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COURSE TITLE Master of Science in Signals, Systems and Control
 
COURSE CODE PMSCSSCFTT7

POSTNOMINAL

LEVEL OF QUALIFICATION

NATIONAL QUALIFICATIONS
FRAMEWORK LEVEL

DURATION

MODE OF ATTENDANCE

TOTAL ECTS CREDITS

COORDINATOR

M.Sc.(Melit.)

Second Cycle

Level 7

3 Semesters

Full-time

90

Simon G. Fabri

COURSE OVERVIEW
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.
 
LEARNING OUTCOMES 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.
 
CAREER OPPORTUNITIES AND ACCESS TO FURTHER STUDY 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.
 
COURSE INTENDED FOR The course is targeted for graduates in engineering, information technology, physics, mathematics and related areas.
 
ADMISSION AND
PROGRESSION REQUIREMENTS
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 2017.

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


 

 

 
Last Updated: 7 April 2017
 
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.

For applicable fees please check the link on the Finance Office webpage.
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