Master of Science in Artificial Intelligence
A rigorous English-taught programme focusing on theoretical and applied AI research, algorithms, and socially responsible AI development.
Best for:Best for students with a strong background in computer science, mathematics, or related fields who are passionate about theoretical AI research and its real-world applications.
Overview
The Master of Science in Artificial Intelligence at Brandenburg University of Technology Cottbus-Senftenberg is designed for students seeking to master fundamental AI research techniques and develop cutting-edge AI methods. This programme combines computer science, psychology, and mathematics to teach students how to design, test, validate, and implement complex AI procedures such as deep learning, Bayesian networks, and constraint-based programming. Students will explore the mathematical and algorithmic foundations of AI while also critically assessing the ethical and societal implications of AI applications. The curriculum includes mandatory internships and research projects with industry partners, ensuring practical experience alongside theoretical knowledge.
What you'll do
- Develop and implement advanced AI algorithms and models, including deep learning, Bayesian networks, and constraint-based programming.
- Conduct theoretical and applied research in AI, focusing on understanding and explaining mathematical and algorithmic models.
- Participate in mandatory internships to apply AI knowledge in industrial or research environments.
- Complete a Master’s thesis under academic supervision, contributing to AI research and development.
- Engage in seminars and laboratories to deepen understanding of AI techniques and their practical applications.
- Critically evaluate the ethical, societal, and practical implications of AI systems and their deployment.
Requirements
Degree required: Bachelor's degree in Computer Science, Artificial Intelligence, Mathematics with a focus on Computer Science, or a closely related field. The degree should be comparable to the Bachelor’s programme in Artificial Intelligence offered at BTU.
Degree offered: Master of Science (MSc)
Language: English proficiency at B2 level or equivalent (e.g., TOEFL iBT 79, IELTS Academic 6.0, Cambridge English B2 First, UNIcert® II).
Instruction: English (with optional German elective courses)
- Strong background in theoretical computer science and mathematics
- Proficiency in programming and algorithm design
- Understanding of fundamental AI techniques such as deep learning, Bayesian networks, and pattern recognition
- Ability to conduct theoretical and applied research independently
- Applicants must hold a Bachelor’s degree or equivalent qualification in a relevant field.
- No specific nationality restrictions, but application deadlines vary based on EU/non-EU status.
- No age restrictions mentioned.
Funding & terms
Programme and admissions
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How to apply
Deadline: 1 March - 15 August (Winter semester, EU applicants) / 1 March - 15 July (Winter semester, non-EU applicants); 1 November - 15 February (Summer semester, EU applicants) / 1 November - 15 January (Summer semester, non-EU applicants)
Applicants must submit their application through the uni-assist portal. Required documents include a completed application form, proof of degree, language proficiency certificate, CV, and any additional documents specified by the university. Applications are reviewed based on academic qualifications and language proficiency.
- Completed application form
- Proof of Bachelor’s degree or equivalent qualification
- Official English language proficiency certificate (B2 level or equivalent)
- Curriculum Vitae (CV)
- Passport-sized photograph
- Proof of health insurance coverage
Contact
International Relations Office· Admissions Contact
https://www.b-tu.de/en/artificial-intelligence-ms/faq#c395285
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