Graduate Diploma in Commerce |
|---|
| To qualify for the award of the Graduate Diploma in Commerce, a candidate must complete 48 credit points, comprising: |
| (a) 12 credit points of degree core units of study |
| (b) 6 credit points of foundational units of study |
| (c) an additional 30 credit points to make a total of 48 credit points in total in a combination of units selected from: |
| (i) 6 credit points of foundational units of study; and/or |
| (ii) 6 to 18 credit points of degree selective units of study and/or |
| (iii) 6 to 18 credit points of elective units of study. |
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
|---|---|---|
Degree core units of study |
||
| It is recommended that BUSS5220 and BUSS5221 be completed in the first two semesters of study. | ||
| BUSS5220 Responsible Business Mindset |
6 | |
| BUSS5221 Creative and Analytic Mindset |
6 | C BUSS5220 This unit is seen as connecting with and complementary to the Responsible Business Mindset unit, both of which are compulsory for all Master of Commerce students. |
Foundational units of study* |
||
| * Note that foundational units count to both the Foundational units of study for the course and the specialisation for the Master of Commerce | ||
| ACCT5001 Foundation in Accounting |
6 | |
| ECON5040 Foundation in Economics |
6 | N ECON5001 |
| FINC5001 Foundation in Finance |
6 | |
| INFS5002 Foundation in Business Information Systems |
6 | N INFS6001 |
| ITLS5250 Foundation in Global Logistics |
6 | N ITLS5000 or TPTM5001 |
| MKTG5001 Foundation in Marketing |
6 | |
| QBUS5001 Foundation in Data Analytics for Business |
6 | A Students should be capable of reading data in tabulated form and working with Microsoft EXCEL and doing High School level of mathematics N ECMT5001 or QBUS5002 |
| SIEN5001 Foundation in Strategy, Innovation and Mgmt |
6 | N IBUS5002 or WORK6002 |
Degree selective units of study |
||
| CLAW6031 International Financial Crime |
6 | |
| CLAW6035 Climate Change, Business and Regulation |
6 | |
| CLAW6888 Regulation of Fintech and Digital Information |
6 | |
| FINC5003 Introduction to Fintech and its Applications |
6 | |
| IBUS5003 Global Business |
6 | N IBUS5001 |
| IBUS6002 Cross-Cultural Management |
6 | |
| IBUS6020 Enterprise Management in China |
6 | N CHSC6902 |
| IBUS6022 Business and Management in India |
6 | |
| INFC7000 Inventing the Future |
6 | A Students are expected to be experienced in their own discipline at a postgraduate level Students must be able to start in the first week and commit to the full semester. Students must be at a postgraduate level within their own faculty. An application form will be required to be completed to ensure appropriate fit for students to this style of Unit. The Unit is designed for high achieving students and is not suitable for all students. The application form is designed to ensure students who undertake this unit are suitable for such a program. |
| INFS6071 Project Management in Business |
6 | |
| INFS6077 Digital, Data and Decisions |
6 | |
ITLS6500 |
6 | |
| ITLS6501 Infrastructure Financing |
6 | |
| MKTG6025 Marketing for Social Change |
6 | |
| QBUS5011 Introduction to Programming |
6 | A No prior knowledge of programming or coding is assumed. Some knowledge of mathematics (at a basic level) is beneficial N BUSS6002 |
| QBUS5010 Intro to Dashboarding and Data Visualisation |
6 | A The unit does not assume any prior knowledge of visual analytics. |
| QBUS5015 Foundations of Health and Civic Analytics |
6 | A No prior knowledge is assumed although some familiarity with mathematical and statistical concepts will be an advantage |
| QBUS5017 People Analytics in 4th Industrial Revolution |
6 | A BUSS5220 and BUSS5221 |
| QBUS6320 Management Decision Making |
6 | A Basic Algebra, Probability, and Statistics P QBUS5001 or QBUS5002 |
| SIEN6006 Entrepreneurship |
6 | |
| SIEN6007 Entrepreneurship: Lean Startup |
6 | N IBUS6011 |
| WORK5003 Management and Organisations |
6 | |
| WORK6026 Organisational Change and Development |
6 | |
| WORK6030 Performance and Rewards |
6 | |
| WORK6115 Managing Diversity and Inclusion at Work |
6 | |
| WORK6118 Managing Communication in Organisations |
6 | N ECOF6030 or ECOF6040 |
Elective units of study |
||
| ACCT6001 Financial Reporting and Analysis |
6 | P ACCT5001 |
| ACCT6002 International Accounting |
