ESEM Executive Courses and Short Programmes
AI and Data Analytics
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AI in Business

Harness the power of data for strategic planning and decision-making.

  • Uncover patterns that drive innovation
  • Master the latest business intelligence techniques
  • Make an instant, visible difference

Duration

Over 1 month
4 days in class

Location

Belgrade

Language

English

Certification

ESEM AI in Business Certificate

Key benefits

  • Leverage data for strategic planning and informed decision-making.
  • Master the latest business intelligence tools and techniques.
  • Identify and uncover patterns that fuel innovation in a data-driven world.
  • Gain the skills to navigate today’s rapidly evolving data landscape.

Programme overview

In today’s data-driven world, organisations must use data effectively to stay competitive. This module focuses on equipping participants with the skills to leverage data for strategic planning and decision-making.

Participants will learn to harness the latest business intelligence tools and techniques, uncover valuable insights from data, and drive innovation in their organisations.

By focusing on both the technical and strategic aspects, the programme ensures a holistic understanding of data analytics for impactful leadership in a data-centric environment.

The Difference - ESEM - business school
A novel, personalised and continuous learning path.

Topics covered

  • Strategic approaches to data analytics
  • Business intelligence tools and techniques
  • Uncovering and interpreting data patterns
  • Data-driven decision-making for leaders
  • Using AI to enhance strategic planning
  • Driving innovation through data insights
  • Ethical considerations in data usage

Who it is for

Managers seeking to deepen their understanding of AI and data analytics. This programme is ideal for experienced managers and leaders aspiring to executive roles or for business owners looking to integrate data-driven strategies into their growth plans.

 

Who you learn from

Marko Bohanec, PhD Jozef Stefan Institute

Computer Programming, Data Mining, Artificial Intelligence, Ecotourism, Decision Analysis, Multicriteria Analysis, Optimization, Decision Making, Decision Science, Decision Support Systems

Boris Delibašić, PhD Faculty of Organisational Sciences, University of Belgrade

Machine Learning, Fairness in Al, Data Warehouses, Business Intelligence, Decision Support Systems, Decision Theory, Multicriteria Analysis

Andrija Petrović, PhD Faculty of Organisational Sciences, University in Belgrade

Mechanical Engineering, Machine Learning

Unique ESEM learning experience

The ESEM method guides you from academic knowledge to practical implementation, by combining three fundamental stages of learning:

  • Hybrid pre-work and pre-reading
  • Dynamic in class activities
  • Practical real-life project work

On this learning path, you are supported by dedicated personal mentoring and by world-class professors and business experts. You will be able to implement your learnings by actively working with your class peers in a dynamic setting and in small group discussions and finally implementing the knowledge in a real-life project, designed to have maximum impact for you and your organisation.

Admissions

The selection process is designed to identify talented professionals from a wide range of academic and business backgrounds.

For entry in the programme you should:

  • Have minimum 4 years of people leadership experience
  • Have good competency in English
  • Hold a university degree

Register for the programme

Apply here