Bachelor of Science in Computational Engineering

Class Profile

Class Size

100

Average Age

22

Average Work Experience

0 Years

Diversity

Asian:

22%

Hispanic:

41%

White:

26%

Black or African American:

7%

Others:

4%

Career Outcomes

Median Earnings After Graduation

$80,000 / year

Top recruiters

IBM

Google

Amazon

Microsoft

JPMorgan Chase

Cisco

Oracle

Apple

Facebook

Intel

Fees and Funding

Tuition Fees

$38,650 / year

Funding Options

Scholarships

See More

• 

  The Texas Higher Education Coordinating Board

• 

  The University of Texas at Austin

• 

  The American Society of Mechanical Engineers

• 

  The Society of Women Engineers

FAQs

• What is the duration of Computational Engineering at University of Texas at Austin?

  

  A student can complete Computational Engineering at University of Texas at Austin with in 48.

• What is admission application fee for international students at University of Texas at Austin?

  

  The application fee to pursue Computational Engineering at University of Texas at Austin is USD 90 for international students.

• What is the annual tuition fee to pursue Computational Engineering at University of Texas at Austin?

  

  The annual tuition fee to pursue Computational Engineering at University of Texas at Austin is USD 38650.

• Can I submit GMAT, LSAT, or MCAT scores instead of the GRE test scores to study abroad at University of Texas at Austin?

  

  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.

• What is the scope of Computational Engineering for Indian/ international students?

  

  Computational Engineering 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

• How difficult is it to get into University of Texas at Austin to pursue Computational Engineering?

  

  If a student fulfils all the eligibility criteria and admission requirements of University of Texas at Austin, they can easily pursue Computational Engineering. 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.

• How long does it take to obtain an MS degree at University of Texas at Austin?

  

  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.

• How to apply for a scholarship to pursue master’s at University of Texas at Austin?

  

  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.