Program Overview

Introduction to the MSc Business Analytics Programme

The MSc Business Analytics programme at Aston University London offers a dynamic blend of cutting-edge analytical skills and real-world business insights, tailored to thrive in today's data-driven world. By being based in London, students will be part of a vibrant cosmopolitan city and community, renowned for its diverse skills, cultures, beliefs, and wealth of knowledge.

Course Overview

This programme is ideal for those wanting to master the art of interpreting and leveraging vast data sets to improve business performance. Students will focus on essential areas like descriptive analytics, statistical modelling, data mining, and visualisation, blending academic rigour with practical skills in data analysis. The programme enables students to tailor their studies to suit their own requirements and interests, with a flexible choice of innovative content.

Why Choose Aston University London?

Aston Business School is proud to be among 1% of business schools worldwide with triple accreditation. It is ranked joint 11th in the UK (Eduniversal Business School Rankings 2024) and 2nd in the UK (Data Analytics; Eduniversal Best Masters Rankings, 2025). The school offers a vibrant, multicultural, welcoming environment, with students spending their years in one of the world's most cosmopolitan and fashionable cities.

Course Objectives

The programme objectives include:

• Meeting the needs of local, national, and international candidates
• Developing lifelong learning and personal development skills
• Enabling students to reflect upon and develop their own position in relation to corporate responsibility, sustainability, and ethics
• Developing awareness of skills needed to work effectively in cross-cultural and interdisciplinary teams
• Developing analytical skills essential for the analysis and presentation of business data

Modules

The programme consists of the following modules:

Taught Stage

• Fundamentals of Digital Technologies (15 credits): Building mathematical and programming foundations for computer science, data science, and AI
• Decision Models (15 credits): Formulating and using mathematical and spreadsheet models to support rational decision-making
• Descriptive Analytics (15 credits): Using data storytelling, visualisation, and descriptive statistics to explore and communicate business insights
• Predictive Analytics (15 credits): Developing practical skills in data mining, visualisation, and statistical modelling
• Machine Learning for Business Analytics (15 credits): Applying machine learning methods to analyse and forecast business data
• Strategic Management (15 credits): Developing skills to think and act strategically
• Interdisciplinary Collaborative Project (30 credits): Working in multi-disciplinary teams to tackle real-world client challenges

Dissertation Stage

• Industry Research with an Entrepreneurial Mindset (15 credits): Identifying and addressing real-world challenges with creativity and critical thinking
• Independent Industry Project (45 credits): Undertaking an independent research project addressing a contemporary business issue

Programme Outcomes

On successful completion of the programme, students will be able to:

• Promote social responsibility, sustainability, accountability, and ethical practice in business
• Critically evaluate complex situations
• Demonstrate a range of transferable skills necessary for a successful career in business
• Demonstrate the ability to undertake independent research with an applied business focus
• Apply fundamental mathematical concepts to tackle real-world challenges
• Demonstrate knowledge and understanding of business analytics and their relevance in an organisational context

Entry Requirements

• A 2:2 (lower second-class honours) degree or equivalent
• Equivalent overseas degree recognised by Aston University
• Additional requirements, including quantitative modules at bachelor's level
• A professional reference and official academic transcript

Fees and Scholarships

• UK students (2025/26): È12,000 annual tuition fees
• International students (2025/26): È23,500 annual tuition fees
• Scholarships available to support talented and hardworking students

Assessment

The programme will be assessed through a combination of class tests, individual and group coursework, projects, presentations, and practical assessments. There are no exam assessments.

Career Prospects

Graduates will be sought after for roles such as business analyst, business intelligence analyst, strategy analyst, operations analyst, and credit risk analyst. The programme provides transferable skills, making graduates successful in finding employment in a wide range of roles.