This module gives an introduction to the landscape of big data and digitalization. There is extensive background reading with accompanying tasks. Students will be given training on how to write management-style reports on the topics and demonstrate critical thinking.
In this module basic financial and accounting principles will be taught along with an exploration of how digitalization impacts both the collection and presentation of data and employment patterns in the industry.
The aim of this module is to present the processes and procedures used in business analytics when it comes to intelligence and actionable insights. This will be seen to apply to sectors ranging from education to consumer goods.
This module is about how leaders need to take into account the impact of big data and trends in digitalization when making business decisions. An important part of this module concerns ethics. Ethical questions are implicit in technological advances and need to be discussed so as to ensure that informed and balanced decisions are made.
Artificial intelligence is built on big data and this module will provide examples and case studies of the fields where advances are currently being made. How does AI work? What can it do? Will it take us over? What are its limitations? These questions will be addressed in a lively way.
Big data flows continuously across the internet of things. All products are governed by big data. Whether they are industrial robots, household appliances, or autonomous vehicles, big data flows through them in some way. This module will be devoted to a study of how these flows work in practice and how they are used to develop and optimize processes.
This module offers a chance to learn about how blockchain is used to revolutionize contracts and documents, along with its role in identity security. Cryptocurrencies, for which Blockchain provides the basic technology, will also be covered.
Marketing today means digital marketing. This module will give a practical insight as to digital marketing techniques and how they draw extensively on big data such as text and metadata.
Crime is increasingly conducted online, and so cyber security is important to every person and every organization. This module will deal with issues such as identity theft, fraud (large scale and small scale), and network and systems security and their consequences. In every organization, managers need to be able to deal with these issues.
Big data in healthcare includes drug discovery based on large datasets. AI is speeding up the process from discovery to the clinic. But that is not all. Patient records are digitalized and held in databases: this raises questions of access and ethics. In addition, medicine is being delivered remotely. This module includes all of these aspects essential for any manager coming into contact with the large and growing healthcare industry.
The revolution in financial technology is powered by big data and digitalization. New disruptors are entering the payments system ecosphere and challenging established banks. New applications make the processing of backend data faster and more efficient. This module lays out the areas where fintech is creating a new frontier in the movement and processing of funds across the world.
In the final project, students form groups to focus on one topic of interest. The course will conclude with project presentations and reports open to all as a vehicle of peer-group learning.
Join our Online Open Day!
You should expect 4.5 hours per module (1.5 hours per week), so 45 hours in total.
The lectures will be synchronous, but they will be recorded and put in the learning platform for you to access at any time during the studies. This will include the Q&A sessions.
The successful completion and award of the MBA degree will depend on:
To follow the course, you will need free access to the internet. Please check if your country has no restrictions to cloud services, especially using such platforms as Blackboard and Cisco Webex.