top of page

LBS MAM Review: Overview of the analytics master at LBS

Jun 4

10 min read

0

6

0

Table of contents


LBS MAM Review Overview


On the MAM, you learn through immersion. Explore wide-ranging subjects like Data Visualisation, Machine Learning and AI. Use real data sets to solve real problems during your live business project, or jump into the vibrant London start-up scene.


Forge ahead. Be relevant to the world’s top technology and consulting recruiters. Discover the programme content.

In this blog we cover all the details with respect to LBS MAM Review




Programme Content

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

TERM ONE

August–December

TERM TWO

January–March

TERM THREE

April–June

OPTIONAL 4TH TERM

September–December

Online Preparation- Accounting- Finance- Data Analytics- Datacamp- Academic Integrity and Referencing

Core Academics & Business Skills- Orientation- Intro to Python for Data Science- Applied Statistics- Using Data Science Responsibly- Financial & Managerial Accounting- Economics of Marketplaces- Data Science for Business- Data Management- Marketing- Data Visualisation & Storytelling

Core Academics & Applied Learning- Decision Analytics and Modelling- Machine Learning for Big Data- Business Strategy Analytics- Operations Management- Finance- Performing in OrganisationsElectives

Electives & Applied Learning- Electives

International Exchange




Learning Experience


  • Develop substantial analytics and programming skills using tools like SQL and Tableau, and languages like Python and R. Explore the models and methods of data mining and analytics

  • Build your awareness of big data, blockchain, AI, cybersecurity and mobile payments. Understand how to manage assets in the Cloud and learn how to create and launch an app

  • Gain the toolkit of teamwork and communication skills recruiters demand

  • Combine state-of-the-art software with your growing understanding of the analytics space and translate data into workable business solutions

  • Explore workshops, simulations and interactive lectures – engage in high-level problem-solving and decision-making with world-class faculty like Nicos Savva and leading analytics practitioners

  • Step outside your comfort zone to collaborate with high-achievers from widely diverse backgrounds. Your study group is carefully selected for maximum diversity.


Core Courses

Analytics and Data Science. General Management. The MAM core is fully integrated. Build a hybrid skill set that enables you to analyse and interpret data, then translate it into powerful business results.

Analytics/Data Science:

Rigorous analytics underpinned by a solid programming and database curriculum and delivered by expert practitioners and LBS faculty. Explore and test hypotheses and learn how to communicate and tell a story through data.


General Management:

Develop a structured approach to problem solving and decision-making, with ample opportunity to apply what you learn in the analytics curriculum. Hands-on project work with data and applied methodology provides subject specific business insight.


Online Pre-programme courses


Analytics Core:


Applied Statistics

Intro to R for Data Science

Intro to Python for Data Science

Data Science for Business I

Data Science for Business II

Data Visualisation and Storytelling

Data Management

Machine Learning for Big Data

Decision Analytics and Modelling


Management Core:


Financial and Managerial Accounting

Economics

Finance

Strategy

Organisational Behaviour - Performing in Organisations

Marketing


Career Impact


Showcasing a refined toolkit of analytical skills and a broad spectrum of business competencies, MAM graduates are primed to tap into this exciting and lucrative job market. Explore significant opportunities in:

  • Consulting, including boutique companies specialising in data collation and analysis for use in client acquisition and retention

  • Technology and consumer goods companies, making data-driven commercial and strategic decisions

  • Other sectors, such as Finance, Healthcare and Media seeking graduates with deep analytical capabilities.



MAM 2024 Employment Statistics

Present yourself to top global employers with confidence and flair. Our MAM graduates take up roles far and wide around the world, utilising newly honed skills in data analytics and strong business acumen. View the MAM employment report to find out where our 2024 graduates are working now.

Explore more career options here.


MAM 2024 Job Locations Post-Programme


Job Locations

Fees financing and scholarships

Tuition fees for the Masters in Analytics and Management 2025 intake are £49,950.

Fees are exclusive of any programme related travel expenses. This gives you flexibility to tailor your student experience and associated costs. For example, the different Global Experiences incur varying travel and accommodation costs depending on which location you choose.

In addition to the tuition fees, there is a Student Association Fee of £190 that covers the Student Association (SA) subscription, enabling students to participate in our vibrant community.


Scholarships

Our Scholars Community represents some of LBS’s brightest talent. In order to attract and support the best candidates we offer a number of merit scholarships. Admitted students are automatically considered for all merit awards for which they meet entry requirements.

Loans

A wide range of loans is available to help you finance your Masters in Analytics and Manageme

Find out more about loan options


Paying your fees

If you are offered a place on the full-time Masters in Analytics and Management programme, you will pay a commitment fee of £2,000 within approximately three weeks of your offer and then a reservation fee of £6,000 within approximately six weeks of your offer.

These fees are non-refundable and are deducted from your total tuition fees. Late applicants who are accepted will pay the tuition fees in a shorter amount of time.

A Student Association Fee of £190 is also levied to cover your Student Association (SA) subscription. This enables you to take part in the inspiring range of events and activities our LBS community provides.

Fees are the same for both international and domestic students.


Who attends


Is it right for me?

You're bright, ambitious and driven to achieve real career success in the analytics space.

You must have graduated within the last two years

Strong undergraduate degree (minimum 2:1 or global equivalent) in a subject such as Engineering, Maths and Sciences, Computing, Economics, Accounting, Finance or Business and Management OR other proof of quantitative ability.

Targeting a Business/Data Analyst career across sectors such as consulting, technology, finance, retail and healthcare

A track record of excellence, achievement and leadership potential

Existing knowledge of programming languages and data visualisation tools is a plus.

Why choose MAM?

Pursue a career in business analytics - with the flexibility to work across multiple sectors

Build a strong analytics toolkit without being pigeonholed into technical functions. Develop the management and communication skills to transition into broader business strategy roles

Expand your global business perspective and grow your international network

Become part of our extraordinary global community for life.


MAM 2025 Class Profile


Student, alumni and ambassadors


Apply

Take your next step:

Please review the below guide below which contains important information about the admissions calendar, required documents and what to expect once you’ve applied. Please carefully review all sections prior to submitting your application.


Application Process

Your admissions journey is staged, and you may apply by any one of the application deadlines indicated in the calendar. You should submit by 11.59pm UK time at the latest, on the day of your chosen deadline, in order to be considered for that stage. When you submit, please ensure that your application is fully complete with all mandatory documents including your referee’s completed reference form and the application fee.

The same selection criteria are applied throughout the admissions cycle, but competition is often intense in the final months and we recommend you apply as soon as possible. If you wish to be considered for a London Business School scholarship you are strongly encouraged to apply by no later than Monday 10 March.

Our calendar will indicate when you will receive a review decision from us, and the period we will be conducting interviews, as well as the final decision date. If you have any questions about admissions for the MAM programme, please contact mam@london.edu.


Admissions Calendar

The deadlines for the MAM2026 class (August 2025 intake) are:

Stage

Application Deadline

Interview Decision Sent

AC Final Decision Sent

1

Monday 7 October

Thursday 7 November

Thursday 12 December

2

Friday 3 January

Thursday 30 January

Thursday 13 March

3

Monday 10 March

Thursday 3 April

Thursday 8 May

4

Thursday 1 May

Tuesday 27 May

Thursday 19 June

Please note that candidates should submit their application by 23:59 UK time on the day of their chosen deadline, in order to be considered for that stage.


Required documents


Completed application form

Application essays

GMAT/GMAT Focus/GRE

One page CV

Name and details of referee

Proof of English language ability

Application fee

A copy of your university transcripts


Admissions advice:

Alexandra Barnett, Graduate Masters Recruitment and Admissions Director, shares her advice on applying to our Masters in Analytics and Management programme



Frequently Asked Questions


Do you hold events for prospective outside london?

Can i visit LBS?


For additional questions visit LBS FAQ's




Related Posts

Comments

Deine Meinung teilenJetzt den ersten Kommentar verfassen.
bottom of page