Business Analytics and Technology Management (MSc) at Concordia University

Our MSc in Business Analytics enables recent graduates and early career professionals to understand the content, importance and relevance of big data problems facing businesses and will be familiar with a variety of statistical, operation research and machine learning techniques needed to solve them.

Combining academic rigour and practical relevance, you will learn from experts in our leading faculty how to apply the latest academic thinking and analytical and computing tools to help make business decisions.

There is a careful balance of teaching, hands-on coursework and training in data analysis and business intelligence tools, plus regular seminars by expert external speakers.

Imperial is recognised as a world leader in the study and analysis of data, and the Business School is home to the KPMG Centre for Advanced Business Analytics.

Our MSc in Business Analytics enables recent graduates and early career professionals to understand the content, importance and relevance of big data problems facing businesses and will be familiar with a variety of statistical, operation research and machine learning techniques needed to solve them.

Combining academic rigour and practical relevance, you will learn from experts in our leading faculty how to apply the latest academic thinking and analytical and computing tools to help make business decisions.

There is a careful balance of teaching, hands-on coursework and training in data analysis and business intelligence tools, plus regular seminars by expert external speakers.

Imperial is recognised as a world leader in the study and analysis of data, and the Business School is home to the KPMG Centre for Advanced Business Analytics.

Become empowered as a quantitative citizen. By leveraging open data and the most powerful open source software available today you will learn how to fish, rather than be fed. This course is designed to develop thinking, computing and analytic skills for working with data for evidence-based solutions of today's problems. You will learn how to critically assess information provided by others by sourcing and analysing data yourself, with a strong emphasis on ethical and reproducible methods. This course is suitable for those with undergraduate degrees in quantitative disciplines including mathematics, statistics, computer science and engineering. The content is student-centred, inclusive, accessible and participates will be expected to operate as a connected cohort of like-minded people ready to build a better society.