Curious about studying Business Analytics MScat Aston University, Birmingham? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
Main Campus
Full Time
Sep 2027
1 Year
Studied in-person at our campus in the heart of Birmingham, our MSc Business Analytics programme is tailored for those eager to master the art of interpreting and leveraging vast data sets to improve business performance.It focuses on essential areas like descriptive analytics, statistical modelling, data mining and visualisation, blending academic rigor with practical skills in data analysis. This course, attracting a diverse international student body, not only enhances your analytical capabilities but also develops your communication, teamwork, and cross-cultural management skills. You will be equipped to transform complex data into strategic insights, preparing you for a pivotal role in any data-driven business environment.Accredited by the Institute of Analytics (IoA), this course offers you enhanced employability, IoA membership benefits, and fast-track professional advancement opportunities.
The module will introduce you to modern tools and technologies for data analytics, including programming languages such as Python, R, and SQL, thus equipping you with critical competencies required for a successful career in business analytics. You will learn various data analysis libraries within these languages to apply different types of data analysis, providing them skills for driving actionable insights for business problems. There will also be opportunities for you to develop these skills further in other modules on the programme, where these technologies will be used for the delivery of practical sessions and lab demonstrations. The programming skills taught in this module are essential for data-related roles, including business analytics specialists.
This module will focus on turning real-world problems into mathematical and spreadsheet models and examine how you can use models to help rational decision making in organisations. You’ll develop a deep knowledge and understanding of the main modelling concepts and you will be able to quickly identify problems and situations in business where the use of those models can be beneficial.
We will introduce you to visualisation techniques used to display and summarise information. You will look at descriptive statistics that can be used to extract meaningful information from data. This module will give you the skills and practise in using appropriate statistical techniques when completing business reports and communicating data analysis to the organisation management team.
This module will help you to understand different approaches to consulting projects. You’ll explore what is good and what is bad consulting practise. It will also prepare to you to carry out successful consulting projects within organisations either as an external consultant or as a line manager given a one-off problem-solving task.
The Aston Global Advantage is our professional development programme that runs throughout all MSc programmes at Aston Business School. Focusing on professional development and employability, this integrated module gives you the opportunity to identify, develop and apply the key transferrable skills you will gain throughout the year.
This modules introduces you to essential concepts of data analysis, including data types, visualisation techniques, data-preprocessing and dashboard design. You will explore some statistical learning methods from high level perspective, gaining hands-on experience with real-world datasets. Through practical exercises and projects, learners develop critical skills for analysing and interpreting data, making data-driven decisions, and designing compelling visualisations.
This module will focus on turning real-world problems into mathematical and spreadsheet models and examine how you can use models to help rational decision making in organisations. You’ll develop a deep knowledge and understanding of the main modelling concepts and you will be able to quickly identify problems and situations in business where the use of those models can be beneficial.
This module will focus on turning real-world problems into mathematical and spreadsheet models and examine how you can use models to help rational decision making in organisations. You’ll develop a deep knowledge and understanding of the main modelling concepts and you will be able to quickly identify problems and situations in business where the use of those models can be beneficial.
The rapid growth of digital media has significantly transformed how businesses connect, engage, interact, and build relationships with consumers. This module examines digital marketing's opportunities and challenges from theoretical and practical perspectives. It explores how digital media transforms business-consumer interactions and provides a critical understanding of integrating digital media into broader marketing and business strategies. Emphasising both theory and hands-on learning, the module covers key concepts and practices related to digital marketing. The module will equip you with the tools to assess and refine marketing strategies. You will apply and analyse the impact of developing a digital and interactive marketing strategy for a business.
This module aims to combine the challenge of learning the theory of simulation modelling, with collecting data in an external organisation using simulation modelling software and group work to meet a deadline for the presentation of results. This skillset is useful as simulation is used in many organisations and consultancy units to provide descriptive predictive and prescriptive analytics.
The module is concerned with machine learning techniques, such as decision trees, support vector machines and neural networks, and their applications to business problems such as fraud detection, price optimisation, risk analysis, customer relations management, customer churn prediction, sales forecasting, customer and market segmentation. On completing the module, you will gain both theoretical insights and practical experience in these topics. With the advent of big data technologies, machine learning finds increasingly wide applications in different industry settings, and there is a strong demand of this expertise on the job market, which this module aims to address.
This module will focus on turning real-world problems into mathematical and spreadsheet models and examine how you can use models to help rational decision making in organisations. You’ll develop a deep knowledge and understanding of the main modelling concepts and you will be able to quickly identify problems and situations in business where the use of those models can be beneficial.
This module will focus on turning real-world problems into mathematical and spreadsheet models and examine how you can use models to help rational decision making in organisations. You’ll develop a deep knowledge and understanding of the main modelling concepts and you will be able to quickly identify problems and situations in business where the use of those models can be beneficial.
This module will focus on turning real-world problems into mathematical and spreadsheet models and examine how you can use models to help rational decision making in organisations. You’ll develop a deep knowledge and understanding of the main modelling concepts and you will be able to quickly identify problems and situations in business where the use of those models can be beneficial.
This module will focus on turning real-world problems into mathematical and spreadsheet models and examine how you can use models to help rational decision making in organisations. You’ll develop a deep knowledge and understanding of the main modelling concepts and you will be able to quickly identify problems and situations in business where the use of those models can be beneficial.
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