Overview
Sensor Technologies and Applications at University of Cambridge consists of a combination of taught and research modules aimed at teaching students the technical and transferable skills required to carry out original research in the area of sensing and to become future leaders in sensor technologies.
Subject to passing the MRes in Sensor Technologies and Applications and demonstrating the ability to conduct research at PhD level, students continue to carry out an interdisciplinary PhD project in the area of sensing offered by the approximately 50 participating academic supervisors. Project supervisors will provide short project outlines. Each student will develop it into a detailed PhD proposal together with their supervisor and defend it in front of a panel of academic and/or industrial members of the Sensor CDT.
The PhD projects will allow students to become experts in their specific fields. Continuing interdisciplinary research activities during the PhD phase, such as workshops and seminars, will foster collaboration across discipline boundaries and provide a peer network. Other opportunities during the PhD phase include entrepreneurship, outreach, and industry placements.
The programme has the following aims:
Produce science and engineering leaders with a high level of understanding and skills in sensor technology, in particular, the fundamentals of the field, together with the necessary systems and applications knowledge, and relevant hands-on skills;
To produce leaders who understand sustainable practice and bring innovative solutions to pressing societal problems, for example, those relating to our changing environment and health;
Encourage an appreciation of relevant technological opportunities for sensors and their networks, and the business, road-mapping and cost-analysis tools used to determine the adoption of new technological solutions;
Encourage the appreciation and understanding of responsible research and innovation specific to sensor technologies and applications (e.g. data privacy and ownership, trustworthiness of sensor information and unintended use of sensor technologies);
Develop a strong business awareness in the MRes for the commercialisation opportunities of sensors and related systems, and to foster an understanding of the connections between technology, management and entrepreneurship;
Expose the students to a range of cognate sensor technologies and application areas, and to provide the experience of a variety of different R&D cultures across the University.
Encourage students to work across scientific- and engineering-discipline boundaries, with a resultant enhancement of interdisciplinary understanding;
Equip graduates of the programme with communication and outreach training, personal and development skills, as well as specific research training to enable them to be future technology leaders with excellent public engagement skills.
Programme Structure
Courses include:
- The course is structured in two phases: a one-year MRes course followed by a three-year PhD project. The MRes course will include research and transferable skills training aimed at preparing students optimally to carry out an interdisciplinary PhD in sensor technologies in an uncertain world.
During the MRes course, students are expected to:
attend the Principles of Sensing course (approximately eight one-hour lectures and eight two-hour practical sessions);
attend the AI and Machine Learning for Data Pipelines course (approximately 24 one-hour lectures);
attend the Responsible Research and Inclusive Innovation in an Uncertain World course (approximately 16 hours, covering topics in entrepreneurship, inclusive innovation, responsible research and scientific communication);
attend all workshops, seminars and industry talks
successfully conduct three extended projects; two individual mini research projects (approximately ten weeks each in Lent and Easter term) and the team challenge (approximately twelve weeks during the summer vacation), which is undertaken by the whole cohort working collaboratively.
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
The deadline for the first round of applications will be in early January with interviews of shortlisted candidates scheduled for January and February
Language
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Delivered
Campus Location
- Cambridge, United Kingdom
Disciplines
Web Technologies & Cloud Computing View 93 other Masters in Web Technologies & Cloud Computing in United KingdomWhat students do after studying
Academic requirements
English requirements
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Other requirements
General requirements
Applicants for this course should have achieved a Good II.i Honours Degree.
If your degree is not from the UK, please check International Qualifications to find the equivalent in your country.
We are looking for students with a demonstrable interest in sensor technologies or applications.
Typically applicants will have a university degree in a natural science, eg:
- physics
- chemistry
- biology
- biochemistry
- earth sciences
- environmental sciences
- materials science
- neuroscience
or technology, eg:
- engineering
- computer science
or mathematics or medicine.
- Applicants are expected to demonstrate abilities at an adequate level in mathematics, especially in the domain of linear algebra, statistics and probability.
Tuition Fees
-
International Applies to you
Applies to youNon-residents42546 GBP / year≈ 42546 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents11208 GBP / year≈ 11208 GBP / year
Living costs
Cambridge
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Sensor Technologies and Applications.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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