Course overview
This course equips you with in-demand skills including data analysis, data mining, machine learning, database management, ethics, data privacy, critical thinking, and problem solving – all vital to succeed in a global market.
You gain a comprehensive understanding of technical, analytical and business skills to prepare you for careers in data-driven decision-making roles.
You are encouraged to question and challenge existing traditions through creative study, exploring and interrogating the theoretical and practical methods at the forefront of business intelligence and analytics. You develop an increasingly specialist understanding of decision-making through critical research and communication skills.
* Subject to University approval
Course details
Course structure
Core modules
Big Data and Business Analytics
Develop your ability to design and implement databases, big data and analytics applications to meet business needs. Use case studies to follow the system development life cycle, developing a plausible application, from inception to implementation for a real-world scenario. Investigate the issues and technologies associated with implementing and supporting large-scale databases, and the services needed to maintain and access a data repository. Focus on big data, data warehouses, legacy data integration, data management, and approaches supporting the modelling and visualisation of data for various uses.
Develop a piece of work that brings together key elements of your learning. Demonstrate the knowledge you have acquired, an understanding of practice and its application in a professional context.
You choose the unique composition, content and context of your project, demonstrating reflective practice with a commitment to continual learning and development.
Gain a deep understanding of real-world organisational challenges and how to develop effective solutions. Become a proficient planner who can execute in-depth research in business and management. Through a blend of quantitative and qualitative data analysis techniques, you dissect data to propose standardised solutions to intricate industrial issues, and finish with a professional report presentation.
Data Analytics and Decision-making
Decision-making involves selecting a course of action from multiple alternatives, and can impact individual and organisational performance. Business intelligence tools provide managers and leaders with detailed information about an organisation’s current, past, and sometimes future, state to facilitate faster business decision-making. You are introduced to the techniques available for analysing large datasets and interpreting patterns and trends, so you can extract meaningful insights that aid effective decision-making.
Global strategy: Challenges and Choices
As the global business environment becomes ever more complex and volatile, there is a need for organisations of all shapes and sizes to think and act more entrepreneurially, innovatively and creatively in order to be able to change and adapt. This interdisciplinary module provides you with an understanding of the internal and external factors that impact strategic decision-making. You are introduced to a variety of strategic theories, tools and concepts, all in the context of the external environment and its impact on strategic challenges and choices. You are exposed to a variety of academic and practical material that you apply to your own organisation, or a live-case organisation, in order to appreciate the importance of developing and implementing innovative strategic plans for the success of the organisation, its key stakeholders and society more broadly.
Modules offered may vary.
How you learn
This course prepares you for success in the global workplace. You become research-active, future-ready, globally connected, socially and ethically engaged, and digitally empowered. Project-based learning is core, drawing directly on industry projects, real-world scenarios, and access to work experience opportunities and global initiatives. Modules are delivered face-to-face, with high-quality online materials available throughout. The classroom is a core learning environment, but you also learn in environments such as workplaces, partner organisations and international partner sites where possible.
How you are assessed
You are assessed through business reports, case study analyses, presentations, self-diagnostic assessments, a research proposal and a dissertation.
Entry requirements
The normal entry requirement is a 2:2 degree from an appropriate discipline.
For EU and international students, an IELTS score (or equivalent) of 6.
For general information please see our overview of entry requirements
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Useful information
Visit our international pages for useful information for non-UK students and applicants.