GO UNIVERSITY  Ghana/Global 2016/17/18/19

BSc (Hons) Actuarial Maths Degree Course - 3 Years

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Overview

The Actuarial Mathematics programme is designed to prepare you for a career as an actuary, combining financial and actuarial mathematics with statistical techniques and business topics.

Actuaries use mathematical, statistical, financial and economic theory to solve real business problems, typically involving risk, uncertainty and the financial impact of undesirable events. There is an increasing demand for actuaries in both the private and public sector, working within a variety of areas such as banking, investment management, consultancy, manufacturing, transport, insurance and pensions.

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Course Content

This course provides detailed knowledge and understanding of the mathematical and statistical tools relevant to all areas of financial and actuarial mathematics, including stochastic processes, statistics of insurance, survival and risk theory, as well as the mathematical theories underlying these areas. You will gain an appreciation of the interdisciplinary nature of actuarial science and develop a high level of analytical and problem solving skills, in statistical analysis, numerical techniques, and computer applications.

In the first year of the course you will study key topics in mathematics, finance, economics and accounting, including probability, statistics, and the mathematics of financial and insurance markets. In the second year there are core modules in financial mathematics, statistical methods, and business finance. In the final year there are further core modules in actuarial mathematics, financial modelling and statistics, and a wide range of optional modules in mathematics, statistics, finance, and economics.

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Course Structure

Year 1

Compulsory modules

• Introductory Financial Accounting 10 credits

• Introductory Management Accounting 10 credits

• Economic Theory and Applications 1 20 credits

• Calculus and Mathematical Analysis 10 credits

• Numbers and Vectors 10 credits

• Linear Algebra with Applications 15 credits

• Modelling with Differential Equations 10 credits

• Financial Mathematics 1 15 credits

• Probability and Statistics I 10 credits

• Probability and Statistics II 10 credits

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• Year 2

Compulsory modules

• Intermediate Microeconomics 10 credits

• Intermediate Financial Accounting 20 credits

• Intermediate Macroeconomics 10 credits

• Financial Mathematics 2 10 credits

• Financial Mathematics 3 10 credits

• Statistical Methods 10 credits

• Introduction to Markov Processes 10 credits

• Survival Analysis 10 credits

Optional modules

• Numerical Analysis 10 credits

• Maths at Work 10 credits

• Analysis 15 credits

• Further Linear Algebra 10 credits

• Introduction to Discrete Mathematics 10 credits

• Vector Calculus 15 credits

• Nonlinear Differential Equations 10 credits

• Numerical Analysis with Computation 15 credits

• Statistical Modelling 10 credits

• Environmental Statistics 10 credits

• Computational Mathematics 10 credits

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Year 3

Compulsory modules

• Project in Mathematics 20 credits

• Actuarial Mathematics 1 15 credits

• Actuarial Mathematics 2 15 credits

• Stochastic Financial Modelling 15 credits

• Time Series 10 credits

Optional modules

• Intermediate Management Accounting 20 credits

• International Banking and Finance 10 credits

• Advanced Accounting Theory 20 credits

• Introduction to Clinical Trials 15 credits

• Advanced Microeconomics 10 credits

• Transnational Corporations in the World Economy 10 credits

• Economic Development 20 credits

• Economics of Famines 20 credits

• Environmental Economics 10 credits

• Public Enterprise and Regulation 10 credits

• Advanced Macroeconomics 10 credits

• Auditing and Information Systems 10 credits

• Principles of Taxation 20 credits

• The Economics of Unions 10 credits

• Corporate Governance 10 credits

• Economics of Business and Corporate Strategy 20 credits

• Analysis 15 credits

• Further Linear Algebra 10 credits

• Introduction to Discrete Mathematics 10 credits

• Vector Calculus 15 credits

• Linear Differential Equations and Transforms 15 credits

• Nonlinear Differential Equations 10 credits

• Numerical Analysis 10 credits

• Numerical Analysis with Computation 15 credits

• Statistical Modelling 10 credits

• Environmental Statistics 10 credits

• Computational Mathematics 10 credits

• Analytic Solutions of Partial Differential Equations 15 credits

• Numerical Methods 10 credits

• Modern Numerical Methods 15 credits

• Linear Regression and Robustness 15 credits

• Statistical Theory 15 credits

• Multivariate Analysis 10 credits

• Bayesian Statistics 10 credits

• Generalised Linear Models 10 credits

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• More information on modules at courses catalogue after your enrollment.

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• Learning and teaching

• You’ll be taught through lectures, tutorials, workshops and practical classes. You’ll enjoy extensive tutorial support and have freedom in your workload and options.

• Read more about teaching and assessment on the School website.

• Assessment

• You’re assessed by a range of methods, including formal exams and in-course assessment.

• Read more about teaching and assessment on the School website.

 

 

 

 

 

 

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