Master in Computer Science, Professional focus in Data Science

During the master's degree, you'll learn to master software design and development processes (software engineering, software architectures, software verification and validation) and acquire a solid grounding in machine learning and project management.

In addition to your specialized data science major, you choose two options.

The master's degree is completed by the completion of a data science project and a course relating to responsibilities in data science.

Finally, you conclude your training with a 4-month internship (usually abroad) and the writing and defense of your dissertation.

The data science specialization is offered in masters programs in computer science, mathematical sciences and engineering.

With students from other masters programs, you work in an interdisciplinary dynamic directly linked to the reality of the world of organizations.

You learn to develop the tools needed to extract, store, analyze, visualize and interpret data available in various quantities and forms to become experts in big data, data warehousing, machine learning, data mining, information visualization, graph mining and business intelligence.

You put your knowledge into practice on concrete assignments and a realistic interdisciplinary project. The course draws on the multidisciplinary scientific expertise of the Namur Digital Institute (NADI) and the Namur Center for Complex Systems (naXys).

Experiences in data science education and the need of companies show that such training must be composed of data science skills and job-specific training.
The specialized finality common to all three master's degrees meets these requirements:

• the 30 credits of the finality provide data science skills
• the remaining 90 credits of each master's degree provide the indispensable business-specific knowledge of the computer scientist/management engineer/mathematician.

You choose two options from:

• ambient and mobile computing: study the engineering of mobile applications, in all its aspects: design, security, societal, hardware... Develop applications adapted to new mobile technologies such as smartphones, tablets and sensor networks (internet of things) and intelligent systems;
• fundamental computer science: explore the fundamentals of the computing discipline, such as high-reliability software construction, algorithmic resolution of complex problems, new programming languages;
• informatics and innovation: explore the concept of the business model, develop an entrepreneurial project, an innovative IT product/service, develop creative skills;
• enterprise informatics: design, develop and manage information systems aligned with the needs and values of organizations and users, taking into account business, ethical, legal and sustainable development requirements;
• informatics and security: explore advanced aspects of security and cybersecurity, such as the use of AI in preventing, detecting and responding to security incidents, or analyzing programs to identify vulnerabilities;
• informatics 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 in a company, university or research center, the internship familiarizes you with the working environment and provides good preparation for the dissertation.

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

• Learn to steer, design and develop innovative projects with high added value for companies, that drive progress for society.
• Master information and communication technologies: programming, databases, operating systems and networks, distributed systems, web technologies, security, artificial intelligence, etc.
• Become the architect of major IT applications: in the medical field, in banking and finance, in telecommunications, for government, in research and development, for the scientific sector.
• Know and understand the organizational environment in which applications operate, in particular the relationship between IT and the individual, business and society.
• Meet the explosion in demand linked to big data in all sectors faced with increasingly complex data (companies, hospitals, banks, universities, etc.).

• A course organized by a faculty pioneering computer science education in Europe.
• A course of study that fosters autonomy, critical thinking and develops the ability to work collaboratively on IT projects, from analysis to implementation.
• A curriculum that develops "soft skills": the ability to communicate effectively, interact appropriately with partners, manage crisis situations, etc.
• International internships with internationally renowned companies or laboratories (USA, Canada, Northern and Southern Europe, Japan, India, etc.).

UNamur also participates in masters courses in

• Computer Systems Architecture
• Cybersecurity

These programs are co-organized with other higher education institutions.