Course summary
Course overview Big data is transforming business and companies need skilled professionals to harness its power. This course equips you with the tools and techniques to turn data into actionable insights that cut costs, drive efficiency, and boost profits. You’ll gain a strong balance of practical skills and analytical know-how, learning how to identify opportunities and apply big data solutions across real-world business challenges. No prior experience in business or analytics? No problem. This course is designed for ambitious learners from any background. With expert-led teaching and a guest lecture series from industry professionals, you’ll explore how business analysis shapes decision-making across sectors. Your dissertation gives you the chance to specialise, diving deep into a topic aligned with your career goals. Graduate ready for specialist roles in one of today’s most in-demand fields and start making data work for business. Features and benefits
- Career opportunities - This blend of AI expertise, business insight and practical skills prepares graduates to lead AI-driven innovation across industries. You'll be ready for roles such as digital transformation consultant, technology project manager or AI entrepreneur.
- AI application - Explore how AI transforms key areas such as project management, operations and service industries. Build expertise in developing and implementing AI solutions that generate actionable insights to support strategic business decisions.
- Ethical practices - Explore the ethical implications of AI, including issues related to data privacy, bias and transparency, ensuring you’re prepared to implement AI solutions that are not only effective but also ethically sound.
- Industry-standard tools - You’ll become adept at using industry-standard software and platforms for data analysis, business intelligence and AI development, preparing you to tackle real-world problems with confidence.
- Internationally recognised - The Business School is named in the QS World University Rankings 2024 for masters in business analytics. We achieved this position through demonstrating a level of excellence in employability, thought leadership and diversity.
- A city of opportunities - With global organisations, innovative start-ups and a thriving tech scene, Manchester offers a wealth of opportunities. Use our connections with employers to enhance your studies and grow your professional network.
Entry requirements
You will need a UK honours degree – at least a 2:2 – or the international equivalent. We will also welcome an application if you don’t have a degree, but you have the equivalent professional qualification or significant relevant management experience. This course is suitable for students with a variety of academic and professional backgrounds. It aims to equip those who wish to pursue a managerial career with the required skills to understand and apply knowledge and understanding of business analytics. However, it should be noted that applicants are not expected to possess any significant technical skills when applying for this course.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
For further information: https://www.mmu.ac.uk/study/postgraduate
Provider information
Manchester Metropolitan University
All Saints Building
All Saints
Manchester
M15 6BH