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The fast-paced evolution of technology has expanded the potential uses for Operations Research and Analytics across various sectors. This program addresses industry demands by equipping students from diverse academic backgrounds with essential, hands-on skills to become adaptable professionals. Key subjects including machine learning, artificial intelligence, operations research, uncertainty optimization, financial statistics, and time series analysis are explored, demonstrating the discipline's real-world impact. While the PGDipORan concentrates solely on coursework, it also provides students with the necessary groundwork to advance into the research-oriented Master of Operations Research and Analytics program.
Taught 120 points
You must have completed an undergraduate degree in a relevant subject from a recognised university (or similar institution).
A relevant subject may be analytics, artificial intelligence, computer science, data science, economics, engineering, information systems, information technology, machine learning, management science, mathematics, operations research, operations and supply chain management, software engineering, structural engineering, electrical engineering, statistics or technology.
IELTS (Academic): Overall score of 6.5 and no bands less than 6.0.; Internet-based TOEFL (iBT): Overall score of 90 and written score of 21; Paper-based TOEFL: Overall score of 68 and a writing score of 21; Cambridge English: Advanced (CAE) or Cambridge English Proficiency (CPE): Overall score of 176 and no bands below 169; Pearson Test of English (PTE) Academic: Overall score of 58 and no PTE Communicative score below 50; Foundation Certificate in English for Academic Purposes (FCertEAP): Grade of B-; Michigan English Language Assessment Battery (MELAB): 85.