Complete all core subjects.

Foundations of Data Analytics
In today’s data-driven world, a strong understanding of mathematics, probability and statistics is essential for making informed business decisions. This subject introduces you to these foundational concepts, blending theory with practical exercises to build confidence and prepare you for advanced analytics topics.

Analytics for Business Decisions
Smart business decisions don’t come easy. But they’re what separate thriving businesses from the rest. This subject equips you with tools to navigate complex business environments, mitigate cognitive biases and make better decisions through structured models and evidence-based approaches.

Data Visualisation for Analytics
Data visualisation transforms complex datasets into powerful and compelling stories. In this subject, you will master the art and science of visual storytelling by using industry-standard tools to communicate insights effectively.

AI and Ethics in Analytics
Artificial Intelligence (AI) is reshaping business analytics, but its use comes with ethical responsibilities. This subject reviews key AI concepts (such as machine learning, neural networks and predictive analytics) alongside key ethical frameworks, preparing you to implement AI responsibly in business contexts.

Data Platforms for Analytics
In a tech-driven world, effective decision-making is shaped by reliable data. This subject teaches you how to design and implement data warehouses that power business insights, with a focus on cloud computing, data curation and CRM-oriented systems.

Programming for Analytics
In this subject you will discover the essentials of programming. Using an intuitive high-level language, you’ll learn about variables, conditionals, functions, loops and how to design simple algorithms. Topics will be brought to life through practical, real-world examples, helping you build confidence even if you’re completely new to programming.

Modelling and Predictive Analytics
Statistical modelling and prediction are used across many areas, from marketing and finance to human resources. This subject gives you the foundational skills to make sense of complex data and use it to support smart business decisions. Through real-world case studies and industry examples, you’ll learn a range of techniques, such as traditional regression, time-series analysis, multivariate models and contemporary approaches that use historical data.

Advanced Business Analytics: Machine Learning
With growth of data online, there’s an essential need for businesses to find patterns and make sense of new information quickly. Machine learning gives us tools to do this automatically, helping us understand processes better and even predict future outcomes. In this subject, you’ll get introduced to key techniques like neural networks, support-vector machines, clustering and ensemble methods such as bagging, boosting and random forests. You’ll also get hands-on experience applying and evaluating these tools in real-world business scenarios.

Select two subjects from the list below.

Finance
This subject addresses the foundations of valuation and financial management. Concepts addressed are relevant for a variety of organisations, as well as for personal financial planning and investments.

Marketing
To be successful, organisations need to recognise, create, grow and protect market-based assets that influence demand. This subject focuses on the challenges organisations face in managing demand and how to address those challenges with optimal demand-side strategies.

Operations
In fiercely competitive global and dynamic environments, organisations face increasing pressures to exceed stakeholder expectations across measures such as sustainability, social responsibility, cost, quality, flexibility and innovativeness. This subject addresses the analysis, design, management and continuous improvement of business processes. It covers core operations concepts essential for leveraging an organisation’s capabilities to achieve sustainable competitive advantage.

Managing People
Effective management of individuals, teams and organisations requires an understanding of human behaviour. This subject examines human behaviour at the individual, group and organisational levels through a business lens. This subject assists students to better manage themselves, and better manage and lead other people, groups and organisations.

Managerial Economics
Economics is relevant to everything an organisation does, from its operations and performance to its interactions with stakeholders and society more broadly. This subject addresses fundamental economic concepts and analytical skills, providing students with the tools of economic reasoning necessary for developing and evaluating strategic business options and making better decisions.

Leading Sustainability with Data and AI
This subject emphasises an evidence-based perspective by applying data analytics and artificial intelligence tools to improve decision-making on sustainability issues. You will gain a better understanding of how data analytics and AI can shed light on sustainability challenges.

Strategic Pricing and Business Insights
On-campus only, Pre-requisite: Marketing
Better understand the pricing process and design effective pricing strategies. It will cover the fundamental theories, conceptual frameworks, and analytical tools for formulating pricing strategies. You will gain insights into successful pricing strategies in various industries and know how to improve a firm’s pricing decision through price customisation and price structure.

