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Master in Artificial Intelligence


In the industrial revolution 4.0 in which self-driving cars, robotic assistants, and many automated systems are all products of an emerging Artificial intelligence (AI) revolution that will reshape how we live and work. Artificial Intelligence careers are currently categorized within the careers of the future. Our Masters in AI will equip you with the fundamental principles of AI to be able to critical evaluate the theories, techniques, tools and systems used in the field and interdisciplinary application areas. You will gain an understanding and practical application of data analysis technologies and a range of machine learning paradigms to build models and develop transferable computational and statistical skills for model evaluation. In addition you learn about the key components Artificial Intelligence Systems such as Natural Language Processing, Computer Vision and Robotics. Also you will develop, key employability skills such as team working, report writing and communication skills. 



  • Provide students with knowledge of current capabilities and limitations of artificial intelligence.
  • Promote in students an understanding of the relationship of artificial intelligence to data science and other technological fields.
  • Demonstrate proficiency in fundamental artificial intelligence principles and practices.
  • Provide the students with the knowledge and skills needed to assume a leadership role in the advancement of artificial intelligence.
  • Provide students with an understanding of the role of artificial intelligence in different types of organizations.
  • Strengthen the ability of students to use critical thinking and problem solving in artificial intelligence.



  1. Examine, evaluate and manage new developments in artificial intelligence, machine learning and language processing.
  2. Utilize emerging artificial intelligence technologies to enhance productivity in an organization or industry.
  3. Employ technological tools and techniques to design artificial intelligence programs and systems.
  4. Demonstrate an understanding of the algorithms, statistics and programming languages used in artificial intelligence.
  5. Develop an understanding of the relationship between computers and humans and how computers can be trained to think and behave like humans.
  6. Apply critical thinking and technical skills to develop solutions to artificial intelligence challenges.
  7. Understand the role of artificial intelligence in the daily lives of humans and evaluate the cultural and societal ramifications of these technological advances.


Careers of Graduates

  • Artificial Intelligence (AI) Engineer
  • AI Architect,
  • AI Expert
  • AI application engineer
  • AI Data Analyst
  • AI research scientist
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Systems Analyst
  • Natural Language Processing (NLP) Expert
  • Computer Vision (CV) expert
  • Robotics Scientist
  • Freelance as an AI Scientist