The MSc in Responsible AI combines technical expertise with a focus on the ethical implications of modern AI, covering foundational and advanced concepts without extensive mathematical detail.

It emphasizes real-world applications in areas like natural language processing, computer vision, business, sensor systems, and industry automation. The program provides an overview of advanced computing architectures for sustainable AI systems, emphasizing environmental impact. Ethical considerations and social responsibilities are integral to every application discussed.

The program provides flexibility with two exit paths, as students can finish the Capstone Project in one or two terms.

• Study level: EQF > / MQF > Level 7
• Credits: 90 / 120 ECTS
• Duration: 3/4 terms - 1.5/2 years
• Mode of Attendance: Online / Full time
• Language: English
• Accreditation: Higher Education Programme
• EU accredited Institution
• Tutors available on a daily basis
• Recorded & live content
• Strong exposure to real-life business application
• Progressive assessments (no final exams)
• Online studies

Graduates of this MSc program will emerge as versatile AI professionals, adept in foundational and advanced AI concepts. They will apply AI principles responsibly to develop applications, models, and software, addressing real-world challenges in industry and research. The program unlocks diverse career opportunities, with graduates well-prepared for roles such as:

• AI Application Developer
• AI Researcher
• AI Product Manager / Designer
• Data Scientist / Analyst with AI Focus
• Machine Learning Engineer
• AI Business Strategist / Consultant
• AI Entrepreneur / Startup Founder
• Computer Vision Engineerd

The program consists of two terms of taught courses (60 ECTS), followed by one or two final terms for the Capstone Project and Dissertation.

Students may choose to complete the Capstone Project in one term for a total of 90 ECTS, or extend it over two terms, reaching 120 ECTS.

In Term 2, students select one elective course from a pool of three options.

The final project may also be structured as an internship within a company or research lab, with facilitated opportunities available.

Each academic term has a duration of 13 weeks, structured as follows:

First Term

• Introduction to AI and Ethics
• Data Analytics and Visualization
• Human-Centered AI Design
• Programming for AI
• Machine Learning

Second Term

• Natural Language Processing
• Computer Vision
• Computing Architectures for AI
• AI in Business, Strategy, and Entrepreneurship
• Research Methods and Tools
• AI for IoT and Automation [Elective]
• Agentic AI [Elective]
• Secure Large Language Models [Elective]

Third Term

• Capstone Project and Dissertation

Candidates for this MSc degree program should possess prior technical expertise. Applicants lacking the necessary technical background will need to undergo an assessment to assess their foundational IT and competencies.

• BSc degree in STEM fields or other disciplines
• English proficiency as B2-level certificate or equivalent
• If you don't have an English certificate, try our test