Data Impact

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 Capstone Challenge.

Courses in this module

Filter Courses

Filter Courses

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

Communication & Collaboration 3: Influence & Persuasion

Leverage your new functional knowledge for organizational impact by bringing together elements from the Personal Impact and Teamwork courses. Hone your influence, leadership, and negotiation skills to learn how to effectively and ethically persuade in an organizational context.

Key topics & skills

  • Persuasion

  • Influence Without Authority

  • Managing Up & Across

  • Giving Voice to Values

  • Change Management & Leadership

Core Course

Data Visualization & Analysis

While data is critical for making well-informed decisions, how you present and analyze data to stakeholders can make the difference between a new or improved business model and a missed opportunity. This course covers the design concepts involved in visualizing and analyzing data for decision-makers. You’ll use market-ready tools to perform ETL processes and create storytelling using data visualization tools.

Key topics & skills

  • Use Tableau to Conduct Exploratory Data Analysis Using Visualization

  • Use Knowledge of Perception & Cognition to Evaluate Visualization Design Alternatives

  • Apply Data Transformations for Visualization (Aggregation & Filtering)

  • Identify and Use Domain Specific KPIs Application of Data Visualization in Various Domains

Core Course

Visualizing & Analyzing Data With R: Methods & Tools

Come to grips with the principles and techniques of computer programming using R as well as a variety of numerical and computational problems. You’ll also learn how to program and use R for effective data analysis for large datasets. Explore real examples of practical issues in statistical computing, including programming in R.

Key topics & skills

  • Intro to R, R Environment, Installing Libraries & Loading Packages

  • Basic Objects in R, Different Data Types, Testing & Changing Types, Importing Data into the R Environment

  • Basic Data Mining in R

  • Creating Frequency Histograms, Analyzing Different Distributions, Visualizing Data

Capstone Challenge

Capstone Challenge: Impacting Your Organization Through Machine Learning

Get your team together to analyze and interpret an unsupervised learning problem and discover hidden patterns or data groupings without the need for human intervention. This will require an ability to code unsupervised machine learning algorithms as well as understand the role of statistics and optimization to interpret and communicate results.

Key topics & skills

  • Big Data

  • Machine Learning

  • Optimization

  • Applying Exploratory Analysis

Courses and challenges subject to change

    Download Brochure

    Download a brochure for an in-depth look at Hult’s master’s programs.

    One-to-one Consultation

    Ask Us Anything

    Our international team of advisors are ready to answer your questions so if you’d like to talk to an enrollment director, please enter your details and we’ll be in touch.

    Application Deadline - Round 1

    October 20, 2022

    Priority is given to those who apply by the deadline. Our enrollment team will support and guide you through the entire process.