MGMT29009 - Operations Management and Business Analytics

General Information

Unit Synopsis

In today's dynamic business landscape, organisations strive for operational excellence and data-driven decision-making. Operations management and business analytics offer a comprehensive exploration of the synergies between efficient operations and the strategic use of data analytics. The unit explores the contemporary principles and practices involved in the management of both service and manufacturing operations. Taking a strategic approach to operations, you will examine fundamental concepts such as process planning, design, control and Six Sigma continuous improvement; quality management and lean thinking; the role of the supply chain in modern operations; capacity and location principles as well as the use of project-based activities in an operational environment. You will utilise business data from a variety of organisational sources including financial, economic and market information and develop mathematical models for more effective operational decisions. The unit also provides you with the opportunity to engage in independent research using evidence-based approaches to identify workplace issues and recommend viable solutions that enhance organisational effectiveness.

Details

Level Postgraduate
Unit Level 9
Credit Points 6
Student Contribution Band SCA Band 4
Fraction of Full-Time Student Load 0.125
Pre-requisites or Co-requisites

Students enrolling in this unit must be undertaking the CL84 Master of Business Administration (International).

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Class Timetable View Unit Timetable
Residential School No Residential School

Unit Availabilities from Term 3 - 2024

Term 1 - 2025 Profile
Jakarta
Term 2 - 2025 Profile
Jakarta

Attendance Requirements

All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Assessment Overview

Recommended Student Time Commitment

Each 6-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Assessment Tasks

Assessment Task Weighting
1. Critical Review 40%
2. Report 60%

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).

Consult the University's Grades and Results Policy for more details of interim results and final grades

Past Exams

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Previous Feedback

Term 2 - 2023 : The overall satisfaction for students in the last offering of this course was 33.33% (`Agree` and `Strongly Agree` responses), based on a 50% response rate.

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Source: Teaching team, self-reflection
Feedback
Enhance the participation and/or attendance of the students on the class
Recommendation
More strongly encourage students to participate and/or attend the class.
Action Taken
Students were encouraged to attend classes. In T2 there was hybrid Offline / Classroom to increase the student and lecturer interaction.
Source: Informal comments from students
Feedback
Stress the relevance of this unit to students' industries.
Recommendation
The contents of this unit are relevant across all industries, so it may be useful for the local tutor to tailor the examples given to the specific industry cohort in the classroom. Moreover, assessments allow students to choose which industry to focus on - they should be encourged to choose their own industry.
Action Taken
In Progress
Source: Informal comments from students
Feedback
Students wish to learn more about the advancements of AI in analytics.
Recommendation
The current content relating to AI needs to be stressed further and any advancements between now and the next iteration need to be included in the unit.
Action Taken
In Progress
Unit learning Outcomes

On successful completion of this unit, you will be able to:

  1. Develop an advanced and integrated understanding of operations managements and business analytics
  2. Critically analyse and reflect on key principles of operations analytics
  3. Critically apply a complex systems approach to analytically identify, analyse and investigate the management of operational functions
  4. Synthesise complex data from a variety of sources and develop mathematical models as part of the analytical process to identify and propose solutions to contentious workplace business problems
  5. Interpret and successfully apply knowledge related to recent development of operations management in service and manufacturing industries.

Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks Learning Outcomes
1 2 3 4 5
1 - Critical Review • • • • •
2 - Report • • • • •
Alignment of Graduate Attributes to Learning Outcomes
• Professional Level
• Advanced Level
Graduate Attributes Learning Outcomes
1 2 3 4 5
1 - Knowledge • • • •
2 - Communication • • •
3 - Cognitive, technical and creative skills • • • • •
4 - Research • • • •
5 - Self-management • • •
6 - Ethical and Professional Responsibility • • • •
7 - Leadership • • • • •
Alignment of Assessment Tasks to Graduate Attributes
• Professional Level
• Advanced Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8