PMSCISYFON4-2025-6-O - L-Università ta' Malta

Course Title

Master of Science in Intelligent Systems, Signals and Control

MQF Level

Duration and Credits

3 Semesters

90 ECTS

Mode of Study

Full-time Online

Information for International applicants

Applicants must be in possession of:

Refer to the list of country-specific qualifications

the degree of Bachelor of Engineering (Honours) with at least Second Class Honours or
the degree of Bachelor of Science (Honours) with at least Second Class Honours in appropriate subjects as approved by the Board or
the degree of Bachelor of Science in Information Technology (Honours) with at least Second Class Honours or
the degree of Bachelor of Science in Information and Communication Technology (Honours) with at least Second Class Honours or
any other Honours degree with a suitable mathematical and computer programming component which the Board deems comparable to the qualifications indicated in paragraphs (a), (b), (c) or (d).

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You can submit your application online. The deadlines for submission of applications vary according to the intake and courses. We encourage all international applicants to submit their applications as soon as possible. This is especially important if you require a visa to travel and eventually stay in Malta.

You can compare your national qualifications to the local requirements by visiting our qualifications comparability webpage. Access more information about our admission process and English language requirements.

The University of Malta has student accommodation on campus called Campus Hub. Campus Hub is just a 2-minute walk from the main campus. For more information, visit the accommodation website.

Our dedicated team at the student recruitment office is here to support you every step of the way. From the moment you start your application to the moment when you receive your decision letter, we're here to assist you. If you have any questions or need further information, don't hesitate to reach out to us. You can contact us at info@um.edu.mt, and our team will be more than happy to help.

After you receive an offer from us, our International Office will assist you with visas, accommodation and other related issues.

This programme of study is also offered on a part-time basis. Please consult the Registrar's website for more information pertaining to courses offered by the University.

The MSc course in Intelligent Systems, Signals and Control provides the necessary academic, practical and professional knowledge for you to learn and achieve high-tech competencies and advanced technological skills in the interlinked areas of signal processing, dynamic systems and automatic control systems. 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. The course will cover the relevant 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. On course completion, these skills and knowledge could be applied across a wide range of professional areas such as system automation, process control, biomedical engineering, manufacturing, transport and robotics, to name but a few.

Throughout this course, you will learn how to take a transdisciplinary approach to look out for, and capture, the similarities and structures of the dynamics 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 efficient behaviour. The course will cover the relevant 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. On course completion, these skills and knowledge could be applied across a wide range of professional areas such as system automation, process control, biomedical engineering, manufacturing, transport and robotics, to name but a few.


Year (This/these unit/s start/s in Semester 1 and continue/s in Semester 2)

Compulsory Units (All students must register for this/these unit/s)

SCE5106	Research Methods for Systems and Control Engineering	4 ECTS
SCE5201	Machine Learning and Pattern Recognition	10 ECTS


Semester 1

Compulsory Units (All students must register for this/these unit/s)

SCE5101	Linear Dynamic Systems and Signals	6 ECTS
SCE5103	Continuous-time Control Systems	5 ECTS
SCE5104	Discrete-time Control Systems	5 ECTS
SCE5105	Advanced Signal Processing	5 ECTS
SCE5109	Estimation and System Identification	5 ECTS


Semester 2

Compulsory Units (All students must register for this/these unit/s)

SCE5202	Nonlinear Systems and Control	5 ECTS
SCE5204	Adaptive and Intelligent Control	5 ECTS
SCE5205	Computer Vision	5 ECTS
SCE5206	System Optimisation and Control	5 ECTS


Summer Semester

Compulsory Units (All students must register for this/these unit/s)

SCE5301	Research Project in Systems and Control Engineering	30 ECTS

This programme of study is governed by the General Regulations for University Postgraduate Awards, 2021 and by the Bye-Laws for the award of the Master of Science in Signals, Systems and Control - M.Sc. - under the auspices of the Faculty of Engineering.

This course provides you with the skills and knowledge to:

Apply a transdisciplinary systems theoretic approach to handle complexity and to formulate appropriate mathematical models for a wide range of dynamic systems, signals and information sets.
Analyse and extract information from signals, images and data sets using appropriate signal processing techniques.
Design algorithms for extraction of information and patterns from signals, images and data sets.
Analyse the performance, stability and robustness of closed loop control systems.
Design and implement automatic control systems using a wide spectrum of control design techniques.
Seek relevant knowledge and information from reliable sources such as textbooks, monographs, journals and electronic information systems.

Comprehend, organise, analyse, integrate and connect together the various theories and methodologies delivered during the course.
Critically analyse, review and evaluate relevant information in an independent manner.
Creatively apply sound methodologies from engineering, mathematics and IT for the design, development and implementation of systems and algorithms for automatic control, signal processing, machine intelligence and automated systems.
Plan and execute a research project, as well as presenting it to an audience and documenting it.

Non EU Applicants:

Total Tuition Fees: Eur 9,000
Fee per semester: Eur 3,000

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As a graduate, you will be able to apply the high-tech skills acquired in a wide range of engineering, industrial, research and other professional disciplines that require the input of scientists and engineers who are specialised in the analysis, design and control of processes from a systems-based perspective. These include applications in automation, process control, biomedical engineering, manufacturing, transportation and robotics, to name but a few.

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