Overview
Key Features
Students at the Data Analytics and Business Computing MSc program from New York University will learn how to use a data-driven approach to solve business challenges in the era of big data.
With the interdisciplinary nature of business analytics, our program offers a broad yet rigorous curriculum in business (finance, marketing, revenue management, operations), data science (statistics, econometrics, data mining, data visualization), and management science (optimization, stochastic modeling, simulation). We emphasize both quantitative and technical methods and their applications in different functional areas in business. Students will benefit from the extensive industry experience of our faculty and seasoned professionals in the field.
Learning Objectives
- Develop data-analytic thinking and acquire knowledge of various quantitative and technical methods to make better business decisions and derive values.
- Learn how to effectively deal with vast amounts of data through the whole data management process, from the initial data acquisition to the final data analysis and presentation.
- Learn various methods and techniques to analyze data to generate business insights and to build predictive models to forecast and simulate future outcomes.
- Learn how to formulate business problems as formal mathematical models and obtain optimal solutions to the formulated models.
- Develop practical skills in programming using programming languages such as Python and R.
- Learn how to apply data analytics, data management and data-driven decision making skills across various functional areas of an organization, including Finance, Marketing and Operations.
Programme Structure
Courses include:
- Statistics and Data Analysis
- Stochastic Modeling and Simulation
- Data Visualization
- Business Communication
- Operations Management
- Machine Learning
- Generative AI: From Data to Business Workflow
Key information
Duration
- Full-time
- 12 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
- Shanghai, China
- New York City, United States
Disciplines
Business Intelligence Computer Sciences Data Analytics View 3 other Masters in Data Analytics in ChinaWhat 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 Information – GMAT or GRE (and TOEFL if required);
- Transcripts & Degrees;
- Professional Information;
- Essays;
- Recommendation Letter;
- EQ endorsements must be submitted online;
- International Student Supplement;
- Application Fee: $120.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at New York University and/or in your country of interest, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents88876 USD / year≈ 88876 USD / year -
Domestic Applies to you
Applies to youCitizens or residents88876 USD / year≈ 88876 USD / year -
In-State Applies to you
Applies to you88876 USD / year≈ 88876 USD / year
Living costs
Shanghai
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
Interested in financing your studies? Find a student loan that works for you.
Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
- Flexible loans from US$2,001 to US$100,000
- Fixed interest rates -- no inflation surprises
- No upfront fees or prepayment penalties
- Accepted at 500+ universities across the U.S. & Canada
- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
Funding
This programme is taught in different countries. Which country are you interested in?
- China
- United States
Work Permits
International students in China are generally not permitted to work while studying. Limited exceptions may apply with special approval from your university and authorities. Always confirm the current rules locally.
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 Master's scholarship opportunities for Data Analytics and Business Computing.
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