Imperial Business Analytics: From Data to Decisions will expand your understanding of business analytics and teach you how to use descriptive, predictive and prescriptive analytics to identify, analyse and solve critical business problems. You will learn to effectively evaluate recommendations and communicate credibly with those who have deep technical knowledge in the field, having a greater impact within your organisation.
The four month online programme draws on expertise from Imperial College Business School faculty, industry experts and case studies. You will also work alongside your peers to explore the practical applications of the analytical frameworks you are learning.
You will experience live online teaching sessions and video lectures with interactive activities and assignments whilst receiving personal support from a dedicated Learning Team.
You will finish the programme prepared to implement what you’ve learnt. On completion you will receive a verified Digital Certificate from Imperial College Business School Executive Education.
Who should attend?
This international programme is designed for experienced professionals, including:
Mid-to-senior functional managers looking to improve their decision making and advance their career
Technical managers implementing analytics who need to understand languages like Python to guide their teams
Executives seeking a competitive edge in the market or wanting to scale their business or function
Consultants aiming to develop their knowledge to build effective solutions for their clients
The programme is applicable across industries, including: advertising, banking and financial services, consulting, education, FMCG, healthcare, IT, retail and telecommunications.
No coding experience is required and you will take two primer modules to bring you up to speed in mathematics, statistics and Python.
Identify problems which can be solved using data
Understand your data and draw insights from your data sets, using predictive machine learning techniques
Suggest problems and data sets that are optimally solved by support vector machines
Evaluate analytics in decision making and assess the feasibility of quantitative decisions
Recommend solutions for business problems using analytical techniques and differentiate between optimal and sub-optimal solutions
What you will learn
Module 1: Mathematics & Statistics Primer
Module 2: Python Primer
Module 3: Descriptive Analytics
Module 4: Predictive Analytics
Module 5: Prescriptive Analytics
Professor Wolfram Wiesemann
Professor of Analytics & Operations
Professor Wiesemann is Professor of Analytics & Operations at Imperial College Business School, where he also serves as the Academic Director of the MSc Business Analytics programme. He is also a Fellow of the KPMG Centre for Advanced Business Analytics.
Dr Alex Ribeiro-Castro
Alex holds an advisory position linked to the Business Analytics MSc and is an occasional guest lecturer for Executive Education. He also works as a quantitative analyst for the financial industry. He was previously a Data Scientist and Senior Teaching Fellow at Imperial College Business School. Dr Ribeiro-Castro holds a MA and PhD in Mathematics from the University of California (Santa Cruz), and held a professorship in Mathematics from the Pontifical Catholic University (PUC-Rio) in Rio de Janeiro.
Become an Associate Alumni
Take your partnership with Imperial College Business School to the next level by becoming an Associate Alumni. Complete more than eight days of our programmes to claim 'Associate Alumni' status and join our active alumni community.