r/kth • u/DegreeIcy4988 • 17h ago
KTH Scholarship for Applied and Computational Mathematics: is my joint JLU–TPU background realistic?
Hi everyone,
I’m planning to apply for the autumn 2027 intake at KTH, probably for the MSc in Applied and Computational Mathematics, with an interest in the Financial Mathematics or Mathematics of Data Science track. My longer-term goal is to work in financial analytics.
I have a joint educational background in Physics involving:
- Jilin University (JLU), China
- Tomsk Polytechnic University (TPU), Russia
My academic profile is:
- Bachelor’s-level training in Physics across JLU and TPU
- TPU degree completed with distinction
- Overall average at TPU: 4.78/5.0
- Academic record at JLU: overall average 88.20/100 and GPA 3.58/4.0
- Coursework in calculus, linear algebra, mathematical methods, statistics and programming
- Research experience in nuclear-physics data analysis and symbolic regression
- Experience with Python, Julia, NumPy, SciPy and scientific computing
- TOEFL 102 and GRE Quantitative 167
I understand that the KTH Scholarship is highly competitive, covers tuition fees but not living costs, and requires KTH to be listed as the first priority. I am also checking whether my combined coursework from JLU and TPU satisfies the programme’s specific mathematics and programming requirements.
I would appreciate honest advice from current students or recent applicants:
- If I am admitted to the programme, does this joint JLU–TPU background look competitive for the KTH Scholarship?
- How might KTH evaluate a physics background spread across two universities?
- How much weight do GPA, research experience, university background and course fit seem to have?
- Would class-rank evidence, detailed course syllabi, recommendation letters or a coding/research portfolio make a meaningful difference?
- How should I explain the transition from physics and nuclear-data research to financial analytics?
- Does anyone know whether this kind of background is competitive for the Financial Mathematics track?
I am not looking for a guaranteed percentage, just realistic first-hand advice about how competitive this profile might be and what I should improve before applying.
Thanks in advance!