In your final module, you’ll focus on data optimization for business applications and machine learning alongside leadership and influence skills, before applying everything you’ve learned in your final Business Challenge.
Core Course
Influencing Others
Influencing people is key to reaching shared understandings and goals in business. In Influencing Others, you will learn how to use influencing and persuasion tools to enable you to change people’s viewpoints and behaviours, helping you to maximise your impact in a variety of organizational contexts. Crucially, you will learn how to apply your skills to situations where you either do not have or cannot rely on formal positions of authority.
Key topics & skills
Persuasive Communication
Influence Without Authority
Managing Up and Across
Core Course
Business Analysis With Unstructured Data
Gain advanced skills in analyzing unstructured data to extract valuable insights and make informed business decisions. Unstructured data—such as text, images, audio, and video—poses unique challenges and opportunities for organizations. Through a combination of concepts, practical tools, and hands-on exercises, you'll learn the principles and techniques of extracting unstructured data and transforming the data to gain business value.
Key topics & skills
Understanding Unstructured Data
Extracting Unstructured Data: Python and/or R.
Methods for Structuring Unstructured Data.
Text Analytics & Visualization.
Image & Video Analysis
Core Course
Business Modeling & Optimization
In today's age of big data, it's vital to design efficient and scalable algorithms that address wide-ranging optimization problems. Get an introduction to a variety of optimization theories and applications and connect them to research and applications in large-scale optimization and machine learning.
Key topics & skills
Introduction to Business Models
Linear Programming Models
Advanced Network Design
Non-Linear Models & Business Applications
Simulation
Core Course
Introduction to Machine Learning & AI
As Machine Learning and AI drive transformative advancements across industries, understanding the principles of ML and AI is crucial. Professionals need to harness data-driven insights, automate processes, and create intelligent systems. Using tools available in Python, R, and AI, this course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. You'll gain experience with applying theory to key predictive and descriptive analytics problems in business intelligence.
Key topics & skills
Machine Learning & AI Fundamentals
Applying Machine Learning Algorithms
Design & Analysis of Machine Learning & AI Experiments
Business Applications of Machine Learning & AI
Social & Ethical Issues of Machine Learning and AI
Business Challenge
Business Challenge: Impact
Put all your newly acquired knowledge and skills directly into practice at the end of each block through a practical and relevant business challenge. Teams will draw on the content and themes of previous courses in each block to complete challenges involving simulations, executive pitch presentations, innovation hackathons, real company challenges, designing new business models, etc.
Key Topics & Skills
Cross Functional Strategic Decision Making, Planning & Coordination
Analyzing Real & Simulated Business Cases
Team Leadership & Dynamics
Courses and challenges subject to change
Download Brochure
Download a brochure for an in-depth look at Hult’s master’s programs.