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Master of Operations Research and Management Science (MC-SCIMAN)
Masters (Coursework)Year: 2017 Delivered: On Campus
About this course
Contact
Melbourne Graduate School of Science
Faculty of Science
The University of Melbourne
Victoria 3010
Tel: + 61 3 8344 6128
Fax: +61 3 8344 3351
Web: http://graduate.science.unimelb.edu.au/
Coordinator
Not taking new students from 2014
Associate Professor Sanming Zhou
Email: sanming@unimelb.edu.au
Overview
Award title | Master of Operations Research and Management Science |
---|---|
Year & campus | 2017 |
CRICOS code | 073437M |
Fees information | Subject EFTSL, level, discipline and census date |
Study level & type | Graduate Coursework |
AQF level | 9 |
Credit points | 200 credit points |
Duration | 24 months full-time or 48 months part-time |
The Master of Operations Research and Management Science teaches students how to employ mathematical models and other analytical methods to help make better business management decisions. Using optimisation stochastic models, simulation, statistics and forecasting methods, students will be able to design 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 professional skills modules that provide high-level training in areas of business, communications and science applications, as well as core studies in the mathematical and statistical theory.
Links to further information
http://graduate.science.unimelb.edu.auEntry requirements
An undergraduate degree in a quantitative discipline such as mathematics, statistics and operations research, engineering, information technology, economics, commerce, with at least H3 (65%) in the major or equivalent. As part of their degree studies, applicants must have completed an appropriate sequence of at least 25 points of second-year undergraduate university-level mathematics and statistics or equivalent subjects.
Inherent requirements (core participation requirements)
The Master of Operations Research and Management Science welcomes applications from students with disabilities. It is University and degree policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student’s participation in the degree.
The Master of Operations Research and Management Science requires all students to enrol in subjects where they will require:
(1) the ability to comprehend complex science and technology related information;
(2) the ability to communicate knowledge and application of science clearly and independently.
Students must possess behavioural and social attributes that enable them to participate in a complex learning environment. Students are required to take responsibility for their own participation and learning. They also contribute to the learning of other students in collaborative learning environments, demonstrating interpersonal skills and an understanding of the needs of other students. Assessment may include the outcomes of tasks completed in collaboration with other students.
There may be additional inherent academic requirements for some subjects, and these requirements are listed within the description of the requirements for each of these subjects.
Students who feel their disability will impact on meeting this requirement are encouraged to discuss this matter with the relevant Subject Coordinator and the Disability Liaison Unit: http://www.services.unimelb.edu.au/disability/
Professional accreditation
National Professional Science Master’s Association (NPSMA) (http://www.npsma.org//)
Intended learning outcomes
After completing this course students will:
- 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;
- be familiar with the most commonly used mathematical models and be able to apply them in various situations; and
- be able to estimate the values of parameters that drive models from statistical data and have an appreciation of the uncertainty in those estimates.
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.
Course structure
Students must complete 200 points including:
- Discipline Core subjects (62.5 points);
- Discipline Elective subjects (62.5 points);
- Professional Skills Core subjects (50 points);
- Professional Skills Elective subjects (25 points).
Subject options
Discipline Core
Students must take:
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90014 | Optimisation for Industry | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90009 | |||
BUSA90470 | Cases in Business Modelling | Not available in 2017 | 12.5 |
MAST90050 | Scheduling and Optimisation | Not available in 2017 | 12.5 |
MAST90051 | Mathematics of Risk | Not available in 2017 | 12.5 |
Discipline Electives
Students must select five of the following subjects:
Code | Name | Study period | Credit Points |
---|---|---|---|
MGMT90026 | Supply Chain Management | Semester 1 (On Campus - Parkville) |
12.5 |
ISYS90036 | Enterprise Systems | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90038 | Algorithms and Complexity |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MAST90013 | Network Optimisation | Semester 2 (On Campus - Parkville) |
12.5 |
MAST90027 | The Practice of Statistics | Not available in 2017 | 12.5 |
MAST90061 | |||
ISYS90086 | Data Warehousing | Summer Term (On Campus - Parkville) |
12.5 |
Professional Skills Core
Students must take:
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90045 | Systems Modelling and Simulation | Semester 1 (On Campus - Parkville) |
12.5 |
SKIL90004 | Project Management in Science | Semester 1 (On Campus - Parkville) |
12.5 |
and either two of the following three subjects:
Code | Name | Study period | Credit Points |
---|---|---|---|
MKTG90004 | Marketing Management |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MGMT90140 | Management Competencies |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MKTG90037 | Managing for Value Creation |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
or both of
Code | Name | Study period | Credit Points |
---|---|---|---|
BUSA90403 | Business Tools: Money People & Processes | September (On Campus - Parkville) |
12.5 |
BUSA90471 | Business Tools: The Market Environment | Not available in 2017 | 12.5 |
Professional Skills Electives
Students must select two of the following subjects:
Code | Name | Study period | Credit Points |
---|---|---|---|
SCIE90006 | Scientists,Communication & the Workplace | Semester 2 (On Campus - Parkville) |
12.5 |
MULT90012 | Industry Project in Science | Not available in 2017 | 12.5 |
ECON90015 | Managerial Economics |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
SCIE90012 | Science Communication | Semester 2 (On Campus - Parkville) |
12.5 |
MGMT90111 | Management and Business Communication | Semester 1 (On Campus - Parkville) |
12.5 |
FNCE90060 | Financial Management |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
*Up to two third-year level undergraduate subjects will be allowed as discipline electives to meet prerequisite/assumed knowledge requirements.
Last updated: 30 January 2024