MSc Degree Programme:
Signal processing and communications provide the theoretical foundations for any application which generates, processes, transmits or stores any type of signal. Practical examples are computers and smart phones, and the Internet, DVD players, radar and wireless systems, sensor networks, medical images and digital cameras.
The course is unique in Europe as the curriculum covers both signal processing and communications with an emphasis on basic concepts common to both disciplines. We teach fundamental principles and use real-world system examples to demonstrate their practical application.
The course will appeal to graduates who wish to pursue a career in a range of industries such as communications, radar, medical imaging and wherever signal processing is applied. It is suitable for graduates who wish to develop the specialist knowledge and skills relevant to this industry and as advanced study in preparation for research work in an academic or industrial environment, or in a specialist consultancy organisation. All lecture courses are at the cutting edge of research in this field.
During the academic year students study compulsory taught courses, which include formal lectures, laboratory demonstrations, and practical exercises. Following the end of semester two, MSc students will complete a research project, which will normally be based upon a real-world problem posed by academic staff. The project is reported by a thesis. The taught courses in semester one start with fundamental theory followed by more advanced courses in semester two, and teaching of theory is supported by one MATLAB based course with experimental work. The project will build on the theory taught and the topic will usually be based on the current research at the Institute for Digital Communications (IDCOM).
Each course consists of a balance of lectures, seminars, workshops and visits.
- Discrete-Time Signal Analysis
- Digital Communication Fundamentals
- Statistical Signal Processing
- Image Processing
- Digital Signal Processing Laboratory (MSc)
- Probability, Random Variables and Estimation Theory (PET) (MSc)
- Adaptive Signal Processing
- Advanced Coding Techniques (MSc)
- Advanced Wireless Communications (MSc)
- Array Processing and MIMO Systems (MSc)
- Advanced Concepts in Signal Processing
- Pre-Dissertation Project in Signal Processing and Communications
- Signal Processing and Communications: Project and Thesis
Students will complete a research project based upon a real-world problem posed by academic staff. Subject to a satisfactory performance in the examinations of the first two semesters, students are permitted to pass to the MSc Project.
Funding and Finance:
The School of Engineering and the University of Edinburgh offer many scholarships and bursaries. These range from course specific funding options, to general MSc scholarships. You can visit the University's scholarships website to find out more.
The School of Engineering also has several courses which are eligible for the Postgraduate Loans (SAAS) which is a loan system for Scottish/EU students. For more information and to find out about eligibility visit our Postgraduate Loans webpage. The Scholarship and Student Funding website also has an excellent search tool, to help you find funding available to you.
Fees and Living Expenses
Certain fees and other additional programme costs (eg research costs, class field trips) must be paid in full by each postgraduate student at the beginning of each academic session in September. More information about fees and additional costs can be found on the degree pages.
In terms of living expenses, you do not need to provide evidence of funding, however, you should be aware that, in applying for admission, you will be taking on a major commitment in terms of both time and money. The University recommends approximately £150 per week if living in University self-catered accommodation and £180 per week if in University catered halls (these figures include rent, lunches and personal expenditure). The University of Edinburgh's Fees and Finance section has more information available about fees and living expenses which you should take a moment to read over.
- Professor Harald Haas, Professor of Mobile Communications
- Professor John Thompson, Professor of Signal Processing
- Professor Mike Davies
- Professor Bernie Mulgrew, Professor of Signals and Systems
- Dr David Laurenson, Senior Lecturer
- Dr James Hopgood, Senior Lecturer
- Professor Tharm Ratnarajah, Professor in Communications and Signal Processing
For graduates who wish to stay in Scotland, numerous national and international companies based in Scotland's "Silicon Glen" such as Epson, Agilent, Wolfson Microelectronics, Xilinx, IndigoVision, Pentland Systems and Selex SAS provide excellent employment opportunities.
IDCOM is one of the leading institutes in the UK in signal processing and digital communications. All academics are internationally recognised experts in their field and you have the opportunity to participate in cutting edge research in signal processing and digital communications. Students in the past published peer-reviewed research papers from their project work, which has helped them to secure PhD scholarships at top universities worldwide. In addition, each year we always strive to offer PhD scholarships to students who are at the top of the MSc class.