M.Sc. AI Engineering
| Degree awarded | Master of Science (M.Sc.) |
|---|---|
| Duration and credits | 4 semesters; 120 ECTS credits |
| Starts in | April (summer semester) and October (winter semester) |
| Language of instruction | English |
About the programme
Artificial intelligence (AI) now permeates all areas of our lives and holds enormous potential for the future. Mathematics and computer science provide the foundations for understanding and developing core AI technologies.
In the Master of Science programme in Artificial Intelligence Engineering (AI Engineering) you will deal with scientific theories, algorithms and methods for designing and developing AI-based systems. You will also acquire the ability to integrate artificial intelligence into existing real-world systems (e.g. media systems, information systems, industrial processes) or to develop these yourself.
In addition, you will study artificial intelligence from the perspective of other academic disciplines, as the widespread use of AI-based systems raises not only technical but also legal, ethical, social and economic questions.
Features
- Research-oriented master's degree leading to excellent career opportunities in a multitude of industries
- Study a subject at the interface between computer science and mathematics and gain insights into a wide range of cross-disciplinary areas of application (e.g. media, Industry 4.0, mobility)
- Broad selection of state-of-the-art subjects with an international outlook
- Superb staff-student ratio: study in small learning groups
- The Chairs and institutes maintain excellent relations with industrial and business partners
- The whole programme is taught in English
The demand for AI competencies in the labour market is increasing significantly. With a master's degree in Artificial Intelligence Engineering, you are able to work independently or take on executive positions and challenging jobs in the private and public sectors or academia. This degree opens up outstanding career opportunities in a wide range of industries, such as:
- systems development and data analysis in the area of digital media
- software engineering and IT systems development
- data analysis in the financial and service sectors
- development of AI-based solutions in the transport and mobility sector
- control of industrial plants; Industry 4.0
- the medical and pharmaceutical industries as well as life sciences
- insurance companies and banks
Finally, the degree opens up an academic career path if you continue studying for a doctorate in artificial intelligence development.
The M.Sc. AI Engineering programme is divided into compulsory and compulsory elective module areas. In the compulsory area you will attend the Introduction to AI Engineering lecture (with accompanying exercise course) as well as an AI Engineering seminar. You will also write your master's thesis in this area.
You can find all the modules in the module catalogue.
Compulsory elective modules
The compulsory elective area is divided into the following six module groups:
You will study the construction of deterministic and stochastic algorithms, their implementation, evaluation and optimisation as well as the modelling and complexity analysis of discrete and continuous problems using mathematical methods. In addition, you will acquire fundamental knowledge of mathematical logic, stochastics, functional analysis and discrete mathematics to enable a deeper algorithmic mathematical understanding of AI-based systems.
1) Algorithm Engineering and Mathematical Modelling
You will examine methods and algorithms of symbolic and sub-symbolic artificial intelligence and machine learning (e.g. reinforcement learning, knowledge representation and deduction systems). Furthermore, you will study underlying theories of learning systems and the application of algorithmic and mathematical principles for the realisation of artificial intelligence.
2) Artificial Intelligence Methods
You will learn methods and structured process models for the development of AI-based systems. In particular, these include testing and evaluation strategies (e.g. generative adversarial testing or simulation), data and knowledge modelling methods, methods and systems for operationalising AI-based systems and the evaluation of properties such as security, traceability, reliability, explicability and transparency.
3) Artificial Intelligence Systems Engineering
You will gain insight into different application areas and possibilities of artificial intelligence, such as speech, text and media analysis, business information systems or energy informatics. Also covered are the specific characteristics of the application domains and their influence on the selection of AI methods and the development of AI-based systems.
4) Artificial Intelligence Applications
You will learn about the legal, ethical, social and economic considerations involved in using AI-based systems and reflect on the societal impact of AI. Language courses and writing workshops, soft-skills seminars and practical courses will complement your academic studies and prepare you for your professional life.
