Bachelor of Finance/Bachelor of Statistics
Degree Structure
Typical full-time program pattern with a major in Corporate Finance and Investment Management
| First Semester | Second Semester | |
Year 1 (48 units) | BUSN1001 Business Reporting and Analysis FINM1001 Money Markets and Finance MATH1013 Mathematics and Applications 1 OR MATH1115 Mathematics and Applications 1 Honours COMP1100 Introduction to Programming and Algorithms | STAT1008 Quantiative Research Methods FINM2001 Corporate Finance MATH1014 Mathematics and Applications 2 OR MATH1116 Mathematics and Applications 2 Honours STAT2001 Introductory Mathematical Statistics |
Year 2 (48 units) | ECON1101 Microeonomics 1 STAT2008 Regression Modelling STAT2032 Financial Mathematics FINM3001 Investments | ECON1102 Macroeconomics 1 FINM2002 Financial Instruments and Risk Management STAT3011 Graphical Data Analysis BStat Pre-requisite Course (6 units) |
Year 3 (48 units) | ECON2101 Microeconomics 2 STAT3012 Design of Experiements and Surveys BStat Specialisation Course (6 units) Elective (6 units) | STAT3015 Generalised Linear Modelling FINM3002 International Financial Management MATH3512 Matrix Computations and Optimisation BStat Specialisation Course (6 units) |
Year 4 (48 units) | BStat Specialisation Course (6 units) Finance Related Course (6 units) Elective (6 units) Elective (6 units) | STAT3013 Statistical Inference FINM3005 Corporate Valuation BStat Specialisation Course (6 units) Quantitative Course (6 units) |
- Finance related course - at least one of the following courses must be taken: MGMT3015 Corporate Strategy, ECON3006/3016 Financial Economics [(P) or (H)], BUSI2025 International Business, ECON2102/2112 Macroeconomics 2 [(P) or (H)], ECON2026 Money and Banking.
- Quantitative course - at least one of the following courses must be taken: EMET3007 Business and Economic Forecasting, EMET2008 Econometric Modelling, STAT3015 Generalised Linear Modelling, STAT3011 Graphical Data Analysis.
- At least one of the courses FINM3005 Corporate Valuation and FINM3006 Fixed Income must be completed.
- At least one BStat specialisation from Schedule A must be completed
Typical full-time program pattern with a major in Quantitative Finance
| First Semester | Second Semester | |
Year 1 (48 units) | BUSN1001 Business Reporting and Analysis FINM1001 Money Markets and Finance MATH1013 Mathematics and Applications 1 OR MATH1115 Mathematics and Applications 1 Honours COMP1100 Introduction to Programming and Algorithms | STAT1008 Quantiative Research Methods FINM2001 Corporate Finance MATH1014 Mathematics and Applications 2 OR MATH1116 Mathematics and Applications 2 Honours STAT2001 Introductory Mathematical Statistics |
Year 2 (48 units) | ECON1101 Microeonomics 1 STAT2008 Regression Modelling STAT2032 Financial Mathematics Elective (6 units) | ECON1102 Macroeconomics 1 FINM2002 Financial Instruments and Risk Management STAT3011 Graphical Data Analysis BStat Pre-requisite Course (6 units) |
Year 3 (48 units) | ECON2101 Microeconomics 2 STAT3004 Stochastic Modelling STAT3012 Design of Experiements and Surveys BStat Specialisation Course (6 units) | STAT3015 Generalised Linear Modelling STAT3013 Statistical Inference MATH3512 Matrix Computations and Optimisation BStat Specialisation Course (6 units) |
Year 4 (48 units) | FINM3003 Continuous Time Finance BStat Specialisation Course (6 units) Finance Related Course (6 units) Elective (6 units) | FINM3007 Advanced Derivatives, Pricing and Applications BStat Specialisation Course (6 units) Elective (6 units) Elective (6 units) |
- Finance related course - at least one of the following courses must be taken: MGMT3015 Corporate Strategy, ECON3006/3016 Financial Economics [(P) or (H)], BUSI2025 International Business, ECON2102/2112 Macroeconomics 2 [(P) or (H)], ECON2026 Money and Banking.
- At least one BStat specialisation from Schedule A must be completed
The information published on the Study at ANU 2009 website applies to the 2009 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2008 website.