Human Resource Analytics
On-campus only, Pre-requisite: Managing People
Gain quantitative and qualitative analytical skills necessary to analyse HR data effectively to inform decisions in human resource management. You will also explore the integration of cutting-edge technologies, such as artificial intelligence (AI) and machine learning, in various HR and people management areas, including recruitment, professional development, performance evaluation, compensation, and succession planning.

Gen AI for Business
On-campus only
Run by leading academics and industry experts, the program covers the innovative applications of generative AI that can drive strategic growth and maintain a competitive advantage. This program can be customised to suit your organisation, ensuring long-lasting change, engagement and impact.

Please note: For Flex stream electives, you may choose any subject available at that point in time from the subjects listed. Electives may be subject to change.

Complete both subjects.

Finance
This subject addresses the foundations of valuation and financial management. Concepts addressed are relevant for a variety of organisations, as well as for personal financial planning and investments.

Applied Investment Analytics
Effective risk management is critical for organisational resilience. This subject equips you with the analytical tools and techniques to identify, assess and manage financial risk using real-world data and contemporary analytics methods.

This stream is planned for future intakes, subject to approval and availability.

Complete both subjects.

Marketing
To be successful, organisations need to recognise, create, grow and protect market-based assets that influence demand. This subject focuses on the challenges organisations face in managing demand and how to address those challenges with optimal demand-side strategies.

Applied Marketing Analytics
This subject gives you hands-on experience with marketing analytics, using technology and data to make smarter business decisions. Through real-world case studies and practical exercises, you’ll develop the skills to analyse customer and market data, solve complex marketing challenges and influence key outcomes like customer satisfaction, brand loyalty and word-of-mouth referrals.

This stream is planned for future intakes, subject to approval and availability.

Complete both subjects.

Operations
In fiercely competitive global and dynamic environments, organisations face increasing pressures to exceed stakeholder expectations across measures such as sustainability, social responsibility, cost, quality, flexibility and innovativeness. This subject addresses the analysis, design, management and continuous improvement of business processes. It covers core operations concepts essential for leveraging an organisation’s capabilities to achieve sustainable competitive advantage.

Applied Supply Chain Analytics
Get ready to turn supply chain challenges into smart solutions. This subject gives you practical experience in using mathematical modelling and analytics to optimise logistics and supply chain operations. You’ll learn how to analyse and make decisions at strategic, tactical and operational levels by covering areas like inventory management, facility location and logistics planning.

This stream is planned for future intakes, subject to approval and availability.

You will complete one of the capstone subjects below.

To qualify for a capstone subject in a specific stream, you must complete the two relevant subjects in that stream.

Applied Business Analytics Project
This subject gives you hands-on experience in solving real business problems with practical analytics solutions through a collaborative group project.

Marketing Analytics Project
This subject gives you hands-on experience in solving real marketing business problems with practical analytics solutions through a collaborative team project.

Investment Analytics Project
In this capstone subject, you’ll work in teams to build an investment portfolio using a variety of analytics algorithms commonly used in the finance industry. You’ll gain hands-on experience applying real-world tools to analyse financial data, identify market patterns and make informed investment decisions.

You’ll explore algorithms such as:

• Fundamental analysis: Evaluate the underlying value of securities using financial and economic data.
• Technical analysis: Identify trends and patterns from market price and volume data that may indicate future price movements.
• Quantitative analysis: Use statistical models and machine learning to predict market movements.
• Arbitrage: Use price discrepancies between different markets or securities to generate profits.
• Trend following: Generate trading signals based on historical price trends.
• Mean reversion: Identify securities likely to return to historical price ranges.
• High-frequency trading: Execute rapid trades to take advantage of small market discrepancies.
• Sentiment analysis: Analyse news and social media to gauge investor and market sentiment.
• Portfolio optimisation: Use models to optimise the allocation of portfolio assets based on risk and return objectives.

Supply Chain Analytics Project
This subject gives you hands-on experience in modelling and implementing optimisation solutions through a collaborative team project. 

The program launches with the Flex Stream. Additional streams of study are planned and will be introduced progressively, subject to approval and availability.