Master of Science (Management Science)

Course MC-SCIMAN (2010)

Note: This is an archived Handbook entry from 2010.

Year and Campus: 2010 - Parkville
Fees Information: Subject EFTSL, Level, Discipline & Census Date
Level: Graduate/Postgraduate

Coordinator

Associate Professor Antoinette Tordesillas
Email: atordesi@unimelb.edu.au

Contact

Melbourne Graduate School of Science
Faculty of Science
The University of Melbourne


Tel: + 61 3 8344 6404
Fax: +61 3 8344 5803
Web: http://graduate.science.unimelb.edu.au

Course Overview:

The Master of Science (Management Science) uses mathematical models and other analytical methods to help make better business management decisions. Using stochastic models, simulation, statistics and forecasting methods, students will be able to give statistical measures of performance and reliability, understand the key drivers of system behaviour, predict future trends, manage large-scale interacting systems, control complex planning, scheduling and operational processes and help to maximise profits and efficiency.

The range of topics include:

  • Mathematics of Risk
  • Optimisation for Industry
  • Business Forecasting
  • Project Management
  • Systems Modelling and Simulation

This professional entry program offers students the opportunity to undertake core science studies as well as professional tools modules, which provide high-level training in areas of business, communications and science applications.
Objectives:

After completing this course students should:

  • have learned how basic techniques in operations research are applied in industry;
  • understand how to turn an industrial problem into a mathematical formulation;
  • know how to solve important mathematical optimisation problems arising in industrial framework;
  • have gained the ability to pursue further studies in related areas;
  • understand the basic principles of the construction of time series models;
  • be able to analyse the properties of the models and produce predictions based on them; and
  • be familiar with the most commonly used models and be able to apply the models in various situations.
Course Structure & Available Subjects:

Course structure (all subjects are 12.5 points each, total points: 200)

Discipline Core (62.5 points)

Students must take:

  • 620-502 Mathematics of Risk
  • 620-616 Optimisation for Industry
  • 600-655 Business Forecasting
  • 600-621 Cases in Business Modelling
  • 620-501 Scheduling and Optimisation

Discipline Elective (37.5 points)

Students must take 3 of the following subjects:

  • 325-679 Supply Chain Management
  • 325-695 Project Management
  • 615-657 Enterprise Systems
  • 615-644 Data Warehousing
  • Additional electives may be selected in consultation with the course coordinator

Project Module (12.5 points)

  • 600-611 Industry Project


Professional Tools Module (87.5 points)

Professional Tools Core (87.5 points)

Students must take:

2 Business Tools Units

  • 600-614 Business Tools: Money, People and Processes
  • 600-622 Business Tools: The Market Environment

3 Science Tools Units

  • 600-617 Systems Modelling and Simulation
  • 600-615 Thinking and Reasoning with Data
  • 600-618 Ethics and Responsibility in Science

2 Communication Tools Units

  • 600-619 Scientists, Communication and the Workplace
  • 600-616 Science in Context
Subject Options:

Discipline Core

Subject
Study Period Commencement:
Credit Points:
Not offered in 2010
12.50

Discipline Elective

Additional electives may be selected in consultation with the course coordinator.
Subject
Study Period Commencement:
Credit Points:
Semester 1, Semester 2
12.50
Semester 1
12.50
Not offered in 2010
12.50
Semester 1
12.50

Project Module

Subject
Study Period Commencement:
Credit Points:

Professional Tools

Subject
Study Period Commencement:
Credit Points:
Semester 2
12.50
Entry Requirements: A bachelor degree in an appropriate discipline including mathematics, statistics and operations research, engineering, information technology, computing, commerce or business, with at least H3 (65%) in the major or equivalent. As part of their degree studies, applicants must have completed an appropriate sequence of mathematics and statistics or related subjects at at least second year level.
Core Participation Requirements: It is University policy to take all reasonable steps to minimise the impact of disability upon academic study and reasonable steps will be made to enhance a student’s participation in the University’s programs. Students who feel their disability may impact upon their active and safe participation in a course are encouraged to discuss this with the relevant course coordinator and the Disability Liaison Unit.
Graduate Attributes:

Graduates will:

  • have the ability to demonstrate advanced independent critical enquiry, analysis and reflection;
  • have a strong sense of intellectual integrity and the ethics of scholarship;
  • have in-depth knowledge of their specialist discipline(s);
  • reach a high level of achievement in writing, project activities, problem-solving and communication;
  • be critical and creative thinkers, with an aptitude for continued self-directed learning;
  • be able to examine critically, synthesise and evaluate knowledge across a broad range of disciplines;
  • have a set of flexible and transferable skills for different types of employment; and
  • be able to initiate and implement constructive change in their communities, including professions and workplaces.
Links to further information: http://graduate.science.unimelb.edu.au

Download PDF version.