6 | A Accounting standards and their application P ACCT5001 |
| ACCT6003 Fundamental Analysis for Equity Investment |
6 | A QBUS5001 or QBUS5002 P ACCT5001 and (FINC5001 or BUSS5514) |
| ACCT6007 Contemporary Auditing in Practice |
6 | P ACCT6001 |
| ACCT6008 Managerial Accounting and Decision Making |
6 | P ACCT5001 N ACCT5002 |
| ACCT6010 Financial Reporting for Business Groups |
6 | P ACCT6001 |
| ACCT6015 Contemporary Sustainability Management |
6 | P ACCT5001 |
| BUSS6002 Data Science in Business |
6 | A Basic mathematical knowledge, e.g., probability, linear algebra, and calculus. C QBUS5001 or QBUS5002 |
| ECON5002 Macroeconomic Theory |
6 | N ECON5003 |
| ECON5004 Communication in Economics |
6 | N BUSS5020 |
| ECON5006 Economics of Law and Public Policy |
6 | P (ECON5001 or ECON5040) and ECMT5001 |
| ECON5007 The Economics of Financial Markets |
6 | P ECON5001 or ECON5040 or ECON6701 |
| ECON5008 Behavioural Economics |
6 | P (ECON5001 or ECON5040 or ECON6701) and (ECMT5001 or ECMT6702 or QBUS5001) |
| ECON5026 Strategic Business Relationships |
6 | P ECON5001 or ECON5040 |
| ECON6008 International Money and Finance |
6 | P (ECON5001 or ECON5040 or ECON6001 or ECON6701) and (ECON5002 or ECON6002 or ECON6702) and (ECMT5001 or QBUS5001 or QBUS5002 or ECMT6002 or ECMT6702) |
| ECON6016 Trade and Development |
6 | P ECON5001 or ECON5002 or ECON5040 or ECON6701 or ECON6702 |
| ECON6018 Environmental Economics |
6 | P ECON5001 or ECON5040 or ECON6701 |
| ECON6024 Private Equity |
6 | P ECON5001 or ECON5040 or ECON5002 or ECON6701 or ECON6702 |
| ECON6029 Health Economics and Policy Evaluation |
6 | P (ECON5001 or ECON5040 or ECON6701) and (ECMT5001 or ECMT6702 or QBUS5001) |
| ECON6035 Global Economic History for Business |
6 | N ECON6034 |
| FINC5090 Finance in the Global Economy |
6 | C FINC5001 |
| FINC6001 Finance: Theory to Applications |
6 | P FINC5001 Master of Commerce / Master of Commerce (Extension) students must complete this unit before the Capstone subject for this specialisation. |
| FINC6027 Markets in Crypto-Assets |
6 | |
| FINC6005 Advanced Asset Pricing |
6 | P FINC5001 or FINC6000 |
| FINC6007 Sustainable Finance Strategy |
6 | P FINC5001 |
| FINC6010 Derivative Securities |
6 | P FINC5001 |
| FINC6013 International Business Finance |
6 | P FINC5001 |
| FINC6014 Fixed Income Securities |
6 | P FINC5001 |
| FINC6015 Trading in Modern Financial Markets |
6 | P FINC5001 |
| FINC6017 Mergers and Acquisitions |
6 | A Calculation of free cash flows, trading multiples, discounted cash flow valuation methodology, valuation sensitivities, regression analysis. P FINC5001 N ACCT6011 |
| FINC6021 Corporate Valuation |
6 | P FINC5001 |
| FINC6022 Behavioural Finance |
6 | P FINC5001 |
| FINC6023 Financial Risk Management |
6 | P FINC5001 |
| FINC6024 Real Estate Finance and Investment |
6 | P FINC5001 |
| FINC6025 Entrepreneurial Finance |
6 | P FINC5001 |
| FINC6028 Artificial Intelligence in Finance |
6 | P FINC5001 |
| FINC6031 Financial Intermediary Management |
6 | P FINC5001 N BANK6002 |
| FINC6032 International Banking |
6 | A Understanding of main business concepts such as time value of money, financial management objectives of corporations, the role of banks in the economy C FINC5001 N BANK6005 |
| IBUS6000 Advanced International Business Strategy |
6 | N IBUS6001 |
| IBUS6004 International Business Alliances |
6 | |
| IBUS6019 Strategy and Emerging Markets |
6 | |
| IBUS6110 Managerial Cognition and Int'l Business |
6 | |
| INFS5000 Accounting Information Systems |
6 | N ACCT6014 |
| INFS6002 Strategic Information Systems Sourcing |
6 | A Basic business information systems knowledge |
| INFS6004 Digital Business Transformation |
6 | A Understanding the major functions of a business and how those business functions interact internally and externally so the company can be competitive in a changing market. How digital technologies can be used and managed in a business. How to critically analyse a business and determine its options for digital transformation. Desirable Assumed Knowledge: Experience as a member of a project team C INFS5002 or COMP5206 |
| INFS6012 Digital Information Infrastructures |
6 | C INFS5002 or COMP5206 |
| INFS6015 Business Process Management |
6 | C INFS5002 or COMP5206 |
| INFS6016 Digital Business Models |
