Artificial Intelligence Master (M.Eng.)

Program Overview

Master of Engineering in Information Technology - Artificial Intelligence

Overview

The Master's degree programme in Information Technology with a focus on Artificial Intelligence specialises in the following areas: Artificial Intelligence, Machine learning, Computer Vision, Python, Deep Neural networks.

Programme Details

• Degree: Master of Engineering (M.Eng.)
• Start: 1st April; 1st October
• Model: full-time
• Language: English
• ECTS: 120 ECTS
• Curriculum: more info
• Info: accredited
• Duration: 4 semesters
• Location: Heidelberg
• Costs: 770 € pro Monat

Study Content

Artificial Intelligence as Engine of the Future

The Master's programme in Artificial Intelligence (AI) at 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.

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.

Career in Artificial Intelligence

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.

Modules

• 1st Semester
  • Information- and Coding- Theory
  • Transmission Technology
  • Communication Networks I
  • Communication Networks II
  • Mathematical and Scientific Methods I
• 2nd Semester
  • Mathematical and Scientific Methods II
  • Digital Signal Processing
  • Image Processing
  • Machine Learning
  • Computer Vision
• 3rd Semester
  • Deep Neural Networks
  • Phyton Programming
  • Current Topics in AI
  • Industrial Placement / Internship
• 4th Semester
  • Master Thesis

Admission Requirements and Application

• Admission Requirements
  • 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
• Application Process
  • You submit your online application via the SRH application portal
  • If you meet the admission requirements, we will invite you to a personal/phone interview
  • If the interview is successful, you will receive an acceptance letter and the study contract
  • You sign the study contract and send it back to us
  • You pay the enrolment fee
  • You will receive your letter of admission
  • You take part in our Welcome Week and then you are good to go!

Tuition Fees

• Tuition Fees
  • EU/EEA citizenship, including Switzerland, Western Balkans and Ukraine: €770 per month
  • Non-EU/EEA citizenship: €6450 per semester
• Enrolment Fee
  • EU/EEA: €750
  • Non-EU/EEA: €1000

Financing and Funding Options

Goal-oriented studies require good organisational skills and solid financial planning on how to pay rent, living costs, and tuition fees. Various financing options, such as educational loans or scholarship programmes, are available for students.