Units

This course introduces the knowledge and practical skills required to transform built environments into spaces that support thriving ecological, social, and economic systems. You will explore eco-design principles and regenerative strategie…

In this course, you will develop the skills to design ethical and resilient supply chains aligned with sustainability goals. You will learn to create logistics systems capable of adapting to disruptions such as climate change, pandemics, an…

This course focuses on building entrepreneurial mindsets and capabilities that embed regenerative practices for sustained positive impact. Focused on problem-solution fit, this course helps you to build a validated solution that is repeatab…

This course explores how urban play and place-based knowledges create experiences of regenerative social imaginaries. You will engage in collective and speculative design processes, learning how creative place keeping practices connect Indi…

You will learn to collect, analyse and interpret business data to support evidence-based decisions in areas such as accounting, finance, management and marketing, and to clearly communicate your findings. Statistical techniques are introduc…

In this unit, you will learn how to analyse and interpret data to support evidence-based decision-making in business and economics. You will explore methods for summarising data, including tables, charts, and measures of central tendency an…

This unit introduces principles and techniques for exploring different types of data. You will learn concepts and practice in taking "data from the wild", reading different formats, tidying and wrangling it into shape for analysis, and crea…

This unit introduces you to the empirical analysis of relationships between economic variables. The approach is based on linear regression theory, and emphasises 'hands on' data analysis. Topics studied will include properties of least squa…

This unit presents data analysis, statistical modelling and decision-making in the presence of uncertainty, using a computational approach. You will use different frameworks of probability that are helpful for analysing real-world problems.…

This unit will introduce you to basic financial and stochastic techniques used in actuarial work, and will give an overview of some of the areas in which actuaries are currently involved. You will be introduced to the basic concepts involve…

This unit introduces you to mathematical techniques that are widely used in the disciplines of economics, econometrics, finance and actuarial science. Topics covered include matrix algebra, sets, sequences and functions, multivariate calcul…

An introduction to probability and statistical inference for use in economics and business. Topics covered include random variables, moments and cumulants generating function, discrete and continuous distributions, independence, jointly dis…

This unit aims to provide an introduction of several important mathematical and statistical techniques that are of particular relevance to actuarial work. It covers the topics of exploratory data analysis, linear regression, generalised lin…

This unit develops your ability to model multi-dimensional data using statistical and machine learning techniques. Topics covered include: dimension reduction with linear and nonlinear methods; supervised learning such as discriminant analy…

This unit provides a formal treatment of the core principles underlying econometric and statistical analysis, with particular focus given to likelihood-based inference. Topics covered include the likelihood principle and maximum likelihood…

This unit presents econometric models and techniques that are widely used in modern applied econometrics. Emphasis is placed on models that address the special problems that arise when analysing microeconomic data, that is, data at the leve…

To provide a grounding in the mathematics and statistics of short term insurance risk.

Financial Mathematics under uncertainty will cover the topics of Markov chain, Markov process, survival models, mortality estimation, graduation, censoring, mortality projection, and machine learning applications.

This unit provides an introduction to modern time series methods. The topics covered include a review of stationary, univariate ARMA models, stochastic and deterministic trends, testing for unit roots, vector auto regressions, multivariate…

This unit provides an introduction to the field of financial econometrics which draws on ideas and methods from finance, economics, probability, statistics and applied mathematics, and uses them to explain the complex world of finance and f…

This unit will introduce you to the basic theories of financial market behaviour, modelling of investment risk, interest rate models and option pricing models. You will be introduced to the mathematical and statistical foundations of financ…

This unit covers: valuation of cash flows contingent on death or survival using mortality tables, insurance policies with constant or variable benefit, and with-profits contracts. Also covered are pricing assessments and reserving calculati…

Business and economic data are collected over time against a backdrop of a changing environment. This unit introduces data wrangling and exploratory data analysis for such temporal context data. You will learn how to analyse, model and fore…

This unit covers the methods and practice of statistical machine learning for modern data analysis problems. You will take a deep look at the procedure of learning from data with particular focus placed on how to effectively learn model par…

This unit introduces extensions of linear regression models for handling a wide variety of data analysis problems. Three extensions will be considered: generalised linear models for handling counts and binary data; mixed-effect models for h…

This unit covers the subject material required for Actuaries Institute subject Part IIA The Actuarial Control Cycle. You'll be introduced to the concept of the Actuarial Control Cycle and how it can be applied in practical commercial situat…

This unit covers some of the subject material required for Actuaries Institute Part II subject on The Actuarial Control Cycle. You are introduced to applications of the Actuarial Control Cycle in a wide range of insurance and related areas,…

This unit develops your ability to model multi-dimensional data using statistical and machine learning techniques. Topics covered include: dimension reduction with linear and nonlinear methods; supervised learning such as discriminant analy…

To provide a further grounding in the mathematics and statistics of short term insurance risk.

Financial Mathematics under uncertainty will cover the topics of Markov chain, Markov process, survival models, mortality estimation, graduation, censoring, mortality projection, and machine learning applications.