Embark on a journey into the dynamic realm of Prescriptive Analytics for Decision Optimisation, unravelling the intricacies of real-world business challenges. Cultivate a profound understanding of quantitative models for decision-making and solution techniques, applying industry-standard software such as Excel/OPL-CPLEX to address real-world complexities. Gain a unique blend of skills aligned with the UN SDGs, empowering you to deliver actionable recommendations that positively impact businesses, society, and the environment.
Equip yourself with the expertise to prescribe impactful solutions in the business landscape through Prescriptive Analytics for Decision Making. As you conclude this module, you'll emerge with the ability to strategically apply diverse optimization techniques, addressing real-world complexities. Empowered by this knowledge, you'll be poised to make informed decisions, drive positive change, and advance your career with a unique blend of analytical skills and a commitment to ethical, sustainable, and diverse decision-making.
Lecture 24, Seminar 16
Individual Written Assessment on Mathematical Modelling and Computation (2000 words) worth 40%.
Examination (2 hours) worth 60%.
Reassessment Method: 100% Examination – 2 hours
On successful completion of this module, students will be able to:
Critically evaluate how some complex real-world problems can be represented in mathematical form.
Independently apply model building, problem-solving and numerical skills to solve complex business/management/industry problems even where infomation or data are incomplete.
Implement thoroughly relevant models using industry-standard software and perform analyses to support business planning and management.
Independently analyse the outcome of a model, synthesise findings and present in a clear yet rigorous manner to business audiences.
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