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Different course options

Study mode

Full time

Duration

12 months

Start date

SEP-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Business Studies Business Modelling / Analysis Data Analysis

Course type

Taught

Course Summary

With the emergence of new technologies such as AI and machine learning, the ability to analyse and interpret complex data sets is crucial for future business leaders. Our MSc in Business Analytics will equip you with the skills you need to succeed in an increasingly data-driven world. You will develop in-depth knowledge of both predictive and prescriptive analysis while also being exposed to many real-world business applications, and learn how to harness ‘big data’ to improve business performance.

Taught within a world-leading university, you will benefit from particular expertise in the study and analysis of data, science and technology. From early on, you will learn how to write code in programming languages such as Python and R, and gain the specialist skills you need to boost your career or start working as a business analyst, data scientist or consultant. Prepare for your future driving business transformation through data.

Career Impact

Imperial College Business School Careers provide world-class support that is tailored to your own individual career aspirations and is an integral part of our MBA programmes. A number of personalised services are provided before you start your programme, throughout your time at the Business School, and after you graduate, to support you both in securing a job in the sector of your choice and with ongoing career success.

Modules

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.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£41,000

International fees
Course fees for EU and international students

For this course (per year)

£41,000

Entry requirements

Academic requirement – quantitative undergraduate degree at First or 2:1 Honours (or international equivalent); Students need to 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.