A successful student will gain and be able to demonstrate:
Readiness for the digital industrial revolution (Industry 4.0) and are readily employable.
Bridging the gap in the industry that exists between Engineers who understand the physical systems and Data Scientists.
Meeting the needs of the local industry and to enable the local work force to upskill and/or reskill so that they can make better decisions by analysing data for better business and technological decisions.
Appropriate transferable and practical skills in computer programming, data collection and analysis, problem formulation and solving skills, project management and communication skills.
Collaboration with fellow students via dissertation from other domains so as to carry out large inter-disciplinary projects by integrating individual components/modules. Scholarships - View all scholarships Internships
Duration: 1 Year(s)Fees: Not available
Intake | Location |
---|---|
Spring (January), 2024 | Singapore |
Autumn (September), 2024 | Singapore |
Spring (January), 2025 | Singapore |
Autumn (September), 2025 | Singapore |
Spring (January), 2026 | Singapore |
Autumn (September), 2026 | Singapore |
Spring (January), 2027 | Singapore |
Diploma in Engineering (all disciplines) / Science (Mathematics, Statistics or Physics) / Business Analytics (Data Analytics) with at least 8 years of experience in the industry in addition to being at least 30 years old
Students should demonstrate that they have some computer programming experience either in terms of a module that they studied, or knowledge obtained via their hands-on experiences in their job.
English Language Entry Requirements : IELTS overall 6.5 or equivalent
TOEFL IBT: score of 90 with a minimum of
Reading - 18
Writing - 17
Listening - 17
Speaking - 20
Pearson Test of English Academic: Score of 62 with a minimum sub-score of 59
6.5
Overall IELTS band score
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TOEFL Internet based overall score: 90.0
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