The MSc in Applied Data Science & AI is designed for graduate students who seek a career at the intersection of management and tech departments within companies. The program has no prerequisites on Computer Science.

In Term 1, you will be exposed to foundational applicative courses on Business, Data Science, Machine Learning, Artificial Intelligence, and Problem-solving. In Term 2, you will apply methodologies and tools to real-life business problems that can be analyzed using Data Science and AI. Term 3 consolidates your profile, through an internship or a project.

• 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)
• Flexible studies

Through this Master, you will build a unique profile at the intersection of Business and Data/AI. You’ll be able to build yourself into a well-rounded entrepreneur or apply for top management roles in the areas such as:

• Data and AI Manager
• Strategic Consultant
• Product Manager, Product Owner
• IT Business Analyst
• Business Intelligence Manager
• Entrepreneur
• Chief Data Officer or CTO

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 two elective courses from a pool of five 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 16 weeks, structured as follows:

First Term

• Python Programming for Data Science
• Applied Machine Learning
• Big Data and Cloud Computing Infrastructure
• Applied Artificial Intelligence
• Business Problem Solving
• Project Management

Second Term

• Business Communication
• Ethics and Regulations of Artificial Intelligence
• Research Methods and Tools
• Applications in Data Science and Artificial Intelligence – Part 1 [Elective]
• Applications in Data Science and Artificial Intelligence – Part 2 [Elective]
• Applications in Healthcare [Elective]
• Applications in Fintech [Elective]
• Applications in Public Policy [Elective]

Third Term

• Capstone Project and Dissertation

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