QS Rank:
363
Virginia Tech
Virginia
,United States
Program Name
MEng in Machine Learning and Applications
Deadline
October 01st, 2023
Overview
View Official page
Master of Machine Learning and Applications is one of the best courses to choose from that offers
in-depth learning in a Algorithms and Machine Learning. An MS Degree in Algorithms and Machine Learning from the
Virginia Tech has consistently made its place among the top global universities.
International students prefer this course at the Virginia Tech due to its high graduate
employability rate.
Virginia Tech offers exceptional education quality, high-end practical learning
and ample work opportunities to its international students. After receiving their MS
Degree in Algorithms and Machine Learning from the Virginia Tech, students will be competent to
carry out extensive research work in the field.
The interactive curriculum, vast research opportunities and exceptional teaching
faculty at Virginia Tech offer students a life-altering learning experience. A
Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Algorithms and Machine Learning from the Virginia Tech is
a great choice for students who want to analyse the field in great depth.
Why Study Machine Learning and Applications at Virginia Tech
- 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
18 Months
Median Salary
$1,05,000
Ranking
#62
US World and News Report
#363
QS World University Rankings
Intake
Spring ( Apr - June )
Class Profile
Class Size
50
Average Age
25
Average Work Experience
2 Years
Diversity
Others:
10%International:
10%Maryland:
10%Washington, D.C.:
10%Virginia:
45%North Carolina:
15%Career Outcomes
Median Earnings After Graduation
$1,05,000 / year
Prospective Job Roles
Statistician
Product Manager
Research Scientist
Software Engineer
Teacher
Machine Learning Engineer
Entrepreneur
Other
Data Analyst
Self-employed
Quantitative Analyst
Data Scientist
Business Analyst
Researcher
Consultant
Operations Research Analyst
Top recruiters
Eligibility Criteria
English Proficiency Tests
IELTS
6.5
TOEFL
90
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
GRE
Statement of Purpose
Academic LOR
Resume
Application Deadlines
Standard Deadline | |
---|---|
Spring | Oct 1, 2023 |
Fees and Funding
Tuition Fees
$32,520 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
FAQs
An MS degree at Virginia Tech can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Virginia Tech website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at Virginia Tech 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.
A student can complete Machine Learning and Applications at Virginia Tech with in 18.
The deadline to submit an admission application for Machine Learning and Applications at Virginia Tech is Application deadline Spring (Standard Deadline) - date - 01/10/2023
The application fee to pursue Machine Learning and Applications at Virginia Tech is USD 75 for international students.
The annual tuition fee to pursue Machine Learning and Applications at Virginia Tech is USD 32520.
The Machine Learning and Applications at Virginia Tech has 3 semesters.
The submission of these scores mainly depends on the type of degree/ course selected at the Virginia Tech. 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 Virginia Tech requirements before submitting a score.
Machine Learning and Applications 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 Virginia Tech, they can easily pursue Machine Learning and Applications. 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.
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