LBS MAM Review: Overview of the analytics master at LBS
0
84
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
Lay the groundwork for your learning before term starts. LBS online modules in finance, accounting and statistics blend seamlessly into the rest of your core courses. Other pre-work including programming ensure you are up to speed on the applications used in the core.
Pre-programme courses are mandatory, but students with prior knowledge and experience in these areas may take the online tests without completing the coursework.
Analytics Core:
Applied Statistics
Using state-of-the-art business software, build a critical understanding of statistical models, including issues of credibility, overfitting and generalisation. Learn how to communicate and reason with data models.Key concepts taught:
R and R studio for data analysis and decision making
Multiple, logistical and nonlinear regression analysis
Inferential Statistics, including sampling and Bootstrapping.
Intro to R for Data Science
Sometimes referred to as the “golden child” of Data Science, R is a vital programming language for all big data analysts.
Key concepts taught:
Write and use R script files and functions
Loops
Basic plotting
Data modelling
Graphics.
Intro to Python for Data Science
One of the most popular programming languages, Python is an important part of your data analysis toolkit.
Key concepts taught:
Conditional statements and loops
Work with strings, lists and dictionaries
Read and write data
Pandas for data analysis
Time series and data frames
Matplotlib for visualisation.
Data Science for Business I
It is now relatively cheap to collect, store and retrieve data, thanks to widespread use of the world wide web and advances in computer technology. Learn the fundamentals of data science and the data science project cycle, identifying applications of data mining in business problems.
Key concepts taught:
Predictive modelling
Regression-based methods for data mining
Model selection
Data fitting and over fitting
Model testing
Cross-validation and learning curves
Classifications
Clustering.
Data Science for Business II
Next, learn to identify applications of data mining in more complex business problems. Assess which learning algorithms best suit different situations and master data mining tools for data exploration.
Key concepts taught:
Clustering
Regression trees
Nearest neighbours
Advanced classification methods, such as Naïve Bayesian learning.
Data Visualisation and Storytelling
Understand how to effectively communicate information about data. Use graphical, verbal and visual means targeting three major audiences: data experts (e.g. Head of Analytics); consumer and presentation experts (e.g. Chief Marketing Officer); and executive leadership (e.g. Chief Executive Officer).
Key concepts taught:
Visualisation tools in Tableau & R
Design principles for effective charts and graphs
Visualising different types of data (e.g. categorical time series and geospatial data)
Effective dashboard design and digital presentations.
Data Management
Explore the fundamentals of data storage and build essential skills in data cleansing and retrieval. Learn to facilitate data usage to ensure data quality in organisations and data science projects.
Key concepts taught:
Data management, including RDMS and ERD
Database design
Data analysis with SQL
Data warehouses and data lakes
Internet database environments.
Machine Learning for Big Data
How do you use dimension reduction techniques to deal with large data? Use contemporary machine learning methods to analyse large data sets and build your understanding of how to use text data for prediction, classification and data exploration.
Key concepts taught:
Dimension reduction
Text mining
Discriminant Analysis
Neural networks
Processing text data and text mining.
Decision Analytics and Modelling
Use data to turn real-world problems into actionable business decisions.
Key concepts taught:
Decision Modelling
Linear, Convex and Integer programming
Risk Analysis
Monte Carlo simulation
Decision trees.
Management Core:
Financial and Managerial Accounting
Accounting is the language of business. Whether you choose a career as a corporate manager, investor, advisor or entrepreneur, you will need to understand accounting information to make your business decisions. Learn the fundamental concepts in financial and managerial accounting and you will understand how business transactions are reflected in the accounts and how to analyse appropriately financial statement information. Engage in accounting data analysis to acquire first-hand experience of how professionals deal with accounting information in the real world.
Economics
Take a closer look at the needs of managers, examining markets, how they operate and how they affect firms’ choices. Evaluate major strategic bets in commodity markets and use fact-based, logically-grounded predictions about costs and the path of market prices. Identify the categories of costs that are relevant for critical business decisions such as pricing, new market entry and capacity abandonment. Learn how the interplay between cost and demand fundamentals determines profit-maximising pricing decisions and apply game theory to analyse interactions among strategic agents.
Finance
Analytics is now revolutionising the finance industry and central to most finance activities. Learn the concepts and tools needed to be at the forefront of this change. Consider how lenders can use Big Data to make faster, better credit decisions and examine how traders can use data analytics to maximise portfolio returns.
Strategy
Find out how to apply quantitative methods to distinguish between different strategic options. Expose potential pitfalls, hidden benefits and look at the strategic context in which these different options will be analysed.
Organisational Behaviour - Performing in Organisations
Prime yourself for career success, not just in terms of deliverables and meeting objectives but also in how you ‘perform’ on the organisational stage. Build coalitions, map and manage social networks, understand/change cultures and most importantly, learn how to work in teams. Our goal is to enhance your interpersonal skills, helping you navigate the social side of your organisational and professional life: Build an awareness of how social organisations work, and learn how to assess their characteristics; develop the ability to work effectively in a team and help teammates contribute at their best; and learn the social sciences necessary for you to thrive and grow within different firms.
Marketing
How does a firm create value for its customer? How does it capture a share of that value for itself in the form of revenue? The goal of the marketing process is to assemble a detailed understanding of customers and prospects and to use this knowledge to organise the firm’s offer to those groups. Learn the key concepts, frameworks and tools relevant to analysing business settings from a marketing perspective and apply them to marketing-related problems, developing appropriate recommendations – and solutions – for the decision maker.
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
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?
We host events for prospective students across the world, ranging from international information sessions to networking events. Visit our information events page to register for an online or in-person event near you.
For additional questions visit LBS FAQ's
