About this course
The MSc (sandwich) Sensors, Data and Management is an innovative programme designed to be an interface between the University and Industry.
- Follow this application-led curriculum, designed in line with advice from industrial partners, which emphasises an understanding of the concepts and theories that underpin the theory, as well as its practical application within the real-world
- Enjoy high quality teaching, supported by practical laboratory and group activities, with state-of-the-art hardware and software facilities and excellent technical support
- Look forward to a work placement* in your second year of study. The 30 plus week placement and writing of your dissertation will run in tandem between June and May. Your will submit your dissertation in the 3rd week of May
Industrial organisations in different sectors have identified a gap in the market and the need for Engineers with good leadership and interpersonal skills in addition to their technical ability.
This programme aims to be an interface between University and industry. It provides appropriate training to our students in interpersonal and leadership skills as well as the traditional technical skills explored in the modules and industrial placement*.
Year 1 will be spent studying at LJMU. Year 2 is a paid industrial placement.
The programme offers a fast route to charter status for local students while providing real industrial exposure for international students through its technical and interpersonal related courses, and the industrial placement* opportunity.
*Industrial placements are subject to interviews with employers. They are not guaranteed. Please contact firstname.lastname@example.org for more information.
Fees and funding
There are many ways to fund postgraduate study for home and international students
The fees quoted at the top of this page cover registration, tuition, supervision, assessment and examinations as well as:
- Library membership with access to printed, multimedia and digital resources
- Access to programme-appropriate software
- Library and student IT support
- Free on-campus wifi via eduroam
Although not all of the following are compulsory/relevant, you should keep in mind the costs of:
- accommodation and living expenditure
- books (should you wish to have your own copies)
- printing, photocopying and stationery
- PC/laptop (should you prefer to use your own)
- mobile phone/tablet (to access online services)
- field trips (travel and activity costs)
- placements (travel expenses and living costs)
- student visas (international students only)
- study abroad opportunities (travel costs, accommodation, visas and immunisations)
- academic conferences (travel costs)
- professional-body membership
- graduation (gown hire etc)
There are many ways to fund postgraduate study for home and international students. From loans to International Scholarships and subject-specific funding, you’ll find all of the information you need on our specialist postgraduate funding pages.
Further your career prospects
LJMU has an excellent employability record with 96% (HESA 2017) of our postgraduates in work or further study six months after graduation. Our applied learning techniques and strong industry connections ensure our students are fully prepared for the workplace on graduation and understand how to apply their knowledge in a real world context.
Discover the building blocks of your programme
Your programme is made up of a number of core modules which are part of the course framework. Some programmes also have optional modules that can be selected to enhance your learning in certain areas and many feature a dissertation, extended report or research project to demonstrate your advanced learning.
Industrial Context and Relationship
This module aims to teach students about current theories in industrial relationships and explore the context of working in different industries.
This module provides a valuable opportunity for engineering graduates to develop programming skills with high-level language constructs to design and implement engineering software solutions.
Sensor Networks and Data Analytics
This module encourages the development of theoretical understanding and practical experience in wireless sensor networks and big data analytics.
Modelling and Simulation
This module is designed to introduce Matlab coding for scientific computation, and system simulation using Simulink. The module will enable students with a background in using a traditional high-level programming language, but no experience using National Instruments (NI) LabVIEW, to create virtual Instruments (VI's) and interface them with compatible hardware for data acquisition (DAQ) and control applications.
The main aims of the project module are to demonstrate your ability to drive your own deep/thorough investigation, undertake high quality academic research and demonstrate critical evaluation of their results.
This important module represents 600 hours of self-driven scholarly activity. When considering a project it would be appropriate to select/choose a project in a subject area strongly associated with the MSc programme and/or one of the taught modules.
The project module will enable you to develop a particular subject specialism, one that is aligned with future career objectives. You will be required to concentrate fully on an area of work and hence develop a high level of subject knowledge and associated skills in that field.
Completion of the project requires the production of an academic thesis. The choice of subject and formulation of the aims and objectives are mutually agreed between the student and supervisor. Industrially based projects are acceptable as long as they offer an appropriate technical level and sufficient resources to ensure completion.
This module prepares you to undertake your own research project and deliver the required skillset for the successful completion of your investigations. It provides the skills required to formulate a project plan, design experiments, mitigate against uncertainties and deliver a comprehensive description of results.
