MSc in Computational and Software Techniques in Engineering-Computer and Machine Vision option

The specialist Computer and Machine Vision of the MSc Computational and Software Techniques in Engineering is designed to equip students with the advanced skills required to succeed in the rapidly evolving global engineering and IT sectors. This programme equips you to drive innovation across industries such as telecommunication, automotive systems, medical imaging, software engineering and industrial  R&D

You will gain hands-on experience with essential tools like OpenCV, TensorFlow and MATLAB, enabling you to develop intelligent, vision-based solutions for mobile, embedded and workstation platforms. The course is delivered through a combination of structured lectures, tutorial sessions and computer-based workshops, ensuring a balance of theoretical knowledge and practical application.

As part of the ESTIA-Cranfield MSc Programme, students have the opportunity to study at either Cranfield University(UK) or ESTIA (France),  gaining both the academic depth and valuable international experience.

Cranfield University is a world-renowned postgraduate institution located in the UK, specialising in science, engineering, technology and management. With a strong focus on applied research and industry collaboration, Cranfield stands out as a university where innovation meets real-world impact.

The university is home to numerous world-class large-scale facilities. Notably, one of the few universities to own and operate its airport, providing a unique environment for transformational research in aviation and aerospace. Other cutting-edge facilities include advanced engineering laboratories, wind tunnels, accident investigation facilities, a 3D print hub, clean rooms for spacecraft payload assembly and dedicated facilities for composites manufacturing, water sciences, and more.

Cranfield University is not a traditional university. It is a specialist postgraduate powerhouse, dedicated to advanced education, cutting-edge research, and strong industry collaboration, where students are trained to become leaders and innovators in their chosen technical and management fields.

To apply for the course, you will need to submit a personal statement explaining your motivation for choosing the programme and highlighting relevant academic or professional experience. A reference from a teacher or employer is also required. You may also choose to add your CV to provide relevant work experience.

Grade Requirements

• Applicants should hold a UK 2:2 honours degree or an equivalent international qualification, as a minimum.
• Candidates are expected to have an academic background in applied mathematics, aeronautical, mechanical, or electrical engineering or computer science. 
• Applicants who do not meet the standard academic requirements may be considered if they have relevant professional experience in the related field. 

English Proficiency

• Applicants from non-English-speaking backgrounds must achieve a minimum overall IELTS score of 6.5, with at least 5.5 in each component.
• Other equivalent test scores, such as TOEFL or PTE, are also accepted

For the 2025/2026 academic year, international students enrolled in the MSc in Computational and Software Techniques in Engineering-Computer and Machine Vision option programme at Cranfield University will pay a tuition fee of £27910

Cranfield University offers a wide range of scholarship opportunities for international students, designed to support students financially. These include prestigious awards such as the Commonwealth Scholarships for Developing Countries, the Chevening Scholarship, and the Institution of Mechanical Engineers Postgraduate Masters Scholarship. In addition, Cranfield provides its merit-based awards, including the Course Excellence Scholarship and the Regional Excellence Scholarship, among others.

Prospective students are encouraged to explore these options through the university’s dedicated scholarship portal to identify funding opportunities that match their background and ambitions.

Graduates of the programme are well equipped with the technical expertise and practical experience in a broad range of high-demand industries. Typical career paths include:

• Computer Vision Engineer
• Machine Learning Engineer
• Robotics Software Engineer
• Automation Engineer
• AI/ML Research Scientist

Applications are accepted through UCAS or the university’s international application portal. For further support, contact one of our trained counsellors for advice on the application process.