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Tsinghua University

Beijing, China

Tsinghua University Biochemistry & Molecular Biology Full Ride Opportunity

PhD3.5 yrsBlendedFull RideIELTS 6.5
Total Grant / Award
Full Tuition + $18,000 Annual Living Stipend (~$32,308 / yr)
Deadline Date
Jun 2027

Programme & Scholarship Overview

The Biochemistry & Molecular Biology award at Tsinghua University provides prestigious financial support for PhD degree seekers in Beijing, China. Eligibility: Developing Countries (DAC List).

The Tsinghua University Biochemistry & Molecular Biology Full Ride Opportunity is hosted at Tsinghua University located in Beijing, China. This program is structured for scholars enrolled in the PhD level pursuing coursework within the Natural Sciences & Mathematics discipline (focusing on Biochemistry & Molecular Biology). Studies are delivered on an blended basis with a structured curriculum designed to be completed over 3.5 yrs.

This award provides a comprehensive financial package valued at Full Tuition + $18,000 Annual Living Stipend (~$32,308 / yr) under a Full Ride framework, providing direct financial relief covering monthly stipend, health insurance, accommodation, airfare. Candidate selection is administered on a Need-Based basis, welcoming applications from Developing Countries (DAC List).

Prospective students should hold a minimum cumulative academic standing equivalent to GPA 3.1. Regarding language proficiency standards, applicants are required to provide official verification for IELTS 6.5.

Expense & Living Coverage Included

Monthly Stipend
Health Insurance
Accommodation
Airfare

Eligibility & Language Requirements

Language TestIELTS 6.5
Standardized Entry TestsGRE
Minimum Academic Grade / GPAGPA ≥ 3.1
Application Processing FeeFree to Apply

Official Application

Ready to apply? Submit your application directly through the university or foundation portal.

Apply on Official Portal

Key Details Summary

Degree Level
PhD
Discipline
Natural Sciences & Mathematics
Country
China
Duration
3.5 yrs
Attendance
Blended
Need Status
Need-Based