Program Overview

Program Overview

The master program of Data Science & Artificial Intelligence (DS&AI) is a comprehensive program that consists of a total of 120 credits. The program is designed to provide students with a strong foundation in data science and artificial intelligence, as well as the opportunity to specialize in specific areas of interest.

Program Structure

The program is structured into several components, including:

• Mandatory core courses (30 credits)
• Specialization (30 credits)
• Free electives (15 credits)
• Study and Career Orientation Program (SCOP/e) (0 credits)
• Graduation phase (45 credits)

Specialization

The specialization component allows students to choose two trajectories as "major" trajectories and follow the guidelines below:

• Major trajectories: students select 2 core or specialization electives of each of their 2 "major" trajectories (20 credits total)
• Minor electives: students select 2 core or specialization electives that are NOT in their "major" trajectories (10 credits total)

Graduation Phase

The graduation phase consists of:

• Seminar (5 credits)
• Preparation Graduation Project (10 credits)
• Master Project (30 credits)

Trajectories

The program offers several trajectories, including:

• DS&AI in Context
• Data Engineering & Management
• Algorithmic Data Analysis
• Process Mining & Visual Analytics
• Statistics
• Data Mining & Machine Learning
• AI & Machine Learning

Curriculum

The curriculum for the program is designed to provide students with a comprehensive education in data science and artificial intelligence. The curriculum includes a range of courses, including mandatory core courses, specialization electives, and free electives.

Student Guidance

The program provides students with guidance and support throughout their studies. This includes access to academic advisors, career counseling, and other resources to help students succeed in their studies and in their future careers.