The Master’s programme in Data-Driven Mechanical Engineering offers a unique blend of mechanical engineering and data science, preparing students to tackle modern engineering challenges using computational tools, machine learning, and simulation technologies. The programme is designed for students with a background in mechanical engineering, materials science, or related fields who want to deepen their expertise in digital and data-driven methods.
NOTE: The university may have additional program-specific eligibility requirements. It is recommended to verify these on the official university website.
Extra Notes
Entry Requirements
Minimum 60% in 4 years bachelors Degree or 3 years Bachelor's + 2 years Master's in mechanical engineering or comparable, including at least 75 ECTS credits in mechanical or materials engineering. Applicants must also have At least 22.5 ECTS credits in mathematics, 7.5 ECTS credits in programming or data processing, 7.5 ECTS credits in solid mechanics, 7.5 ECTS credits in materials engineering, At least 7.5 ECTS credits in production systems or mechanical design.
Remarks
IELTS/TOEFL/PTE is a mandatory requirement. TOEFL overall required score is 90 with no band less than 20 in Writing and PTE overall required score is 62 with no band less than 61 in writing. Students from Sri Lanka with an 'F' grade in English at GCE A-Level must provide an English test scorecard; IELTS/TOEFL waiver is not possible. Application Period for Aug. 2026 intake is 16th October 2025 - 15th January 2026.