Business Analytics and Big Data MSc

12 Months On Campus Masters Program

University of Liverpool

Program Overview

The MSc in Business Analytics and Big Data is designed to turn your curiosity about data into real-world impact. If you love spotting patterns, solving problems, and making decisions based on insights, this program equips you with the tools and knowledge to do just that, blending technical analytics with practical business strategy.


Curriculum Structure

Getting Started:
In the early part of the program, you’ll dive into modules like Data Mining and Machine Learning, learning how to uncover patterns hidden in huge datasets. Digital Business Technology and Management introduces how businesses use technology to stay ahead, while Big Data Management teaches you how to handle and organise large-scale data effectively. This foundation sets you up with the skills you need to tackle real business challenges.

Digging Deeper:
Next, you’ll apply what you’ve learned in practical business settings. In Digital Strategy, you explore how businesses build and implement successful digital models. Big Data Analytics for Business gives you hands-on experience in turning complex data into actionable decisions. You can also choose optional modules like Enterprise Systems with SAP or AI Ethics and Governance, letting you focus on areas that interest you most.

Capstone Project:
Finally, you’ll bring everything together in a Business Simulation and Analysis project or a full MSc Project. This is your chance to tackle a real-world problem, showcase your skills, and demonstrate your ability to deliver data-driven insights that make a difference in a professional setting.


Focus areas:
Big data analytics, machine learning, digital business strategy, data management, enterprise systems, AI ethics.

Learning outcomes:
Graduate ready to collect, analyse, and interpret large datasets, apply advanced analytics tools, create digital strategies, and communicate insights clearly to influence business decisions.

Professional alignment (accreditation):
The program is part of the University of Liverpool Management School, which is internationally recognized with AACSB, AMBA, and EQUIS accreditations.

Reputation (employability rankings):
Being part of a Russell Group university, you benefit from strong industry connections, excellent career support, and a curriculum that matches the skills employers are looking for in data and analytics roles.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Liverpool, this program isn’t just about learning theory — it’s about doing. From day one, you’ll dive into real datasets, use industry-standard software, and solve practical business problems, so you gain the hands-on experience employers really look for. The Management School gives you access to dedicated computer labs, an SAP suite, and collaborative spaces, making it easy to work on team projects, run simulations, and explore data in a professional-style environment. Whether you’re on campus or working remotely, the university’s IT facilities ensure you can practice your skills anytime.

Here’s how experiential learning comes to life in this program:

  • Work with industry tools: Get hands-on experience using RStudio, Python, Qlik, SAP, and Witness for data analysis, simulation, and visualisation.

  • Specialised computer labs: Use dedicated computer suites and SAP facilities designed to mirror real-world analytics environments.

  • Real-world projects & simulations: Tackle business case studies and analytics challenges, turning data into actionable insights and strategic recommendations.

  • Teamwork & collaboration: Work in groups on applied tasks, reflecting how analytics professionals operate in the workplace.

  • Capstone project: Lead a Business Simulation and Analysis project or MSc Project, integrating everything you’ve learned to solve a substantial, industry-relevant problem.

  • Flexible tech access: With Apps Anywhere and campus PC centres, you can continue practising software skills anytime, anywhere.

Progression & Future Opportunities

Graduating from the MSc Business Analytics and Big Data opens doors to exciting, high-demand careers where you can turn data into real business impact. Many of our graduates go on to roles such as Business or Data Analyst, Lead Commercial Analyst, Business Solution Architect, or Reward Analyst, ready to solve complex problems and make strategic decisions in organisations across sectors:

Here’s how the programme helps you get there:

  • Tailored career support: The Management School provides a dedicated careers team to guide you through CV building, interview preparation, and personalised career planning.

  • University-wide employability services: Through the Career Studio and Careers & Employability team, you can explore opportunities, connect with employers, and access internships, placements, and graduate schemes.

  • Strong industry connections: Our graduates have secured roles at companies like Hampshire Bank Trust, Ericsson UK, and Amazon, giving you confidence that your skills are in demand.

  • Graduate outcomes & salary potential: Many alumni are employed within 15 months, with a median salary around £34,000, reflecting the strong value of your degree in the marketplace.

  • Global recognition: The Management School’s AACSB, AMBA and EQUIS triple accreditation adds long-term credibility to your qualification, highly valued by employers worldwide.

Further Academic Progression:
If you’re interested in continuing your studies, this MSc also provides a solid foundation for PhD research in fields such as data science, business analytics, or management. You’ll be well-prepared to take on advanced research projects, build expertise, and contribute to the next wave of innovation in analytics.

Program Key Stats

£32,000
£15,000
Sept Intake : 21st Aug


14 %

Eligibility Criteria

2.5

NA
NA
NA
6.5
88
2:2
NA
55
2

Additional Information & Requirements

Country Requirements

Career Options

  • Business/Data Analyst
  • PCB Engineer
  • Reward Analyst
  • Lead Commercial Analyst
  • Business Solution Architect
  • Data Engineer
  • Strategic Analyst
  • Digital Business Consultant
  • Analytics Consultant
  • Operations Analyst
  • Management Consultant
  • Technology Strategy Analyst
  • Data Visualisation Specialist
  • Business Intelligence Specialist
  • Decision Support Analyst

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