I’m a production engineering BTech student at NIT Trichy with 8.31/10.0 but am planning to apply for MS in Data Science/ML. I have also taken a minor in CS with a good GPA but how much will my core production engineering grades and GPA matter especially for the top 10 universities in the US? Also, is having a US citizen positive or negative for someone who has studied in India? They might not be able to recognize Indian Universities as well as US accredited universities, is this a
problem? Also, how do i convert my GPA to a 4.0 scale?
Here’s a quick summary of your questions:
-
Core Production Engineering Grades and GPA:
- Top universities will consider your overall academic performance, including your core production engineering grades and minor in CS.
- A strong GPA in your minor, relevant coursework, and any projects or research in data science/ML will help offset core production grades.
-
US Citizenship:
- US citizenship can be an advantage in terms of familiarity with the education system, but it generally won’t be a significant factor. Admissions committees focus more on academic performance, relevant experience, and fit for the program.
-
GPA Conversion:
- To convert your GPA from a 10.0 scale to a 4.0 scale, you can use a conversion formula or tool. A common approach is:
[
\text{GPA on 4.0 scale} = \left(\frac{\text{Your GPA} - \text{Minimum GPA}}{\text{Maximum GPA} - \text{Minimum GPA}}\right) \times 4.0
]
For a GPA of 8.31/10.0, it roughly translates to around 3.3 on a 4.0 scale.
- To convert your GPA from a 10.0 scale to a 4.0 scale, you can use a conversion formula or tool. A common approach is:
Each university might have specific guidelines for GPA conversion, so check their requirements for more precise information.