Eligibility Requirements for New York University MSc in Data Science

  • TOEFL or IELTS; however, TOEFL is preferred (Required for all applicants whose native language is not English and who have not received a university degree in an English-speaking country)
  • Official college transcripts
  • Three letters of recommendation (we prefer all letters on letterhead)
    Statement of Academic Purpose
  • Personal History Statement (optional)
  • GRE scores (optional)

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/

About New York University

Introduction to New York University MS in Data Science

New York University (NYU) is a private research university in New York City. It was founded in 1831 and has over 51,000 students worldwide. NYU is known for its diverse undergraduate programs, top-ranked business, law, medicine, and engineering schools, and highly selective academic standards. The university's campus spans six blocks in the Greenwich Village neighbourhood and is home to several iconic buildings, including the Carnegie Library, the Great Hall, and the Brooklyn Bridge. 

New York University MSc in Data Science Program Description

Introduction to the New York University MS in Data Science

The New York University MS in Data Science is designed to provide students with the skills and knowledge needed to thrive in the rapidly expanding field of data science. From cutting-edge research opportunities to a robust curriculum, this program prepares individuals for success in various industries. Let's delve deeper into what sets this program apart.


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 is a list of electives for New York University MS in Data Science program:

  • One Data Science Elective, 3 credits. This elective course is chosen from a list of core courses approved and offered by the New York University MS in Data Science program.
  • General Electives, 18 points. Students can choose from various elective courses to customize their curriculum based on their interests and career goals. Elective courses may include natural language processing, computer vision, and deep learning.

Please note that the specific elective courses offered may vary each semester. It is recommended to check the course offerings for the current academic year on the NYU Center for Data Science website for the most up-to-date information.

Electives

Here is a list of electives for New York University MS in Data Science program:

  • One Data Science Elective, 3 credits. This elective course is chosen from a list of core courses approved and offered by the New York University MS in Data Science program.
  • General Electives, 18 points. Students can choose from various elective courses to customize their curriculum based on their interests and career goals. Elective courses may include natural language processing, computer vision, and deep learning.

Please note that the specific elective courses offered may vary each semester. It is recommended to check the course offerings for the current academic year on the NYU Center for Data Science website for the most up-to-date information.

New York University MS in Data Science
Required Course Information

Course descriptions can be found in NYU’s Albert Course Search. 

  • 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

The New York University MS in Data Science does not have a specific specialisation. Instead, the program allows students to customise their curriculum by choosing from various elective courses in particular subjects of interest, such as biology, economics, and more. This flexibility enables students to tailor their education to their interests and career goals.

Here is a list of clubs and associations at New York University MS in Data Science:

Club/Association Description 
CDS Student Groups A list of student groups and organizations related to data science at NYU
Graduate Student Clubs A list of graduate student clubs at NYU, including those related to data science
Religious, Spiritual, Secular, Interfaith Clubs A list of religious, spiritual, secular, and interfaith clubs at NYU, including those related to data science

Please note that the specific clubs and associations may vary each semester. It is recommended to check the New York University MS in Data Science website for the most up-to-date information on student groups and organizations.

Here are some extra activities that are done at New York University MS in Data Science:

  1. Extracurricular activities: Participation in school and non-school Extracurricular Activities is given special consideration in the admissions process.
  2. Clubs and organizations: Students can join various clubs and Organizations related to data science at NYU, such as CDS Student Groups and Graduate Student Clubs.
  3. Research groups: Students can participate in research groups at NYU CDS, which focuses on various areas of data science.
  4. External degree programs: Some external degree Programs require minimal or no classroom attendance, allowing students to gain experience in data science outside of traditional classroom settings.

Please note that the specific activities may vary each semester. It is recommended to check the New York University MS in Data Science website for the most up-to-date information on student groups and organizations.

 

New York University MSc in Data Science Fee Structure

Annual Tuition Fees for 2 Semesters - $38,826. 

20 Credits - $38,826. 

16 Credits - $38,826. 

Total Tuition fees for 4 Semesters - 24 Months (2 years) - $77,652.

Application fees - $130 

 

Note: - The amount may vary from the official website. 

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

    Employment overview at New York University MS in Data Science:

    1. Jobs: The NYU Center for Data Science (CDS) lists current open positions on its website. Students can apply for these positions to gain experience in data science.
    2. Student Career Placement & Professional Development: NYU CDS provides resources and support for students to help them develop their careers in data science.
    3. Research Groups: Students can participate in research groups at NYU CDS, which focuses on various areas of data science. This experience can be valuable for students pursuing a career in data science research.
    4. Master's in Data Science: The NYU CDS offers a Master's in Data Science program designed to prepare students for careers in data science and related fields. The program includes a capstone project and Practical Training experience, providing students with hands-on experience applying their data science skills professionally.

    Please note that the specific employment opportunities may vary each semester. It is recommended to check the NYU Center for Data Science website for the most up-to-date information on job openings and career resources.

    100,000

    Average Starting Salary

    New York University MSc in Data Science Employment Statistics

    New York University MS in Data Science, After Graduation Placement 

    Below is information on where our graduate alumni have worked or studied after graduating from the Center for Data Science.

