Decision, Risk and Financial Sciences
Parkville, Victoria, Australia
The Doctoral program in Decision, Risk, and Financial Sciences at the University of Melbourne offers comprehensive training in research methodologies and theoretical principles spanning social, biological, and mathematical sciences. It focuses on understanding human decision-making and problem-solving within contexts of risk and complexity at both individual and market levels, preparing students for advanced research careers.
- Parkville, Victoria, Australia
- 5 years
- On Campus
- N/A
Pros & Cons
Not enough reviews to generate pros and cons
Program Overview
The Doctoral program in Decision, Risk, and Financial Sciences at the University of Melbourne offers comprehensive training in research methodologies and theoretical principles spanning social, biological, and mathematical sciences. It focuses on understanding human decision-making and problem-solving within contexts of risk and complexity at both individual and market levels, preparing students for advanced research careers.
QS World Ranking
Not Available in Not Available
Class Size
400 Students
Key Features
Specializations Available
AI/ML, Systems, Theory, Human-Computer Interaction
Research Opportunities
Access to cutting-edge research labs and industry partnerships
Admission Requirements
TOEFL®
94.0
Key Dates
Application Start time & Deadline
Starting 2025-07-01
Apply before None
Program Start
Jul 2025
Programme Structure
Key areas of study include: Individual decision-making: Experimental investigation of the neurobiology of decision-making and learning (decision neuroscience), with a focus on decisions in the presence of risk (e.g., extreme events) and complexity (e.g., combinatorial problems); human-robot interaction in financial decision-making (e.g., robo-advisors). Group decision-making: Experimental investigation of decision-making and learning in small groups. Financial markets: Experimental investigation of decision-making in financial markets (experimental finance), e.g.: emerging intelligence through markets; dark markets; algorithmic trading; human-robot interaction in markets; combinatorial double-sided markets. Development of software: online double-sided markets platform; app development with interactive games/tools needed to overcome cognitive biases.
Program Highlights
- Comprehensive curriculum covering all key topics
- Hands-on projects and real-world case studies
- Expert faculty with industry experience
- Career support and placement assistance
Academic Requirements
No academic requirements found.
English Language Requirements
TOEFL®
94.0
Overall ScoreAdditional Requirements
Applicants must submit academic transcripts, including evidence of degree completion if applicable, and demonstrate English language proficiency. A competitive GMAT or GRE score report, a detailed Curriculum Vitae outlining academic and professional experience, research publications (if any), and evidence of relevant work experience are required for application consideration.
Course Fees
N/A
Annual Fee
5 years
Total Duration
Living Costs
No Living costs available.
University Scholarships
No University Scholarships Available
External Scholarships
Rochelle Nicolette Perry Memorial Scholarship
N/A
Amount
1250 USD
Deadline
Not specified
Organization of American States (OAS) Academic Scholarship Program
N/A
Amount
Various benefits
Deadline
Not specified
Master's Scholarship
N/A
Amount
Various benefits
Deadline
Not specified
Denise Halbach Performance Scholarship
N/A
Amount
2000 USD
Deadline
15 Apr 2025
Thomas Jefferson Prize in United States History
N/A
Amount
300 EUR
Deadline
Anytime
Eligibility Requirements
No Eligibility Requirements Available
Application Process
No Application Steps Available
News About Abroad
No news articles found
