M.Eng. in Information Technology of Artificial Intelligence

• Degree: Master of Engineering (M.Eng.)
• Model: full-time
• Language: English
• ECTS: 120
• Info: accredited
• Duration: 4 semesters
• Location: Heidelberg

The Master's programme in Artificial Intelligence (AI) at our SRH University focuses on preparing students with the necessary knowledge and skills to develop, implement and evaluate advanced AI technologies. The programme objectives focus on teaching theoretical knowledge, practical skills and innovative thinking to prepare students for a successful career in this dynamic and fast-growing field.

Our course goals

Expanding specialist knowledge in artificial intelligence

• Fundamentals of AI: teaching basic concepts such as machine learning, computer vision, DSP, image processing, deep neural networks.
• Advanced AI techniques: In-depth study of topics such as deep learning, reinforcement learning, unsupervised learning and explainable AI.

Development of practical skills

• Programming and algorithms: Mastery of programming languages and tools used in AI development, such as Python.
• Project-based learning approaches: Carrying out practical projects to develop and implement AI solutions in various application areas.

Promote innovation and creativity

• Innovative applications: Identifying and developing new use cases for AI in areas such as healthcare, finance, automotive, retail and the public sector.
• Research and development: promoting participation in research projects and the publication of research results on current challenges and trends in AI.

Preparation for leadership roles

• Management skills: Providing skills in project management, product development and IT strategy related to AI projects.
• Entrepreneurial skills: support in the development of business models and start-ups in the AI field.

Strengthening analytical and critical thinking skills

• Problem-based learning: fostering analytical thinking and problem-solving skills by analysing real AI use cases and challenges.
• Data analysis and management: teaching methods for efficiently managing, analysing and interpreting large amounts of data.

Promoting professional and ethical responsibility

• Ethics and regulation: Discussing ethical issues and regulatory challenges related to AI, such as data privacy, bias and the impact on jobs.
• Sustainability and social responsibility: Integrating sustainability and social responsibility aspects into the development and implementation of AI solutions.

Global thinking and intercultural competence

• International Perspective: Providing a global understanding of AI technology and its application in different countries and cultures.
• Intercultural cooperation: Promoting cooperation in international teams and projects to develop intercultural competences.

The demand for specialists in the field of artificial intelligence has risen significantly worldwide. Companies and organisations are increasingly looking for experts who can develop, implement and apply AI technologies. AI experts are finding employment opportunities in a variety of industries, including healthcare, finance, automotive, e-commerce, education, computer science and many others. AI is used in various applications such as robotics, computer vision, natural language processing (NLP), data science and machine learning. Due to the high demand for AI experts, competition for qualified professionals is strong.

At the beginning of your Master's degree programme in Information Technology - Artificial Intelligence, you will learn about the theories of information transmission and compression, among other things, and deal with basic principles and techniques for transmitting signals in wired and wireless networks. You will acquire in-depth knowledge in the fields of digital signal processing, image processing and machine learning.

In the further course of your Master's degree programme, you will deepen your knowledge in the field of artificial intelligence. In the Deep Neural Networks module, you will familiarise yourself with a powerful machine learning technique and expand your programming skills in Python Programming. As part of your internship, you can gain practical experience and apply your theoretical knowledge before writing your Master's thesis.

1st semester

1. Information and Coding Theory – 6 ECTS
2. Transmission Technology – 6 ECTS
3. Communication Networks I – 6 ECTS
4. Communication Networks II – 6 ECTS
5. Mathematical and Scientific Methods I – 6 ECTS

2nd semester

1. Mathematical and Scientific Methods II – 6 ECTS
2. Digital Signal Processing – 6 ECTS
3. Image Processing – 6 ECTS
4. Machine Learning – 6 ECTS
5. Computer Vision – 6 ECTS

3rd semester

1. Deep Neural Networks – 6 ECTS
2. Python Programming – 6 ECTS
3. Current Topics in AI – 6 ECTS
4. Industrial Placement / Internship – 12 ECTS

4th semester

1. Master Thesis – 30 ECTS

To apply for the Master’s programme in Information Technology - Artificial Intelligence, you will need to provide

• Bachelor's degree in electrical engineering, information technology, communication technology or a similar subject
• Proof of English language proficiency
• Curriculum Vitae
• Letter of motivation
• Copy of your identity card or passport

English language requirements:

Accepted English Proficiency Certificates (valid within 2 years), with at least the indicated score:

• IELTS Academic: 6.5
• TOEFL iBT: 87 points
• TOEIC Listening/Reading 785, Speaking 160, Writing 150
• Duolingo Certificate: 110 points
• Cambridge CAE or CPE (grade A, B, or C)
• Pearson English Test Academic (PTE-A): 59 points
• Linguaskill: 176 - 184 (CES) - all four skills required