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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      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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