Dr. Aselia Urmanbetova

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Biography

Aselia Urmanbetova is an Academic Professional in the School of Economics at Georgia Institute of Technology, focusing on creating an inclusive and engaging learning environment for students. She employs various active learning strategies that emphasize skill acquisition and long-term retention while navigating the complexities of today's policy landscape. Aselia oversees graduate teaching assistants and guides undergraduate TAs, fostering a collaborative educational atmosphere. Her commitment to student life is evident as she serves as the primary advisor for the GT Econ Club and the Georgia Tech chapter of the international economics honor society, ODE. She is deeply involved in initiatives that promote sustainability, equity, diversity, and inclusion across campus and advocates for mental health awareness. Aselia's research interests include open educational resources, pedagogical innovations in active learning, industry studies, environmental policy, and transportation economics. Alongside her academic role, she maintains an active lifestyle as a certified yoga instructor and dance enthusiast.

Research Interests

Courses

ECON-2101: Global Economy ECON-2105: Prin Macroeconomics ECON-4010: Career Dev Workshop ECON-4412: Cost-Benefit Analysis ECON-4699: Undergraduate Research ECON-4803: SAS Coding Data Analytics ECON-4811: Special Topics ECON-6010: Career Dev Workshop ECON-8801: Special Topics ECON-8803: SAS Coding Data Analytics

Requirements for Georgia Institute of Technology

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:19
Reading
Required:19
Writing
Required:19
Speaking
Required:19
Total
Required:100
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:5.5
Speaking
Required:6.5
Overall
Required:7.5
Prerequisites
Undergraduate degree in computer science or related field
Application Checklist
  • Online application
  • Official transcripts
  • Three letters of recommendation
  • Statement of Purpose
Specialization Notes

Department of Computer Science: GRE scores are optional for Fall 2026.