    Median MS Salary - $120,000 

    Sectors  Major Companies  Percentage
    Technology  Meta 30%
    Financial  Goldman Sachs 16.67%
    Media & Entertainment: Health  Spotify 10%
    Biotech and Health  Didi Lab USA 3.33%
    Other Spotify, American Express, Walmart, etc.  33.33%

    *Please note that the following data presented is an aggregate of responses from CDS’ graduate exit survey.

    Companies Recruiting New York University MSc in Data Science Graduates

    New York University MS in Data Science graduates typically hold job titles such as:

    1. Data Analyst 2. Data Scientist
    3. Machine Learning Engineer 4. Business Intelligence Analyst
    5. Data Engineer 6. Statistician 7. Software Engineer
    8. Data Modeling Specialist 9. Research Scientist
    10. Data Visualization Specialist

    Please note that the specific job titles may vary depending on the individual's interests, skills, and experience. It is recommended to check the NYU Center for Data Science website for the most up-to-date information on job openings and career resources.

    Here are the top recruiters for New York University MS in Data Science:

    Recruiter Description 
    Google  One of the top recruiters for NYU CDS MSc in Data Science
    Facebook  Another top recruiter for NYU CDS MSc in Data Science
    Microsoft  A significant recruiter for NYU CDS MSc in Data Science
    Amazon  A major recruiter for NYU CDS MSc in Data Science
    Apple  A major recruiter for NYU CDS MSc in Data Science[
    IBM  A significant recruiter for NYU CDS MSc in Data Science
    JPMorgan Chase A major recruiter for NYU CDS MSc in Data Science
    Goldman Sachs A significant recruiter for NYU CDS MSc in Data Science
    LinkedIn  A major recruiter for NYU CDS MSc in Data Science[

    Please note that the specific recruiters may vary each semester. It is recommended to check the NYU Center for Data Science website for the most up-to-date information on job openings and career resources.

     


    Employment Overview URL: https://cds.nyu.edu/jobs/

    New York University MSc in Data Science Alumni Info

    Alumni information for New York University MS in Data Science:

    1. CDS Alumni Council: The NYU Center for Data Science has an Alumni Council that supports the professional development of its graduates.
    2. Alumni Spotlights: The NYU CDS website features alumni spotlights, showcasing the successes and achievements of its graduates.
    3. Student Groups: NYU CDS has student groups and organizations related to data science, which can provide networking opportunities for alumni.
    4. CDS Academic Integrity: The NYU CDS upholds academic integrity, ensuring its graduates are well-prepared for their careers.
    5. Master's in Data Science: The NYU CDS offers a Master's in Data Science program designed to prepare students for careers in data science and related fields.
    6. Master's in Data Science Tracks: The NYU CDS offers various tracks within its Master's in Data Science program, allowing students to specialize in specific areas of interest.

    Please note that the specific alumni information may vary each semester. It is recommended to check the NYU Center for Data Science website for the most up-to-date information on alumni resources and opportunities.

    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

    New York University MS in Data Science - Financial Aid

    CDS offers limited tuition scholarships to selected students admitted to the program. All applicants for admission will be considered for these awards competitively. These scholarships will cover a portion of the tuition costs for up to two years.

    NYU's Commitment to Affordability
    Since 2021, NYU has met the complete demonstrated needs of our traditional first-year undergraduate students in New York without expecting students to take out loans.

    President Linda G. Mills has expanded this commitment by announcing the NYU Promise.  Starting in Fall 2024, all undergraduates who begin as full-time first-year students in New York will not have to pay tuition if they have family income under $100,000 and hold typical assets.

    The NYU Promise
    For first-year undergraduate students admitted to the NYU New York campus:

    • Families with income less than $100,000 will not have to pay tuition
    • New York University MS in Data Science will meet 100% demonstrated need 
    • Scholarships will be adjusted to meet tuition increases each year

    For information on financial aid at NYU, visit NYU’s Financial Aid Page.

    What makes New York University MS in Data Science unique?

    New York University MS in Data Science (MSDS) program is unique for several reasons:

    1. Highly selective program: The New York University MS in Data Science program is designed for students with a strong mathematics, computer science, and statistics background. Admission to the program is highly competitive, ensuring that only the most qualified candidates are accepted.
    2. Customizable curriculum: The New York University MS in Data Science curriculum allows students to customize their coursework by choosing from various electives in specific subjects of interest, such as biology, economics, and more.
    3. Capstone project: One of the critical features of the New York University MS in Data Science curriculum is a capstone project that allows students to apply their knowledge and skills to a real-world problem, providing valuable experience and demonstrating their ability to work on complex data science projects.
    4. Industry-targeted coursework: The New York University MS in Data Science program requires more industry-targeted coursework, ensuring that students are well-prepared for careers in data science and related fields.
    5. Practical Training experience: The New York University MS in Data Science program also includes a Practical Training experience, providing students with hands-on experience professionally applying their data science skills.

    Contact Information for New York University MS in Data Science

    Whom should I contact in case of any doubts?

    New York University MS in Data Science
    Inquiries

    1. Admissions and Master’s and PhD General Information
    cds-admissions@nyu.edu

    2. Undergraduate General Information
    cds-undergraduate@nyu.edu

    3. Academics
    Kathryn Angeles, Director of Academic and Student Affairs | kangeles@nyu.edu

    4. External Outreach and Partnerships
    cdsindustry@nyu.edu

    5. Content and Social Media
    cds-communications@nyu.edu

    6. Student Recruiting and Employment
    Tim Baker, Assistant Director of Undergraduate Programs | tb116@nyu.edu
    Tina Lam, Assistant Director of Graduate Programs | tina.lam@nyu.edu

    7. Location
    7th floor, 60 5th Ave, New York, NY, 10011

    9. Press
    James Devitt, Managing Director, Public Affairs | james.devitt@nyu.edu

    10. General
    cds@nyu.edu

    Conclusion: Should you apply to New York University MSc in Data Science?

    Whether you should apply to New York University MS in Data Science depends on your circumstances and goals.

    Here are some factors to consider:

    1. Admission requirements: The New York University MS in Data Science program has specific admission requirements, including a strong background in mathematics, computer science, and statistics. If you have a 3.0 GPA, 100 TOEFL score, and average marks in 12th, you may still be eligible to apply, but it is recommended to check the admission requirements on the NYU CDS website for the most up-to-date information.

    2. Competitive program: The New York University MS in Data Science program is highly selective, and successful applicants come from various undergraduate backgrounds. If you have a strong interest in data science and a solid academic background, you may still have a chance of being accepted into the program.

    3. Customisable curriculum: The New York University MS in Data Science program allows students to customise their curriculum by choosing from various electives in specific subjects of interest, such as biology, economics, and more. This flexibility enables students to tailor their education to their interests and career goals.

    4. Practical Training experience: The New York University MS in Data Science program includes a Practical Training experience, providing students with hands-on experience applying their data science skills professionally. This experience can be valuable for students seeking practical data science experience.

    Career opportunities: The New York University MS in Data Science program prepares students for careers in data science and related fields, providing a strong foundation in data science's theoretical and practical aspects. Graduates of the program typically hold job titles such as Data Analyst, Data Scientist, Machine Learning Engineer, and more.

    In conclusion, if you have a strong interest in data science and a solid academic background, you may still have a chance of being accepted into the New York University MS in Data Science program. It is recommended to check the admission requirements on the NYU CDS website and consider the program's customizable curriculum, Practical Training experience, and career opportunities before deciding.

     

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    I want to become a data scientist...what should I choose in my masters...CS or data science?Or Can I do my masters in CS and become a data scientist ?I'm a CS major !?

    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
    Over 90% of individuals working in this field pursue an MS in Data Science abroad because the career requires an explicit understanding of the methods, modules, and processes. The Masters of Data Science programme is popular among Indian students due to the broad scope of learning, growth, and career opportunities. The most common university programme is the MSc Data Science or MS Data Science. If you have any further questions just ask me.

     

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    NYU Stern School of Business is highly regarded for its rigorous academic programs and its strategic location in the heart of Manhattan. It offers a broad range of undergraduate, graduate, and executive programs, with a particularly strong reputation in finance and international business. Stern's faculty includes leading scholars and practitioners, which ensures that the education delivered is both theoretically sound and practically relevant. The school is also known for its innovative approach to business education, incorporating global business knowledge and ethical considerations into its curriculum.

    Stern's global orientation is evident through its multiple international programs and partnerships, allowing students to gain firsthand global business experience. Furthermore, Stern provides excellent career support services, evidenced by the high employment rates of its graduates, who often secure positions in top-tier firms. The school's commitment to research and leadership in business education makes it a top choice for prospective students looking for a comprehensive and dynamic business education in one of the world's most vibrant cities.

     

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    The NYU Stern MBA program prides itself on attracting a diverse and accomplished group of students. The class profile for the full-time MBA Class of 2025 showcases this diversity and academic excellence. The class comprises 324 students from various professional backgrounds and industries, reflecting the program’s inclusive ethos. 

    Academically, the class demonstrates strong credentials with an average GMAT score of 732 and an average undergraduate GPA of 3.61. This consistency in high academic standards underscores Stern’s commitment to excellence. Furthermore, the class includes 41% women, 32% international students, and 12% underrepresented minorities, which illustrates the school’s dedication to fostering a diverse and supportive learning environment. 

    The students come from a wide range of professional backgrounds including finance, consulting, technology, media, and healthcare. This variety enriches classroom discussions and networking opportunities, preparing students for leadership roles in a global business environment. The program also emphasizes emotional intelligence (EQ) alongside traditional academic intelligence (IQ), ensuring that graduates are well-rounded leaders equipped to handle complex challenges. 

    For prospective students, the NYU Stern MBA offers not just academic rigor but also an unparalleled experience in the heart of New York City, providing access to numerous professional and cultural opportunities. The admissions process is competitive, reflecting the high caliber of the student body, and it includes various deadlines throughout the year to accommodate different applicant timelines. 


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