Overview
The Computer and Data Science B.A. at New York University provides students with a sophisticated education at the intersection of computing technology and statistical analysis. This joint programme is designed to equip undergraduates with the technical expertise required to navigate and influence the rapidly evolving landscape of data-driven policy and technology. By merging two critical fields, the curriculum ensures that graduates are capable of both building complex software systems and extracting meaningful insights from massive datasets.
Why Computer and Data Science at New York University?
This programme is uniquely offered through a partnership between the Department of Computer Science and the Center for Data Science. Students benefit from the combined resources of two world-class academic units, gaining access to a curriculum that balances established computing principles with emerging predictive technologies. The interdisciplinary nature of the degree allows for a deep immersion into machine learning and efficient data management, preparing students to participate in the rollout of transformative global technologies.
Tuition Fee Breakdown
- International fee: USD 65622 per year
- National fee: USD 65622 per year
- Local fee: USD 65622 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum requires the completion of 18 courses, integrating computer science, mathematics, and data science. Modules may include:
- Computer Systems Organization
- Basic Algorithms
- Machine Learning
- Data Management and Analysis
- Causal Inference
- Responsible Data Science
- Linear Algebra
- Probability and Statistics
- Calculus
Careers with Computer and Data Science
Graduates are prepared for professional roles that require the ability to harness the power of data and build automated systems that predict outcomes of interest. The training enables students to pursue careers in industries focused on data mining, visualization, and large-scale system architecture. By gaining the ability to extract insights from increasingly large datasets, alumni are well-positioned to influence data science policies and lead technical innovation in both the public and private sectors.
Programme Structure
Courses include:
- Data Structures
- Computer Systems Org
- Predictive Analytics
- Processing Big Data for Analytics Applications
- Data Management and Analysis
- Causal Inference
- Responsible Data Science
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- New York City, United States
Disciplines
Computer Sciences Data Science & Big Data View 470 other Bachelors in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Standardized test scores (see NYU’s standardized testing requirements). Standardized testing is optional for the upcoming application term.
- A Self Reported Academic Record (SRAR). All applicants will be invited to complete this after submitting their application.
- English language testing if you have not completed at least 3 years of study where English is the sole language of instruction at the time of application submission and English is not your first language.
- Records of all college work that you have received academic credit for and does not appear on your high school transcript.
- The Common Application Mid Year Report with updated academic record if mid-year grades are available. This should show your first semester senior year grades.
Tuition Fees
-
International Applies to you
Applies to youNon-residents65622 USD / year≈ 65622 USD / year - Out-of-State65622 USD / year≈ 65622 USD / year
-
Domestic
Applies to youIn-State65622 USD / year≈ 65622 USD / year
Living costs
New York City
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Bachelor's scholarship opportunities for Computer and Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility