MSc Communications & Signal Processing

Course description

This course delivers a thorough, methodical and wide-ranging education in communications, signal processing, and microwave engineering. It covers in-depth materials including digital communication, wireless communications, mobile networks, digital signal processing, communication networks, and optical communications. In addition, students can choose between course units that specialise in signal and image processing, or antennas and microwave systems engineering. 

The course is aimed at those with prior undergraduate level knowledge on communication and signal processing, wishing to enhance their skills to an advanced level for a rewarding career in related industries. Graduates are also capable to conduct PhD study in world leading research groups and contribute new ideas towards the advancement of technologies.

Fees

For entry in the academic year beginning September 2019, the tuition fees are as follows:

• MSc (full-time)
• UK/EU students (per annum): £10,500 
• International students (per annum): £24,500

The fees quoted above will be fully inclusive for the course tuition, administration and computational costs during your studies.

All fees for entry will be subject to yearly review and incremental rises per annum are also likely over the duration of courses lasting more than a year for UK/EU students (fees are typically fixed for International students, for the course duration at the year of entry). For general fees information please visit: postgraduate fees . Always contact the department if you are unsure which fee applies to your qualification award and method of attendance.

Self-funded international applicants for this course will be required to pay a deposit of £1000 towards their tuition fees before a confirmation of acceptance for studies (CAS) is issued. This deposit will only be refunded if immigration permission is refused. We will notify you about how and when to make this payment.

Entry requirements

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We require a good Upper Second Class Honours degree or international equivalent in an electronic and electrical engineering discipline.

Applicants should have previously studied communication and signal processing engineering fundamentals, and also have good programing skills (i.e. C++, Java, MATLAB).

When assessing your academic record, we take into account your grade average with particular emphasis on relevant course units and the standing of the institution where you studied your qualification.

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You will need to be able to demonstrate competency in the English language and if you do not already possess a recognised English language qualification will need to take a test such as:

•  IELTS score of 6.5 overall with three sub-tests at 6.0 or above and no sub-test less than 5.5
• TOEFL IBT score of 90 overall with no sub-test less than 22
• Pearson PTE score of 59 overall with no sub-test less than 51

Some English language tests are only valid for two years. Your English language test must be valid on the start date of your course.

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Some English Language test results are only valid for two years. Your English Language test report must be valid on the start date of the course.

Application and selection

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Apply online

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If you applied in the previous year and your application was unsuccessful, you may apply again. Your application will be considered against the standard course entry criteria for that year of entry. In your new application, you should demonstrate how your application has improved. We may draw upon information from your previous applications or any previous registrations at the University as a student when assessing your suitability for your chosen course.

Career opportunities

On graduating you will be able to enter directly all areas of the modern communication and signal processing engineering industry, including the fast growing mobile and wireless technology sectors. You will also be prepared to begin PhD research programmes, which may lead to careers in research establishments and universities.

Visit the MSc Communications & Signal Processing page on the University of Manchester website for more details!