Turn data insight into strategy
Our Online MBA in Data Analytics is a 180-credit full masters degree, which can be completed in either 1.5 or 2.5 years. Students study 14 modules (10 credits each), plus a research project module (40 credits).
The course has been designed to help you understand how data can be used to inform business strategy and help fuel business success.
Core Modules
Responsible Leadership
The purpose of this module is to allow students to develop the insights, capacities and skills to create and maintain responsible and sustainable business practices.
Learn moreThe Values-Led Organisation
This module will help you to critically understand and evaluate the ethical responsibilities and sustainability dimensions of business practices.
Learn moreGlobal Marketing Management
This module will enable students to reflect critically on the nature of marketing and its continuing relevance to the 21st-Century global business world.
Learn moreOperations Management
This will help you to develop a wider understanding of operations management regarding characteristics, performance and strategy.
Learn moreOrganisations and People Management
This module draws upon insights from organisational behaviour (OB) to develop knowledge, insights and skills relevant to the management of people in organisations.
Learn moreFinancial Management
This module is designed to critically evaluate internal and external financial information and to use this to appraise corporate performance and strategy.
Learn moreBusiness Information and Decision Making
The Business Information and Decision-making module introduces learners to the nature of data and information within and externally to organisations, and how information informs operational and strategic decision-making.
Learn moreStrategic Change Management
The extent, pace, and often the scale of changes with which businesses have to cope, have grown significantly over recent years. Anticipating and responding to change with appropriate initiatives is a major challenge of modern management.
Learn moreGlobal Business Simulation
The Global Business Simulation is an immersive, intensive and investigative experience in which you will work with a team of classmates/colleagues to run your own business, in competition with other teams, over several weeks.
Learn moreBusiness Research Project
The purpose of this module is to equip students with a theoretical grounding in research methods and its practical application.
Learn moreProfessional and Leadership Development
The Professional and Leadership Development module (PLD) comprises a series of personal and professional post-experience workshops and activities which run alongside but are connected to the academically assessed curriculum.
Learn moreData Analytics modules
Statistical Approaches to Data Analysis
The aim of this module is to provide students with an introduction to the statistical principles and statistical methods required for the analysis of large datasets.
Learn moreFundamentals of Big Data and its Infrastructure
This module introduces you to the processes, techniques and technologies businesses use to develop their infrastructure so that they are able to manage big data and transform it into useful business intelligence.
Learn morePractical Machine Learning Methods for Data Mining
The digital revolution has made data easy to capture digitally and inexpensive to store. The rate at which data is being stored is growing at a phenomenal rate with databases typically doubling in size every 20 months. As a result, many businesses are struggling to analyse and make sense of this vast collection of data.
Learn moreDeriving Business Value from Data Science
This module moves you beyond the hype of big data and introduces you to a number of methods and techniques that enable businesses to identify the most strategically important data.
Learn more
Start your journey today
To find out more about NTU’s online MBA in Data Analytics, complete our online form or call the admissions office on 0800 032 1180 (UK) or +44 (0)115 941 8419 (International).