6 | A Understanding the major functions of a business and how those business functions interact internally and externally so the company can be competitive in the market is essential in order to critically analyse how and where a business can be innovative. Some knowledge of how technology can be applied in a business is also essential. Experience as a member of a project team is desirable C INFS5002 or COMP5206 |
| INFS6018 Managing with Data and AI |
6 | A Understanding the major functions of a business and how those business functions interact internally and externally so the company can be competitive in a changing market. How information systems can be used and managed in a business. How to critically analyse a business and determine its options for transformation. Desirable Experience as a member of a project team. C INFS5002 or COMP5206 or QBUS5001 |
| INFS6023 Data Visualisation for Managers |
6 | |
| INFS6024 Managing Data at Scale |
6 | |
| INFS6026 Cybersecurity and Risk Management |
6 | |
| INFS6032 Agile Project Management |
6 | |
| INFS6060 Digital Work Practices |
6 | A INFS5002 (or COMP5206) taken previously or concurrently C INFS5002 |
| INFS6066 Gadgets, Gods and Godzilla |
6 | C INFS5002 or COMP5206 |
| ITLS6015 Managing Supply Chain Disruption |
6 | |
| ITLS6016 Logistics and Future Cities |
6 | N ITLS6301 |
| ITLS6111 Spatial Analytics |
6 | A Basic knowledge of Excel is assumed. N ITLS6107 or TPTM6180 This unit will use R programming language to perform statistical analyses and spatial analyses. No prior programming knowledge is required. |
| ITLS6201 Global Distribution Strategy |
6 | C ITLS5020 or ITLS5000 or ITLS5250 or TPTM5001 or MIBS6004 N ITLS6101 or TPTM6440 |
| ITLS6202 Sustainable Logistics and Procurement |
6 | C ITLS5020 or ITLS5000 or ITLS5250 or TPTM5001 or SUST5001 N ITLS6003 |
| ITLS6203 Analytic Methods for Logistics |
6 | N ITLS5200 or TPTM6495 |
| MKTG6001 Marketing Research |
6 | |
| MKTG6004 New Product Development |
6 | P MKTG5001 |
| MKTG6006 Persuasive Advertising: Illuminating Dark Art |
6 | P MKTG5001 N MKTG3121 |
| MKTG6007 Consumer Behaviour |
6 | P MKTG5001 |
| MKTG6010 Data Analytics in Marketing |
6 | P BUSS6002 or QBUS5011 |
| MKTG6013 International and Global Marketing |
6 | |
| MKTG6015 Digital and Social Media Marketing |
6 | P MKTG5001 |
| MKTG6016 Brand Management |
6 | P MKTG5001 |
| MKTG6018 Customer Analytics and Relationship Management |
6 | |
| MKTG6020 B2B Marketing |
6 | P MKTG5001 |
| MKTG6024 Marketing Analytics |
6 | A Understanding of basic marketing principles, statistics, and how to use analytic skills to solve marketing problems P MKTG5001 This unit provides introductory knowledge of Marketing Analytics to solve marketing problems. Students can develop a marketing strategy, exercising best practices of solving various managerial questions. |
| MKTG6104 Psychology of Marketing Decisions |
6 | P MKTG5001 N MKTG5002 |
| QBUS6310 Business Operations Analysis |
6 | P ECMT5001 or QBUS5001 or QBUS5002 N ECMT6008 |
| QBUS6810 Machine Learning for Business |
6 | P (ECMT5001 or QBUS5001) and (a mark of 65 or greater in BUSS6002 or COMP5310) N STAT5003 or COMP5318 |
| QBUS6820 Prescriptive Analytics: From Data to Decision |
6 | A Vectors, matrices, probability, Python P ECMT5001 or QBUS5001 C BUSS6002 |
| QBUS6830 Financial Time Series and Forecasting |
6 | A Basic knowledge of quantitative methods including statistics, basic probability theory, and introductory regression analysis P ECMT5001 or QBUS5001 |
| QBUS6840 Predictive Analytics |
6 | P (QBUS5001 or ECMT5001 or STAT5003) and (a mark of 65 or greater in BUSS6002 or COMP5310 or COMP5318) |
| QBUS6850 Advanced Machine Learning for Business |
6 | P QBUS6810 |
| QBUS6860 Visual Data Analytics |
6 | A The unit assumes knowledge of statistics and confidence in working with data P QBUS5001 or QBUS5002 |
| QBUS6952 Behavioral Data Science for Business |
6 | A The unit assumes knowledge of statistics and confidence in working with data |
| SIEN6001 Business Negotiations |
6 | N IBUS6018 |
| SIEN6002 Managing Sustainability |
6 | N WORK6033 |
| SIEN6003 Management Consulting |
6 | N WORK6111 |
| SIEN6004 Innovation Management |
6 | |
| SIEN6005 Social Entrepreneurship |
6 | N IBUS6016 |
| WORK6001 Organisational Analysis and Behaviour |
6 | |
| WORK6130 Leadership in Organisations |
6 | N ECOF5807 or ECOF6090 |
