100% Online MSc Data Analytics

Module Descriptions

In this section

There are no average courses within our MSc programme. We are bound to provide an exceptional learning experience, and there is no better way to achieve this aim than with outstanding courses. They have been carefully crafted by experienced professors and are all meant to make you a more successful and efficient manager.

There are no old-fashioned exams. Instead you are given real-life case studies and essays, which allow you to think critically about your company and your own career. All this might seem too glossy but there is one catch: we do not accept average candidates. Only individuals as outstanding as our values can find their way toward admission at the Robert Kennedy College.

Induction

Not-for-credit module

A not-for-credit induction module will be the starting point of the programme. The induction process is designed to familiarise you with the programme design, requirements and resources, as well as with the way online interaction, learning and grading will take place. After the induction you should be familiar with academic life, including academic writing, library services and library access, OnlineCampus access, and academic support services.

Information Management

This module enables you to develop a conceptual and comprehensive understanding of the manager's role in relation to the leading of the effective management and use of information, information technology and information systems and to apply these within both organisational and strategic contexts.

Digital Marketing

The primary aim of this module is to provide the student with a deep understanding of the issues facing digital marketing managers, by examining the strategically significant issues facing e-commerce such as environment and online marketplace, consumer behaviour and digital influence. The aim is to actively develop students’ knowledge of key marketing and digital marketing theories and apply this knowledge to strategic issues based on current research and industry practice, and facilitate the effective strategic decision making of a digital marketing professional.

Advanced Databases

The aim of this module is to critically explore the range of concepts and functions of database systems and data management, the fundamental concepts and essentials of the mechanisms that are used in both high-performance transaction processing systems (OLTP) and large-scale analytical systems (OLAP), evaluating both efficiency and correctness of the applications of these designs.

Data Analytics

The aim of this module is to critically explore the range of concepts and functions of data analytics, including preparing and operating with data; abstracting and modelling an analytic question; and using tools from statistics, learning and mining to address these questions, evaluating the techniques dealing with how to go from raw data to a greater understanding of the patterns and structures within the data, to provision making predictions and decision making.

Artificial Intelligence

The aim of this module is to critically explore the range of concepts and functions of artificial intelligence in order to help develop a solid understanding of the guiding principles of AI, evaluating how the concepts of machine learning can be applied to real life business problems and applications.

Corporate Strategy and Competitiveness

Elective module - Residential (in Zurich, Switzerland)

This module aims to introduce students to the importance of competitiveness to firms, regions and countries, as a means of improving wealth. Students will learn how to use various models for strategy development for institutions, and tools for improving their competitiveness, applying theories developed by Professor Michael E. Porter at Harvard Business School.

Internet of Things

IoT, short for Internet of Things, is the ever-growing network of objects that use their data transmission capabilities to communicate with other devices over the Internet. This promises to create new business models, improve business processes and reduce costs and risks. The aim of this module is to critically explore the range of concepts and functions employed by IoT technologies while evaluating the efficiency and correctness of the applications of such designs.

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