Doctor of Philosophy (Business)
By research
Doctor of Philosophy
PhD
+ Course Availability Modes and Locations
Availability is subject to change, please verify prior to enrolment.
| Doctor of Philosophy (Business) (2905AA) |
|---|
| On Campus | Uni Wide |
| Distance Education | Uni Wide |
| Doctor of Philosophy (Business) (2904AA) |
|---|
| On Campus | Uni Wide |
| Doctor of Philosophy (Business) (2901AA) |
|---|
| On Campus | Uni Wide |
| Distance Education | Uni Wide |
Normal course duration
Full-time 3.0 years (6.0 sessions)
For normal candidature:
Overall Duration (FTE): 3.0
Full-time: 3 years minimum/4 years maximum
Part-time: 3 years minimum/8 years maximum
For candidates with Master by research qualification:
Overall Duration (FTE): 2.0
Full-time: 2 years minimum/4 years maximum
Part-time: 2 years minimum/8 years maximum
For candidates with Publication:
Overall Duration (FTE): 0.5
Full-time: 6 months minimum /1 year maximum
Part-time: 12 months minimum/ 2 years maximum
Admission criteria
Standard CSU Admission criteria apply.
Credit
No special arrangements apply.
Graduation requirement
To graduate students must satisfactorily complete 192 points.
Course structure
The following areas are approved categories of research supervision in the Faculty of Business:
Accounting
Financial Accounting
Management Accounting
Economics
Agricultural Economics
Environment and Resource Economics
Industry Economics and Industrial Organisation
Management
Human Resource Management
Industrial Relations
International Business
Organisational Behaviour
Organisational Planning and Management
Marketing
Consumer Behaviour
Product or Service Development
Marketing Management, Strategy and Relationship Marketing
Marketing Theory
Numerical and Computational Mathematics
Numerical Analysis
Computing
Information Systems
Information Systems Management
Computer-Human Interaction
Artificial Intelligence and Image Processing
Pattern Recognition and Data Mining
Computer Vision
Adaptive Agents and Intelligent Robotics
Simulation and Modelling
Neural, Evolutionary and Fuzzy Computation
Distributed Computing
Web Technologies
Distributed and Grid Systems
In consultation with the Course Coordinator, students will enrol in one of the following research subjects during the period of their candidature:
ACC701 Doctoral Research (Part-time)
ACC702 Doctoral Research (Full-time)
ECO701 Doctoral Research (Part-time)
ECO702 Doctoral Research (Full-time)
ITC701 Doctoral Research (Part-Time)
ITC702 Doctoral Research (Full-Time)
MGT701 Doctoral Research (Part-time)
MGT702 Doctoral Research (Full-time)
MKT701 Doctoral Research (Part-Time)
MKT702 Doctoral Research (Full-Time)
+ Residential School
No subjects with a Residential School component have been identified in this course.
+ Workplace Learning
No subjects with a Workplace Learning component have been identified in this course.
Enrolment pattern
No enrolment pattern is specified. Students are advised to contact the Sub-Dean (Graduate Studies), Faculty PhD Coordinator, or Supervisor for relevant information.
Contact
For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 334 733 (free call within Australia) or email inquiry@csu.edu.au
The information contained in the 2013 CSU Handbook was accurate at the date of publication: October 2012. The University reserves the right to vary the information at any time without notice.