Business Analytics: Decision-Making Using Data

Leverage data-driven tools to optimise business outcomes
Country/Region
Inquiring For
Total Work Experience

Proven results

See how our learners saw them grow

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65%

Made successful career transitions

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67%

Applied learning to their jobs

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97%

Created more impact at work

*Emeritus impact survey, 2022

What you will learn

This programme does not require coding. To help you understand the unique opportunities and challenges of business analytics, this online programme concentrates on areas designed to advance your use of analytics to drive greater success.

Case studies

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Hotel industry

How does a hotel booking platform test whether advertising on its website works?

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Netflix

How did Netflix use its competition to improve their search and recommendation algorithms?

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Art

How do you use neural networks to train computers to replicate the styles of different artists?

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London Time

How many fashion watches should London Time order before the selling season begins?

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Cambridge Breakthrough Science (Biotech Company)

How will they decide which two of the four promising drugs should be developed further?

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UPS

How did UPS’ ORION initiative allow them to save an estimated $300-$400 million and a reduction of 100 million miles driven?

Our students

The 11-week Business Analytics: Decision-Making Using Data is designed for managers across all functions, seniority levels, industries and geographies who are interested in learning the tools and analytical approaches to become data-driven leaders.

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Geography
  • Europe — 50%

  • Asia — 22%

  • North America — 18%

  • Africa — 6%

  • South America — 4%

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Experience
  • < 5 years — 12%

  • 5–9 years — 19%

  • 10–14 years — 23%

  • 15–19 years — 20%

  • 20+ years — 26%

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Industries
  • Financial services — 16%

  • IT products and services — 12%

  • Consulting — 8%

  • Healthcare — 8%

  • Education — 6%

  • Other — 50%

How you will learn

Video lectures
Video lectures

Recorded video lectures are conducted by programme faculty. These lectures are dynamic, engaging and designed to reinforce learning.

Workbook activity
Workbook activity

Each assignment attempted in the workbook activity is reviewed and graded by programme leaders who are experts from the industries.

Live office hours
Live office hours

Learners will engage with faculty in live sessions to develop the components of an innovation strategy for their organisations.

Peer networking
Peer networking

Engage with other data analytics professionals from a wide range of backgrounds and industries, and leave the programme with an enduring professional network you can connect with to exchange ideas and share opportunities.

Dedicated programme team support
Dedicated programme team support

A learning team will provide ongoing personalised support and check on your progress throughout the programme.

Case studies
Case studies

The programme features a blend of case studies, organisational scenarios and insights in addition to other relevant industry examples.

Faculty

Professor Nektarios (Aris) Oraiopoulos
Professor Nektarios (Aris) Oraiopoulos

Professor in Operations & Technology Management, Director of the MPhil in Strategy, Marketing & Operations Programme, PhD (Georgia Institute of Technology), BEng (National Technical University of Athens)

Aris’ research is focused on understanding how organisations make high-stakes decisions, such as whether to invest in a new project, when to terminate a project that is not pe...

David Stillwell
David Stillwell

Professor of Computational Social Science, Academic Director of the Psychometrics Centre, BSc, MSc, PhD (University of Nottingham)

David’s research uses big data to understand psychology. He published papers using social media data from millions of consenting individuals to show that the computer can pred...

Testimonials

The theory put into practice is very strong in this programme, and the programme is based on research, real use cases and experiences.
Zahi El Haiby
Zahi El Haiby
Consultant, Delivery Associates
The course material is customised and rich, and the short videos make even big concepts clear…it was great learning from such a global, diverse and experienced cohort of 248!
Deepak Joshi
Deepak Joshi
Deputy Vice-President, Renault Nissan Technology and Business Centre India
The best part of the programme was seeing real-life examples of how and where data is used in decision making…I finally understand the term “machine learning” and the limits and possibilities of data-...
Elijah Lutwama
Elijah Lutwama
Head of Finance, ASARECA
I appreciated the lesson on psychological and behavioural influence on analysis and decision making. I also enjoyed all the business cases examples—they were highly relatable–as well as understanding ...
Cui Heng Cao
Cui Heng Cao
Business Architect, Cisco Systems, Inc.
The big thing for me was understanding analytics-based decisions that other companies are making in their business. This course pulled it all together and it will help guide me in my next venture.
Paul Watson
Paul Watson
Business Intelligence, FT
Certificate

Certificate

Upon successful completion of the programme, participants will be awarded a digital certificate of completion by Cambridge Judge Business School Executive Education.

Please note that this programme can be incorporated into the completion of the Cambridge General Management Certificate of Achievement (GMCA). It will be credited as an 'in-person' two-day programme for the purpose of meeting the GMCA requirements. If you require more details on the GMCA and wish to speak to our advisers, please contact executive.education@jbs.cam.ac.uk.

Note: After successful completion of the online programme, your verified digital certificate will be emailed to you in the name you used when registering for the programme. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Cambridge Judge Business School Executive Education.

FAQs

Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Programme Advisers or call us at +44 203 479 4043 (UK) / +1 315 819 0707 (US) / +65 3163 8580 (SG)

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available.

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