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Description
Most challenges that companies/organisations face today are too complex to rely on just intuition to resolve. The recent explosion of digital data provides increasingly more opportunities for organisations to make data-driven decisions. Business analytics is the intersection of business, statistics, and technology, offering new opportunities for a competitive advantage. It unlocks the predictive potential of data analysis to improve operational efficiency, strategic management, and financial performance. It is vital in preparing organisations to solve 21st-century business challenges, and participants of this module will have exposure to powerful and innovative concepts, methodologies, and tools that support scientific and data-driven decision making.
Specifically, this 10-week module aims to foster analytical and statistical thinking in business and management so that students are able to make informed decisions under uncertainty in real business settings. Students are trained to understand the need for data, the importance of data production, the omnipresence of variability, and the quantification and explanation of variability.
This course is intended for students with minimal quantitative preparations. It is designed mainly to be applied and practical. Hands-on experience using Excel is emphasized throughout the module.
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Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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