Find out more about studying MSc Business Analytics at Manchester Metropolitan University? We've gathered all the key details, entry requirements, modules, fees, and more. Take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
Manchester Metropolitan University
Full Time
Jan 2028
1 Year
Big data is big business. As technology becomes more sophisticated, the power to harness information becomes more valuable. To keep up with competition and progress, businesses need graduates who can harness the power of big data, spot new opportunities and efficiencies. This course gives you the ability to understand the applications, identify the opportunities and master the tools that turn business analytics into business impact. You’ll cover a balance of techniques and practical skills, learning how big data can deliver the kind of insights that can cut costs, deliver efficiency and boost profits. There are a range of option units on offer, while your dissertation will offer you the chance to dive deep into a topic that interests you, so you’ll find plenty of opportunities to tailor your studies around your ambitions. While it’s a specialist field at the forefront of analytics, you don’t need advanced technical skills or a degree in business intelligence or analytics to join us. You can enrol with no prior knowledge of business or management, and develop the expertise needed for specialist roles in this rewarding field. To explore the sector, you’ll get valuable insights into the important role business analysis plays in modern organisations through our guest lecture series. We invite experienced and active professionals from different areas of the industry to give you an idea of the potential career paths available to you when you graduate.
This unit explains what AI is and explores machine learning ? the main driver of AI applications. Some simple machine learning algorithms and their implementation are considered to give a deeper insight into the machine learning process. The unit explores current and future applications of machine learning in business environments, with a wide range of examples.
Business statistics and data modelling are the core elements of business analytics. The overarching theme of the unit will be to explore how various statistical and modelling techniques can aid business decision-making. The unit will equip students with skills and knowledge relating to the handling and analysis of data typically generated by organisations around the globe. Consideration will also be given to the factors driving adoption and on-going usage of management information derived from statistical analysis. The unit is based around Microsoft Excel, a go-to data handling and analysis tool for analytics professionals worldwide. Students will be introduced to the concept of self-service business intelligence and what impact this will have on their future career path. Students will receive a firm grounding in the most widely utilised statistical techniques in modern organisations.
Data is considered to be the "new oil" in today?s digital world. This unit examines the nature of data and introduces students to current methods as well as new models used to effectively and safely maintain and manage the various types of data. You will receive the awareness and skills necessary to optimise storage and use of data resources for both operational and strategic purposes.
Data ?description? is the most important element of business analytics. Effective communication of the mass of information available to modern organisations is key in the support of both tactical and strategic decision making processes. The unit will introduce you to state of the art software that aids the visualisation, investigation and sharing of large and complex data sets.
The aim of this unit is to develop the strategic thinking and leadership skills required of students for managing the strategic contribution of digital technologies to organisational success and transformation. The unit focuses on business transformation and addresses several key areas, including: Strategic Planning, Business Leadership, Change Management, Organisational Learning and Knowledge Management, Entrepreneurship and Innovation. Digital business transformation is a highly contemporary subject in the business world, and the subject of many high profile consultancy projects in digital transformation. Developing effective leaders in this area, who understand the complex interplay between technological, operational and business drivers in supporting digital transformation projects is crucial.
The unit provides you with the opportunity to read extensively and apply research and analytical skills to a chosen area of study. The unit also provides an option for undertaking a consulting project with industry partners. You will produce a 15,000 word dissertation that identifies and investigates a specific question(s) in an area appropriate to their degree discipline over a sustained period.
This unit introduces you to contemporary developments in the field of technological advancements and societal development driven by the Fourth Industrial Revolution, or Industry 4.0. It reviews the disruptive and transformative technologies, which are underpinning Industry 4.0 and are currently changing and developing new socio-economic, political and societal models. Industry 4.0 is global in nature, and increasingly impacts all levels of society, requiring of us to adopt new paradigms for shaping, and harnessing this inevitable transformation.
The unit is to introduce you to the area of Strategic Information Systems used in organisations. The aim is to understand the nature of problems and issues faced by organisations at the operational and strategic level, and examine how Information Systems and Information Technology can help to overcome such issues.
Manchester is a vibrant, dynamic city full of culture and opportunity. At Manchester Metropolitan University (Manchester...
