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

ExamRequirement
300
7.5
105

Program Eligibility URL:https://cds.nyu.edu/masters-admissions/

New York University MSc in Data Science Rankings

World University Ranking- QS 2021

9th

PG Computers- THE (Times Higher Education) 2021

25

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: Includes statistics, machine learning, and data management.
  • Electives: Options include natural language processing, big data technologies, and data visualization.
  • Capstone Project: Practical application of learned skills on real-world data science problem.

Electives

Here's an electives of the program curriculum for the MS in Data Science at NYU:

  • Core Courses: Includes statistics, machine learning, and data management.
  • Electives: Options include natural language processing, big data technologies, and data visualization.
  • Capstone Project: Practical application of learned skills on real-world data science problem.

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

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

 
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.

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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    New York University MSc in Data Science Employment

    Here's an overview of key aspects of NYU's MS in Data Science program:

    • Jobs: Graduates typically secure roles in diverse sectors like tech, finance, and healthcare.
    • Student Career Placement & Professional Development: NYU offers robust support through career services, helping students transition from academia to industry.
    • Research Groups: Opportunities to join research initiatives in areas such as AI, machine learning, and big data.
    • Master's in Data Science: The program equips students with essential skills for data-driven roles, emphasizing both theory and practical applications.

    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 
    Google  Leading tech company known for innovative products and data-driven solutions.
    Facebook  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

    • Tech Companies: Alumni work at Google, Facebook, Amazon, and Microsoft.
    • Financial Firms: Positions at Goldman Sachs, JPMorgan Chase, and Morgan Stanley.
    • Healthcare Organizations: Roles at Pfizer, Johnson & Johnson, and Mount Sinai Health System.
    • Startups and Industry Leaders: Contributions to innovative startups and various other leading companies.

    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.

    0

    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:

    • Introduction: Introduce yourself and your background, including your academic and professional experiences, and why you are interested in pursuing a Master's in New York University MS in Data Science.
    • Academic background: Discuss your undergraduate studies, including your major, GPA, and any relevant coursework or research projects.
    • Professional experience: Describe your work experience, including any data-related projects or responsibilities, and how they have prepared you for the New York University MS in Data Science program.
    • Motivation: Explain your motivation for pursuing a New York University MS in Data Science, including your career goals and how the program will help you achieve them.
    • Research interests: Discuss your research interests and how they align with the program's curriculum and faculty expertise.
    • Conclusion: Summarize your qualifications and why you would be a strong candidate for the New York University MS in Data Science program.

    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.

    • NYU Center for Data Science Fellowships: Merit-based fellowships awarded to outstanding applicants.
    • DeepMind Scholarship: Specifically for students from underrepresented backgrounds in AI.
    • Graduate School of Arts and Science Scholarships: Various scholarships based on academic excellence and financial need.
    • External Scholarships: Various external scholarships and grants available for international students.

    What makes New York University MS in Data Science unique?

    Here are some key points that make NYU's School of Data Science unique:

    • Interdisciplinary Approach: Integrates computer science, statistics, and mathematics.
    • Location: Situated in New York City, providing ample industry connections and opportunities.
    • Research Opportunities: Access to cutting-edge research projects in various aspects of data science.
    • Expert Faculty: Taught by leading experts in the field.
    • Practical Experience: Emphasizes real-world applications and hands-on learning.

    Contact Information for New York University MS in Data Science

    Whom should I contact in case of any doubts?

    Email: cds@nyu.edu
    Phone: +1 212-998-7400
    Address: NYU Center for Data Science, 60 5th Ave, 7th Floor, New York, NY 10011, USA

    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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    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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