Why Enrol For The Business Analytics Programme?
This programme is designed for managers across different functions who are interested in implementing analytics projects at their organisation. It provides business managers with the techniques needed to transform their organisation into a data-driven organisation. The assignments and cases in the programme focus on interpreting the results of analysis and taking decisions based on these analyses. The programme will also include a demonstration of some advanced analytics tools such as TensorFlow. The programme does not require coding.
- Module 1: Decision Biases
- Module 2: Descriptive Analytics
- Module 3: Big Data Opportunities
- Module 4: Experimentation
- Module 5: Predictive Analytics I: Machine Learning
- Module 6: Predictive Analytics II: Neural Networks
- Module 7: Prescriptive Analytics I
- Module 8: Prescriptive Analytics II: Behavioural Economics Biases
- Module 9: Ethics/Legal and Organisational Issues
Identify the types of biases in a decision-making process and learn how to ask for the right information
Be able to collect, clean, and describe the data you have, including the summary statistics
Big Data Opportunities
Identify what big data means to you and what you can do with it
Design experiments to gather meaningful data to make data-driven decisions
Use machine learning tools/models, identify neural networks, and analyse data to optimize decisions for your business
Organisational, Ethical and Legal Issues
Identify organisational issues that you will need to consider when making decisions; identify the legal and ethical issues behind the gathering, storing, and using data
Dr Nektarios (Aris) Oraiopoulos
University Lecturer in Operations Management
Director of the MPhil in Strategy, Marketing & Operations Programme
PhD (Georgia Institute of Technology), BEng (National Technical University of Athens)
Dr Oraiopoulos earned his PhD from Georgia Institute of Technology. His research is focused on understanding how organisations make high-stakes decisions, such as whether to invest in a new project, when to terminate a project that is not performing well, what data they can leverage to become more innovative, and what organisational structures they should put in place to empower a sound decision-making process. He has worked with organisations across various industries and sectors, including AstraZeneca, British Telecom, HSBC, Johnson & Johnson, and the Abu Dhabi Police Force.
Academic Director of the Psychometrics Centre
BSc, MSc, PhD (University of Nottingham)
David studies the links between big data and psychology; his research with 6 million social media users found that the computer can predict a user’s personality as accurately as their spouse can. Follow up research found that personalizing an advert to the recipient’s psychology is more effective than generic ads.
This line of research suddenly became very topical in 2018 with the revelations of an American company’s use of social media data for political marketing in the 2016 American presidential elections. Subsequently, in 2018 and 2019, David presented at the European Parliament and to the European Data Protection Supervisor on the topic of data use in marketing, and his research has been cited in numerous data protection policy reports by governments worldwide
David has also published research using various big data sources to show that spending money on products and services that match one’s personality leads to greater life satisfaction, that people tend to date others who have a similar personality, and that people who swear seem to be more honest. David is currently pursuing research with companies’ internal data for People Analytics.
Upon successful completion of the programme, participants will be awarded a digital certificate of completion by Cambridge Judge Business School Executive Education.
About the School
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