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Bachelor of Science in Data Science

Why Choose the Program?

The Bachelor of Science in Data Science at Northridge University provides a comprehensive education that prepares students for the fast-growing field of data science. This program is designed to equip students with the analytical and technical skills necessary to collect, analyze, and interpret complex data to inform decision-making. Our curriculum covers essential topics such as statistical analysis, machine learning, data visualization, and big data technologies. With experienced faculty, state-of-the-art facilities, and real-world internship opportunities, Northridge offers an ideal environment for aspiring data scientists.

Career Opportunities

Graduates of the Forensic Science program are well-prepared for various roles, including:

Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
Data Engineer
Quantitative Analyst
Statistician
Big Data Specialist
Research Scientist
Data Consultant

Program Details

Duration: 4 years (Full-time)
Total Credit Hours: 120 credit hours
Mode of Delivery: Online and On-campus options available
Internship: Mandatory internship for practical experience

Program Highlights

  • Comprehensive Curriculum: Covers key areas of data science such as statistical analysis, machine learning, data visualization, and big data technologies.

  • Hands-on Learning: Includes practical labs, data analysis projects, and real-world applications.

  • Internship Opportunities: Gain practical experience through internships with leading companies and research institutions.

  • Experienced Faculty: Learn from experts who bring industry experience and academic excellence to the classroom.

  • Flexible Learning Options: Offers both online and on-campus classes to accommodate different learning preferences.

Courses in This Program

Core Courses:

  • Introduction to Data Science

  • Principles of Management

  • Financial Accounting

  • Business Communication

  • Business Statistics

  • Computer Programming Fundamentals

  • Database Management Systems

  • Networking Fundamentals

  • Cybersecurity Principles

  • Systems Analysis and Design

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  • IT Project Management

  • Operating Systems

  • Web Development

  • Cloud Computing

  • Mobile Application Development

  • IT Ethics and Professionalism

  • IT Service Management

  • Information Systems Strategy

  • Emerging Technologies in IT

  • Business Law

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