The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events Specialist
Leverage data-driven tools to optimise business outcomes
Download Brochure
January 16, 2025
11 weeks, online
4–6 hours per week
Participants report that enroling in a programme with colleagues fosters collaborative learning and amplifies their impact.
Please provide your details to get more information about the group-enrolment pricing.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistTuition assistance is live as per below schedule. The full programme fee is £1,750 as of the start date.
Business Analytics: Decision-Making Using Data is an 11-week online programme brought to you by Cambridge Judge Business School Executive Education. This hands-on, interactive programme will enable you to:
Drawing on faculty expertise, case studies and peer interactions, you will gain the skills to turn your organisation’s data into a strategic asset that drives more informed decisions and better business outcomes.
Only two in ten (22%) believe they have the necessary skills in their organisation to deliver strong value from data.
Less than half (42%) of respondents felt that the benefits of using data were clearly understood within their organisation.
Businesses that base decisions on data are 19 times more likely to be profitable.
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.
Learn the importance of data-driven decision-making in the modern world. Understand how to frame a problem, and identify the main hazards that prevent us from making optimal decisions.
Obtain data through techniques that include data mining and web scraping, and make it usable through data cleaning. Explore various application programming interfaces, which help applications and databases (or other services) communicate with each other.
This module provides an overview of big data, noting both the opportunities and challenges. Explore the four Vs of big data: volume, variety, velocity and veracity — and how these attributes are used to extract value to make important business decisions.
Learn the importance of experimentation in drawing meaningful conclusions from big data. Explore various standards of experimentation with A/B testing, randomised controls and correlations.
Predicting the future with more confidence becomes a reality as you explore various supervised machine learning algorithms, such as regression, decision trees and support vector machines.
Gain an understanding of how neural networks learn through training and how predictions are made. Learn how to choose the right network architecture for making business predictions, and assess whether you require a neural network at all.
Create an action plan for your business by linking predictive analytics data with your business model and objectives using value driver trees. Use decision trees to run simulations to predict profits for various scenarios and levels of uncertainty.
Focus on risk aversion by examining the frame through which you view the problem. Learn the significance of defining collective objectives, constraints and decision criteria to avoid biases and overcome decision traps in the decision-making process.
Learn about the challenges in implementing data obtained from your various analytics projects and how to overcome them by setting up the appropriate infrastructure within your organisation.
Understand the legal issues associated with big data, and reflect upon the ethical considerations of predicting customers' personalities using their online profiles to send them targeted advertisements.
Learn the importance of data-driven decision-making in the modern world. Understand how to frame a problem, and identify the main hazards that prevent us from making optimal decisions.
Gain an understanding of how neural networks learn through training and how predictions are made. Learn how to choose the right network architecture for making business predictions, and assess whether you require a neural network at all.
Obtain data through techniques that include data mining and web scraping, and make it usable through data cleaning. Explore various application programming interfaces, which help applications and databases (or other services) communicate with each other.
Create an action plan for your business by linking predictive analytics data with your business model and objectives using value driver trees. Use decision trees to run simulations to predict profits for various scenarios and levels of uncertainty.
This module provides an overview of big data, noting both the opportunities and challenges. Explore the four Vs of big data: volume, variety, velocity and veracity — and how these attributes are used to extract value to make important business decisions.
Focus on risk aversion by examining the frame through which you view the problem. Learn the significance of defining collective objectives, constraints and decision criteria to avoid biases and overcome decision traps in the decision-making process.
Learn the importance of experimentation in drawing meaningful conclusions from big data. Explore various standards of experimentation with A/B testing, randomised controls and correlations.
Learn about the challenges in implementing data obtained from your various analytics projects and how to overcome them by setting up the appropriate infrastructure within your organisation.
Predicting the future with more confidence becomes a reality as you explore various supervised machine learning algorithms, such as regression, decision trees and support vector machines.
Understand the legal issues associated with big data, and reflect upon the ethical considerations of predicting customers' personalities using their online profiles to send them targeted advertisements.
How does a hotel booking platform test whether advertising on its website works?
How did Netflix use its competition to improve their search and recommendation algorithms?
How do you use neural networks to train computers to replicate the styles of different artists?
How many fashion watches should London Time order before the selling season begins?
How will they decide which two of the four promising drugs should be developed further?
How did UPS’ ORION initiative allow them to save an estimated $300-$400 million and a reduction of 100 million miles driven?
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.
Geography
Experience
Industries
Video lectures
Recorded video lectures are conducted by programme faculty. These lectures are dynamic, engaging and designed to reinforce learning.
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
Learners will engage with faculty in live sessions to develop the components of an innovation strategy for their organisations.
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
A learning team will provide ongoing personalised support and check on your progress throughout the programme.
Case studies
The programme features a blend of case studies, organisational scenarios and insights in addition to other relevant industry examples.
