This course offers an in-depth exploration of computational game theory, integrating computer science and economics. It provides foundational knowledge in algorithmic techniques, optimization methods, and models relevant to the intersection of these disciplines within the Theoretical Computer Science programme at the University of Liverpool.
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This course offers an in-depth exploration of computational game theory, integrating computer science and economics. It provides foundational knowledge in algorithmic techniques, optimization methods, and models relevant to the intersection of these disciplines within the Theoretical Computer Science programme at the University of Liverpool.
Not Available in Not Available
400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
No Admission Requirement Available.
Starting 2025-09-01
Apply before 2025-08-01
21-09-2026
Courses include: Optimisation Research Methods in Computer Science Efficient Algorithms Knowledge Representation Microeconomic Analysis Algorithmic Game Theory Advanced Algorithmic Techniques Advances in Theoretical Computer Science Computational Intelligence Check out the full curriculum Visit programme website
No English language requirements found.
Applicants should typically hold a 2:1 honours degree or higher in computer science, mathematics, or related fields. Those with a 2:2 may be considered individually. International applicants must provide transcripts, degree certificates, and English language proficiency certificates. Additional documentation includes personal statements and certified translations if applicable.
₹32,10,900/Year
Annual Fee
12 months
Total Duration
No Living costs available.
No University Scholarships Available
N/A
Amount
1250 USD
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
2000 USD
Deadline
15 Apr 2025
N/A
Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
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