New at the Faculty: Dual Degree in Computer Engineering and Mathematics

Starting next academic year (2027), the Faculty of Engineering, in collaboration with the Department of Mathematics, will be offering a new four-year program for outstanding students: a dual degree in Computer Engineering and Mathematics. The program includes full Computer Engineering studies, combined with mathematics courses as part of a "post-degree track." Graduates will receive a Computer Engineer diploma as well as an additional BSc in Mathematics.

The program is suited for highly motivated students with strong analytical skills and a desire for genuine intellectual challenge. Its goal is to train graduates who can develop technological systems like engineers, and create a broad and deep mathematical foundation that will equip them with the tools required to think, plan, and realize advanced ideas and innovative possibilities. Graduates will be able to integrate and lead in a world where computing systems advance at an unprecedented pace; graduates who know how to apply high-order mathematical thinking and deep algorithmic understanding, translate them into the development of real hardware and software systems, and integrate into the worlds of cybersecurity, artificial intelligence, and quantum computing with a thorough understanding of the theoretical foundations.

What’s in store?

The program spans approximately 210 credits in total and can be completed in eight semesters, with a significant study load designed for outstanding students. The first two years focus on building the foundations of mathematics and engineering in theory and in practice.

The third year is dedicated to deepening understanding and building a solid foundation in such fields as computer engineering, electronic systems development, signal processing, computer networks, and more. Alongside the core computer engineering courses, advanced mathematics courses are also studied.

In the fourth and final year, similarly to the standard computer engineering degree, students choose from a range of the program's specialization tracks: information security and cybersecurity; hardware and chip design; networks, communications and information, and quantum computing; advanced algorithms and optimization; software development; AI and data analysis; signal processing, image processing, and graphics. In addition, the fourth year is dedicated to carrying out a final engineering project, a practical application of the acquired knowledge to a current technological or research challenge. Elective courses allow for deeper engagement in areas of personal interest in both the engineering and mathematics spheres.

The Perks

The program's greatest advantage lies in the combination of theory and practice. It provides students with a practical and sought-after profession, alongside a deep and broad mathematical foundation, which can serve as a springboard for advanced graduate studies and work in research groups and industry innovation.

Graduates will be able to seek careers in Research and Development (R&D), advanced algorithmics and machine learning, cryptography and information security, chip design and computer architecture, digital communications, signal processing, quantum computing and quantum information, artificial intelligence, data science, computational statistics, and formal verification of software and systems.

Sound interesting? For more details and registration.