This programme provides graduates and working professionals with a broad training in signal processing and communications. It is suitable for recent graduates who wish to develop the specialist knowledge and skills relevant to this industry and is also suitable as advanced study in preparation for research work in an academic or industrial environment or in a specialist consultancy organisation.
Engineers or other professionals wishing to participate in the MSc programme may do so on a part-time basis.
Our students gain a thorough understanding of theoretical foundations as well as advanced topics at the cutting edge of research in signal processing and communications, including compressive sensing, deep neural networks, wireless communication theory, and numerical Bayesian methods.
The MSc project provides a good opportunity for students to work on state-of-the-art research problems in signal processing and communications.
This programme is run over 12 months, with two semesters of taught courses followed by a research project leading to a masters thesis.
Semester 1 courses
Discrete-Time Signal Analysis
Digital Communication Fundamentals
Probability, Random Variables and Estimation Theory
Statistical Signal Processing
Signal Processing Laboratory
Semester 2 courses
Adaptive Signal Processing
Advanced Coding Techniques
Advanced Wireless Communication
Array Processing Methods
Advanced Concepts in Signal Processing
Pre-dissertation project preparation and report
With our excellent employability record and internationally respected reputation, the University of Edinburgh
is a reliable choice for developing your engineering career.
This programme will appeal to graduates who wish to pursue a career in an industry such as communications, radar, medical imaging or anywhere else signal processing is applied.
The minimum entry requirement is a UK 2:1 degree, or its international equivalent, typically in electrical engineering with a specialisation in signal processing and/or communications. Applications from related fields such as computer science, physics or mathematics will also be considered. Entry into this high-level programme is competitive and high grades are expected in fundamentals such as mathematics, signals and systems, probability and statistics, and communications and signal processing.