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MSc Business Analytics

Imperial College Business School
Program overview
1 year
Full time
Master's degree
Scholarships available
Start dates
London
September 2022

London
September 2023

London
September 2024

Program description

MSc Business Analytics

This Master's is an intensive programme, where you will attend lectures at our campus in South Kensington, London. You'll be at the heart of one of the world's leading cultural, business and financial centres.

You will be taught through a range of contexts including lectures, syndicate discussions, group exercises and individual case studies assessed through a combination of examinations, group presentations and coursework. Spring and summer term electives are sector-focused, giving you the opportunity to tailor the programme to your interests.

Expert consultants from Imperial College London Business School Careers will offer you the very best support, advice and guidance that is tailored to your own specific career needs. You will have access to highly relevant and unlimited one-to-one support, as well as regular workshops and networking opportunities with employers who regularly visit our campus.

Admission requirements

To apply for MSc Business Analytics you should have a First or Upper Second Class Honours undergraduate degree from a recognised university or the international equivalent in a quantitative discipline such as:

  • Mathematics
  • Statistics
  • Computer science
  • Engineering
  • Physics
  • A quantitative economics degree

We may consider candidates applying to MSc Business Analytics (online delivery, part-time) with non-traditional qualifications and backgrounds, on the basis of highly relevant work experience or demonstrated interest. If you come from a less quantitative degree background we advise you to take the GMAT or GRE test to demonstrate your quantitative ability. If you do not meet the requirements listed above please contact the Admissions team to discuss your eligibility.

Prerequisite knowledge requirements

Your quantitative experience should typically include topics such as advanced calculus, probability, statistics and linear algebra.

Complete our online Maths test to determine if you are suitable to apply for the programme.

GMAT is not required for MSc Business Analytics, but a well-balanced GMAT result with 650 or higher overall and a good result in the quantitative reasoning section will add weight to you application.

The most common ways that applicants meet the requirements are:

  • IELTS (academic): A minimum score of 7.0 with minimum scores of 6.5 in all elements. The IELTS indicator test will be accepted for admissions to the 2020/21 academic year.
  • TOEFL iBT: A minimum score of 100 overall with minimum scores of 22 in all elements. The ETS at Home test will be accepted for admission to the 2020/21 academic year.
  • Duolingo English Test: 125 Overall with no less than 115 in any band score.
  • Degree studied in and awarded by an English-speaking country and English language assessed to be proficient via Kira Talent video interview.


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Program content

Core modules rapidly build the theoretical and programming foundations you need for analytics. They are the backbone of the programme and will provide you with a solid combination of tools and knowledge.

These modules are studied on campus by full-time students, and online for those studying the part-time programme.

Analytics in Business

This module surveys some of the most popular and widely used methodologies for drawing inferences from data, as well as common analytics fallacies (correlation vs. causality, paradoxes of high-dimensional data,etc.). The module also offers an overview of the technical infrastructure required for business analytics (e.g., distributed file systems and DBMS, cloud computing etc.).

Data Structures and Algorithms

This module introduces you to the design of algorithms and data structures for computational problem solving. The design of efficient computational methods for sifting through large data sets lies in the core of modern technological innovation ranging from search engines and social networks to healthcare, energy and finance. The module will familiarise you with key algorithm design paradigms and central concepts of computational complexity and running-time analysis. You will develop a working knowledge of basic algorithms (for problems such as search, sorting, and shortest paths) and data structures, along with the necessary programming constructs. The module will also serve as an introduction to the Python programming language, with the goal of becoming proficient in organizing and writing programs for practical problem-solving.

Fundamentals of Database Technolgies

This module introduces you to practical usage of databases with the main emphasis on SQL and related technologies. As big data problems are more and more prevalent for business, this module introduces basics of their processing with Apache Spark – a versatile, big data processing engine. This module will use PostgreSQL - one of the most popular and powerful object-relational database management systems.

Machine Learning

This module will teach you basic analytics skills and methodologies for large-scale data analysis. It will focus on the practical use of these skills and methodologies to solve real world problems. The goal of the module is to enable you to be data-savvy, analytically minded and coding-literate problem solvers.

Maths and Statistics Foundation for Analytics

This rigorous module will teach you concepts of probability, statistics and linear algebra. You will learn to summarise and analyse data using statistical concepts and understand linear algebra to represent and manipulate data. This will ensure that you build a solid foundation of the mathematical concepts necessary to succeed on the programme. This module will also serve as an introduction to R.

Network Analytics

Networks arise in many different contexts and a vast amount of networked data is now generated. For instance social networks such as Facebook and Twitter generate immense amount of data that is invaluable to marketers and businesses to obtain product feedback and do targeted marketing. This module covers algorithms, analysis and interpretation of network data and relationships.

Optimisation and Decision Models

Optimisation plays a key role in statistical, machine learning and business operational models. This module trains students on the fundamental optimisation tools available to the modeller and business analyst. You will obtain hands-on experience with the key modelling (AIMMS, GAMS, AMPL) and optimisation (CPLEX, GUROBI) software packages.

Statistics and Econometrics

This module provides an introduction to multiple regression analysis and related methods for analysing data in business applications.

Visualisation

This module covers a range of state-of-the-art methods and tools to visualise high-dimensional data. You will learn how humans process and perceive images, be introduced to the best practices for visualising patterns in large data sets, and get hands-on experience with state-of-the-art visualisation software packages.

Scholarships & funding

Several scholarship options are available. Please visit the institute website for more information.

Program delivery

The MSc Business Analytics is a one year, full-time intensive programme. The programme comprises nine core modules, and a choice of six elective modules from a range of subject areas. These modules are taught over three academic terms. Over the summer, students have the choice to undertake either a Consulting Project or a Work Placement and write a Business Analytics Report.

The normal working week is Monday to Friday. Classes will be scheduled between 08.30 and 21.00. Other optional activities such as guest lectures or alumni and careers events may be scheduled in the evening.

Tuition fees

The cost of tuition for this program is £32,500 for all students.

Career opportunities

Graduates are typically employed in a variety of sectors in roles, such as:

  • Consulting
  • Data Analytics Consultant
  • Associate Analytics Consultant
  • Business Analyst
  • Technology Consulting Analyst
  • Data Analyst
  • Mobile Analyst
  • Risk and Regulatory Analytics Analyst

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About this institute

Imperial College Business School

At Imperial College Business School, we offer a range of programs to inspire intelligent and creative minds from a diverse range of backgrounds to be the world’s future business leaders. As part of Imperial College London, a global leader in...


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Contact info

Imperial College Business School

Imperial College Business School
Imperial College London South Kensington Campus
SW7 2AZ London
United Kingdom

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www.imperial.ac.uk/business-school/

Contact school

Want to know more about MSc Business Analytics? Fill out the following form and we'll pass your details on to a representative from the school, who will respond to your enquiry.

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