Technology Programs

Data Science

Data Science at University of Brookstone prepares students to analyze complex data, extract meaningful insights, and support data-driven decision-making. This field equips learners with analytical, statistical, and technical skills required to work with large datasets and solve real-world problems.

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Field Overview

Field: Data Science
Category: Technology
Levels: Bachelor’s, Master’s, Doctoral
Mode: Online / Hybrid
Focus: Data Analysis, AI, Statistics, Insights

About Data Science

Data Science focuses on collecting, processing, and analyzing large volumes of data to uncover patterns, trends, and insights. It enables students to understand how data can be used to solve complex problems and support decision-making across industries.

Students develop expertise in statistics, machine learning, data visualization, and data engineering. The field opens pathways into careers such as data analyst, data scientist, machine learning engineer, and business intelligence specialist.

Core Skills Developed

Data analysis and statistical modeling
Machine learning and predictive analytics
Data visualization and reporting
Data management and processing techniques
Problem-solving using data-driven insights

Programs Offered

Study Data Science at Every Level

Choose from undergraduate, graduate, and doctoral programs designed to build expertise in data analysis, intelligent systems, and advanced analytics.

Bachelor’s Degree

Build foundational knowledge in statistics, data analysis, and computing for entry-level data-driven roles.

Master’s Degree

Advance your expertise in machine learning, big data analytics, and data-driven decision-making.

Doctoral Programs (PhD)

Conduct advanced research in data science, artificial intelligence, and large-scale data systems.

Take the Next Step

Start Your Business Education Journey

Explore the BBA at University of Brookstone and discover a flexible undergraduate pathway designed to support business knowledge, professional development, and future career opportunities.

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