Programme Overview

Exploring the Frontiers of AI and Data Science for Tangible Business Impact

Since the advent of artificial intelligence, data science and AI have forged a formidable working relationship in the industry. With the entrance of witty innovations including computer vision and natural language processing, this has equipped market players with powerful tools to transform industries, alter corporate strategies, and revolutionise day-to-day operations. Data science has changed the total trajectory of business globally from the optimisation of business procedures to data-driven decision-making and predictive analytics. These advances in AI and data science have led to a global proliferation of transformative technologies across various industries and sectors including finance, banking, healthcare, sales, marketing, manufacturing, engineering, hospitality, transport, and logistics. As a result, organisations are working tirelessly to glean valuable insights from the deluge of data to make more informed business decisions. With the SCHSBM’s Applied AI and Data Science programme, you will discover the true value of data and develop specialised knowledge in AI and data science by becoming adept in big data machine learning and sophisticated modeling. The programme will take a deep dive into applied AI and data science, focusing on the theory and real-world applications of supervised and unsupervised learning, computer vision, neural networks, time-series analysis, and other exciting AI and data science applications. Through the support of expert faculty, you will develop the practical skills needed to apply AI and data science techniques to solve real-world problems. Additionally, you will learn how to create machine learning and deep learning models and user-friendly dashboards to convey the findings and results of your data.

This programme adopts a cross-disciplinary approach to business, endowing you with practical knowledge and skills in artificial intelligence, data science, analytics, deep learning and machine learning to address common data-related problems analytically. Through hands-on training, you will experience the full data science supply chain including data collection, processing, analysis, visualisation, prediction, and how to generate insights from different types of data. Designed for professionals across various industries, this programme encourages you to bring your diverse business challenges to the forefront and discover cutting-edge data science-driven solutions to address these challenges.

This programme will allow you to:

• Discover the transformative power of data.
• Discuss the strategic impact of generative AI and data science.
• Demonstrate a foundational understanding of data science tools, processes, and models.
• Evaluate applicable methodologies in data analytics for business, AI, and data science.
• Leverage AI and data science to create value for your organisation.
• Develop your proficiency in the use of programming languages including Python, R and SQL.
• Apply advanced data skills to real-world projects.
• Prepare data for machine learning projects.
• Create machine learning and AI models.
• Train your machine learning models on big data in the cloud.
• Extract meaningful data insights by interpreting statistical results.
• Solve complex business challenges using AI and machine learning tools.
• Create a data-driven framework for your organisation.
• Make your organisation AI-ready.

Programme Curriculum

• AI and Data Science in a Big Data World
  • Introduction to AI and Data Science
  • Benefits and Uses of AI, Data Science and Big Data
  • The Big Data Ecosystem and Data Science
  • Structured and Unstructured Data
  • Programming Fundamentals for Data Science
  • Statistics Fundamentals for Data Science
• Exploratory Data Analysis and the Data Science Process
  • Statistical Inference
  • Data Cleaning and Preparation
  • Statistical Testing
  • Data Visualisation
• Databases and Application Programming Interfaces (APIs)
  • Relational and Non-Relational Databases
  • SQL
  • APIs
• Machine Learning – Supervised Learning
  • Logistic Regression
  • Evaluating Classification Models
  • Support Vector Machines
  • Bayesian Inference
• Machine Learning – Unsupervised Learning
  • K-means Clustering
  • Principal Components Analysis
  • Research and Documentation Training
  • Recommendation Systems
• Deploying Machine Learning and Cloud Computing
  • Introduction to Cloud Computing
  • Deployment of Machine Learning Models
  • Cluster Computing
  • Streaming Data
  • Storytelling Training
• Decision Trees and Ensembles
  • Decision Trees
  • Random Forests
  • Bias and Variance
  • Bagging
  • Boosting
  • Stacking
• Artificial Intelligence and Deep Learning
  • Demystifying Generative AI
  • Reinforcement Learning
  • Deep Feedforward Neural Networks
  • Recurrent Neural Networks
  • Convolutional Neural Networks
• Natural Language Processing and Speech Recognition
  • Web Scraping
  • Text Pre-processing
  • Sentiment Analysis
  • Text Classification
  • Speech Cognition
• Computer Vision and Robotics
  • Computer Vision
  • Robotics and Reinforcement Learning
  • Visual Cognition
• Applications of AI in Business
  • Applications across Functional Areas
  • Large Language Models (LLMs)
  • ChatGPT and Generative AI
  • Practical Cross-industry AI Implementation
  • Designing Data- and AI-driven Organisations
• Responsible Design of Deep-learning based AI
  • Responsible AI
  • Human-centred AI
• Data Security and Privacy
  • Data Security and Privacy Issues Related to Data Mining and Storage
  • The Legal, Social, and Ethical Challenges Associated with Deploying AI

Programme Assessment

Individual Capstone Project in Applied AI – Apply the skills you have learned throughout this programme with the Applied AI and Data Science Project. Using a variety of AI and data science tools and techniques, you will work in groups to solve an industry-specific problem.

How will you learn?

• Hands-on Training – You will gain hands-on exposure to advanced tools and software including AI technologies, Machine Learning, Big Data, R, Python, Natural Language Processing, Deep Learning, and Tableau.

• Real-world Cases – You will develop work-ready skills by analysing real-world AI and data science cases and addressing business challenges.
• Industry Experts – You will learn how to master your AI and data science skills through the support and guidance of expert faculty and experienced AI thought leaders and data scientists who have a wealth of practical experience.

Who should attend?

• C-suite executives and senior leaders with minimal technical expertise in AI and data science seeking a working knowledge of emerging AI technologies and applications and data science tools to integrate within their organisation.
• Mid to senior managers and leaders who work with data and who want to be able to use AI and data science to gain deeper business insights, make data-informed decisions, and create value for their organisation.
• IT and non-IT professionals seeking a greater understanding of data science, analytics, machine learning and artificial intelligence.
• Professionals from non-quantitative backgrounds who work in data-driven business environments and who desire training in AI and data science to transform data into actionable insights.
• Heads of business units and leaders of teams responsible for improving the business performance of their department.