Saïd Business School, University of Oxford

Data Analytics
for Business
Programme

Learn how to start a data-driven revolution.

Apply now to be among the first to receive notification when dates are announced.

Saïd Business School, University of Oxford

Data Analytics
for Business
Programme

Learn how to start a data-driven revolution.

Apply now to be among the first to receive notification when dates are announced.

Saïd Business School, University of Oxford

Data Analytics
for Business
Programme

Learn how to start a data-driven revolution.

Time Commitment:
6 Weeks, 7-10 hours per week

Location:
Collaborative Online Learning

Date:
TBD

Why Study Data Analytics
for Business?


Today’s organisations excel at soaking up data, but many struggle to mine it for business intelligence that improves decision-making and leads to revenue opportunities. Data analytics invariably involves cutting-edge technologies like AI, and failure to utilise it can have calamitous effects: McKinsey estimates that immediate deployment of AI will double company cash flow by 2030, while stragglers will experience a 20% decline. Data analytics initiatives begin with the four Vs of big data (volume, variety, velocity, veracity) and pass through the gauntlet of predictive analytics and neural networks to prescriptive analytics, where they must merge with business outcomes. To ensure a smooth journey, leaders must get buy-in from key stakeholders throughout the organisation and foster a data-driven culture, where everything from product development, sales and marketing, and the customer experience to the supply chain and employee training is driven by quantifiable insights. The challenge is real, but so are the results: highly data-driven organisations are three times more likely than others to say their data and analytics initiatives have contributed at least 20 percent to earnings before interest and taxes (McKinsey).

This six-week online programme, at the world-renowned University of Oxford, equips business leaders and managers with the tools to bring data and analytics to the forefront of their organisations. It prepares data innovators to architect a company-wide data analytics infrastructure that develops teams of data scientists and analytics engineers and redesigns workflows to establish data-quality principles, policies and practices. The programme also shows business leaders how to approach critical AI considerations on ethics, biases and risks, as well as navigate ever-present realities of evolving data privacy and regulatory compliance. Ultimately, the programme reveals how, in a world of rapid digital transformation, strong leadership, strategic insights – and clean datasets – are the ingredients for turning data ROT (redundant, obsolete, trivial) into ROI (return-on-investment).

 

Is This Programme Right for You?


This programme is for business leaders that want to stay ahead of the competition with cutting-edge data analytics operations. In the programme, managers and innovators will learn how to clean, govern and steward data, in order to apply next-gen AI tools that yield business insights. The programme will appeal to executives looking to use data more effectively in their strategic decision-making processes and to government officials eager to use data and dashboards to explain complex issues in simple terms to wide audiences. Innovators and entrepreneurs interested in bringing advanced technologies and analytics to their organisations or developing their own data analytics operations also stand to benefit from the programme.

What You Will Learn


  • Understanding of how to collect, clean and summarise data.
  • Tools for how directly connecting data strategy and data visualisation to business outcomes.
  • Tools for using big data and AI to run regressions, isolate trends and detect outliers.
  • Road map for launching an actionable data-driven solution in your organisation.

Future dates for this programme are to be confirmed.

The Esme Way


Collaborative AI-enhanced learning

We teach executives as they work — in cross-functional teams. Learners participate in interactive simulations and team projects which reinforce applied learning and enhance collaboration and complex problem-solving skills. If you are looking for an individually-paced programme, this programme is not for you.