Is GRE mandatory for Texas A&M University MS in Data Science?
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1 Answer
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For MS in Data Science course of Texas A&M University, GRE is optional. Other admission requirements for this course are:
- A bachelor’s degree in Mathematics, Computer Science, Statistics, Electrical Engineering, Industrial Engineering, or similar fields
- CV / Resume
- Academic transcripts
- Statement of Purpose
- 3 Recommendation Letters
- TOEFL / Other English language proficiency tests
- Other supporting documents
Applicants must have prior coursework before enrolling to this course:
- Math: Calculus and Linear Algebra
- Statistics: College-Level Introduction to Statistics
- Some programming experience in any of the languages: C+, R, Python
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The University of Amsterdam expects a GRE score of min 155 preferably 158 in the Quantitative Reasoning section. Along with this graduate applicant must hold a bachelor's or master's degree in the relevant discipline and submit required documents including transcripts, resume, letter of recommendation, English language requirements, statement of purpose, essay, and more.
Difficulty level of GRE exam totally depends on your knowledge. In genral, Graduate Record Examination is considered moderately difficult. It tests college level vocabulary and school level math concepts in tricky ways.
The University of Tokyo offer test option when it comes to GRE scores. This means students who wants to submit the score can submit it along with their application. As per data, 81% of students who submit GRE score get admission in the PG programs.
The University of Illinois at Urbana Champaign offer test option when it comes to GRE scores. This means students who wants to submit the score can submit it along with their application. Also, they should submit letter of reference, SOP, resume, transcripts, and English language requirements for PG admission.
GRE is not mandatory for all MS programs abroad. Many universities have made it optional or waived the requirement. Some top universities in US and Canada often still require or recommend it for admission.
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