Name: Master of Science
Price: 28853 USD

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QS Rank:

University of Texas at Austin

Texas

United States

Overview

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Master of Computational Science, Engineering, and Mathematics is one of the best courses to choose from that offers in-depth learning in a Computational Science. An MS Degree in Computational Science from the University of Texas at Austin has consistently made its place among the top global universities. International students prefer this course at the University of Texas at Austin due to its high graduate employability rate.

University of Texas at Austin offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Computational Science from the University of Texas at Austin, students will be competent to carry out extensive research work in the field.

The interactive curriculum, vast research opportunities and exceptional teaching faculty at University of Texas at Austin offer students a life-altering learning experience. A Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Computational Science from the University of Texas at Austin is a great choice for students who want to analyse the field in great depth.

Why Study Computational Science, Engineering, and Mathematics at University of Texas at Austin

A popular choice for international students with a diverse community
Learn from the best faculty members and become their research assistants
High-end labs to facilitate research work
Excellent placement programs after course completion

Duration

24 Months

Median Salary

$1,05,000

Ranking

#38

US World and News Report

#50

The World University Rankings

#66

QS World University Rankings

Class Profile

Class Size

Average Age

Average Work Experience

1 Years

Diversity

Asian:

22%

Hispanic:

41%

White:

26%

Black or African American:

Others:

Career Outcomes

Median Earnings After Graduation

$1,05,000 / year

Prospective Job Roles

Statistician

Product Manager

Research Scientist

Software Engineer

Data Visualization Specialist

Health Data Scientist

Entrepreneur

Machine Learning Engineer

Financial Analyst

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Computational Scientist

UX Designer

Actuary

Bioinformatician

Operations Research Analyst

Top recruiters

Eligibility Criteria

English Proficiency Tests

TOEFL
79
IELTS
6.5

Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Transcript

Academic LOR
Resume

Application Deadlines

Fees and Funding

Tuition Fees

$28,853 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of Texas at Austin offers a variety of scholarships for students pursuing a master's degree in computational science, engineering, and mathematics. These scholarships are based on academic merit, financial need, and other factors. Some of the best scholarship providers for this program include the National Science Foundation, the American Mathematical Society, and the Society for Industrial and Applied Mathematics.

FAQs

A student can complete Computational Science, Engineering, and Mathematics at University of Texas at Austin with in 24.
The application fee to pursue Computational Science, Engineering, and Mathematics at University of Texas at Austin is USD 90 for international students.
The annual tuition fee to pursue Computational Science, Engineering, and Mathematics at University of Texas at Austin is USD 28853.
The submission of these scores mainly depends on the type of degree/ course selected at the University of Texas at Austin. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of Texas at Austin requirements before submitting a score.
Computational Science, Engineering, and Mathematics can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
If a student fulfils all the eligibility criteria and admission requirements of University of Texas at Austin, they can easily pursue Computational Science, Engineering, and Mathematics . The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
An MS degree at University of Texas at Austin can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Texas at Austin website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at University of Texas at Austin by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.