Professor Nektarios (Aris) Oraiopoulos
David Stillwell
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 performing well, what data they can leverage to become more innovative and what organisational structures they should put in place to empower a sound decision-making process. He has worked with organisations across various industries and sectors, including AstraZeneca, British Telecom, HSBC, Johnson & Johnson and the Abu Dhabi Police Force. He is co-author of the book, From Breakthrough to Blockbuster: The Business of Biotechnology, published in 2022 by Oxford University Press. This is an essential resource for students, scientists, investors, entrepreneurs, physicians, policy makers, and all others interested in how new medicines come into existence.
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 predict a user’s personality as accurately as their spouse can. He has spoken at workshops organised by the EU Data Protection Supervisor and by the European Parliament’s Science and Technology Options Assessment Panel to UK government regulators and to the Bank of England. His research has also been cited by many governments’ national data protection regulators worldwide. David consults on the topics of psychometrics, people analytics and big data. He has worked on projects with organisations such as Amazon Payments, Barclays, Hilton Hotels, RBS, Shell and Ubisoft.
— Zahi El Haiby, Consultant, Delivery Associates
— Deepak Joshi, Deputy Vice-President, Renault Nissan Technology and Business Centre India
— Elijah Lutwama, Head of Finance, ASARECA
— Cui Heng Cao, Business Architect, Cisco Systems, Inc.
— Paul Watson, Business Intelligence, FT
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.
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After reviewing the information on the programme landing page, we recommend you submit the short form above to gain access to the programme brochure, which includes more in-depth information. If you still have questions about whether this programme is a good fit for you, please email learner.success@emeritus.org, and a dedicated programme adviser will follow up with you very shortly.
Some programmes do have prerequisites, particularly the more technical ones. This information will be noted on the programme landing page, as well as in the programme brochure. If you are uncertain about programme prerequisites and your capabilities, please email us at the ID mentioned above.
Note that, unless otherwise stated on the programme web page, all programmes are taught in English, and proficiency in English is required.
More than 50 per cent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but generally, our online certificates draw a highly diverse audience in terms of professional experience, industry and geography—leading to a very rich peer learning and networking experience.
Check back at this programme web page or email us to inquire if future programme dates or the timeline for future offerings have been confirmed yet.
Each programme includes an estimated learner effort per week. This is referenced at the top of the programme landing page under the Duration section, as well as in the programme brochure, which you can obtain by submitting the short form at the top of this web page.
We have designed this programme to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities, including:
The programme is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please email us if you need further clarification on programme activities.
More than 300,000 learners across 200 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 per cent of the respondents of a recent survey across all our programmes said that their learning outcomes were met or exceeded.
All the contents of the course would be made available to students at the commencement of the course. However, to ensure the programme delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the programme in a cohort-based manner the cost of which is already included in the overall course fee of the course.
A dedicated programme support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues or anything else that may affect your learning experience.
Peer learning adds substantially to the overall learning experience and is an important part of the programme. You can connect and communicate with other participants through our learning platform.
Each programme includes an estimated learner effort per week, so you can gauge what will be required before you enrol. This is referenced at the top of the programme landing page under the Duration section, as well as in the programme brochure, which you can obtain by submitting the short form at the top of this web page. All programmes are designed to fit into your working life.
This programme is scored as a pass or no-pass. Participants must complete the required activities to pass and obtain the certificate of completion. Some programmes include a final project submission or other assignments to obtain passing status. This information will be noted in the programme brochure. Please email us if you need further clarification on any specific programme requirements.
Upon successful completion of the programme, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools or potential employers. You can use it on your cover letter or resume and/or display it on your LinkedIn profile.
The digital certificate will be sent approximately two weeks after the programme, once grading is complete.
No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social networking platforms, such as LinkedIn, Facebook and Twitter.
No, there is no alumni status granted for this programme. In some cases, there are credits that count towards a higher level of certification. This information will be clearly noted in the programme brochure.
You will have access to the online learning platform and all the videos and programme materials for 12 months following the programme start date. Access to the learning platform is restricted to registered participants per the terms of agreement.
Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files and transcripts.
Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access programme content from a desktop, laptop, tablet or mobile device.
Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you can view them later.
Yes, you can register up until seven days past the published start date of the programme without missing any of the core programme material or learnings.
The programme fee is noted at the top of this programme web page and usually referenced in the programme brochure as well.
Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your programme adviser or email us for details.
Yes! Please email us with the details of the programme you are interested in, and we will assist you.
Please email us your invoicing requirements and the specific programme you’re interested in enrolling in.
Yes, the flexible payment option allows a participant to pay the programme fee in instalments. This option is made available on the payment page and should be selected before submitting the payment.
Please connect with us via email for assistance.
Emeritus collects all programme payments, provides learner enrollment and programme support, and manages learning platform services.
Programme fees for Emeritus programmes with Cambridge Judge Business School Executive Education may not be paid for with (a) funds from the GI Bill, the Post-9/11 Educational Assistance Act of 2008, or similar types of military education funding benefits or (b) Title IV financial aid funds.
For the programme refund and deferral policy, please click the link here.
Flexible payment options available.