Imperial Business Analytics: From Data to Decisions

Learn the fundamentals of Python & drive business decisions with descriptive, predictive, and prescriptive analytics.

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Course Dates

STARTS ON

20 June 2024

Course Duration

DURATION

16 weeks, online
4-6 hours per week

Course Fee

PROGRAMME FEE

£1,730 and get £188 off with a referral

Course Information Flexible payment available
Course Fee

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Emeritus is collaborating with Imperial College Business School Executive Education to help you build future-ready skills. Enrol before and get up to 8% tuition assistance to set yourself up for professional success.​

Application Details

Tuition assistance is live as per below schedule. The full programme fee is £1880 as of the start date.

programme fee

£1,730

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Why enrol for the Business Analytics programme?

Imperial Business Analytics: From Data to Decisions is an online programme brought to you by Executive Education at Imperial College Business School. This immersive and interactive programme will:

  • Take you through the fundamentals of the programming language Python to help you expand your understanding of business analytics.
  • It will teach you how to use descriptive, predictive and prescriptive analytics to identify, analyse and solve critical business problems.
  • It will help you understand and explore fundamental methods, frameworks and techniques of business analytics to make sense of your data and use it to make informed business decisions.

You will draw on expertise from Imperial College Business School faculty, industry experts, case studies and your peers. You will also explore the practical applications of the analytical frameworks you are learning.

There is no prior programming knowledge required.

97%

Percentage organizations are investing in data initiatives

Source: NewVantage Partners

74%

Percentage organizations have appointed Chief Data or Analytics Officers, or both as one role

Source: NewVantage Partners

92%

Percentage organizations are seeing returns on their data and AI investments

Source: NewVantage Partners

Who is this programme for?

This international programme is designed for experienced professionals, including:

  • Technical managers implementing analytics in their function or organisation.
  • Professionals seeking to enter into the field of analytics & data science.
  • Mid-to-senior functional managers looking to improve their decision making using data.
  • Consultants aiming to develop their knowledge of business analytics.

The programme’s content and lessons are applicable across industries, including: banking and financial services, IT, healthcare, consulting, advertising, education, fast moving consumer goods, retail, and telecommunications.

Participant testimonials

"The best part was getting introduced to descriptive, predictive and prescriptive analytics in one programme, and gives a good overview. Often, these topics are treated separately, and it is then hard to see the linkage between them."

— Fabrice Dunand, Senior Director, Global Strategic Planning & Market Intelligence, Ferring Pharmaceuticals

"The assignments for each week were both interesting and well structured to test if you had understood the tutorial. I found this part the best method of applying hard theory to practical business situations. The case studies were real business situations, which made me absorb the information easily."

— Lynne Chang, Business Analyst, Fidelity International

"This programme is an excellent review for those who want to upgrade their skills and knowledge of statistics or analytics. It has helped me refocus my business mindset towards data."

— Hansa Kraikosol, Managing Director, Playmondo Group

"The programme helped me learn the theory of basic machine learning, and it opened my knowledge of how I can use those methods to analyse the data and get the optimal solution."

— Xupeng Ding, Marketing Analytics & Consumer Insights Lead, Warner Bros. Entertainment

"As an online executive programme, the programme gives a very good overview of business analytics, including hands-on practice. The office hours by the learning facilitators and professor webinars were very helpful in building a good understanding of the programme content."

— Swapna Kartik, Client Data & Analytics Product Management Lead, Citi

Drive business decisions with

Decorative image relating to Descriptive Analytics, Predictive Analytics and Prescriptive Analytics.

Faculty

Faculty Member Professor Wolfram Wiesemann

Professor Wolfram Wiesemann

Professor of Analytics and Operations; Head of the Analytics, Marketing and Operations Department; Fellow, Imperial Business Analytics Centre Operations Management Department, Imperial College London

Wolfram Wiesemann is a professor of analytics and operations as well as the head of the Analytics, Marketing and Operations department at Imperial College Business School. In addition, he holds a courtesy appointment in the Department... More info

Faculty Member Dr Alex Ribeiro-Castro

Dr Alex Ribeiro-Castro

Data Scientist

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... More info

Modules

Module 1:

Maths and Statistics Primer

Learn the basics of statistics and probability, including theory and models, Bayes’ rule, conditional probability, probability distribution, binomial distribution, central limit theorem, and manipulating normal variables.

Module 2:

Python Primer

Gain an overview of operating systems; use variables in Python; create and manage lists; understand tuples and dictionaries in Python; delve into Boolean and conditional variables; expand your knowledge of functions, and work on code manipulation.

Module 3:

Descriptive Analytics

Evaluate data for business decisions; estimate statistics of a data set and maximum likelihood; learn detection and quantification of correlation; understand outliers and linear regression, and discover how these concepts are used in real-life applications.

Module 4:

Predictive Analytics

Dive into machine learning; understand supervised learning; compare forecasting vs. inference; use nearest neighbors for classification; predict outcomes using regression trees; classify data using support vector machines; measure the similarity of data clusters, and predict outcomes for different clusters.

Module 5:

Prescriptive Analytics

Build your knowledge of linear programming by tackling problems of optimisation, production planning, and capital budgeting; identify constraints and the optimal solution; model business problems as linear programmes; learn tricks of the trade.

Module 1:

Maths and Statistics Primer

Learn the basics of statistics and probability, including theory and models, Bayes’ rule, conditional probability, probability distribution, binomial distribution, central limit theorem, and manipulating normal variables.