5) Cross-Cutting Concerns
You will learn to familiarise yourself independently with the current state of research in the AI Engineering field, collate this information and deliver oral presentations. You will acquire in-depth knowledge of research work in the field of artificial intelligence and get the preparation for a future research role.
6) Research Seminars
Unless English was the language of instruction for your prior university education, you should provide a language certificate at level B2 of the Common European Framework of Reference for Languages (CEFR), such as:
- TOEFL (567 paper-based, 87 internet-based, ITP 543 'silver' or better)
- IELTS (score 5.5)
- Cambridge English Language Assessment at level 'Advanced' (CAE) or 'Proficiency' (CPE)
- or an equivalent English language certificate. A first degree or secondary education completed exclusively in English also counts as proof of English-language proficiency.
To facilitate living in Germany, you should ideally also have German language skills at level A1 CEFR (beginner's level). If cannot provide a certificate but meet all other requirements, you will still be admitted to the programme; however, you will complete a compulsory beginner's German course during the first year of study on top of your regular modules.
Apply now!
Get detailed information on the application process and start your application – or e-mail us your questions.
Video introducing the degree programme
Playing the video will send your IP address to an external server.
You are eligible for this degree programme if the following applies to you:
- You have an undergraduate university degree in computer science or mathematics with a computer science/mathematics component of at least 120 ECTS credits.
Out of these 120 ECTS credits: - If you completed a four-year non-ECTS degree, the 120 ECTS credit requirement is deemed to be met if two-thirds of your credit points were earned in computer science/mathematics-related modules/courses.
This is further qualified as follows:
- Your degree must have been earned over a course of study of a standard length of three years or more.
- The final grade for your first degree must be 2.7 or better under the German marking system, or the relevant equivalent final grade in a foreign marking system.
- If your final grade is not 2.7 (or the equivalent foreign grade) or better, you may still apply if you can prove that you ranked among the best 70% of graduates within your particular degree programme in the academic year in which your final certificate was issued (i.e. your cohort).
- In that case you should provide an official certificate from your university registrar specifying the total number of graduates of your cohort as well as, importantly, the rank number/percentile you attained on the basis of your final grade.
- In that case you should provide an official certificate from your university registrar specifying the total number of graduates of your cohort as well as, importantly, the rank number/percentile you attained on the basis of your final grade.
- If your final grade is not 2.7 (or the equivalent foreign grade) or better, you may still apply if you can prove that you ranked among the best 70% of graduates within your particular degree programme in the academic year in which your final certificate was issued (i.e. your cohort).
- As part of the application you must submit an English or German-language abstract/summary of your undergraduate dissertation/bachelor's thesis/final year project.
- If you did not write a dissertation/thesis as a formal part of your prior degree programme, you may instead submit an academic research paper or publication that demonstrates your ability to solve a scientific research problem independently.
- If you did not write a dissertation/thesis as a formal part of your prior degree programme, you may instead submit an academic research paper or publication that demonstrates your ability to solve a scientific research problem independently.
- If you do not have your degree certificate and final transcript at the time of application:
- If you cannot provide your final bachelor's (or equivalent) certificate and transcript but are in the final semester of your degree programme at the time of application, you may include the transcripts thus far available reflecting the courses previously taken as well as all results and current marks/grades.
- You will then be considered for a conditional offer, in which case you would have to present your degree certificate and final transcript at enrolment or within 10 weeks after the first day of lectures.
- This will be approved only if you have already completed all coursework and assessments for your first degree at the beginning of the degree programme at the University of Passau and have submitted a (preliminary) transcript showing an average (preliminary) grade of 2.7 or the equivalent foreign grade.
- If you cannot provide your final bachelor's (or equivalent) certificate and transcript but are in the final semester of your degree programme at the time of application, you may include the transcripts thus far available reflecting the courses previously taken as well as all results and current marks/grades.
Please note that we only recognise degrees awarded by universities with 'H+' status in the Anabin database of the German Central Office for Foreign Education. You can check the Anabin database online or contact the International Coordinator of the faculty by e-mail if you do not understand German.
Share this page