Liverpool John Moores University
Sensors, Data and Management
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.
*Industrial placements are not guaranteed and are subject to interview. Please contact firstname.lastname@example.org for more information.
Master of Science - MSc (PG): You will need:
a minimum 2:1 BEng Honours degree in Electrical, Electronics or Telecommunications Engineering, or a related engineering discipline
a 2:2 BEng degree with relevant experience at leading teams 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?
Please note: All international qualifications are subject to a qualification equivalency check via NARIC.
View country specific entry requirements:
Contact LJMU's International Admissions Team (email@example.com) for guidance on visa information. Further information is also available from our international web pages:
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 (20 credits)
Advanced Programming (20 credits)
Sensor Networks and Data Analytics (20 credits)
Modelling and Simulation (20 credits)
MSc Dissertation (60 credits)
Research Skills (10 credits)
Professional and Leadership Skills (10 credits)
Big Data Analysis (20 credits)
Advanced UAV Technology and Operations (20 credits)
Project Management Fundamentals (20 credits)
Strategic Project Environment (20 credits)
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.
|Qualification||Study mode||Start month||Fee||Fee locale||Course duration|
|Master of Science - MSc (PG)||Full-time||September 2019||14,450 (Year 1)||International||2 Years|
|Master of Science - MSc (PG)||Full-time||September 2019||7,600 (Year 1)||EU||2 Years|
|Master of Science - MSc (PG)||Full-time||September 2019||7,600 (Year 1)||Scotland||2 Years|
|Master of Science - MSc (PG)||Full-time||September 2019||7,600 (Year 1)||England||2 Years|
|Master of Science - MSc (PG)||Full-time||September 2019||7,600 (Year 1)||Northern Ireland||2 Years|
|Master of Science - MSc (PG)||Full-time||September 2019||7,600 (Year 1)||Wales||2 Years|
Get in touch today and increase your future employability