Master EE

Admission for UT bachelor's graduates

Disclaimer

This is a provisional document that still may be adapted. No rights regarding admission can be claimed from this document.

Introduction

This information is meant for students who currently follow a bachelor’s programme (different from Electrical Engineering) at the University of Twente and would like to continue with the Electrical Engineering master’s programme after their graduation.  

In order to be able to successfully follow the Electrical Engineering master’s programme you should have prior knowledge about a number of topics that will be elaborated further during the programme. The exact requirements depend somewhat on the specialization you choose.

Below we give a checklist of topics that you should have covered, including a course in which the topic is addressed (or a list of subtopics). Using the course description that you can find in the course catalogue, you can check if you have enough prior knowledge about the topic.

How to obtain the right prior knowledge

There are several opportunities during and after your bachelor’s programme to follow courses, such that you will have the right prior knowledge to start your Electrical Engineering master’s programme:

  • making the right choices from elective bachelor’s courses
  • choosing suitable courses during your minor programme (possibly at another university).
  • following a premaster’s programme after your bachelor’s graduation

Procedure for the admission

Please, submit a proposal, in which you indicate the specialization you want to choose and which courses you would like to follow, to the programme coordinator: M.J. Korsten. Students Advanced Technology should submit the AT agreement form. If an agreement is obtained, you will be admitted immediately after your bachelor’s graduation, if you have taken your courses according to the agreement.

General prior knowledge requirements for all the specialisations

Electromagnetic Fields

191403070 Electromagnetics

Mathematics and Systems

201500291 Calculus A

201500293 Calculus B

201500292 Linear Algebra

201400221 Probability Theory and Statistics

191231490 Linear Systems

Specific requirements for the specialisations

Neurotechnology and Biomechatronics

Circuit Analysis and Electronics: 191210001 Instrumentation for Embedded Systems

Control Engineering: A basis course in Control (4EC) containing the following elements:

  • Representation and analysis of dynamic systems in the s-domain: root locus
  • Analysis of dynamic systems in frequency domain: Bode plots, Nyquist plots
  • Synthesis of feed-forward and state-feedback: PID controller, lead and lag networks
  • Feed-back control to reduce the sensitivity of a dynamic system for disturbances and parameter variations
  • Stability and sensitivity analysis.

Random signals and noise (about 4EC): A basis course, containing the following elements:

  • spectral density and correlation of deterministic energy/power signals & properties
  • concepts of random processes and random sequences
  • description in terms of joint distributions, moments, auto-/cross-correlation function, power spectral density; stationarity, ergodicity
  • LTI-filtering of random processes
  • complex baseband description of deterministic bandpass signals and systems
  • signal space representation of data signals
  • Gaussian processes white noise
  • thermal noise in resistors and passive networks, equivalent noise temperature
  • available gain and noise factor/figure of two-ports, noise in cascaded systems.

Programming: An introductory course in programming preferably in C++.

Computer Vision and Biometrics

No further requirements

Dependable Integrated Systems

Circuit Analysis and Electronics: 191210001 Instrumentation for Embedded Systems

Computers: 201400217 Computer Systems (excluding the mathematics part)

Programming: An Introductory course in programming preferably in C++.

Integrated Circuit Design

Circuit Analysis and Electronics: 201200097 Electric Circuits and 201200098 Electronics.

Random signals and noise (about 4EC): A basis course, containing the following elements:

  • spectral density and correlation of deterministic energy/power signals & properties
  • concepts of random processes and random sequences
  • description in terms of joint distributions, moments, auto-/cross-correlation function, power spectral density; stationarity, ergodicity
  • LTI-filtering of random processes
  • complex baseband description of deterministic bandpass signals and systems
  • signal space representation of data signals
  • Gaussian processes white noise
  • thermal noise in resistors and passive networks, equivalent noise temperature
  • available gain and noise factor/figure of two-ports, noise in cascaded systems.

Robotics & Mechatronics

Circuit Analysis and Electronics: 191210001 Instrumentation for Embedded Systems

Systems and Control: 201700145 Systems and Control (note that Linear Systems is included in the module)

Mechanics (AT Bachelor module 1; 4.5 EC) OR Mechanics of Materials (ME bachelor module 4) 4.5EC OR Transduction and Mechanical Devices (about 3EC) (EE Bachelor module 7A).

Computers: 201500252 Digital Logic and Computer Organization

Programming: An Introductory course in programming preferably in C++.

Communication Networks

Computers: 201500252 Digital Logic and Computer Organization

Programming: An Introductory course in programming preferably in C++

Computer networks: 201400431 Network Systems

Telecommunication Engineering

Circuit Analysis and Electronics: 201200097 Electric Circuits and 201200098 Electronics.

Telecommunication: 201500502 Signal Processing and Communications

All the microsystems specialisations:

  • NanoElectronics
  • Devices for Integrated Circuits
  • Lab-on-a-chip systems for Biomedical and Environmental Applications
  • Integrated Optical Systems
  • Measurement Signals an Systems

Circuit Analysis and Electronics: 191210001 Instrumentation for Embedded Systems

Physics and Device Physics:  201400430 Device Physics