MSc in Applied Data Science & AI

Career Perspectives & Goals
This Master is specifically designed to build a unique professional profile at the intersection of Business, Data, and AI. Whether you aim to launch your own venture or lead digital transformation within global organizations, you will be prepared for top-tier roles such as:

Strategic Leadership: Chief Data Officer (CDO), CTO, or Data & AI Manager.
Management & Strategy: Strategic Consultant, IT Business Analyst, or Business Intelligence Manager.
Product Innovation: Product Manager or Product Owner in tech-driven environments.
Entrepreneurship: Founder or well-rounded Entrepreneur capable of leveraging AI for business growth.

Entry requirements
This MSc degree does not require previous knowledge in Data Science and AI. The program is structured so that students coming from a non-tech background will be introduced to foundational concepts during Term 1.

Bachelor degree - even from non-tech fields.
English proficiency as B2-level certificate or equivalent.
If you don't have an English certificate, try our test.

MSc in Applied Data Science and AI

Choosing OPIT means joining a next-generation institution that prioritizes your career and learning experience:
EU Accredited Institution: Earn a degree that is fully recognized and compliant with the European Qualification Framework (EQF/MQF), ensuring your title is spendable globally.
Progressive Assessment: We measure your success through continuous, project-based assessments that reflect real-world work (no final exams).
Tutor Support/Every Day: You are never alone. Our tutors are available on a daily basis to provide feedback, clarify doubts, and guide your learning journey.
Flexible & Hybrid Learning: Access high-quality recorded content 24/7 and join live sessions to interact with faculty and peers, allowing you to study while you work.
Real-Life Business Exposure: Our programs are built in collaboration with industry leaders, ensuring you work on actual business cases and practical applications.

OPIT’s online learning methodology consists of the following components: high-quality asynchronous content, live sessions with the lecturers, always-available teaching assistants and tools to interact with the class.

Asynchronous content consists of video lectures, interactive learning material, slides, and documents, as well as online coding software and simulations. You can access the materials 24/7 on a mobile APP or PC, via our online learning platform Canvas. That way you can fit learning around your own schedule.

Live lessons, instead, are where you can connect directly with the rest of the class and with the lecturers. Case studies, practical exercises, guest speakers, and other activities will all be covered by the lecturers here. Each and every session will also be recorded and made accessible on Canvas.

Additionally, you will have access to Teaching Assistants on a daily basis and will be able to communicate with other students and your instructors via Canvas and the internal chat.