Advanced degrees

Master's Degree in Electrical Engineering (M.Sc):

The M.Sc. program in Electrical Engineering targets individuals with an honors bachelor's degree in engineering and exact sciences from an institution recognized by the Council for Higher Education in Israel. This program provides an opportunity to deepen knowledge across various engineering branches, focusing on theoretical or applied research in computer engineering, nanoelectronics, electro-optics, and bioengineering.

Research is conducted under the guidance of distinguished faculty members from the Faculty of Engineering, each highly regarded in their respective fields. Exceptional graduate students can access exclusive scholarships, grants, international conference participation, and optimal research conditions, enabling dedicated focus on their chosen research field. Financial prizes are awarded to master's students who publish journal articles or present at conferences, and outstanding fellows may integrate into the faculty's teaching staff.

The program offers two tracks:

  • Track A: With a thesis
  • Track B: Without a thesis (involves a final project)

For a complimentary consultation and additional information on advanced degrees in engineering, don't hesitate to contact us via the Contact page.


Electrical Engineering Information Processing and Data Science (M.Sc):

The M.Sc. program in Electrical Engineering, specializing in information processing and data science, is designed for graduates with honors from engineering, exact sciences, or life sciences faculties in an institution recognized by the Council for Higher Education. A diverse range of knowledge fields and courses allows students to specialize in their preferred areas. Research is conducted under the guidance of faculty members with esteemed reputations in engineering.

Exceptional students can join the faculty's teaching staff, receive scholarships, and access research conditions conducive to their chosen focus. The program includes two tracks:

  • Track A: With a thesis
  • Track B: Without a thesis (involves a final project)

Admission requirements: Candidates with a bachelor's degree in electrical or computer engineering with an average of at least 85. The Faculty of Engineering admits the candidates with the highest achievements and, therefore, is not obliged to accept all the candidates with the above data.


Direct Path to a master's degree

This program is designed for exceptional students in their fourth year of electrical engineering or computer engineering who aspire to engage in research or assume challenging roles in the hi-tech industry. Eligible students, having completed all required courses in electrical/computer engineering bachelor's degree studies during years 1-3 with a minimum grade of 90, can submit their candidacy for this direct master's degree track to the master's degree committee.

All the guidelines applicable to a master's degree in the thesis track also pertain to the direct master's degree track, except for the required hours for degree completion. In this track, students must accumulate two academic credits less than the hours mandated in the thesis track.

Doctor of Philosophy (Ph.D)

Pursuing a Ph.D. involves conducting original, theoretical, or experimental research. Doctoral students must demonstrate independence, scientific curiosity, initiative, originality, and the drive necessary for independent research work. Exceptional Ph.D. candidates benefit from unique scholarships, awards, participation in international conferences, and excellent research conditions. The program encompasses relevant courses and the development of a customized doctoral thesis for each candidate. The faculty acknowledges and rewards doctoral students who publish articles or present at conferences, with the possibility of additional scholarships subject to instructor approval. Furthermore, students can integrate into the Faculty of Engineering teaching system during their studies.

Areas of Knowledge

The Faculty of Engineering offers studies in the following fields of knowledge:


Super-resolution and imaging systems, Optical microscopy and fluorescence, Biomedical imaging, Temporal and spatial cloaking, Nonlinear optics, Nanophotonics, Plasmon devices, Electro-optical devices, Optical devices in silicon, Optical communication, Fiber devices, Sensing with optical fibers, Micro-photonics wave, Atmospheric optics.


Advanced diagnostic systems, Rehabilitation medicine, Drug delivery systems, Cancer Research, Biophotonics and medical imaging, Analysis of complex biological systems, Biological signal processing, Bioinformatics, Engineering, and nanotechnology for biological and medical uses, Brain-machine interface, Implant development, Advanced microscopy, Systemic and computational immunology, Genomics and biotechnology, Tissue engineering.

Computer Engineering

Fault-tolerant systems, Codes for computer systems, Coding interactive systems, Hardware system design, Reliability and safety, Cryptography and secure computation, Spectral methods for logical design, Formal verification of reactive systems, Temporal logic, Optimization of VLSI circuits and systems, Sparse VLSI systems energy, Computational biology, Computer graphics, Digital processing of geometry, Algorithms for scheduling and resource allocation problems, Approximation algorithms, Online algorithms.


Design, manufacture, and characterization of nanoelectronics devices, VLSI circuits and systems, Advanced dummy detectors, Space devices and systems, Memory design and characterization, Reliable hardware design, Reliability in VLSI systems, Analog and digital design of integrated circuits, Sensors, and analog interfaces, Analog circuits for energy management and transfer, Analog and digital circuits for safe hardware.

Information Processing and Data Science

Statistical signal processing and random processes, Theory and methods for signal processing, Adaptive signal processing, Communication signal processing, Radio signal processing, Radar signal processing, Image processing, Acoustic signal processing, Speech signal processing, Biological signal processing, Sensor arrays, Sensor networks, Social networks, Machine learning, Computer vision, Deep learning, Signal processing on graphs, Signal processing on canvases, Game theory, Bioinformatics.

Study Tracks for a Ph.D. in Electrical Engineering:

  1. Normal Track is designed for M.Sc. degree holders who have completed thesis work with an overall grade of at least "very good."
  2. Combined Track - intended for outstanding students combining master's and third-degree studies.
  3. Direct Track - designed for first-degree graduates with honors and outstanding academic achievements who continue directly to the third degree after completing their first-degree studies. For an informational brochure of the School of Advanced Studies, click here.

For a complimentary consultation and additional information about advanced degrees in engineering, please get in touch with us through the Contact page.