MSc Business and Data Analytics

1 Year On Campus Masters Program

Ravensbourne University London

Program Overview

The MSc Business and Data Analytics at Ravensbourne is perfect if you want to turn raw data into smart business decisions. You’ll gain hands-on skills in data analytics, AI, and business strategy, preparing you to tackle real-world challenges in a variety of industries.

Curriculum Structure

At the start, you’ll dive into Data Science Concepts and Business Strategy and Digital Transformation, learning how to handle data effectively and understand how it drives decisions in the digital world.
Next, Big Data and Cloud Technologies introduces you to large-scale data systems, while Research Methods for Business and Data Analytics teaches you how to structure and carry out data-driven research ethically.
Later, Information Technology Governance and Project Management equips you to plan and manage data projects successfully, and Artificial Intelligence and Machine Learning for Data Analysis shows you how to extract predictions and insights from complex datasets.
Finally, your Final Project lets you bring everything together, solving a real (or simulated) business problem using the skills you’ve developed.

Focus areas: “Data science & analytics, Big data & cloud computing, Business strategy & digital transformation, AI & machine learning, Research & data governance, Project management, Data‑driven decision‑making”

Learning outcomes: “Analyse and interpret complex data, use big data and cloud technologies, design and manage data-driven strategies, apply AI/ML for predictions, govern data responsibly, deliver actionable business insights through research and projects.”

Professional alignment (accreditation): Chartered Management Institute (CMI) accreditation gives your qualification extra professional credibility.

Reputation (employability): Ravensbourne’s strong industry connections with companies like Apple, BBC, and Samsung give graduates excellent employability, especially in finance, marketing, creative media, e-commerce, and more.

Experiential Learning (Research, Projects, Internships etc.)

At Ravensbourne, the MSc Business and Data Analytics is all about learning by doing. You won’t just study theory — you’ll work on real projects, handle actual datasets, and use industry-standard tools to turn insights into business solutions. The university’s postgraduate hub and creative-tech environment give you the space to collaborate, experiment, and develop skills you can take straight into the workplace. From the moment you start, you’ll be applying what you learn in practical ways, supported by top-notch facilities and software.

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

Work in a dedicated postgraduate hub/studio space, designed for collaboration across different disciplines, so you get to bounce ideas off students from creative, business, and tech backgrounds.
Access industry-standard software and IT infrastructure, including tools from Adobe, Microsoft, Apple, and Autodesk, to practice analytics, visualization, and cloud computing.
Benefit from digital studios, prototyping labs, and production facilities, giving you hands-on experience in cutting-edge environments even if your focus is data analytics.
Complete a capstone/final project, where you’ll tackle a real or simulated business challenge and produce tangible, portfolio-ready work.
Engage in project-based learning that applies AI, machine learning, and big data techniques to complex business scenarios, combining creativity with analytical thinking.

Progression & Future Opportunities

Graduating from the MSc Business and Data Analytics at Ravensbourne opens the door to a wide range of exciting careers. Many of our students step straight into roles like Data Analyst, Business Intelligence Consultant, Data Scientist, or Analytics / Strategy Consultant, helping companies turn raw data into smart, actionable decisions. Because you’ll combine technical analytics skills with business strategy, you’ll be ready to make an impact in industries like marketing, finance, media, e‑commerce, or the creative sector.

Some roles you might aim for include:

Data Analyst / Business Intelligence Analyst
Data Scientist / Machine Learning Specialist
Business Analytics or Strategy Consultant
Digital / Business Transformation Analyst

And as you gain experience, you could move into senior analytics, data strategy, or leadership positions — bridging the gap between data insights and business decision-making.

Here’s how Ravensbourne supports you along the way:

Dedicated career support: The Careers and Industry Liaison Team helps you with CVs, interviews, networking events, and job opportunities, and continues to support you even after graduation.
Job portal access: Through the Ravensbourne Job Service, you’ll find tailored listings for internships, part-time, and full-time roles — giving you early exposure to industry opportunities.
Strong graduate outcomes: Around 90 % of Ravensbourne graduates are in employment or further study within 15 months, with many securing highly skilled roles.
Industry connections: Ravensbourne works closely with companies like Apple, BBC, and Samsung, giving you opportunities for real projects, internships, and professional networking.
Accreditation advantage: The MSc is accredited by the Chartered Management Institute (CMI), adding professional credibility and enhancing your employability.

Further Academic Progression:
If you want to continue your studies, this MSc lays the foundation for a PhD in Data Science, Business Analytics, or a related field. You could also pursue specialised certifications in machine learning, big data, or data governance, or explore additional master’s degrees in areas like strategic management, business intelligence, or digital transformation — building on Ravensbourne’s unique combination of business, technology, and creative expertise.