Data Science for Business (Digital4Business)

This Data Science for Business module teaches innovative strategies for data interpretation and extracting insights. It covers advanced data science methods and algorithms, encouraging creative problem-solving and model optimisation crucial for digital transformation. Students will learn to analyse data comprehensively using statistical and machine learning techniques, gaining skills to synthesise insights for informed decision-making and clear communication.

The curriculum also focuses on designing and evaluating advanced visualisations and business intelligence tools, equipping students with the ability to convey complex data insights effectively. These skills are essential for enhancing model performance and driving business innovation and success.

Key Details

This Data Science for Business module is delivered entirely online, using innovative hybrid learning methods that combine live (synchronous) and self-paced (asynchronous) activities. Expert tutors guide students through the material, ensuring a comprehensive learning experience. Activities include live lectures, individual study, and hands-on lab sessions.

Key teaching strategies include problem-based learning, gamification and flipped classroom techniques. By leveraging emerging technologies like artificial intelligence, the module aims to enhance the learning experience and keep pace with cutting-edge educational research and methods. The module uses ongoing and final assessments to measure progress, including exams, assignments, and projects. The project (50%) applies Data Science to business problems, and a final test (50%) checks overall learning.

• Classroom and demonstrations: 36 hours
• Practical work/tutorials: 36 hours
• Independent learning: 178 hours
• Total: 250 hours
• Credit points: 10 ECTS

Learning objectives

This module is integral to digital transformation, teaching students to harness data science concepts, theories, and practices to solve real-world business challenges. By the end of the course, you’ll not only grasp the essential concepts but also be ready to lead innovative changes in the digital era. Here’s what you’ll achieve:

• Evaluate and integrate data science principles to solve real-world business challenges, demonstrating creativity in data interpretation and insight extraction. (Transferable Skill: Critical Thinking)
• Apply advanced data science methods and algorithms to develop and optimise models that address complex business problems. (Transferable Skill: Problem Solving)
  Synthesise insights using statistical and machine learning techniques to make informed decisions, effectively communicating results to diverse audiences. (Transferable Skill: Communication)
• Design and assess advanced visualisations, dashboards, and BI tools to deliver actionable insights and enhance business decision-making. (Transferable Skill: Service Orientation)
• Collaborate within teams to design and implement data-driven solutions, fostering teamwork and adaptability. (Transferable Skill: Team Competence)

Subjects covered

Data Science for Business is a 10 ECTS module delivered over 5 hours per week for 12 weeks. An indicative schedule of topics to be addressed each week is outlined below:

• Introduction to Data Science
• Python for Data Science
• Data Collection and APIs
• Databases and Data Warehousing
• Data Pre-processing and Cleaning
• Exploratory Data Analysis
• Statistical Analysis and Modelling
• Machine Learning
• Advanced Machine Learning Methods
• Business Intelligence and Analytics
• Data Visualisation and Dashboards
• Ethics, Bias and Privacy in Data Science and Major Trends in ML and DS