Eligibility Requirements for New York University MSc in Data Science
Here's a concise summary of the eligibility requirements for the Master of Science in Data Science program at New York University.
Requirement
Details
Bachelor’s Degree
Bachelor’s degree in a related field like Statistics, Computer Science, Mathematics, etc.
Math Competencies
Knowledge in Calculus, Linear Algebra
Programming Skills
Experience in programming, preferably in Python or R
Language Proficiency
TOEFL or IELTS scores (for non-native English speakers)
Transcripts
Official college transcripts required
Letters of Recommendation
Three letters, preferably on letterhead
Statement of Purpose
Required to articulate academic and professional goals
GRE Scores
Optional but recommended
3.80/4
Bachelor's GPA Requirement
No specific degree
UG Requirement
min 0 years (no max limit)
Work Experience Required
Test Scores Requirement
| Exam | Requirement |
|---|---|
 | 300 |
 | 7.5 |
 | 105 |
Program Eligibility URL:https://cds.nyu.edu/masters-admissions/
New York University MSc in Data Science Rankings
About New York University
The NYU Center for Data Science (CDS) is a premier institution dedicated to advancing the field of data science. It aims to foster collaboration across various disciplines, merging statistical theory, computer science, and data analysis to solve complex problems and encourage innovation. CDS offers robust graduate programs that emphasize both theoretical knowledge and practical application, equipping students with the skills needed to thrive in various industries.
New York University MSc in Data Science Program Description
The Master of Science in Data Science program at NYU is designed to provide a strong foundation in data science principles, combining coursework in machine learning, big data, and statistical methods with practical applications. Students engage in a capstone project to solve real-world problems, enhancing their learning experience. The program also offers a range of electives, allowing students to specialize in areas like natural language processing and data visualization.
Program URL:https://cds.nyu.edu/masters-program/
Program Curriculum for New York University MS in Data Science
Program Curriculum URL:https://cds.nyu.edu/masters-curriculum/
Here's an electives of the program curriculum for the MS in Data Science at NYU:
Core Courses
New York University MS in Data Science: Required Course Information
- DS-GA 1001: Introduction to Data Science
- DS-GA 1002: Probability and Statistics for Data Science
- DS-GA 1003: Machine Learning
- DS-GA 1004: Big Data
- DS-GA 1006: Capstone Project and Presentation
Specialization
In the MS in Data Science program at NYU, students can choose to specialize in several areas through elective courses. These specializations help tailor the degree to specific interests and career goals. Common areas of specialization include:
- Natural Language Processing
- Deep Learning
- Data Visualization
- Big Data Technologies
- Advanced Machine Learning
Clubs And Association
Here's a table summarizing some key clubs and associations at NYU relevant to data science students:
| Club/Association | Description |
| CDS Student Groups | Focused on connecting data science students for academic collaboration and social activities. |
| Graduate Student Clubs | Offers various clubs across different disciplines, including tech and analytics. |
| Religious, Spiritual, Secular, Interfaith Clubs | Supports diverse religious and philosophical communities, providing spaces for spiritual growth and dialogue. |
These groups provide students with networking opportunities, professional development, and personal growth within the NYU community.
Extra Activites
Here are some extra activities available for students in the MS in Data Science at NYU:
- Extracurricular activities: Participate in hackathons, coding competitions, and data science meetups.
- Clubs and organizations: Join student groups such as the Data Science Student Association or Tech@NYU.
- Research groups: Engage with faculty-led research in areas like machine learning, AI, and big data.
- External degree programs: Explore dual degree options or special programs that combine data science with other disciplines.
New York University MSc in Data Science Fee Structure
The fee structure for the Master of Science in Data Science program at New York University is designed around a per-credit payment system. Here are the key points regarding the fee structure:
Here is a detailed breakdown of fees structure for University of New York Data Science MS program:
Fee Description
Fee Amount
Tuition Cost (per credit)
Approximately $2,286
Total Credits Required
36 credits
Total Tuition Cost
Approximately $82,296
Additional Fees
Varies (includes registration, services, etc.)
