Overview
In addition to the common core curriculum, the upper-division coursework innovatively consists of the following modules:
- Foundational Module: programming in Python, Data Analytics with Excel, R, and Python, Data Structures and Algorithms
- Core Module: Database Management, Data Visualization, Advanced Statistics, Data Mining and Business Intelligence, Machine Leaning, Intro to AI
- Applied Module: Data Analytics Ethics, Intro to Fintech, Intro to Modern Cryptography, Computational Genomics, Deep Learning, and Capstone Project
- Elective Module: elective courses can be taken in other programs such as Accounting, Artificial Intelligence, Business Administration, Computer Science, Digital Engineering, Entrepreneurship, Fashion Merchandising, Finance, Marketing, and Sports Management
Careers
The B.S. in Data Analytics (BSDA) from Long Island University (LIU) is a STEM designated degree program that prepares students for an indispensable set of careers with the responsibilities of harnessing an enormous amount of data. Students in the BSDA program will learn cutting-edge technologies in data analytics and build skills to produce practical and meaningful insights for substantial competitive advantages.
Programme Structure
Courses include:
- Data Analytics with R and Python
- Multivariate and Advanced Studies
- Database Management
- Data Structures and Algorithms
Data Visualization
- Business Intelligence
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
- StartingApply anytime.
LIU has a rolling admissions policy, meaning that you can apply up until the beginning of the semester.
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
Business Intelligence Data Analytics View 279 other Bachelors in Data Analytics 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
- 1. LIU online application completed and signed. *
- 2. Transcripts for all high school and post-high school institutions attended.
- 3. Proof of English language proficiency testing (we accept IELTS, TOEFL, PTE, Duolingo, SAT and ACT).
- Applicants may be eligible for an English language proficiency testing waiver based on citizenship and/or prior education where English is the first language.
- 4. SAT or ACT scores (optional).
- 5. Two Letters of Recommendation.
- 5. Personal Statement or Essay.
- 6. Some programs have additional requirements.
- * LIU accepts the Common Application.
Tuition Fees
-
International Applies to you
Applies to youNon-residents41874 USD / year≈ 41874 USD / year - Out-of-State41874 USD / year≈ 41874 USD / year
-
Domestic
Applies to youIn-State41874 USD / year≈ 41874 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 Data Analytics.
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