Signal Processing and Communications MSc
Awards: MSc
Study modes: Full-time
Funding opportunities
Signal processing and communications provide the theoretical foundations for any application which generates, processes, transmits or stores any type of information. They underpin many of the technological advancements which are currently driving rapid change in industry, such as data science, deep learning, and the Internet of Things.
Our MSc in Signal Processing and Communications will enable you to contribute to the industries and research that will help make our world smarter, healthier, and more sustainable.
You will be immersed in the most recent and exciting developments such as:
- deep neural networks
- compressive sensing
- wireless communication theory
- numerical Bayesian methods.
You will gain an understanding of the theoretical foundations of these subjects, as well as recent advanced topics and how they are applied to solve practical situations.
Through the MSc research project, you will demonstrate applications and delve deeper into the underpinning theory by investigating a solution to a real-world signal processing and communication problem.
Who this programme is for
Our programme is suitable for graduates who wish to develop specialist knowledge and skills relevant to industries where signal processing, machine learning, and digital communications are integral.
It is also suitable as advanced study in preparation for a PhD in the field, and as a graduate, you could have the opportunity to obtain a scholarship to continue your studies with us.
Why study in Edinburgh?
- Participate in cutting-edge research projects supervised by world-leading academics at a top global institution
- Access dedicated high-performance computational resources to train machine and deep learning models as part of the MSc dissertation
- Obtain a solid foundation in new advances in digital communications, signal processing, and machine learning and explore applications in cutting-edge vibrant industries
- Have the opportunity to obtain a scholarship to continue your studies for PhD in digital communications, signal processing or machine learning at the School of Engineering.
How will I learn?
You will receive lectures, coursework and practical exercises to deepen your knowledge and you will have opportunities to:
- learn from our internationally leading researchers whose research informs our teaching
- hone your programming skills
- access dedicated high-performance GPU computing facilities for your MSc project
- engage with the Institute for Digital Communications, often in collaboration with industrial partners.
The MSc in Signal Processing and Communications is a full-time 12-month programme.
Courses can change from year-to-year depending on availability. Those listed provide a representation of courses previously offered. Courses for the forthcoming year will be published on the Degree Programme Table in the Spring.
In Semester 1 you will take courses covering important aspects in signal and image processing, digital communications, and estimation theory.
Semester 2 elaborates further on those foundations to provide you with skills and knowledge at the cutting edge of machine learning, MIMO systems, and advanced communication systems, among others.
MSc dissertation project
In the summer months (May to August), you will complete your MSc dissertation project under the supervision of one of our academics.
Examples of recent dissertation topics include:
- Digital twin-assisted quantitative 3D bioimpedance tomography for lung imaging
- Reconfigurable intelligent surfaces for optical wireless communication
- Investigating heart rate as a biomarker for seizure detection and forecasting
- Visible light communication using photon counting (SPAD) receivers
- Joint radar and communications waveform design and detection
- Texture analysis of bone scans to detect osteoporosis using machine learning techniques
- Acoustic-based hand gesture recognition for smartphone operation
- Speech localisation using deep neural networks
- The space of invisibility in X-ray computed tomography
- Active learning: Towards data-efficient deep learning
Find out more about compulsory and optional courses
We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.
Award | Title | Duration | Study mode | |
---|---|---|---|---|
MSc | Signal Processing and Communications | 1 Year | Full-time | Programme structure 2024/25 |
The programme is designed to provide broad training in digital communications, machine learning, and signal processing. We cover the theoretical foundations as well as advanced topics at the cutting-edge of current research.
The objectives of our programme are to:
- identify fundamental principles of signal processing and communications
- apply these principles in scientific and technological terms
- consider current limits and future priorities for signal processing and communications.
The increasing demand for experts in signal processing and communications means you will be well-placed to develop a rewarding and exciting career.
On graduating you will be well placed to pursue a career in an industry such as:
- machine learning and deep learning
- data science
- internet of things
- communications
- radar
- medical images and physiological monitoring
- audio and speech recognition and production
- anywhere else where signal processing and communications is applied, such as in smart grids or Earth observation.
Alternatively, you could choose to pursue research work in an academic or industrial environment or go into PhD studies in Edinburgh or in other prestigious institutions in the UK and abroad.
These entry requirements are for the 2025/26 academic year and requirements for future academic years may differ. Entry requirements for the 2026/27 academic year will be published on 1 Oct 2025.
A UK 2:1 honours degree, or its international equivalent, typically in electrical and/or electronics 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, machine learning, 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. In addition, some of the courses and/or your final MSc project may require programming or learning a new programming language. Therefore, you will normally need to demonstrate practical knowledge and/or experience in a high level programming language.
Students from China
This degree is Band C.
