A Joint Program of the Faculty of Mathematics and the Faculty of Electrical and Computer Engineering
The Electrical Engineering and Mathematics track is designed for students seeking to combine a broad engineering education with rigorous and in-depth mathematical studies, at a level equivalent to a full undergraduate degree in mathematics. The program is grounded in the understanding that engineers operating in knowledge-intensive environments, from algorithms and communications to quantum technologies, require a wide, solid, and foundational mathematical background, not merely applied tools.
Program Distinction
Students in this track pursue advanced mathematics studies alongside the full set of core requirements in Electrical Engineering. This is a dedicated framework for students suited to research or to technological systems of high complexity, and for those who do not wish to choose between mathematics and engineering.
Structure of Studies
The curriculum integrates advanced mathematics courses with all mandatory Electrical Engineering courses. Completion of the degree requires the accumulation of 162 academic credits.
Link to the catalog in Hebrew.
Graduate Studies
Graduates of the program may proceed directly to a Master’s degree in either faculty without the need for preparatory coursework, subject to the admission requirements of the respective faculty.
Research Orientation
The theoretical depth of the program enables preparation for research pathways across a wide range of fields, including pure and applied mathematics, algorithms, computational learning, control systems, signal processing, photonics, quantum technologies, intelligent systems engineering, and related areas.
Career Prospects
The comparative advantage of combining engineering with theoretical mathematics is particularly evident in the job market. Globally, industry shows a growing demand for graduates with advanced mathematical capabilities in engineering contexts, strong theoretical analytical skills, mastery of mathematical modeling, and broad engineering understanding.
Candidates with deep mathematical insight are more likely to lead research-oriented projects, develop complex solutions, and transition fluidly between research roles and advanced engineering positions.
