Master of Science in Signal Processing and Machine Learning
University of Malta
Information last verified July 2026
Program Overview
The Master of Science in Signal Processing and Machine Learning aims to instill a high-level knowledge in the areas of Signal Processing and Machine Learning with additional focus on fostering research and development of new ideas in these areas. The M.Sc. in Signal Processing and Machine Learning seeks to give a solid understanding of the theory, practice and the current research status in signal processing and machine learning tools, and their application in specific domains. Through a selection of core and advanced elective topics you will be able to select the areas of greatest interest leading to the M. Sc. Dissertation.
Career Opportunities
As a graduate with a M.Sc. in Signal Processing and Machine Learning, you will find employment in various sectors of the industry, including but not limited to: manufacturing, finance, game development, embedded systems, and software development. Furthermore, the knowledge and skills attained during this course open doors for employment with large research groups in industry, research institutes, and universities abroad. This degree enables also further studies leading to a doctorate degree.
Program Curriculum
Year 1 Semester 1 Compulsory Units (All students must register for this/these unit/s) CCE3206 * Digital Signal Processing 5 ECTS CCE5109 Algorithm Deployment 5 ECTS CCE5110 Best Practice in Model Development and Training 5 ECTS CCE5224 Digital Image Processing 5 ECTS CCE5502 Fundamentals of AI and ML 5 ECTS ICT5902 Research Methods 5 ECTS Semester 2 Compulsory Units (All students must register for this/these unit/s) ARI5121 Applied Natural Language Processing 5 ECTS CCE5106 Deep Learning Neural Networks 5 ECTS CCE5204 Advanced Digital Signal Processing 5 ECTS CCE5215 Computer Vision 10 ECTS CCE5216 Remote Sensing 5 ECTS Summer Semester Compulsory Units (All students must register for this/these unit/s) CCE5901 Dissertation 30 ECTS *Students are required to register for this study-unit or another study-unit as directed by the Board of Studies 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, 2021 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.
Admission Requirements
Refer to the list of country-specific qualifications Notes and any other requirements The Course shall be open to applicants in possession of one of the following qualifications: (a) the degree of Bachelor of Science in Information Technology (Honours) - B.Sc. I.T. (Hons) - with at least Second Class Honours or (b) the degree of Bachelor of Science (Honours) in Information and Communication Technology - B.Sc. (Hons) I.C.T. - with at least Second Class Honours or (c) the degree of Bachelor of Science (Honours) in Computing Science or in Computer Engineering - B.Sc. (Hons) - with at least Second Class Honours, provided that for the degree in Signal Processing and Machine Learning, other areas of study deemed relevant by the Board may also be considered or (d) the degree of Bachelor of Engineering (Honours) - B.Eng.(Hons) - with at least Second Class Honours in a suitable area of study or (e) any other Honours degree with a strong ICT component which the Board deems comparable to the qualifications indicated in (a), (b), (c) or (d) or (f) a Third Class Honours degree in an ICT related area of study together with a professional qualification/s or experience as evidenced by a substantial portfolio of recent works, deemed by the University Admissions Board, on the recommendation of the Faculty Admissions Committee, to satisfy in full the admission requirements of the Course or (g) any other Honours degree obtained with at least Second Class Honours, provided that applicants would have successfully completed at least three individual study-units as directed by the Board, prior to being admitted to the Course. The admission of applicants under paragraph (f) may be made conditional on the results of an interview conducted for the purpose. Interviews, when necessary, shall be conducted by a board composed of at least three members. Eligible applicants in terms of paragraphs (a) to (f) may register as visiting students for individual study-units, as directed by the Board, and
Tuition & Financial Information
Tuition Fee
€13,400 (Non-EU)
About University of Malta
University of Malta
Msida, Malta
TheUniversity of Malta(Maltese:L-Università ta' Malta;UM; formerlyUOM) is apublic research universityin the towns ofMsidaandValletta, Malta. It serves as theflagshipandnational universityof...
University Profile- Start Date October
- Language English
- Duration 2 years
- Credits 90
