MSc Communications and Signal Processing

1 Year On Campus Masters Program

Newcastle University

Program Overview

This one‑year full‑time MSc equips students with advanced theory and practical skills in communications engineering and digital signal processing, bridging hardware, algorithms and networks.
It’s ideal for graduates in electrical, electronic or computer engineering (or closely related disciplines) who want to become designers/developers in communications systems, signal processing, sensor networks and related fields.

Curriculum Structure:

Taught Modules (Autumn & Spring terms): Students begin with core modules such as Communications and Signal Processing (Coursework) (20 credits) and Intelligent Signal Processing (20 credits) where they develop a deep understanding of analysing and manipulating signals in time and frequency‑domains, and designing DSP algorithms. They also study Communication Networks and Security (20 credits) and M2M Technology Internet of Things (20 credits), gaining expertise in network protocols, wireless sensor/IoT communications and secure communications. In addition, Machine Learning for Engineering Applications (20 credits) and Research Skills and Development for Engineers (20 credits) prepare students for independent project work and equip them with research techniques, data‑modelling and professional skills.
Individual Project (Summer term): The final major component is the Individual Project (60 credits), where students apply their learning to a substantial self‑directed investigation—designing, implementing and evaluating a communications or signal‑processing system (for example in wireless networks, image/sensor processing or secure communications).
Final Stage (Submission & evaluation): At year‑end students submit their project report and often present their findings, demonstrating competence in system‑level thinking, signal processing, communications network design, simulation tools (e.g., MATLAB/Simulink) and professional engineering practice.

Focus areas: communications networks and security; digital signal processing and intelligent signal algorithms; sensor/IoT‑enabled communications; machine learning for signals and communications; individual research project.

Learning outcomes: Students will be able to analyse and design advanced communication systems, implement signal processing algorithms for time and frequency domain problems, use industry‑standard tools (e.g., MATLAB/Simulink, DSP hardware), simulate and evaluate wireless networks/sensor systems and carry out an independent engineering research project.

Professional alignment (accreditation): The programme is aligned with professional engineering practice and is listed as accredited by the Institution of Engineering and Technology (IET) for relevant cohorts, supporting progression toward Chartered Engineer status.

Reputation (employability rankings): The School of Engineering at Newcastle University is ranked in the top 140 worldwide for Engineering & Technology in the QS subject rankings. Graduates from this MSc often go into roles as design/development engineers in telecommunications, DSP, wireless networks, sensor/IoT systems or progress to further research.

Experiential Learning (Research, Projects, Internships etc.)

From day one, students on this MSc programme are immersed in hands‑on engineering and real‑world system design. They benefit from using advanced hardware and software in the dedicated labs of the School of Engineering, Newcastle University, are encouraged to collaborate on group‑based explorations of communications and signal processing, and carry out a substantial individual research project. The university’s strong research group in intelligent sensing and communications provides a rich environment for applied innovation and industry‑relevant experimentation.

Here’s what that means in practice:

Use of industry‑level simulation and design software, such as MATLAB, Simulink, NS2, VHDL, ADS and PSpice — enabling you to model communications systems, signal‑processing algorithms and hardware architectures.
Hands‑on lab and workshop sessions in DSP (digital signal processing) and communications hardware, including FPGA devices and test instruments, within the School’s teaching and research laboratories.
Engagement in group work, seminars, computer workshops, laboratory work and industry‑visits, delivering collaborative and applied learning beyond the classroom.
Completion of a major Individual Project (60 credits) in which students investigate a real engineering problem — for example wireless network design, sensor arrays, image/signal processing or communication protocol implementation.
Built‑in exposure to emerging applications such as IoT sensor networks, wireless and optical communications, machine learning for signal processing, multimodal sensing, data fusion and security in communications.
Access to the state‑of‑the‑art £110 million Stephenson Building for collaboration, design and experimentation across electronics, communications and signal processing.

Progression & Future Opportunities

Graduates are equipped to step into roles such as Communications Systems Engineer, Digital Signal Processing (DSP) Engineer, Wireless Networks Designer or Embedded Communications Architect. Because the programme blends deep theoretical understanding with hands‑on practical work, you’ll be ready to work on real‑world communications hardware, algorithms and systems.

Furthermore:

University services & support – The University’s Careers Service offers one‑to‑one advice, CV and interview workshops, networking events and employer connections, ensuring you’re prepared to launch your career.
Employment stats & prospects – Although the programme page doesn’t publish detailed salary figures, it emphasises that many graduates “progress into employment as design and development engineers in telecommunications and digital signal processing areas or onto a higher‑research degree”.
University–industry partnerships – The course draws on research from the University’s strong “Intelligent Sensing and Communications” group, which works on wireless, optical, sensor‑systems and machine‑learning applications — linking you into current industry‑relevant research and networks.
Accreditation & long‑term value – The programme is professionally accredited by the Institution of Engineering and Technology (IET) and recognised by the Engineering Council, giving you a solid foundation for professional engineer registration and long‑term engineering status.
Graduation outcomes – On finishing, you will:
- Understand modern telecommunications systems (including wireless & broadband), signal‑analysis methods (time‑ and frequency‑domain), and machine‑learning for signal/data processing.
- Be proficient in simulation and design of communications/signal‑processing systems using tools like MATLAB, Simulink, VHDL and FPGA environments.
- Be ready to work in sectors like telecoms (wireless, broadband, mobile), embedded communications and signal‑processing design (DSP algorithms, sensor systems), and advance into roles across research, development and system integration.

Further Academic Progression:
After completing this MSc, you could pursue a PhD specialising in areas such as wireless communications, digital signal processing, sensor‑networks or machine‑learning for communications systems. Alternatively, you may choose to undertake specialist professional certifications (for example in FPGA/ASIC signal‑processing design, wireless network protocol design or IoT communications systems) as a stepping stone toward senior‑engineering or technical‑lead roles.