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Business Analytics: Decision-Making Using Data

11 weeks (Online)

USD2,000 (Online)

27 Apr 2023 (Online)

The Simon Sainsbury Centre at Cambridge Judge Business School, where the Executive Education programmes take place.

Make essential decisions informed by data

In the digital economy, being able to make decisions informed by data is not optional – it is essential. Organisations that make decisions based on data simply perform better.

The online Business Analytics programme provides you with the tools you need to put data to work, enabling you to set up experiments, collect data, learn from data and make decisions to how to navigate the organisational, legal and ethical issues involved in data-based decision making. The programme teaches widely used frameworks of business analytics: biases, experimentation, descriptive analytics, prescriptive analytics, predictive analytics.

You will then implement the frameworks you have learned through assignments. You will join a global and diverse group of participants in the discussion boards where you share your perspectives on the issues being discussed with other participants and seek their views.

Taking place over 11 weeks, the learning journey for this programme will be composed from a combination of video lectures, live webinars, assignments, Q&A sessions and discussions. At the end there will also be follow-up with participants after they have completed their assignments. The programme will give you the tools needed to transform your business into a data-driven organisation.

This programme is being delivered in collaboration with Emeritus.

Emeritus logo.


Your learning journey

Module 1: Decision biases

  • Learn how to identify the types of biases in a decision-making process and ask for the right information

Module 2: Descriptive analytics

  • Discover how to collect, clean and describe the data you have, including summary statistics

Module 3: Big data opportunities

  • Identify what big data means to you and what you can do with it while learning the four Vs of big data—volume, variety, velocity and veracity

Module 4: Experimentation

  • Understand the gold standard for making experimentation work, design experiments to gather meaningful data and make data-driven decisions

Module 5: Predictive analytics I – Machine learning

  • Master how to use machine learning tools/models, identify neural networks and analyse data to optimise decisions for your business

Module 6: Predictive analytics II – Neural networks

  • Learn about the applications and predictive capabilities of neural networks and explore how to choose the network architecture

Module 7: Prescriptive analytics I

  • Understand what prescriptive analytics is and learn how to connect predictive analytics to a business objective

Module 8: Prescriptive analytics II – Behavioural economics biases

  • Learn more about prescriptive analytics by understanding risk aversion, sunk cost fallacy, diversification, decision-making processes and debiasing

Module 9: Ethics/legal and organisational issues

  • Identify organisational issues that you will need to consider when making decisions along with the legal and ethical issues behind gathering, storing and using data.

Download the Open Programmes brochure for more information on the modules and faculty.


After completing this programme, you will be able to:

  • Recognise different types of biases that give way to bad decision making and learn how to overcome them
  • Avoid bias in decision making by asking questions critical to your business and identifying the data needed to answer those questions
  • Learn about the sources of data, the intermediary software services that can fetch those data into your database, and then assess the quality of the collected data
  • Explain the reasons behind past events by analysing and summarising data
  • Predict future outcomes by choosing the appropriate machine learning algorithm to use in a business context
  • Learn the implementation challenges of creating a data-driven organisation
  • Understand the ethics and regulatory issues involved in making decisions using data
  • On completion of the programme, participants will be awarded a digital certificate of completion by Cambridge Judge Business School Executive Education.
Icon: Executive Education Certificates of Achievement.

This programme counts towards the Cambridge Judge Business School General Management Certificate of Achievement. On completing the GMCA you will be eligible to become an associate member of Cambridge Judge Business School’s global network of graduates and business-focused University of Cambridge alumni, faculty and staff.

We all need to develop a mindset of living with constant change. Data-driven projects won’t end anymore but will constantly evolve and iterate. We will be continually testing, experimenting and changing things as our customers’ and clients’ needs and desires change.
David Stillwell, Professor of Computational Social Science

Faculty & speakers

Learn from our world-class faculty who bring fresh insights from their leading-edge research into all of our Executive Education programmes.

Access profiles of the programme’s faculty:

Download the Open Programmes brochure for more information on the modules and faculty.

Programme format

Lady studying on a laptop, participating in Cambridge Online course.


Our fully online programmes run over the course of multiple weeks, allowing you the greatest level of flexibility as to where and when you study. The learning is carefully structured in weekly components through a mix of curated videos, live webinars with Cambridge faculty plus Q&A sessions with Live Chat, assignments and discussions. Individual support is available through course Leaders and a dedicated Programme Support Team.

Our online programmes are delivered in collaboration with either Eruditus Executive Education or the Emeritus Institute of Management.

Who should attend?

  • Business managers across different functions who drive or intend to drive analytics projects at their organisation.

COVID-19 (Coronavirus) update

Why Cambridge Judge Business School?

Cambridge Judge faculty

All of our programmes are designed and led by an Academic Programme Director, who is a member of Cambridge Judge Business School faculty. They will also deliver substantial portions of that programme.

Leading-edge research

The research conducted by Cambridge Judge Business School’s 20 research centres, across a diverse range of disciplines, flows directly into all of our programmes, bringing new insights to our programme content.

Small group learning

With small class sizes, we continue the Cambridge way of learning that emphasises high levels of interaction with both our world-class faculty and peers.

Related programmes

Business Analytics: Decision-Making Using Data belongs to our Managing Organisations-topic executive education programmes. Here are a selection of related programmes:

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People Analytics: Transforming HR Strategy with Data Science

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22 Jun-24 Aug 2023

Provides practical approaches to set up your people analytics team and leverage data that already exists within your organisation, to solve strategic challenges at the workplace.

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Integrating Risk into Strategic Decision-Making

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Economic volatility, regulatory change and digital disruption are the new normal. Leaders require new ways to manage and respond dynamically to complex risks and uncertainties. Now is the time to take a broader view beyond the traditional areas of operational, financial and compliance risk.

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USD2,000 (Online)

Please note prices pre-registration are subject to change.

Contact us

If you have any questions or would like to have a chat about this programme and how it could benefit you or your organisation, please get in touch with the Open Programmes team:

[email protected]

Additional information

Registration closes at midday two working days before the programme start date.

Participants are expected to attend the full programme.

For information regarding payment terms, cancellation rights, transfer policies and fees, please see our terms & conditions documents:

Terms & Conditions for Self-funded Applicants (updated January 2023)

Terms & Conditions for Organisation-funded Applicants (updated January 2023)

Version 9 (24 March 2023)