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
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Comprehensive Curriculum: Covers key areas of data science such as statistical analysis, machine learning, data visualization, and big data technologies.
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Hands-on Learning: Includes practical labs, data analysis projects, and real-world applications.
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Internship Opportunities: Gain practical experience through internships with leading companies and research institutions.
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Experienced Faculty: Learn from experts who bring industry experience and academic excellence to the classroom.
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Flexible Learning Options: Offers both online and on-campus classes to accommodate different learning preferences.
Courses in This Program
Core Courses:
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Introduction to Data Science
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Principles of Management
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Financial Accounting
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Business Communication
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Business Statistics
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Computer Programming Fundamentals
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Database Management Systems
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Networking Fundamentals
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Cybersecurity Principles
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Systems Analysis and Design
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IT Project Management
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Operating Systems
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Web Development
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Cloud Computing
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Mobile Application Development
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IT Ethics and Professionalism
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IT Service Management
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Information Systems Strategy
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Emerging Technologies in IT
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Business Law