Module 4:

Predictive Analytics

Dive into machine learning; understand supervised learning; compare forecasting vs. inference; use nearest neighbors for classification; predict outcomes using regression trees; classify data using support vector machines; measure the similarity of data clusters, and predict outcomes for different clusters.

Module 2:

Python Primer

Gain an overview of operating systems; use variables in Python; create and manage lists; understand tuples and dictionaries in Python; delve into Boolean and conditional variables; expand your knowledge of functions, and work on code manipulation.

Module 5:

Prescriptive Analytics

Build your knowledge of linear programming by tackling problems of optimisation, production planning, and capital budgeting; identify constraints and the optimal solution; model business problems as linear programmes; learn tricks of the trade.

Module 3:

Descriptive Analytics

Evaluate data for business decisions; estimate statistics of a data set and maximum likelihood; learn detection and quantification of correlation; understand outliers and linear regression, and discover how these concepts are used in real-life applications.

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Case studies

The case studies and industry examples featured throughout the programme provide a wide-ranging look at how companies, organisations, and governments are applying analytics techniques to solve business problems.

Netflix

Using nearest neighbour methods in recommendation engines for TV shows and movies.

Facebook

Open-sourcing Torchnet to accelerate AI research.

Microsoft Using and sharing a deep learning toolkit to increase advances in AI.

Microsoft

Using and sharing a deep learning toolkit to increase advances in AI.

Hewlett Packard Using an optimisation-based solution to improve the variety of product offerings.

Hewlett Packard

Using an optimisation-based solution to improve the variety of product offerings.

Union Airways Using discrete optimisation models for employee scheduling.

Union Airways

Using discrete optimisation models for employee scheduling.

Pandora

Using nearest neighbour methods in recommendation engines for music.

Kearns & Associates Using discrete optimisation models in construction.

Kearns & Associates

Using discrete optimisation models in construction.

New Bedford Steel Company Using optimisation models to lower transportation costs in coal acquisition.

New Bedford Steel Company

Using optimisation models to lower transportation costs in coal acquisition.

Security Industry

Using nearest neighbour methods to improve facial recognition in the security industry.

American Red Cross

Optimising blood processing to decrease cost per donation.

Memorial Sloan-Kettering Cancer Center Using optimisation models to improve treatment of prostate cancer.

Memorial Sloan-Kettering Cancer Center

Using optimisation models to improve treatment of prostate cancer.

The Netherlands

Using optimisation techniques to develop new flood protection standards.

Certificate

Certificate

Upon completion of the programme, participants will be awarded a verified Digital Certificate by Imperial College Business School Executive Education.

Please note that this programme contributes to earning Associate Alumni status. Visit the Associate Alumni page to find out more.

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The Imperial learning experience

Human

At Imperial College Business School, we create people-centric learning experiences. From conception through to delivery, we are guided by the principle that learning is a creative, personal and above all, human process. Our high quality, crafted learning environments are highly interactive, community-orientated and actively tutored. Our programmes offer an engaging experience designed to facilitate natural learning behaviours.

Real

No compromises. Our online programmes offer the absolute equivalent of our campus-based programmes. They adopt the same rigorous academic standards, are delivered via our world-leading faculty and offer a comparable high-touch approach to the classroom experience.

FAQs

  • How do I know if this programme is right for me?

    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 advisor will follow up with you very shortly.


    Are there any prerequisites for this programme?

    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.


    What is the typical class profile?

    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.


    What other dates will this programme be offered in the future?

    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.

  • How much time is required each week?

    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.



    How will my time be spent?

    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:



    • Engaging with recorded video lectures from faculty
    • Attending webinars and office hours, as per the specific programme schedule
    • Reading or engaging with examples of core topics
    • Completing knowledge checks/quizzes and required activities
    • Engaging in moderated discussion groups with your peers
    • Completing your final project, if required

    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.



    What is it like to learn online with the learning collaborator, Emeritus?

    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.


    How do I interact with other programme participants?

    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.

  • What are the requirements to earn the certificate?

    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.


    What type of certificate will I receive?

    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.


    Can I get the hard copy of the certificate?

    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.


    Do I receive alumni status after completing this programme?

    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.


    How long will I have access to the learning materials?

    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.

  • What equipment or technical requirements are there for this programme?

    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.


    Do I need to be online to access the programme content?

    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.

  • Can I still register if the registration deadline has passed?

    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.


    What is the programme fee and what forms of payment do you accept?

    The programme fee is noted at the top of this programme web page and usually referenced in the programme brochure as well.

    • Flexible payment options are available (see details below as well as at the top of this programme web page next to FEE).
    • Tuition assistance is available for participants who qualify. Please email learner.success@emeritus.org.

    What if I don’t have a credit card? Is there another method of payment accepted?

    Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your programme advisor or email us for details.


    I was not able to use the discount code provided. Can you help?

    Yes! Please email us with the details of the programme you are interested in, and we will assist you.


    How can I obtain an invoice for payment?

    Please email us your invoicing requirements and the specific programme you’re interested in enrolling in.


    Is there an option to make flexible payments for this programme?

    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.


    How can I obtain a W9 form?

    Please connect with us via email for assistance.


    Who will be collecting the payment for the programme?

    Emeritus collects all programme payments, provides learner enrollment and programme support, and manages learning platform services.

  • What is the programme refund and deferral policy?

    For the programme refund and deferral policy, please click the link here.

Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Academic Advisors or call us at +44 208 629 1765 (UK) / +1 315 509 2976 (US) / +65 3138 2451 (SG)

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Flexible payment options available. Learn more.