Signal Processing and Communications
Entry requirements
A UK 2:1 honours degree, or its international equivalent, typically in electrical engineering with a specialisation in signal processing and/or communications.
We will also consider your application if you have a background in a related field, such as computer science, physics or mathematics.
Entry into this programme is competitive. A typical offer will normally require a UK first class honours degree, or equivalent, and high grades in fundamentals, such as mathematics, signals and systems, probability and statistics, and communications and signal processing are required.
Months of entry
September
Course content
This programme provides graduates and working professionals with a broad training in signal processing and communications, including machine learning and data science. 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, machine learning and 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.
For more information please see the programme website linked above.
Qualification, course duration and attendance options
- MSc
- part time24 months
- Campus-based learningis available for this qualification
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- MSc Adminstrator
- pgtenquiries@eng.ed.ac.uk
- Phone
- +44 (0)131 651 3565