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B.S. in Data Analytics

Long Island University, United States
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Course Overview

The undergraduate program will prepare students for the growing demand in industries for data-literate professionals who can understand and perform data analytics and apply their knowledge in decision-making in various practical fields. 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 Learning, 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

What You'll Study

1 Modules
  • Programming in Python

  • Data Analytics using Excel

  • Data Analytics with R and Python

  • Multivariate and Advanced Studies

  • Database Management

  • Data Structures and Algorithms

  • Data Visualization

  • Data Analytics Ethics

  • Intro to Fintech

  • Intro to Artificial Intelligence

  • Data Mining and Business Intelligence

  • Computational Genomics

  • Machine Learning

  • Deep Learning

  • Introduction to Modern Cryptography

  • Senior Capstone Project

Language Requirement

  • IELTS6.0
  • TOEFL78
  • PTE58
  • Duolingo79

Minimum Scores for full admission:

TOEFL: 75

IELTS 6.0

The following will be required to go to the English Language Institute:

No IELTS or TOEFL

IELTS below 6

TOEFL below 75

Ready to get started?

For any enquiries or further details, please don't hesitate to contact us. Let's take the next step in your academic journey together.

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