MGMT20005 Business Decision Analysis (BDA) - assignments, analysis, exams, assessments, administration

Business Decision Analysis is a level 2 course under Management. Although it is a management course, the English skills do not need to be very deep. It is suitable for some students who are not confident in their English as a training.

The course is broadly divided into two parts:

In the first part, students need to combine the known information with Decision Tree to judge the company's strategy. The proportion of calculation is greater than that of text. Students who have studied POF should be able to grasp this part.

The second part is similar to QM1, using Excel Solver to generate reports based on existing information, and then analyze different elements in the report, the analysis template on lecture slides can be directly applied. For more details, click GPA expert.

  The assignment is divided into three parts:

The first part is a personal report, which needs to be completed according to the pdf given by the teacher. It should be noted that there must be no less than 10 references, and it needs to be the reference of the past three years.

The second part is group work, which requires a total of 4-5 students to complete. The teacher will designate team members in class. If you want to form a group with other people, you need to communicate with the teacher yourself. There are a total of 3000 words, and you may use Gantt charts, Excel operation, decision-making model.

The third part is the final, which is the final exam accounting for 50%. The difficulty of this exam is that there are a lot of questions and the difficulty is not high, but the number of words that needs to be typed is about 2500 words, and there will be Excel operation questions. The exam is divided into 5 questions, and students need to manage their time reasonably. The test centre teachers for this exam have listed:

1. Formulate and analyze business decision problems using advanced decision-making/modelling techniques such as decision trees, optimization and simulation

2. Use the decision-making analysis method of perfect and sample information to formulate the optimal strategy, and use the spreadsheet to conduct quantitative analysis on the decision-making plan

3. Interpret and analyze optimisation models' results and solutions, and investigate solutions' sensitivity to decision model assumptions.


The overall difficulty is moderate to low, and this course can be used as the first choice for students to score in the level 2 course.


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