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Bachelors
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Computer Science & IT
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Bachelor in Business Data Science (AI) (BSc) - Woodland Park
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BACHELORS

Bachelor in Business Data Science (AI) (BSc) - Woodland Park

Berkeley College (Woodland Park)
Woodland Park, New JerseyUSA
On campus
Full-time
€25,545.60/year
 2786 Points
Duration
4 Years
Language
English

Program Description

In the bachelor in Business Data Science (AI) (BSc), you’ll learn in small classes with personal attention from instructors with professional experience to learn the in-demand skills required for this cutting-edge field.

Business data science is an in-demand multi-disciplinary career field that combines a range of skills that include analyzing large amounts of data, data mining, and programming skills, along with cutting-edge technologies such as Artificial Intelligence. A wide range of organizations depend on skilled professionals to help make crucial decisions and predictions.

Entry Requirements

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Curriculum

Year 1

Semester 1

Computer Applications

Writing and Research

College Algebra

Storytelling with Data

First Year Experience

Semester 2

Advanced Spreadsheet

Writing Through Literature

Financial Accounting

Artificial Intelligence

Programming for Computer Science and Data Science

Year 2

Semester 3

Introduction to Ethics

Machine Learning

Probability Statistics and Applied Regression

Public Speaking

Human Relations

Semester 4

Digital Marketing

SQL and Managing Data

Discrete Mathematics

The Confident Writer

Free Elective

Year 3

Semester 5

CRM and Enterprise Systems

Object-Oriented Programming

Applications of Calculus

Scientific and Technical Communications

Liberal Arts Elective

Semester 6

Data Security and Privacy

Humanities Elective

Social Science Elective

Business Elective

Liberal Arts Elective

Year 4

Semester 7

Advanced Programming for AI and Big Data

Global Fintech: AI, Blockchain and Financial Modeling

Liberal Arts Electives

Free Electives

Semester 8

Applied Deep Learning and Chatbots

Science Elective

Liberal Arts Elective

Free Electives

Learning Outcomes

  • Describe scientific, technical, and quantitative analysis and insights, orally and in written forms of communication to both technical and non-technical audiences.
  • Design and manage databases, and build data mining and machine learning models using best practices and patterns.
  • Demonstrate skills in programming, managing big data, and cloud computing.
  • Analyze and blend data to tell stories and draw conclusions, while evaluating source quality and spotting bias.
  • Integrate and apply learning in the context of real-world business applications, and develop ethical-moral reasoning to assess its implications.
  • Demonstrate knowledge about applications of artificial intelligence including chatbots, deep learning, and natural language processing.
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