QS Rank:
39
New York University
New York
,United States
Program Name
Master of Science in Data Analytics and Business Computing
Deadline
October 15th, 2023
Overview
View Official pageThere are numerous focus areas and types of masters programs one can pursue through higher education at New York University, like machine learning, artificial intelligence, data systems administration, and security. Some education options for an international student in data science at New York University 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 New York University, 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 New York University
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 New York University 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 New York University
Being in the list of the hottest courses, MS in Data Science at New York University 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 NYU are Media, Fossil Fuels, Petroleum, and Refinery, Education, Investment Banking and Markets, etc.
- After pursuing this course at NYU, the Data Scientists have a major contribution to the development and improvement of technology and advancements globally.
Duration
12 Months
Median Salary
$1,10,000
Ranking
#25
US World and News Report
#24
The World University Rankings
#39
QS World University Rankings
Intake
Summer ( July - Sept )
Class Profile
Class Size
25
Average Age
28
Average Work Experience
3 Years
Diversity
Florida:
5%California:
15%Illinois:
4%Texas:
10%New York:
25%Others:
41%Career Outcomes
Median Earnings After Graduation
$1,10,000 / year
Prospective Job Roles
Statistician
Data Engineer
Data Visualization Specialist
Software Engineer
Research Scientist
Machine Learning Engineer
Marketing Analyst
Business Intelligence Analyst
Database Administrator
Data Analyst
Financial Analyst
Quantitative Analyst
Risk Analyst
Data Scientist
Business Analyst
Actuary
IT Consultant
Operations Research Analyst
Top recruiters
Eligibility Criteria
English Proficiency Tests
TOEFL
100
IELTS
7
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
Round 1 | |
---|---|
Summer | Oct 15, 2023 |
Fees and Funding
Tuition Fees
$68,400 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
The Google Scholarship Program
The Amazon Web Services Scholarship Program
The IBM Watson Scholarship Program
The SAS Scholarship Program
The Tableau Scholarship Program
FAQs
A student can complete Data Analytics and Business Computing at New York University with in 12.
The deadline to submit an admission application for Data Analytics and Business Computing at New York University is Application deadline Summer (Round 1) - date - 15/10/2023
The application fee to pursue Data Analytics and Business Computing at New York University is USD 120 for international students.
The annual tuition fee to pursue Data Analytics and Business Computing at New York University is USD 68400.
The Data Analytics and Business Computing at New York University has 4 semesters.
The submission of these scores mainly depends on the type of degree/ course selected at the New York University. 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 New York University requirements before submitting a score.
Data Analytics and Business Computing 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 New York University, they can easily pursue Data Analytics and Business Computing. 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 New York University can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official New York University website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at New York University 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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