International qualifications
Check whether your international qualifications meet our general entry requirements:
English language requirements
Regardless of your nationality or country of residence, you must demonstrate a level of English language competency which will enable you to succeed in your studies.
English language tests
We accept the following English language qualifications at the grades specified:
- IELTS Academic: total 6.5 with at least 6.0 in each component. We do not accept IELTS One Skill Retake to meet our English language requirements.
- TOEFL-iBT (including Home Edition): total 92 with at least 20 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
- C1 Advanced (CAE) / C2 Proficiency (CPE): total 176 with at least 169 in each component.
- Trinity ISE: ISE II with distinctions in all four components.
- PTE Academic: total 65 with at least 59 in each component. We do not accept PTE Academic Online.
- Oxford ELLT: 7 overall with at least 6 in each component.
Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS, TOEFL, Trinity ISE or PTE, in which case it must be no more than two years old.
Degrees taught and assessed in English
We also accept an undergraduate or postgraduate degree that has been taught and assessed in English in a majority English speaking country, as defined by UK Visas and Immigration:
We also accept a degree that has been taught and assessed in English from a university on our list of approved universities in non-majority English speaking countries (non-MESC).
If you are not a national of a majority English speaking country, then your degree must be no more than five years old at the beginning of your programme of study.
Find out more about our language requirements:
Deposit
If you receive an offer of admission, you will need to pay a deposit to secure your place.
- £1,500 (this contributes towards your tuition fees)
Any applicants who are required to pay will receive an offer with full details. (If there is no information on your offer about the deposit, then you are not required to pay.)
Find out more about tuition fee deposits:
Living costs
You will be responsible for covering living costs for the duration of your studies.
Tuition fees
Award | Title | Duration | Study mode | |
---|---|---|---|---|
MSc | Signal Processing and Communications | 1 Year | Full-time | Tuition fees |
Funding for postgraduate study is different to undergraduate study, and many students need to combine funding sources to pay for their studies.
Most students use a combination of the following funding to pay their tuition fees and living costs:
borrowing money
- taking out a loan
- family support
- personal savings
- income from work
- employer sponsorship
- scholarships
Explore sources of funding for postgraduate study
UK government postgraduate loans
If you live in the UK, you may be able to apply for a postgraduate loan from one of the UK’s governments.
The type and amount of financial support you are eligible for will depend on:
- your programme
- the duration of your studies
- your tuition fee status
Programmes studied on a part-time intermittent basis are not eligible.
Engineering International Masters Scholarships
- £3,000
The scholarships will be awarded to overseas applicants who have been accepted for admission on a full-time basis for an eligible postgraduate taught Masters programme within the School of Engineering.
The scholarship will be awarded broadly on the basis of academic merit with candidates requiring a first-class honours degree from a UK university or overseas equivalent.
Learn more about this scholarship:
Other funding opportunities
Search for scholarships and funding opportunities:
- Admissions Officer (lines open Mon-Fri 10am-4pm)
- Phone: +44 (0)131 650 5737
- Contact: futurestudents@ed.ac.uk
- Programme Director, Dr Javier Escudero Rodriguez
- Contact: Javier.Escudero@ed.ac.uk
- School of Engineering
- Sanderson Building
- The King's Buildings Campus
- Edinburgh
- EH9 3FB
- School: Engineering
- College: Science & Engineering
Applying
Select your programme and preferred start date to begin your application.
MSc Signal Processing and Communications - 1 Year (Full-time)
Due to high demand, the school operates a number of selection deadlines.
We strongly recommend you apply as early as possible. Applications may close earlier than the published deadlines if there is exceptionally high demand.
We will make a small number of offers to the most outstanding candidates on an ongoing basis, but hold the majority of applications until the next published selection deadline.
We aim to make the majority of decisions within eight weeks of the selection deadline.
If we have not made you an offer by a specific selection deadline this means one of two things:
- your application has been unsuccessful, in which case we will contact you to let you know, or
- your application is still being considered, will be carried forward for consideration in the next selection deadline and we’ll be in touch once a decision is made
Selection deadlines
Round | Application deadline | Decisions made or applications rolled to the next deadline |
---|---|---|
1 | 15 December | 1 March |
2 | 31 March | 31 May |
3 | 31 May | 31 July |
You must submit one reference with your application.
Find out more about the general application process for postgraduate programmes:
Further information
- Admissions Officer (lines open Mon-Fri 10am-4pm)
- Phone: +44 (0)131 650 5737
- Contact: futurestudents@ed.ac.uk
- Programme Director, Dr Javier Escudero Rodriguez
- Contact: Javier.Escudero@ed.ac.uk
- School of Engineering
- Sanderson Building
- The King's Buildings Campus
- Edinburgh
- EH9 3FB
- School: Engineering
- College: Science & Engineering