MSc in Applied Artificial Intelligence

Established in 1984, Swiss UMEF is the first private university to be accredited by the highest Federal Accreditation Authority in Switzerland (SAC). Swiss UMEF is honored to be listed in the Narics list - the Center for Recognition of Degrees of the Ministry of Education and Training. At the same time, it maintains international educational accreditations and accreditations on teaching and degrees:

The MSc programme aims to provide students with advanced knowledge of AI concepts, including machine learning and deep learning. The program develops the ability to effectively manage AI projects, while instilling an understanding of the ethical and societal implications of AI. Students will become familiar with global AI policies and regulatory frameworks, while cultivating entrepreneurial skills. Lastly, the program offers practical exposure through a capstone project or internship, enabling students to understand the challenges and strategies of implementing AI in various domains.

Objectives:
To provide students with advanced knowledge of artificial intelligence concepts including machine learning, deep learning, and reinforcement learning.
To develop the ability to manage AI projects effectively, incorporating Agile and Scrum methodologies.
To equip students with the skills to handle big data and understand cloud technologies, which are key components in implementing AI solutions.
To enhance students' understanding of the role of AI in shaping business strategy and decision-making processes.
To instil a comprehensive understanding of the ethical and societal implications of AI and the need for responsible AI deployment.
To familiarize students with the global AI policies and regulatory frameworks, helping them navigate the legal aspects of AI implementation.
To teach students effective change management strategies specifically for AI implementation in various sectors.
To cultivate entrepreneurial skills and promote innovation in the field of AI.
To provide students with a broad understanding of the role of AI in the global economy and its impact on various sectors including banking, healthcare, industry, marketing, communication, and education.
To provide practical exposure and real-world application of knowledge through a capstone project or internship. This can help students understand the practical challenges and strategies in implementing AI solutions in various domains.

Career Opportunities:
1. AI Project Manager: Efficiently manage AI projects using acquired project management methodologies, ensuring timely and budget-compliant completion.
2. AI Strategy Consultant: Advise businesses on strategically leveraging AI for decision-making with the knowledge gained from the course on AI in business.
3. Data Governance Manager: Govern and regulate an organisation's data assets with the training in data management and governance, crucial in the era of Big Data and AI.
4. AI Ethics Officer: Work in roles dedicated to ensuring ethical and responsible use of AI systems with the course focused on AI ethics and societal considerations.
5. AI Policy Advisor: Contribute to policymaking and regulation around AI usage in government or regulatory bodies with expertise gained from the AI policy and regulation course.
6. Change Manager: Guide businesses through AI implementation changes with the course in change management for AI projects.
7. AI Entrepreneur: Start or manage a business offering AI-related products or services with the AI innovation and entrepreneurship course.
8. AI Specialist in Various Industries: Become an AI specialist in sectors like banking, healthcare, industry, marketing, communication, and education, applying tailored AI solutions from relevant courses.