Data Science, Minor

The Data Science minor provides students with a broad background in the foundations of data analysis. It focuses on teaching students to convert raw data into meaningful insights and offers flexibility for students to specialize in areas of interest through electives and practical experience via internships and capstone projects.

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Program Overview

The Data Science minor offers students training in data analysis. Learn to convert raw data into meaningful insights using advanced techniques like data mining and machine learning and develop the ability to build and assess data-based models as well as skills in data wrangling and data management. You will also learn how to visualize, conceptualize data, and extract meaning for relevant audiences while cultivating an understanding of the ethical and privacy aspects of data in different contexts.

Why study Data Science

Data Science Is In Demand

Data science is one of the fastest-growing fields with employment projected to grow by 35% between 2022-2032.

Hands-On Learning

CECS partners with industry to provide students with real-world experience in data science through internships, co-ops, capstones, and research projects.

Specialize Your Interests

The flexibility and interdisciplinary nature of the CECS data science minor gives students the opportunity to specialize their studies to align with their interests.

Career Opportunities

According to the Bureau of Labor Statistics, Data Science employment is projected to grow by 35% between 2022-2032, demonstrating the demand for graduates with data science skills.

Real-World Learning

CECS students get hands-on, real world experience in the field of data science through paid, for-credit internships, project-based learning, and research opportunities.

Transferrable Skills

Data science professionals are needed across a wide variety of fields, including computer system design, insurance, management of enterprises, technical consulting, and research.

What can you do with a Data Science minor?

Data Scientists are needed across sectors like finance, marketing, research, sports, and healthcare to cultivate and analyze data and use that data to drive decision-making. Here are just a few career opportunities for a Data Science minor.

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Data Analyst

A data analyst collects, cleans, and analyzes data to identify patterns and insights that help organizations make informed decisions. They create visualizations and reports to communicate findings and provide actionable recommendations to stakeholders.

Market Researcher

A market analyst studies market conditions to assess potential opportunities, gathering and analyzing data on consumers, competitors, and market trends. They provide insights and forecasts to help develop marketing strategies and make informed decisions.

Data Architect

A data architect designs and manages an organization’s data infrastructure, ensuring data is stored, integrated, and accessible efficiently and securely. They develop data models and establish standards for data management.

Sports Analyst

A sports analyst evaluates the performance and strategies of athletes and teams by analyzing game statistics, player data, and historical trends. They provide insights and predictions to inform coaching decisions, team strategies, and media commentary.

Featured Courses

Data Science courses are comprehensive and hands-on, equipping students with the skills required in today’s data-driven world.

DATA 101

Data Knowledge and Discovery

Introduction to the essential elements of data science through the examination of data sets drawn from a variety of fields. Explores data collection and management, exploration and visualization of data, modeling, computing, and ethical issues associated with data science.

DATA 202

Data Management and Visualization

Introduction to foundational concepts and techniques in the management and presentation of data for effective data-informed decision making. Explores data storage and indexing strategies, data warehousing, metadata management, visualization of time-series and geospatial data, and best practices for presenting data to inform decision making.

DATA 102

Data Stewardship and Ethics

Overview of the data life cycle, including creation, collection, assurance, description, discovery, integration, use, reuse, and preservation. Explores data management principles and the development and implementation of data life cycle management plans. Examines the legal, ethical, and technological challenges in developing and implementing data management policies.

DATA 203

Analytical Methods of Data Science

Survey of modern algorithms and methods in data science, focusing on how, why, and when various methods work. Includes topics in statistics, machine learning, and optimization.

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Related Programs, Certificates & Minors

CECS offers innovative, customizable majors, minors, and certificates in areas of emerging technology and the skills required by the workforce of the future.