The Business Analytics programme provides you with the tools you need to put data to work: how to set up experiments, how to collect data, how to 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. Participants then implement the frameworks they 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.
This programme is designed for managers across different functions who are interested in implementing analytics projects at their organisation. It provides business managers with the techniques needed to transform their organisation into a data-driven organisation. The assignments and cases in the programme focus on interpreting the results of analysis and taking decisions based on those analysis. The programme will also include demonstration of some advanced analytics tools such as TensorFlow. The programme does not require coding.
How does a hotel booking platform test whether advertising on its website works?
How Netflix used a 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 do they decide which 2 of the 4 promising drugs can be developed further?
How their ORION inititiative allowed UPS to save an estimated $300-$400 million and led to a reduction of 100 million miles driven?
How does a car racing team decide whether to participate in a race or not?
How does SmartService use a decision tree to calculate their bid for a new contract?
What should TalkTalk have done differently after they were hacked? How should they have protected their customers’ data?
University Lecturer in Big Data Analytics & Quantitative Social Science
Academic Director of the Psychometrics Centre
University Lecturer in Operations Management
Director of the MPhil in Strategy, Marketing & Operations Programme
Emeritus follows a unique online model. This model has ensured that nearly 90 percent of our learners complete their course.
Orientation WeekThe first week is orientation week. During this week you will be introduced to the other participants in the class from across the world. You will also learn how to use the learning platform and other learning tools provided.
Goal SettingOn other weeks, you have learning goals set for the week, including watching the video lectures and completing the assignments. All assignments have weekly deadlines.
Recorded Video LecturesThe recorded video lectures are by faculty from the collaborating university.
Live WebinarsDuring the programme, there are four live webinars conducted by Professor Ansari and Dr Munir. Live webinars are usually conducted between 1 p.m. and 3 p.m. UTC on Tuesdays or Wednesdays.
Q&A SessionsIn addition to the live webinars, Course Leaders also conduct Q&A sessions every week or every alternate week to help participants clarify any questions they may have regarding the programme content.
Follow-UpA Programme Support Team will follow-up through emails and via phone calls with participants who are unable to submit their assignments on time.
Continued Programme AccessYou will continue to have access to the programme videos and learning material for up to 12 months from the programme start date
Emeritus Programme Support Team
If at any point in the course you need tech, content or academic support, you can email programme support and you will typically receive a response within 24 working hours or less.
You can access Emeritus courses on tablets, phones and laptops. You will require a high-speed internet connection.
On completing the course you join a global community of 5000+ learners on the Emeritus Network. The Network allows you to connect with Emeritus past participants across the world.