• Program Duration

    12 weeks
  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    Oxford Saïd credential

    Earn a certificate of completion from Saïd Business School, University of Oxford

    Earn a certificate of completion from Saïd Business School, University of Oxford

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    Expert academic lead

    Learn from Dr Agni Orfanoudaki, a specialist in machine learning and healthcare operations

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    Strategic AI application

    Use descriptive, predictive and prescriptive analytics to guide your organisation

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    Real-world practice

    Apply learning through hands-on case studies to solve real business problems

Corporate Training

Enroll your employees into this program, NOW!

Business Analytics and AI Programme Overview

Designed for senior leaders, this 12-week programme connects business strategy with AI application. You will use tools like Julius AI to interpret analytics, manage organisational risk and make decisions that drive performance without needing to write code.

Key Features

  • Earn a certificate of completion from Saïd Business School, University of Oxford
  • Join the Oxford Saïd Elumni Network and access a network of over 50,000 peers
  • Master a curriculum that blends descriptive, predictive and prescriptive analytics with modern AI tools
  • Experience a curriculum built on the Universal Design for Learning (UDL) framework that prioritises active application over long-form video lectures
  • Experience a flexible learning format designed for working professionals that combines self-paced modules with live faculty interaction
  • Analyse real-world scenarios including the Hartford HealthCare case and the Rialto e-commerce project
  • Develop skills to interpret market data, assess risks and formulate evidence-based strategies
  • Grasp the complexities of deploying AI at scale, covering governance and workforce readiness
  • Learn to engineer effective AI prompts tailored specifically for complex business strategy tasks
  • Acquire the ability to communicate strategy clearly and effectively to various stakeholders using AI-supported formats
  • Study the ethical dimensions of AI to support responsible decision making in your organisation
  • Collaborate with a diverse cohort of experienced professionals from diverse industries and backgrounds

Business Analytics and AI Programme Advantage

This Oxford Saïd programme bridges the gap between leadership and analytics. You will learn to interpret complex data and use generative AI to shape strategy, mitigate organisational risk and drive responsible growth in a global market.

  • Illustrative certificate only

    Oxford Saïd certificate

    • Earn a certificate of completion from Saïd Business School, University of Oxford
    • Join Oxford Saïd Elumni Network, a community of over 50,000 professionals
    • Access a curriculum developed by distinguished Oxford faculty

Business Analytics and AI Programme Details

This 12-week learning journey is meticulously structured into six comprehensive modules, delivered by Saïd Business School faculty, guiding you from analytics fundamentals to strategic AI application.

Learning Path

    • Welcome to the course and overview
    • Using Generative AI ethically and effectively
    • The Development of Business Analytics
    • The Technological Foundations
    • Descriptive Analytics
    • Predictive Analytics
    • Prescriptive Analytics
    • Data Analytics with Generative AI
    • Understanding Different Types of Analytics
    • Sentiment Analysis
    • AI and Business Strategy
    • Integrating Business Analytics into an Organisation
    • Hartford HealthCare: Building a Strategy
    • The Challenges of Integrating AI
    • Using Generative AI to Analyse Data
    • The Opportunities and Risks of Generative AI
    • Human-in-the-Loop Analytics
    • Mitigating the Risks
    • Ethical Considerations for Analysts
    • Scenario: Rialto, a fast-growing e-commerce startup, faces retention and competition issues. Learners act as junior business analysts to propose a data-driven strategic plan.
    • Project Outcome: Develop a 1,200–1,500-word strategic research report with data-backed recommendations.
    • Recap of analytics evolution, AI in healthcare, and ethical AI development.
    • Reflective exercise on the use of Generative AI.

17+ Skills Covered

  • Strategic decisionmaking
  • Prompt engineering
  • Predictive modelling
  • Prescriptive analysis
  • Generative AI application
  • Ethical AI governance
  • Risk mitigation
  • Sentiment analysis
  • Scenario planning
  • Data interpretation
  • Organisational leadership
  • Business intelligence
  • Market entry strategy
  • Humanintheloop AI
  • Stakeholder communication
  • Operational strategy
  • Datadriven reasoning

Case studies

  • Project 1

    Hartford Health Care

    Review how a healthcare network uses AI for nurse scheduling. Assess governance, data quality and integration issues.

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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An Immersive Learning Experience

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Interactive session(s)

Live faculty interaction sessions for real-time guidance and practical insights.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Interactive session(s)
Learning Support

Industry trends

The demand for AI and analytics skills is growing as organisations increasingly rely on data-driven decisions. With global adoption accelerating, leaders who can apply these technologies strategically are in high demand.

Job Icon$3.8tn

Forecasted global AI market size by 2034 driven by finance and healthcare

Source: GGI
Job Icon$196.5bn

Expected business analytics market value by 2033 as firms rely more on data

Source: Data Horizon
Job Icon26%

Expected CAGR of the European AI market through 2031 reflecting adoption

Source: Statista

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    IT & Technology - 35%Banking & Finance - 30%Consulting - 20%Manufacturing - 15%
    Companies
    American Express
    Wells Fargo
    Netflix
    Amazon
    Siemens
    IBM
    Nvidia
    JP Morgan Chase
    Shell
    Microsoft
    LinkedIn
    GS

Admission Details

Eligibility Criteria

This programme is designed for leaders with five or more years in strategy and management

Leaders using data for decisions
Consultants advising on strategy
Managers overseeing AI adoption
  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.