menu icon
Signal Processing and Communications MSc

Signal Processing and Communications MSc

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Signal Processing Components Telecommunications

Course type

Taught

Course Summary

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 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.

Different course options

Full time | The University of Edinburgh | 1 year | SEP

Study mode

Full time

Duration

1 year

Start date

SEP

Modules

This is semester 1 module.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£12,300

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£26,600

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Students need to have a UK 2:1 honours degree, or its international equivalent, typically in electrical engineering with a specialisation in signal processing and/or communications. Students who have a background in a related field, such as computer Science, Physics or Mathematics will also be considered.

Similar courses at different universities