Course title: Master of Science in Signals, Systems and Control
Course code: PMSCSSCFTT7
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.
Admission and progression requirements
The Course shall be open to applicants in possession of one of the following 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 (1), (2), (3) or (4).
Info for applicants with international qualifications
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.
The International Office at UM provides information about admission, English language requirements, and comparability of qualifications. Dedicated personnel assist international students with visas, health tests, accommodation and other related issues.
Fees and funding
Annual Enrolment Fee: Euro 400
Total Tuition Fees: Euro 13,400
Year 1: Euro 13,400 - Year 2: NIL
These tuition fees are quoted for indicative purposes only as they are based on the programme of studies of 2018/9.
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.
Course intended for
The course is targeted for graduates in engineering, information technology, physics, mathematics and related areas.
Career opportunities 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.