University of Malta
 

M.Sc. in Signals, Systems and Control
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Overview

This course provides the necessary academic, practical and professional education to help you learn and acquire high-tech competencies and advanced technological skills in the interlinked areas of signal processing, dynamic systems and automatic control. These three areas are the crucial building blocks of modern engineering methodologies applied for the design, development, implementation, and analysis of complex systems ranging from engineering applications and industrial problems, to more mundane situations such as financial modelling and environmental control.

Through this course, you will learn how to look out for, and capture, the similarities and structures of different systems and processes, how to extract useful information from typically large amounts of data generated by such systems, and how to optimise and control their behaviour. You will learn the relevant basic theories, design methodologies and implementation techniques within the areas of system modelling, signal processing, dynamics and systems, automatic control, computer vision, machine learning and computational intelligence. By the end of this course you would thus be able to apply these hi-tech skills in a wide range of professional areas such as system automation, process control, biomedical engineering, manufacturing, transport and robotics to name but a few.

The course is open to graduates in engineering, information technology, physics, mathematics and related areas. The language of instruction is English. 

 

Duration and modes of study

The course may be taken either on a full-time or a part-time (day course) basis. The course duration is one complete calendar year if taken on a full-time basis or three years for part-time.

For full-time studies, the first two semesters (October to January and February to June) will include lectures, tutorials and practical laboratory sessions. In the third semester (June to September) students will focus completely on a research project under the supervision of an academic staff member. This includes the compilation and submission of an M.Sc. dissertation which reports on the work carried out in the project.

For part-time studies, the first two semesters of the first and second year are dedicated to lectures, tutorials and practical laboratory sessions. The first two semesters of the third year will focus completely on the research project and dissertation.

 

Course Structure

The programmes of study in full-time or part-time mode are summarised below. More detailed information on course learning outcomes, study-unit descriptions etc. are available from these links: full-time or part-time.

Full-time studies (one full calendar year, 90 ECTS credits): 

Code                Title       ECTS            Semester    
SCE5101 Linear Dynamic Systems and Signals 6 1
SCE5102 Estimation and System Identification 6 1
SCE5103 Continuous-time Control Systems 5 1
SCE5104 Discrete-time Control Systems 5 1
SCE5105 Advanced Signal Processing 5 1
SCE5106 Research Methods for Systems and Control Engineering 4 1
SCE5201 Machine Learning and Pattern Recognition 10 2
SCE5202 Nonlinear Systems and Control 5 2
SCE5203 System Optimisation and Control 4 2
SCE5204 Adaptive and Intelligent Control 5 2
SCE5205 Computer Vision 5 2
SCE5301 Research Project in Systems and Control Engineering 30 3

 

Part-time day course studies (three academic years, 90 ECTS credits): 

Code                Title         ECTS            Semester    

Year 1

SCE5101 Linear Dynamic Systems and Signals 6 1
SCE5102 Estimation and System Identification 6 1
SCE5103 Continuous-time Control Systems 5 1
SCE5201 Machine Learning and Pattern Recognition 10 2
SCE5205 Computer Vision 5 2

Year 2

SCE5104 Discrete-time Control Systems 5 1
SCE5105 Advanced Signal Processing 5 1
SCE5106 Research Methods for Systems and Control Engineering 4 1
SCE5202 Nonlinear Systems and Control 5 2
SCE5203 System Optimisation and Control 4 2
SCE5204 Adaptive and Intelligent Control 5 2

Year 3

SCE5301 Research Project in Systems and Control Engineering 30 1, 2

Entry requirements

The Course is open to applicants in possession of one of the following qualifications:

  1. the degree of Bachelor of Engineering (Honours) with at least Second Class Honours; or
  2. the degree of Bachelor of Science (Honours) with at least Second Class Honours in appropriate subjects as approved by the Board; or
  3. the degree of Bachelor of Science in Information Technology (Honours) with at least Second Class Honours;
  4. the degree of Bachelor of Science in Information and Communication Technology (Honours) with at least Second Class Honours; or
  5. any other Honours degree with a suitable mathematical and computer programming component which the Board deems comparable to the qualifications indicated in (1), (2), (3) or (4) above.

Applicants who have completed their secondary education overseas are also obliged to satisfy the University’s English Language requirements.

 

How to Apply

Interested persons wishing to apply for this course are invited to apply through the University's Online Application facility by clicking on these links for the full-time or part-time mode.

For courses commencing in October 2017, late applications are still open until the 31 August 2017. Further information regarding the application process and deadlines is available here.   

Students applying for this course are eligible to benefit from the Get Qualified 2014-2020 scheme. Further information on the application process is available here

Prospective international applicants wishing to obtain further information prior to submitting an application, are advised to contact the International and EU Office

 

Further Information

Additional details on tuition fees, administrative issues, general entry requirements and related matters are available here

Queries can also be directed by email.

 

Calendar
Notices

Public Talk

 

In celebration of the 10th year anniversary of the Department of Systems and Control Engineering. Click here for more information.


PhD Scholarship in Computer Vision

 

The Department of Systems and Control Engineering is accepting applications for the post of a PhD student to work in collaboration with WildEye. Click here for more information.


Funding Award for WildEye

 

Research funding awarded to the SCE Department under the FUSION Technology Development Programme (TDP) 2017.


Funding Award for BrainApp

 

CBC awarded research funding under the FUSION Technology Development Programme (TDP) 2017.


Closing date for MSc course applications

 

The deadline for late applications for the MSc in Signals, Systems and Control is the 31st August 2017. Click here for more information.


TVM news feature

 

News feature on the work currently being carried out by our PhD student Ms Rachael Nicole Darmanin, supervised by Dr Ing. Marvin Bugeja. Link here.


PhD scholarships at University of Sheffield, UK

 

Please click here for more information.


Postdoctoral Position in Robotics and Control

 

Postdoctoral Position at the University of Le Havre in France. Click here for more information.


MSc by Research - Call for Expression of Interest

 

The Department of Systems and Control Engineering and the Centre for Biomedical Cybernetics are seeking students who are interested in pursuing studies leading to an MSc in Engineering degree (mainly by research) on any of the topics detailed here.


Postdoctoral Research Position in EEG

 

[CLOSED] Postdoctoral Research Position in EEG Signal Processing with the Centre for Bionedical Cybernetics. Click here for more information.


 
 
Last Updated: 8 August 2017

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