Application Documents for New York University MSc in Data Science
Mandatory Application Documents
IELTS/TOEFL/DTE/PTE
GRE
Program Application URL:https://cds.nyu.edu/masters-admissions/
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Start My Prep NowNew York University MSc in Data Science Employment
Here's an overview of key aspects of NYU's MS in Data Science program:
100,000
Average Starting Salary
New York University MSc in Data Science Employment Statistics
Graduates of NYU's MS in Data Science program have an overall employment rate of 95% within six months of graduation. The average starting salary for these graduates is $120,000 per year. Common job titles include Data Scientist, Data Analyst, and Machine Learning Engineer.
Sectors
Major Companies
Percentage
Technology
Google, Facebook, Amazon, Microsoft
30%
Financial
Goldman Sachs, JPMorgan Chase, Morgan Stanley
25%
Media & Entertainment: Health
Netflix, Disney, Warner Bros
15%
Biotech and Health
Pfizer, Johnson & Johnson, Mount Sinai Health System
20%
Other
Various startups and other industry leaders
10%
Companies Recruiting New York University MSc in Data Science Graduates
Here's a table summarizing top recruiters and their descriptions for graduates of NYU's MS in Data Science program:
Recruiter
Description
Leading tech company known for innovative products and data-driven solutions.
Social media giant focusing on connecting people and data analytics.
Amazon
E-commerce and cloud computing leader with extensive data science applications.
Microsoft
Tech powerhouse with diverse data-driven products and services.
Goldman Sachs
remier investment banking and financial services firm.
JPMorgan Chase
Global financial services leader utilizing data for banking and investments.
Morgan Stanley
Major financial institution focusing on wealth management and investment banking.
McKinsey & Company
op consulting firm with strong emphasis on data analytics and strategy.
Deloitte
Leading consulting firm offering data-driven advisory services.
Employment Overview URL: https://cds.nyu.edu/jobs/
New York University MSc in Data Science Alumni Info
Letter of Recommendation for New York University MSc in Data Science
There is no specified format for LOR at New York University MS in Data Science; here is the general format:
1. Introduction - It will include the referee's details, how the referee knows you, and how long he has known you.
2. Strengths - We will follow the introduction with three strength paragraphs highlighting specific skills in each para. Each para will have a unique instance aligned with the strength mentioned.
3. Weakness —To highlight a learning curve, we mention a weakness, which is backed by an example of how the referee guided the applicant in overcoming this weakness and observed his growth.
4. Conclusion - Finally, we mention how the applicant fits this role and will contribute to the esteemed university.
So, as you know, this is a general format. For the most up-to-date information on the program requirements and application process, it would be best for you to check the New York University MS in Data Science website.
Statement of Purpose for New York University MSc in Data Science
There is no specific/standard format that the New York University MS in Data Science follows; however, a general SOP (Statement of Purpose) format for the New York University MS in Data Science application could include the following sections:
Please note that this is a general format. For the most up-to-date information on the program requirements and application process, it is recommended that you check the New York University MS in Data Science website.
New York University MSc in Data Science Scholarships available for International Students
NYU offers several scholarships for international students in the MS in Data Science program, including merit-based fellowships and the DeepMind Scholarship for underrepresented backgrounds. Additional support is available through the Graduate School of Arts and Science and external scholarships.
What makes New York University MS in Data Science unique?
Here are some key points that make NYU's School of Data Science unique:
Contact Information for New York University MS in Data Science
Whom should I contact in case of any doubts?
Conclusion: Should you apply to New York University MSc in Data Science?
NYU's MS in Data Science program offers various scholarships to support international students, including merit-based fellowships and the DeepMind Scholarship. Additional financial aid is available through the Graduate School of Arts and Science and external sources. These scholarships help make the program accessible to talented students from around the world.
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Have Queries about New York University?
Get Answers from Alums
Data Science is an important aspect of many industries because it helps people understand big data and how it can be used effectively in businesses or organisations with the scope of communication and programming. Data science works with structured and unstructured data, which subject matter experts sort to form a product or explanatory analysis. Data Science has advanced technology and made it easier to connect and communicate. Masters in Data Science Course Eligibility:
English Proficiency Test: IELTS or PTE or TOEFL
Entrance Exam: GRE and GMAT (depends on the specific university)
Bachelor’s degree from a relevant university
Resume/CV
Letter of Recommendation
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