Artificial Intelligence in Computer Science (M.Sc.)

The admission requirement is a profession-qualifying higher education degree (Bachelor’s or Diplom) in Computer Science or a degree programme that covers substantial parts of a Computer Science degree. The overall grade for this degree must be at least "good".

The language of teaching is English.

Language proficiency requirements apply for both English and German:

English B2

• School leaving certificate showing level B2
• Six years of English lessons at school (in lower secondary and upper secondary education, only if the language level is not stated on the certificate)
• IELTS (5.5, 6.0, 6.5)
• Cambridge Examinations: B2 First (formerly FCE), C1 Advanced (formerly CAE), C2 Proficiency (formerly CPE)
• TOEFL: TOEFL iBT (94–72); TOEFL iBT (4.5–4); TOEFL ITP Level 1 (626–543)
• UNIcert® II
• Telc B2 Certificate
• Pearson PTE Academic 75 – 59
• TOEIC: TOEIC Listening and Reading Test (944–785); TOEIC Speaking Test (179–160); TOEIC Writing Test (179–150) (All 4 modules must have been completed (as double modules where applicable).)

German A1

• Goethe Certificate A1
• ÖSD Certificate A1
• telc® German A1
• UNIcert® Basis DaF
• Certificate from one of the binational universities funded by the DAAD (e.g. GJU, GUC, TDU, etc.) confirming the successful completion of German language courses totalling at least 12 ECTS credits, including an examination (mark), or confirming successful participation in a language proficiency test, in each case confirming level A1 (or higher)
• Certificate from a language centre at a state or state-recognised higher education institution in Germany, or from a recognised higher education institution in an EU Member State, Iceland, Liechtenstein or Norway (EU + EEA), confirming successful participation in a German course with an examination (grade) or successful participation in a language proficiency test, in each case confirming that level A1 has been achieved
• Proof of eligibility for admission to a German higher education institution

Admission is possible every winter term.

This degree programme has restricted admission (Numerus Clausus).

Information on application, admission and enrolment is available from the Study Service at Trier University of Applied Sciences.

We would like to encourage you to spend a semester of your degree programme abroad. The last two semesters of both Bachelor’s and Master’s programmes are suitable for this. You can take courses at foreign universities that fit into your degree programme in terms of content and scope. You can also carry out your project or final thesis in collaboration with the relevant partner institution.

Information sessions on study abroad programmes for interested students in the Department of Computer Science are held annually in December in collaboration with the International Office. Announcements are made via email. During these sessions, you will be informed about opportunities for studying abroad, partner universities, funding, organisational matters, recognition of credits, deadlines and the further procedure. Students must submit an informal application to the Faculty’s International Coordinator. Applications are assessed by the Faculty’s professors, and a selection is made. Students will be informed of their nomination shortly after the application deadline at the end of January.

Further Information

Graduates of the Master’s programme in Artificial Intelligence in Computer Science possess in-depth academic and application-oriented skills in the fields of artificial intelligence and computer science. In particular, they are able to

• demonstrate in-depth knowledge of, and proficiency in the methods and tools of artificial intelligence and software engineering, and apply these to the development, analysis and further refinement of intelligent software systems, as well as to the resolution of complex informational issues.
• understand artificial intelligence as an integral part of modern computer science and apply AI methods professionally and thoughtfully, both for the development of intelligent systems and as a tool to support software development, data analysis and other informational processes.
• independently acquire new scientific insights and technologies by consulting international academic literature, particularly in English, to critically evaluate scientific developments and to further develop their knowledge independently.
• analyse complex problems, select appropriate scientific methods, develop innovative solutions and systematically implement, evaluate and critically reflect upon them.
• tackle scientific questions independently, as well as to document and present scientific results in a comprehensible manner, and to communicate them in a way appropriate to the audience, both in English and – based on the German language skills acquired during the degree programme – in German.
• plan, organise and successfully carry out projects independently, as well as work constructively within interdisciplinary and international teams and take on leadership and coordination roles.
• discuss current research and development topics in artificial intelligence with experts from various disciplines, and present complex technical concepts in a way that is understandable to different target audiences.
• assess AI systems in terms of data protection, data security, transparency, explainability, fairness and social impact, and to take into account the principles of responsible and ethical artificial intelligence in their development and deployment.critically reflect on the impact of digital technologies and AI systems on the economy, society, the environment and individuals, and to design technical solutions responsibly, taking into account legal, social and ethical frameworks.
• demonstrate the language skills required to communicate effectively in German-speaking professional and academic contexts and to integrate successfully into the German labour market in the long term.
• work independently in the field of computer science, whilst taking due account of social responsibility, cultural and ethical aspects, and the principles of inclusion, diversity and equality.
• take on demanding specialist and leadership roles in research, development and innovation on the basis of their academic qualifications, and to qualify for further academic qualifications, particularly through a PhD.

The Master of Science degree is an internationally recognised academic qualification in accordance with European guidelines. The Master’s degree certifies your ability to undertake academic work, broadens your career prospects and qualifies you for senior civil service positions or a PhD.

Successful completion of the Master’s programme in Artificial Intelligence in Computer Science qualifies graduates for demanding specialist and managerial roles in research, development and innovation. Graduates possess a scientifically sound specialisation in the field of artificial intelligence, as well as comprehensive skills in computer science and software engineering. This enables them to design, develop and evaluate AI-based systems and integrate them responsibly into complex applications. The skills acquired are deliberately cross-disciplinary in nature and open up career opportunities in a wide range of sectors, including industry, mobility, healthcare, finance, public administration and research institutions.

Typical areas of application include, in particular:

• development of intelligent software and AI systems,
• machine learning engineering and generative AI,
• data science and data-driven analytics,
• AI system architectures and ML-Ops,
• AI-supported software development and software engineering,
• IT and technology consultancy with a focus on artificial intelligence,
• research and development in companies and scientific institutions.

Depending on the individual focus of your studies, opportunities also arise in specialised fields such as explainable AI, autonomous systems, robotics, computer vision, natural language processing, AI ethics or safety-critical AI applications.

The Master’s degree also fulfils the requirements for further academic qualification through a PhD, as well as for careers in senior civil service positions. For international graduates, the German language skills acquired during the course lay the foundation for successful professional integration into the German labour market and broaden employment opportunities, particularly with German-speaking companies and public sector employers.