MSc Smart Systems Engineering

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 - 3 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Our Smart Systems Engineering MSc develops your technical knowledge and skills in designing digital (smart) systems enabling you to work across a range of disciplines.

About this course

Many of the most influential projects and products today are not solely mechanical, physical, electrical or electronic. They are driven by networked computing devices and software to create smart systems that improve resilience, efficiency and value. Examples range from hybrid vehicles to self-healing power grids.

The MSc is suitable for:

graduates in computing disciplines with an interest in resilient, networked, distributed, mobile and smart systems, embedded computing and control
computing professionals wanting to upgrade their existing skills
engineering graduates from any discipline with an interest in urban engineering (infrastructure or planning)
professional engineers in firms and organisations who have established smart cities groups
graduates from other numerate disciplines.

The Smart Systems Engineering MSc has four main elements and is taught by leading academics and practitioners from industry and government:

Systems and urban engineering

Whatever your background, you will gain skills in:

systems engineering
leadership of multidisciplinary teams
development life-cycles

Advanced computing or engineering skills

You will take a set of advanced modules determined by your background and interests, eg computer science, civil engineering or power engineering. This will be combined with modules in multidisciplinary engineering and smart systems engineering.

Multidisciplinary systems engineering in practice

You will undertake a substantial multidisciplinary industry-led group project on a design and implementation problem related to smart systems.

Individual research project

You will undertake a project in either the Newcastle Helix laboratories (Cyber-Physical Systems; Smart Grid; Urban Observatory); School of Computing; or the Institute for Sustainability.

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Requirements

The requirements may vary based on your selected study options.





















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Use our magical AI system, to check your admission chances for this course.
Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 - 3 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs