Chaaley
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Posts posted by Chaaley
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On 12/8/2020 at 7:57 AM, essiec said:
Hi! I'm not a stats person (History!), but in general, I'd recommend not letting the level/rank of university determine whether you apply or not. A top-tier school globally might actually not be the strongest in your particular program.
Instead, think about the kind of environment where you would thrive. This will take a bit of research on each of the schools. (Usually looking at the department webpage and the graduate school webpage will be sufficient).
- the size of the program (do you do better as one fish in a sea of other students, or working closely with professors?)
- the professors in the department (are they experts in what you hope to study? or at least adjacent/competent in your interests?)
- the courses or research opportunities traditionally offered by the program (do they actually teach/research the field you're interested in?)
- institutional resources (like specific centers or something) that might have the intellectual and financial resources that would complement your interests.
- What size university? (Big, small, medium?)
- What size city? (Metropolis vs. college town?) Cost of living? What's transportation like? A place like UVic is going to be a lot more expensive (on an island, pricey rent, $$$ for ferry to mainland) than Simon Fraser, for example.
- Funding opportunities?
- etc.
If you're worried your GPA or GRE scores are going to hurt your chances of getting in, then I'd recommend having a couple other "backup" schools where you believe it will be easier to get into. A lot of programs will list what percentage of their applicant pool gets admitted, so you can find out there. But I'd focus a lot more on whether the actual program, rather than the school, is going to suit you.
If the application doesn't require GRE scores, I wouldn't include them.
In my field, most are not requiring them (due to COVID) so I won't be listing them on my applications.Thank you for your kind advice!!
It helps me a lot.
I will take your advice into consideration for the better choice of schools.
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Hi, graduated from an Asian university which ranked between 300th and 350th of global ranking.
I studied applied mathematics and desire to study for data science.
I have several questions for it and thank for your advices.
1. My undergraduate GPA is 3.4/4.3, 3.6/4.5
I guess it is same as 3.2/4.0?
The courses I took and the scores are like below, sorted from freshman to senior
- Calculus B+
- Linear Algebra B-
- Differential Equations B+
- Calculus2 B-
- Geometry A0
- Mathematical Programming B+
- Advanced Linear Algebra with applications B+
- Numerical Analysis and Practice B+
- Complex Analysis and its Applications B0
- Applied vector analysis B+
- Matheatics for Finance B-
- Analysis1 A0
- Topology and its applications1 B0
- Computer Aided Geometric Design B0
- Topics in Numberical Analysis A-
- Differential Geometry1 B+
- Mathematical Modeling and applications A-
- Functions in Several variables A+
- Modern Algebra1 A0
- Advanced differential equations A+
- Introduction to Computer Programming A+
- Algorithms with mathematics A0
2. GRE : 166(Q)/146(V)/3.5(W), TOEFL : 99 (28,26,22,23)
3. I am interested in data mining and deep learning.
no professional career related to the field.I did a lot of extracurricular activities but was mostly about education. My publication, too.
participated big data specialization program during the vacation.
I am studying deep learning and statistics by myself and capable of SQL, MATLAB, python and R, C++
4. Programs I looked into are like the followings:
Simon Fraser University
Mcgill University
Queen’s University
University of Calgary
Dalhousie University
University of Victoria
Carleton University
Lakehead University
University of Guelph
York University
I know, my spec is mediocre and not competitive.
For the schools I listed above, I am aiming to study statistics and I meet the admission requirements, but am not sure if I have any hope to be admitted.
It is true that I want to study at good schoos, but my major concern is anyway to start studying for master's degree.Since I don't want to ask too many references to my professors,
Q1. I would like to be sure which level of schools is probably suit for me to apply.
Q2. How deeply should I mention about my research field? Stating deep learning, non-parametric statistics and data mining are enof?
Q3. My GRE Verbal score is very bad. Should I mention GRE scores when apply if it is not required but encouraged to suggest?
Master in Statistics at Canadian graduate schools
in Applications
Posted
Thank you for the reply, I messaged you.