Name: Master of Science
Price: 32520 USD

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QS Rank:

363

Virginia Tech

Virginia

United States

Overview

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There are numerous focus areas and types of masters programs one can pursue through higher education at Virginia Tech, like machine learning, artificial intelligence, data systems administration, and security. Some education options for an international student in data science at Virginia Tech include masters in data science, bachelors in data science, boot camps, and short courses.

Course Level	Post Graduation
Course Duration	12-14 months
Average Tuition Fee	INR 15-60 lakhs per year
Top Job Roles	Data Scientist, Data Analyst, Data Manager, Data Architect, etc.

Earning a master’s in data science can help one achieve a broad skill set that can be applied to numerous tech-related careers, such as data engineering, data architecture, computer programming, etc. As a student in the MS in Data Science degree program at Virginia Tech, one can expect to dive into essential concepts in the mentioned areas:

Applied Statistics
Database Systems and Data Preparation
Practical Machine Learning

Subjects Under Masters in Data Science at Virginia Tech

The syllabus for the Data Science Postgraduate courses will vary as per the specialisation and university/college chosen by an international student. However, certain MS in Data Science subjects are common for most courses. Apart from the final year projects and internship, the common Data Scientist masters program subjects at Virginia Tech are as follows:

Statistics
Coding
Business Intelligence
Data Structures
Mathematics
Algorithm
Programming
Software engineering
Artificial intelligence
Machine learning
Systems architecture

These subjects can be adjusted based on a university curriculum and specialisation.

Scope of MS in Data Science at Virginia Tech

Being in the list of the hottest courses, MS in Data Science at Virginia Tech offers immense opportunities for students with various intriguing and growth-oriented job roles.

The top job roles in the list include Data Scientist, Data Architect, Enterprise Architect, Data Administrator, Data Analyst, etc.
The top salaried sectors that an international student can explore after pursuing their data scientist masters program at VT are Media, Fossil Fuels, Petroleum, and Refinery, Education, Investment Banking and Markets, etc.
After pursuing this course at VT, the Data Scientists have a major contribution to the development and improvement of technology and advancements globally.

Duration

18 Months

Median Salary

$65,000

Ranking

#62

US World and News Report

#363

QS World University Rankings

Intake

Fall ( Sept - Nov )

Class Profile

Class Size

Average Age

Average Work Experience

1 Years

Diversity

Others:

10%

International:

10%

Maryland:

10%

Washington, D.C.:

10%

Virginia:

45%

North Carolina:

15%

Career Outcomes

Median Earnings After Graduation

$65,000 / year

Prospective Job Roles

Statistician

Research Scientist

Software Engineer

Machine Learning Engineer

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Actuary

Operations Research Analyst

Top recruiters

Eligibility Criteria

English Proficiency Tests

IELTS
6.5
TOEFL
80

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

	Standard Deadline
Fall	Jan 15, 2024

Fees and Funding

Tuition Fees

$32,520 / 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 Virginia offers a variety of scholarships for students pursuing a Master of Science in Data Analysis and Applied Statistics. These scholarships are based on academic merit, financial need, and other criteria. Some of the best scholarships available include the Dean's Scholarship, the Provost's Scholarship, and the Alumni Scholarship. These scholarships provide full or partial tuition waivers, as well as other financial benefits.

FAQs

A student can complete Data Analysis and Applied Statistics at Virginia Tech with in 18.
The deadline to submit an admission application for Data Analysis and Applied Statistics at Virginia Tech is Application deadline Fall (Standard Deadline) - date - 15/01/2024
The application fee to pursue Data Analysis and Applied Statistics at Virginia Tech is USD 75 for international students.
The annual tuition fee to pursue Data Analysis and Applied Statistics at Virginia Tech is USD 32520.
The Data Analysis and Applied Statistics 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.
Data Analysis and Applied Statistics 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 Data Analysis and Applied Statistics. 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 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.