Immerse yourself in the emerging field of engineering, computing and statistics on our MSc in Machine Learning and Internet of Things programme.
Why study with us
- Choose an optional module based on your own academic interests. Options are available for signal processing, computer vision, sensors and instruments.
- Learn from an expert team. Your tutors have research interests and experience in the field of data science and its applications.
- Participate in a School Expo, presenting your project to an external audience including industry representatives.
What you'll do
- Access world-class facilities and expertise in machine learning, internet of things and related applications.
- Located within one of the most intense engineering and manufacturing areas in the UK, our £35m Engineering Innovation Centre provides a space for teaching, research and work on real-world projects with commercial partners.
- You will also have option to contribute to the ongoing biomedical data analytics projects brought about by our collaborative links with the health sector.
Modules
Every effort has been made to ensure the accuracy of our published course information. However, our programmes are subject to ongoing review and development. Changing circumstances may cause alteration to, or the cancellation of, courses. Changes may be necessary to comply with the requirements of accrediting bodies or revisions to subject benchmarks statements. We may also make changes to keep courses updated and contemporary, or as a result of student feedback. We reserve the right to make variations if we consider such action to be necessary or in the best interests of students.
Accreditations
Academic expertise
Future careers
As a graduate, you will be equipped with skills in working on modern machine learning and IoT projects in both an individual and a team capacity. Upon graduation you may apply for a PhD.
Studying Machine Learning and Internet of Things could lead to the following careers:
- Machine learning engineer
- Machine learning scientist
- Data translator
Entry requirements
Minimum qualifications:
- Applicants should hold at least 2:2 degree which includes programming modules
- Applicants who do not meet the above requirements can be considered individually subject to an interview
- IELTS: 6.0 with no components lower than 5.5
Fees and funding
Scholarships and bursaries
We offer many scholarships, bursaries and funds to support you during your studies. Select your country or region to see if you are eligible and how to apply.
Northern Consortium (NCUK) Scholarship
In recognition of our partnership with the Northern Consortium (NCUK) we are delighted to offer an attractive scholarship to these students.
Find out more about Northern Consortium (NCUK) ScholarshipArticulation Scholarship
To celebrate our formal partnerships with key institutions worldwide, we are offering a scholarship of £2,000 per year to each student who progresses from one of our specified partner institutions (see list).
Find out more about Articulation ScholarshipChevening - UK Government Scholarship
Join a diverse network of future leaders and study with us on a fully funded Chevening Scholarship. The University of Central Lancashire are proud to support Chevening Scholarships, the UK government's scholarships programme for international students studying master's degrees.
Find out more about Chevening - UK Government ScholarshipExcellence Scholarship
If applicants have achieved excellent grades prior to entering their chosen undergraduate or postgraduate taught programme with us, the Excellence Scholarship will be applied.
Find out more about Excellence Scholarship
This course is delivered by the School of Engineering and Computing
For information on possible changes to course information, see our essential and important course information
You can find regulations and policies relating to student life at the University of Lancashire on our student contract page