Overview
Offering a comprehensive curriculum, this Online MS Data Science programme from the Lebanese American University - Online provides the knowledge and tools needed to drive strategic decisions and impactful results in any organization. The program is also conferred by LAU New York, making it a US accredited degree.
Key facts
- At Lebanese American University, we are committed to creating a globally diverse and culturally rich learning community that provides an accessible higher education experience no matter what your location or background. Our faculty excel in teaching, research and community service, bringing valuable industry expertise and relevant experience to the online classroom and providing one-on-one support.
- The Lebanese American University’s online MS in Data Science gives working professionals the essential tools and expertise to succeed in this fast-evolving field. Taught by a distinguished faculty, the program equips graduates with the advanced knowledge and practical skills to solve complex problems across various industries.
Get more details
Visit programme websiteProgramme Structure
Key Areas of Study:
- Computer Science
- Artificial Intelligence
- Business Insights
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
- StartingApply anytime.
- StartingApply anytime.
- StartingApply anytime.
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
Delivered
Campus Location
- Beirut, Lebanon
Disciplines
Data Science & Big DataExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
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
- Bachelor’s degree from a recognized university
- Official transcripts showing a minimum GPA of 2.5 on a 4.0 scale
- This program is taught in English. Applicants from programs where English is not the language of instruction must submit proof of proficiency by passing either the IELTS, TOEFL iBT, or Duolingo English Test, with minimum scores of 6.5, 80, and 115, respectively.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents8280 USD / year≈ 8280 USD / year -
Domestic Applies to you
Applies to youCitizens or residents8280 USD / year≈ 8280 USD / year
Additional Details
Cost per credit: $552
Funding
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 Online MS 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