Learn to excel in the dynamic intersection between business context, data science and machine learning.
Experience a rigorous and integrated curriculum in analytics and management. The MAM builds on our proven strength in Early Careers management education, preparing you to deliver maximum business impact.
Develop a substantial analytics and programming toolkit using tools like SQL and Tableau, and languages like Python and R. Learn how to create and launch an App. Build your awareness of the latest technologies, including big data, blockchain, AI, cybersecurity and mobile payments, and understand how to manage assets in the Cloud. Throughout, you’ll strengthen your team skills and sharpen your ability to translate and communicate data into keen business insights.
Get up to speed before you start the programme. Digital pre-courses in accounting, finance, statistics and Excel will provide a comprehensive preparation in key subjects, while our foundation week and orientation days are a great way to meet fellow Early Careers students. Take part in an exciting range of skills and career activities, meet your study group and enjoy an outdoor activity away day.
The core curriculum for the MAM is designed into two fully integrated learning threads: analytics/data science and general management. Applied project work and team assignments will boost your proficiency and provide real-world opportunities to practice your skills.
Gain all the knowledge you need to successfully manage, communicate and deliver data projects, including business understanding, data understanding, modelling, evaluation and deployment. Rigorous and intense, your analytics core is underpinned by a substantial programming and database curriculum. It covers essential languages and software like Python, R and Excel and is delivered by expert practitioners to ensure you graduate fully career-ready.
Expand your network whilst learning alongside students from different LBS degree programmes. Electives are a unique opportunity to customise your degree to your own requirements. Choose three from a wide range of subject areas, including courses like Elements of Machine Learning for Business, New Technology Ventures, Managing a Digital Organisation, Fin Tech and World Economy: Problems and Prospects.
We make sure you hit the ground running, right from your first post-MAM role. Taught by leading practitioners and experienced PhD students, state-of-the-art training in essential programming skills like R and Python is complemented by classes in Excel and a range of other data management and data visualisation software. Exploring the models and methods of data mining and analytics, you’ll learn by putting theory into practice. And to make sure you have the broad toolkit of interpersonal capabilities recruiters demand, you’ll enjoy a strong focus on teamwork and communication skills.
Faculty-led, our immersive field trips take you out of your comfort zone, exposing you to different business problems and perspectives around the globe. Apply your learning to different cultural contexts. Work with real data to hone skills learned on the programme, delivering concrete impact and gaining hands-on experience. Focusing on Tech/Entrepreneurship and Social Impact, recent trips have explored a diverse range of locations, including Beijing, Tel Aviv, Cape Town and Silicon Valley.
Live company-based project
Applied project work is a critical component of the MAM, enabling you to put newly acquired theory into practice. In Terms 2 and 3, you’ll capitalise on our strong links to businesses in London and abroad, using real data to tackle real business problems. Focus on an extended live company-based project, showcasing your ability to use data to produce, translate and communicate key business insights.
Additional learning opportunities
It doesn’t end there - our beautiful London campus is jam-packed with opportunities to expand your learning. Get involved in the hugely popular Hackathon and enjoy our Practitioner speaker series, where industry professionals tell their own stories of delivering value through data and business analytics. You’ll also interact regularly with students from our other Early Career programmes through shared events like Orientation, away days and skills courses.