Programme Description

Programme Description



University of Malta

Faculty of Information and Communication Technology

Master of Science in Signal Processing and Machine Learning [Taught and Research (Mainly Taught)]
(M.Sc. (Melit.))

(for courses commencing October 2020)

YEAR ONE

In addition to the compulsory study-units, students are required to choose study-units to the value of 10 ECTS credits from the elective study-units on offer during the year.

Semester 1

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

CCE5107 Pattern Recognition Design and Evaluation 5 ECTS
CCE5225 Machine Learning and Pattern Recognition Algorithms 5 ECTS

Elective Units Elective units are offered subject to availability and time-table constraints.

CCE5126 Information Theory 5 ECTS
CCE5501 Research Topics in Signal Processing and Machine Learning 5 ECTS
ICS5110 Applied Machine Learning 5 ECTS




Semester 2

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

CCE5106 Advanced Pattern Recognition and Machine Learning 5 ECTS
ICT5902 Research Methods 5 ECTS

Elective Units Elective units are offered subject to availability and time-table constraints.

CCE3015 Programming Parallel Architectures 5 ECTS
CCE5501 Research Topics in Signal Processing and Machine Learning 5 ECTS
CIS3111 Cloud Computing 5 ECTS
ICT5101 Internet of Things 5 ECTS




YEAR TWO

In addition to the compulsory study-units, students are required to choose study-units to the value of 15 ECTS credits from the elective study-units on offer during the year.

Semester 1

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

CCE5207 Digital Signal Processing and Filters 10 ECTS

Elective Units Elective units are offered subject to availability and time-table constraints.

CCE5126 Information Theory 5 ECTS
CCE5501 Research Topics in Signal Processing and Machine Learning 5 ECTS
ICS5110 Applied Machine Learning 5 ECTS




Semester 2

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

CCE5204 Advanced Digital Signal Processing 5 ECTS

Elective Units Elective units are offered subject to availability and time-table constraints.

CCE3015 Programming Parallel Architectures 5 ECTS
CCE5205 Computer Vision 5 ECTS
CCE5224 Digital Image Processing 5 ECTS
CCE5501 Research Topics in Signal Processing and Machine Learning 5 ECTS
CIS3111 Cloud Computing 5 ECTS
ICT5101 Internet of Things 5 ECTS




Semester 3

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

CCE5901* Dissertation 30 ECTS

*Work on the dissertation is expected to start during the Summer Period of Year One and continue up to the end of Semester 3 of Year Two.



Students who at the discretion of the board are found to be lacking in essential knowledge can be asked to follow, as part of the Elective study-units in lieu of those listed above, not more than four Level 3 study-units of which not more than 2 study-units can be outside the Faculty of ICT.

The University shall make every effort to ensure that the published Course Plans, Programmes of Study and study-units catalogues are complete and up-to-date, but reserves the right to make changes on the recommendation of the relevant Board. The availability of the elective study-units may be subject to timetabling constraints. Study-units not attracting a sufficient number of registrations may be withdrawn without notice.


This programme of study is governed by ‘The General Regulations for University Postgraduate Awards, 2008’ and by the Bye-Laws for the award of the Degree of Master of Science - M.Sc. - under the auspices of the Faculty of Information and Communication Technology.
 
Last Updated: 12 June 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.

https://www.um.edu.mt/course/programme