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QS Rank:

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267

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Rutgers University-New Brunswick

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New Jersey

United States

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

Course LevelPost Graduation
Course Duration12-14 months
Average Tuition FeeINR 15-60 lakhs per year
Top Job RolesData 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 Rutgers University-New Brunswick, 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 Rutgers University-New Brunswick

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 Rutgers University-New Brunswick 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 Rutgers University-New Brunswick

Being in the list of the hottest courses, MS in Data Science at Rutgers University-New Brunswick 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 Rutgers NB are Media, Fossil Fuels, Petroleum, and Refinery, Education, Investment Banking and Markets, etc.
  • After pursuing this course at Rutgers NB, the Data Scientists have a major contribution to the development and improvement of technology and advancements globally.
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Median Salary

$75,000

Ranking

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#55

US World and News Report

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#267

QS World University Rankings

Class Profile

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Class Size

200

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Average Age

25

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Average Work Experience

3 Years

Diversity

Others:

8%

New York:

12%

International:

4%

New Jersey:

64%

Pennsylvania:

6%

Connecticut:

4%

Admissions

Application Requirements

To be admitted to the Master of Science in Analytics program, applicants must have a bachelor's degree from an accredited institution with a GPA of 3.0 or higher. Applicants must also have strong analytical and problem-solving skills, as well as experience in working with data. The program also requires applicants to take the GRE General Test and the GRE Subject Test in Mathematics. In addition, applicants must submit a statement of purpose, a resume, and three letters of recommendation.

What Really Matters When Applying

  • Academic LOR

    Required

  • Transcript

    Required

  • Resume

    Required

Career Outcomes

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Median Earnings After Graduation

$75,000 / year

Prospective Job Roles

Statistician

Research Scientist

Software Engineer

Data Engineer

Machine Learning Engineer

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Operations Research Analyst

Top recruiters

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Fees and Funding

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 Rutgers University-New Brunswick Master of Science in Analytics program offers a variety of scholarships and financial aid opportunities to help students cover the cost of tuition and fees. Scholarships are available based on academic merit, financial need, and other criteria. The program also offers a tuition waiver for students who are admitted to the program with a 3.5 GPA or higher.
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    The Institute for Operations Research and the Management Sciences

FAQs

  • The submission of these scores mainly depends on the type of degree/ course selected at the Rutgers University-New Brunswick. 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 Rutgers University-New Brunswick requirements before submitting a score.

  • Analytics 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 Rutgers University-New Brunswick, they can easily pursue Analytics. 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 Rutgers University-New Brunswick can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Rutgers University-New Brunswick website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at Rutgers University-New Brunswick 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.

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