goals |
|---|---|---|
| Personal responsibility, independence, time management, teamwork | All modules | Formative and summative assessment of module performance |
| Graduates are familiar with the rules of good scientific practice and observe them. | from the beginning to the end of the programme and beyond | Minutes, reports and thesis |
| Graduates are able to present and defend their knowledge and findings to an expert audience. | Seminars and thesis | Seminar presentation and thesis |
Qualification for social engagement
| Qualification goal | Implementation | Achievement of goals |
|---|---|---|
| Graduates are able to critically reflect on developments in the information sector and understand their impact on the economy, society and the environment (technology assessment). | Elective modules, primarily seminars | Seminar presentation, written examination and/or individual oral examination |
| Graduates have expanded their knowledge of economic, social, cultural and other issues and can take a reasoned position on them. | Topical references in courses related to modules | Seminar and presentation |
| Graduates develop the willingness and ability to contribute their skills to participatory processes and to actively participate in decision-making. | Committees and student council | Formative through committee work and meetings |
