Master of Science in Artificial Intelligence

About

The Masters in Artificial Intelligence course is tailored to the current challenges and the needs in Artificial intelligience, providing students with specialised knowledge and skills relevant to their career aspirations. Embark on an enriching journey with the MSc Artificial Intelligence, featuring four specialised pathways: Robotics Engineering, Blockchain and Fintech, Chatbot Design, and Metaverse and Digitalisation. This 18-month programme offers a dynamic learning environment, guided by expert faculty seamlessly integrating theoretical knowledge with practical applications, and also includes the ethical issues of AI. Students will delve into designing intelligent robotic systems, revolutionising finance through blockchain, creating innovative chatbot interfaces, or navigating the digital evolution. The Masters in Artificial Intelligence programme ensures a comprehensive skill set, positioning individuals at the forefront of AI innovation to shape the future with intelligence, innovation, and proficiency in an ever-evolving technological landscape. The Berlin School of Business and Innovation is in partnership with University for the Creative Arts (UCA). BSBI is able to offer the Masters in Artificial Intelligence programme. The learning and teaching of the Masters in Artificial Intelligence (AI) programme will consist of a variety of elements such as lectures, tutorials, workshops, animated/non-animated video, practical work, seminars and trips. The assessment strategy will include individual/group reports and/or presentations, case studies, essays, portfolio development, reflective journals and experiential work-based activities. Students will master the art of gathering, evaluating, and synthesising diverse ideas, historical context, data, and AI methodologies. This skill will enable them to make informed connections between various sources, enhancing their ability to develop and situate AI projects within a broader context. 

Career Path 

Graduate career path includes AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Robotics Engineer, Data Scientist, Data Engineer, Business Intelligence Analyst, Autonomous Systems Develop, AI Research Scientist, NLP Specialist, Computer Vision Engineer, AI Product Manager, AI Consultant, Digital Transformation Manager, AI Security Specialist, Risk Analyst (AI Systems), AI Policy Analyst, Healthcare AI Specialist, Bioinformatics / Computational Biology Analyst, Ethical AI Specialist, Lecturer / Researcher, AI Startup Founder, Cloud AI Engineer, MLOps Engineer, Automation Engineer, IoT AI Engineer, Smart Manufacturing Engineer, Intelligent Systems Designer, Predictive Analytics Specialist,Algorithm Engineer.