Master of Science in Signals, Systems and Control

Master of Science in Signals, Systems and Control

Course information

Course title Master of Science in Signals, Systems and Control
Course code PMSCSSCFTT7
Postnominal M.Sc.(Melit.)
Level of qualification Second Cycle
National Qualifications Framework level Level 7
Duration 3 Semesters
Mode of attendance Full-time
Total ECTS credits 90
Coordinator Simon G. Fabri
Delivered by Faculty of Engineering
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 Signals, Systems and Control provides the necessary academic, practical and professional knowledge for students 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.

Throughout this course, 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.

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

(a) the degree of Bachelor of Engineering (Honours) with at least Second Class Honours or

(b) the degree of Bachelor of Science (Honours) with at least Second Class Honours in appropriate subjects as approved by the Board or

(c) the degree of Bachelor of Science in Information Technology (Honours) with at least Second Class Honours or

(d) the degree of Bachelor of Science in Information and Communication Technology (Honours) with at least Second Class Honours or

(e) 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).

The admission requirements are applicable for courses commencing in October 2020.

For more detailed information pertaining to admission and progression requirements please refer to the bye-laws for the course available here.

UM currently hosts over 1,000 full-time international students and over 450 visiting students. The ever-increasing international students coming from various countries, in recent years, have transformed this 400-year old institution into an international campus.

Our international students generally describe Malta as a safe place, enjoying excellent weather and an all-year varied cultural programme. Malta is considered as the ideal place for students to study.

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.

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

Local/EU/EEA Applicants: Annual Enrolment Fee: Eur 400

Non-EU/Non-EEA Applicants: Total Tuition Fees: Eur 13,400
This course provides students 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.
• to plan and execute a research project, as well as presenting it to an audience and documenting it.
The course is targeted for graduates in engineering, information technology, physics, mathematics and related areas.
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.
Click here to access the Programme of Study applicable from 2020/1.

Last Updated: 30 September 2020

The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
Unless for exceptional approved reasons, no changes to the programme of study for a particular academic year will be made once the students' registration period for that academic year begins.