Professional and Leadership Skills
This module provides a valuable opportunity for engineering graduates to acquire the necessary skills and training to work at postgraduate level, and to develop the important emotional competency skills needed to excel in their professional activities. The module aims to develop:
- awareness of the legal and ethical framework surrounding the activities of a professional engineer, including: personnel, health, safety, and risk (including environmental risk) issues
- awareness of the Emotional Competence Framework for a professional engineer
- a specific set of personal and social competency skills appropriate for a professional engineer, including adaptability, creativity and innovation, creativity diversification, leveraging diversity, political awareness, communication, conflict management, leadership, collaboration and cooperation, team capabilities
Big Data Analysis
This module aims to develop skills in big data analysis, including techniques of dimensionality reduction and the application of statistical and machine learning models. In addition it aims to develop the key skill of working with experts from other domains.
Advanced UAV Technology and Operations
This module aims to provide an in-depth, quantitative, qualitative and critical understanding of the technology deployed in UAV systems. It should enable you to:
- model such systems and design elements of them
- fully comprehend the boundaries and limitations of such systems
- be able to safely deliver well planned UAV missions
Project Management Fundamentals
The module covers the fundamental theory and concepts of Project Management. It explores and promotes contemporary principles and concepts and examines processes, tools and methodologies.
Strategic Project Environment
This module develops your understanding of the project environment and its impact on all phases of a project. It improves your understanding of the projects themselves and thoroughly investigates environmental influences.
An insight into teaching on your course
You will learn via lectures, tutorials, seminars, activity-based learning, group discussions, panel sessions, inverted classroom learning etc.
You will undertake an industrial placement during the second year of study. Interviews will take place with our industry partners to secure these placements.
How learning is monitored on your programme
To cater for the wide-ranging content of our courses and the varied learning preferences of our students, we offer a range of assessment methods on each programme. Assessment techniques vary from module to module to reflect relevant assessment approaches and the key learning points of each topic.
Dr Princy Johnson received her PhD from King’s College London. During her tenure at Nortel Networks UK Ltd, she had a patent issued for a novel re-configurable OADM. Her research interests include energy-efficient protocols for wireless sensor and mobile networks and biased random algorithms for resilience in heterogeneous networks and data fields. An avid collaborator and a registered PRINCE2 ® practitioner, she has put together a cohesive collaborative team from across Europe and coordinated the consortium through research activities and various UK and EU funding application processes. She has been an executive committee member of the Rail Research UK Association (RRUKA) since September 2011. Princy has been recognised as a senior fellow of the Higher Education Academy (SFHEA), UK in 2014.
This programme aims to develop and nurture leadership skills through experiential learning of theory and the industrial placement experience. By working with various industries in the North West, the programme aims to create opportunities for our students to get industrial exposure and become successful leaders in their environment.
What you can expect from your School
The Department of Electrical Engineering is in the Byrom Street complex of LJMU’s City Campus. In addition to specialist engineering facilities, Byrom Street has high quality lecture theatres, meeting and seminar rooms plus social spaces and a large café. The Avril Robarts Library, open 24/7 during semesters, is just minutes away on Tithebarn Street.
Order your brochure Research
You will need:
- a minimum 2:2 BEng Honours degree in Electrical, Electronics or Telecommunications Engineering, or a related engineering discipline
- a minimum 2:2 Honours degree in Mathematics or a physical science, combined with relevant experience in an engineering field or working with Sensors and Data Analytics
- MEng graduates may qualify for up to 20 RPL credits if they have previously studied one of the option modules (or an equivalent) offered at M-level
- IELTS 6.0
Application and selection
Securing your place at LJMU
You will apply for the majority of postgraduate courses using our online application form. You should complete the form thoroughly and provide a detailed personal statement which reflects your suitability and aptitude for the programme.
The University reserves the right to withdraw or make alterations to a course and facilities if necessary; this may be because such changes are deemed to be beneficial to students, are minor in nature and unlikely to impact negatively upon students or become necessary due to circumstances beyond the control of the University. Where this does happen, the University operates a policy of consultation, advice and support to all enrolled students affected by the proposed change to their course or module.
Further information on the terms and conditions of any offer made, our admissions policy and the complaints and appeals process.