Program Description

The Master of Science in Data Analytics at Northridge University is designed to provide students with the technical skills and knowledge required to excel in the field of data analytics. This program focuses on equipping students with the ability to collect, analyze, and interpret complex data to drive informed decision-making in various industries. Our curriculum integrates advanced statistical techniques, machine learning, and data visualization tools to prepare students for the growing demand for data analytics professionals. With flexible online and on-campus options, Northridge offers a program that caters to the needs of working professionals and full-time students alike.

Core Courses

Introduction to Data Analytics
Statistical Methods for Data Analysis
Machine Learning
Data Mining
Data Visualization
Big Data Technologies
Database Management Systems
Predictive Analytics
Data Ethics and Privacy
Research Methods in Data Science

Elective Courses

Advanced Machine Learning
Natural Language Processing
Deep Learning
Business Analytics
Time Series Analysis
Data-Driven Decision Making
Artificial Intelligence
Geographic Information Systems (GIS) for Data Analytics
Applied Econometrics
Health Data Analytics

Program Highlights

• Comprehensive Curriculum: Covers essential areas such as statistical analysis, machine learning, data mining, and data visualization.

• Practical Learning: Emphasizes hands-on experience with real-world data projects and advanced analytics tools.

• Internship Opportunities: Provides opportunities for 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: Offers both online and on-campus classes to accommodate different learning preferences and schedules.

• Capstone Project: Involves a comprehensive project that allows students to apply their learning to real-world data problems.