Master in Computer Science

During the master’s program, you will learn to master software design and development processes (software engineering, software architectures, software verification and validation) and acquire a solid foundation in machine learning and project management. 

In addition to your specialization in data science, you will choose two electives. 

The master’s program culminates in the completion of an IT project and a course on IT ethics. 

Finally, you will complete your program with a 4-month internship (usually abroad) and by writing and defending your thesis. 

The specialized track in data science is offered as part of master’s programs in computer science, mathematics, and engineering. 

Together with students from other master’s programs, you’ll work in an interdisciplinary environment directly connected to the real-world challenges faced by organizations. 

You’ll learn to develop the tools needed to extract, store, analyze, visualize, and interpret data available in various quantities and formats, with the goal of becoming experts in big data, data warehousing, machine learning, data mining, information visualization, graph mining, and business intelligence. 

You will apply your knowledge to practical assignments and a realistic interdisciplinary project. The program draws on the multidisciplinary scientific expertise of the Namur Digital Institute (NADI) and the Namur Center for Complex Systems (naXys). 

Teaching experience in data science and industry needs show that such a program must combine data science skills with job-specific training.
The specialized track common to all three master’s programs meets these requirements: 

• the 30 credits of the specialization track provide data science skills 
• the remaining 90 credits of each master’s program provide the essential professional knowledge specific to computer scientists, management engineers, and mathematicians. 

You choose two options from among the following: 

• Ambient and Mobile Computing: Study all aspects of mobile application engineering—including design, security, societal implications, and hardware. Develop applications tailored to new mobile technologies such as smartphones, tablets, sensor networks (the Internet of Things), and smart systems;
• Fundamental Computer Science: Explore the foundations of the field of computer science, such as building highly reliable software, algorithmic problem-solving for complex problems, and new programming languages;
• Computer Science and Digital Transformation Management: Understand the strategic management of digital transformation; explore mechanisms for facilitating change through the lens of emotional intelligence; and design, develop, and understand the market launch of software products;
• Computer Science and Security: exploring advanced aspects of security and cybersecurity, such as the use of AI in the prevention, detection, and response to security incidents, or the analysis of programs to identify vulnerabilities;
• Computer Science and Artificial Intelligence: Explore recent advances in artificial intelligence, such as machine learning, deep learning, natural language processing, and bio-inspired autonomous systems.

A unique professional and cultural experience! 

Conducted at a company, university, or research center, the internship familiarizes you with the workplace and serves as excellent preparation for your thesis. 

The School of Computer Science encourages international mobility and offers a wide range of opportunities abroad at renowned foreign universities and companies. 

• Learn to lead, design, and develop innovative, high-value-added projects for businesses that drive social progress. 
• Master information and communication technologies: programming, databases, operating systems and networks, distributed systems, web technologies, security, artificial intelligence, etc. 
• Become an architect of large-scale IT applications: in the medical field, the banking and financial sector, telecommunications, government, research and development, and the scientific sector. 
• Understand the organizational environment in which applications operate, particularly the relationships between IT and individuals, businesses, and society. 
• Address the surge in demand related to big data across all sectors facing increasingly complex data (businesses, hospitals, banks, universities, etc.). 

• A program organized by a pioneering faculty in computer science education in Europe.  
• A program that fosters independence and critical thinking and develops the ability to collaborate on computer science projects, from analysis through implementation.  
• A curriculum that develops “soft skills”: the ability to communicate effectively, interact appropriately with partners, manage crisis situations, and more.  
• International internships at internationally renowned companies or research laboratories (the U.S., Canada, Northern and Southern Europe, Japan, India, etc.).