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.
Throughout this Signals, Systems and Control course at the University of Malta , one learns 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 their 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.
Career opportunites and access to further studies
Graduates will be able to apply the high-tech skills acquired during this course 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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- Linear Dynamic Systems and Signals
- Estimation and System Identification
- Continuous-time Control Systems
- Discrete-time Control Systems
- Advanced Signal Processing
- Research Methods for Systems and Control Engineering
- Machine Learning and Pattern Recognition
- Nonlinear Systems and Control
- System Optimisation and Control
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- 18 months
Start dates & application deadlines
- Apply before
DisciplinesElectrical Engineering Robotics Machine Learning
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- 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.
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International8933 EUR/yearTuition FeeBased on the tuition of 13400 EUR for the full programme during 18 months.
EU/EEAFreeTuition FeeBased on the tuition of 0 EUR for the full programme during 18 months.
- Annual Enrolment Fee for EU/EEA: Eur 400
Living costs for Msida
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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Apply and win up to €10000 to cover your tuition fees.