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Programme curriculum

In a competitive job market, technical skills alone are not enough. Our Masters in Analytics and Management (MAM) equips you with a robust toolkit by combining London Business School’s superb reputation and world-class faculty in general management with cutting-edge data analytics.

This unique one-year programme focuses on the point where business, data and machine learning intersect. Here’s an overview of its structure and highlights.

PRE-TERM August–September	TERM ONE September–December	TERM TWO January–March	TERM THREE April–June	OPTIONAL 4TH TERM
Online preparation Accounting Finance Data Analytics Datacamp Excel Basics Academic Integrity and Referencing	Core academics and business skills Orientation Intro to R Intro to Python Applied Statistics Using Data Science Responsibly The Economics of Marketplaces Data Science for Business Data Management Machine Learning for Big Data Marketing Data Visualisation and Storytelling	Core academics and applied learning Decision Analytics and Modelling Machine Learning for Big Data Business Strategy Analytics Financial Reporting Analytics Operations Management Empirical Finance Performing in Organisations	Electives and applied learning Three electives	Additional electives and exchange Electives
Careers foundation				International exchange
		LondonLAB
	Global experiential course
	Skills programme: interpersonal, numerical and digital Practitioner Speaker Series Career Management

For information on changes to how we’re currently delivering learning in light of Covid-19 please visit our Return to campus FAQs page.

Optional fourth term

Contingent on career tracks, and subject to additional fees, the optional fourth term at LBS enables you to choose three additional elective or take an international exchange to broaden global exposure and understanding. Exchanges are available with other world-class business schools across Europe, North America and Asia.

The fourth term also expands your eligibility to apply for more internship opportunities. For companies which recruit on a strict penultimate year policy, MAMs will be able to apply for their summer internships commencing at the end of the core programme and return to complete their additional term.

Core courses

Explore our fully integrated curriculum that blends analytics and data science with our strength in general management.

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Electives

Customise your learning alongside students from all of our programmes.

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Programme highlights

LondonLAB

Translate theory into practice and build problem-solving skills to impress in a live business project.

Skills for impact

Gain new skills in professional areas critical to long-term career success.

Global Experiences

Our transformational global experiential courses challenge students to apply their learning in new and unfamiliar contexts, and to have responsible real-world impact on the communities and businesses they encounter.

MAM Learning experience

An unparalleled global learning experience

Fast-track your career building the knowledge, analytical understanding and decision-making skills to work across multiple sectors.

Can I apply for more than one programme at a time?

No. You'll need to select which programme you’re applying to at the beginning of your application. If you are unsure which is best for you, please contact our recruitment team on mam@london.edu.
What kind of career does the MAM prepare me for?

MAM is for those seeking a career as a Business or Data Analyst in the digital, consulting, retail, consumer goods, healthcare or finance sector. Graduates with strong analytical skills are sought after by organisations across sectors looking for data translators to drive strategic decisions.
Do you hold events for prospective students outside London?

We host events for prospective students across the world, ranging from information sessions to networking events. Due to Covid-19, we are currently hosting recruitment and admissions events online. If you'd like to join us, please register with one of our upcoming events.
What is the difference across the Early Career programmes?

Please see our programme comparison tool.
Do I have to be on campus to study the programme?

From September 2021, the School is adopting a Classroom First approach. For more information on what this means for you, visit our Return to campus page.

See all MAM FAQs

"The MAM takes a holistic approach that incorporates both business and science. We cover areas such as data sourcing, cleaning and storing, analysing data and using machine learning to deliver predictive analysis – in " ...

"The MAM takes a holistic approach that incorporates both business and science. We cover areas such as data sourcing, cleaning and storing, analysing data and using machine learning to deliver predictive analysis – in other words, figuring out what to do on the basis of " ...

Tolga Tezcan

Professor of Management Science and Operations, London Business School