Requirements and Target Group: Who is the Master of Artificial Intelligence (M.Sc.) at IU suitable for?

With your Master's in AI, you could work as a Senior AI Scientist, as an AI Team Lead or as an AI Interaction Designer

The distance learning course "Applied Artificial Intelligence" (M.Sc.) at IU is aimed at graduates with a Bachelor's degree in technical, mathematical or natural science disciplines who want to expand their knowledge in the field of Artificial Intelligence (AI). The target group includes professionals in IT, engineering, mathematics, data science or related fields who are enthusiastic about the theoretical foundations, current methods and application areas of AI. It is particularly aimed at individuals who have already gained work experience and are now working in responsible positions in AI projects or aiming for a specialist focus, for example in Computer Vision, NLP, Robotics or autonomous systems. The 100% English-language distance learning programme is designed to be flexible and integrate easily into professional life, and is also open to international applicants or Germans living abroad.

Admission Requirements: What do you need for the Master's degree in Artificial Intelligence?

Completed first degree (Bachelor's or equivalent): A first degree with a minimum of 240 ECTS points (e.g. a regular German Bachelor's degree with 240 ECTS or a diploma) from a state-recognised university or college is required.

Final grade at least “Satisfactory” (up to 3.5): If the Bachelor's grade is lower, admission can still be considered through additional evidence (e.g. relevant Master's/MBA achievements of at least 20 ECTS or a completed relevant Master's degree).

Professional experience: At least 1 year of relevant, qualified work experience acquired after the first degree. Work experience gained during a dual study programme with relevant subject content may be recognised.

Prior education with fewer than 240 ECTS: Admission is possible with fewer ECTS in the following ways:

• 210 ECTS: Either by making up for courses worth 30 ECTS (during the Master's) or by providing evidence of at least one year of professional practice.
• 180 ECTS: Either by making up 30 ECTS and providing at least 1 year of work experience, or by providing evidence of a total of at least 2 years of relevant work experience.

Subject-specific knowledge: Proof of knowledge in the areas of "Advanced Mathematics", "Advanced Statistics" and "Programming with Python". If you lack the necessary knowledge, you can take the corresponding preparatory courses free of charge at IU.

English language skills: At least at level B2 of the Common European Framework of Reference for Languages. Accepted certificates include TOEFL (at least 80 points), IELTS (at least 6.0), Duolingo English Test (at least 95 points), Cambridge Certificate (at least grade B overall), or an English-language undergraduate degree. The certificate must not be older than 5 years at the start of the studies.

Alternative access without a Bachelor's degree: Those who do not have a first degree can qualify through the "Master for Professionals" route - here, (technical) Abitur, a completed 2-year vocational training, at least 6 years of relevant qualified work experience (3 of which in a managerial or expert role), and passing a preparation module (including seminar work and examination) at IU are required.

Personal requirements and characteristics

• Mathematical-technical interest: Since the course covers advanced mathematics, statistics and programming skills (especially Python), an interest and a solid basic understanding of these areas should be present.
• Good English skills: Since the entire course is conducted in English, a secure command of the specialist language and written communication (for example for seminar papers and presentations) is essential.
• Self-organisation and time management: Distance learning requires high self-motivation, reliable planning and independent learning - especially since module exams and learning units can be accessed flexibly.
• Analytical skills: Complex issues in AI, machine learning or data science require the ability to analyze information in a structured way and develop solution concepts.
• Team skills and communication strength: Many AI projects are implemented interdisciplinary; willingness to collaborate, networking skills and precise communication (also virtually) are helpful.
• Career goal orientation: The course is ideal for those aiming for a career in AI innovation, machine learning engineering, product management, research or consulting.

Study contents and acquired skills in the Master Artificial Intelligence at IU

In the Master's programme in Artificial Intelligence (M.Sc.) at IU International University, you will deal with basic and advanced methods of Artificial Intelligence (AI). The programme is fully in English and comprises 60 ECTS points. It combines theoretical expertise with practical applications.

• Foundations of AI: Machine Learning, Deep Learning, Reinforcement Learning, and Inference and Causality are central components. You will learn various learning methods, neural networks, and methods of probability theory.
• Practical transfer: In modules such as "Project: AI Use Case," you apply acquired knowledge directly in practical projects and case studies.
• Elective areas: You choose individual specialisations – for example, Applied Autonomous Driving, Computer Vision, Natural Language Processing (NLP), Industrial AI, AI in FinTech, or AI in Healthcare. This way, you steer your professional focus yourself.
• Societal aspects: In the seminar "Current Topics in AI," you tackle ethical, legal, and societal questions of AI.
• Master's Thesis: The study phase concludes with a scientific Master Thesis. Here, you demonstrate your ability to independently plan and implement a sophisticated AI project.

Upon completion, you will have specialized knowledge in machine learning, deep learning, and domain-specific AI applications. You will be able to independently develop AI solutions for various industries and apply relevant methods securely.

Course structure: Flexible online study without attendance requirements

The study is 100% online and fully flexible. You can choose between several time models:

• Full-time: Completion in 12 months (2 semesters).
• Part-time I: Completion in 18 months.
• Part-time II: Completion in 24 months.

You can start the studies at any time. The entire organisation, module assignment, exam registration, and communication with lecturers take place via the digital online campus "myCampus." All materials are available digitally – e.g. as IU Interactive Books, complemented by video content, interactive quiz questions, podcasts, and shortcasts.

• Exam formats: Exams are taken flexibly as online exams (available 24/7) – alternatively, you can use traditional exam centres.
• Live events and tutorials: You have access to virtual teaching events where you interact in real time with lecturers and students.
• AI support: The AI-based learning assistant "Syntea" is available around the clock to assist with questions.

The study is ideal for professionals or individuals with family commitments as you can always determine your place and pace of learning. There are no mandatory seminars or lectures.

Perspectives after graduation: Career and job opportunities with AI expertise

With the Master Artificial Intelligence, you are qualified for challenging tasks in almost all industries. Key career fields include:

• AI developers: Development, programming, and practical implementation of AI algorithms and software systems – e.g. autonomous vehicles, image and speech recognition, predictive maintenance, or medical diagnostics.
• AI Product Owners: Leading AI projects, translating user requirements into technical solutions, designing the product roadmap, and team leadership.
• AI consultants: Strategy development and implementation of AI solutions in companies, conducting needs analyses and prototypes.
• Career industries: IT, Industry 4.0, automotive industry, healthcare, FinTech, marketing, e-commerce, and many other fields of innovation.

Thanks to the international focus of the Master's programme, you are also attractive to EU and globally operating companies. Leadership positions, project management, and research are open to you with the recognised M.Sc. title.

Costs, fees and financing options

The costs for the Applied Artificial Intelligence distance learning programme (60 ECTS) vary depending on the chosen time model:

• Full-time (12 months): 775 € per month – total costs approx. 10.099 €
• Part-time I (18 months): 575 € per month – total costs approx. 11.149 €
• Part-time II (24 months): 475 € per month – total costs approx. 12.199 €

Regular discount promotions offer savings on tuition fees. The tuition includes all services such as digital learning materials, access to the online library, personal career coaching and optional live lectures. A non-binding trial month allows you to test the programme for free at the start.

• Financing options: Education funds, private student loans, tax deduction as income-related expenses and various regional funding programmes. IU also accepts individual recognition of prior learning (e.g. from previous studies or further training), which can further reduce costs.

Thanks to the digital learning concept, there are no expenses for textbooks or on-site travel. Semester breaks and extensions (up to 12 months) are available free of charge if you need more time.