Business Analytics and Operations Research
PostgraduateTAS-JNB6352025
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- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- No ATAR needed, No prior study
- Duration
- 14 weeks
- Start dates
- 21 July 2025
- Loan available
- FEE-HELP available
Business Analytics and Operations Research
About this subject
Upon successful completion of this subject, students should be able to:
- Collect, analyse and interpret global trade information to aid decisions in maritime logistics management.
- Use intelligent techniques for knowledge discovery to solve real-life problems in maritime logistics management.
- Critically assess business analytics solutions and their applicability to the decision making process arising in diverse contexts.
- Define and constructively justify recommended choices in management and maritime logistics based on supporting evidence, critical thinking and professional judgment.
- Module 1: Introduction to Business Analytics in Maritime and Logistics (ML)
- Module 2: Numerical Description of the ML Data
- Module 3: ML Data Visualisation
- Module 4: Quantification of Uncertainty in ML Data
- Module 5: Statistical Inference in ML
- Module 6: ML Forecasting Part 1: Linear Regression
- Module 7: ML Forecasting Part 2: Advanced Issues in Regression
- Module 8: ML Forecasting Part 3: Time Series Analysis
- Module 9: ML Decision Analysis
- Module 10: Spreadsheet Models for ML Data
- Module 11: Simulation of Inventory Demand
- Module 12: Optimisation of Production and Distribution Planning
This subject provides students with the fundamental and advanced concepts, tools and skills needed to understand the emerging role of business analytics and operations research in organizations. Emphasis would be given to problems in maritime logistics and transport, retailing and procurement. It allows students to understand and apply advanced business analytics tools in a computer-intensive environment and to communicate with analytics professionals to effectively use and interpret analytical models and results for better decision making. There is a descriptive, predictive and prescriptive approaches offered in the subject. Along with this, it discusses the fundamentals and advances of operations research as a discipline area related to simulations and decision-making processes using intelligent methods.
- Maritime and logistics forecasting (30%)
- Decision Analysis (30%)
- Final Examination (take-home) (40%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
No entry requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
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What to study next?
Once you’ve completed this subject it can be credited towards one of the following courses
Master of Business Administration in Maritime Management
PostgraduateTAS-BAM-MAS
Master of Global Logistics and Supply Chain Management
PostgraduateTAS-GSM-MAS
Graduate Certificate in Global Logistics and Supply Chain Management
PostgraduateTAS-GLS-GCE
Graduate Certificate in Maritime Management
PostgraduateTAS-MLO-GCE
Graduate Diploma of Global Logistics and Supply Chain Management
PostgraduateTAS-GLS-GDI
Graduate Diploma of Maritime Management
PostgraduateTAS-MMG-GDI
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