Find patterns. Predict relationships. Explain results. Make a difference. In our increasingly data-dense world, the need has never been greater for expert data analysts who can draw substantive conclusions to inform important decision making in everything from business to social justice.
Rollins is one of a handful of liberal arts colleges offering a minor in data analytics, where you’ll acquire the skills to lead in a competitive, information-driven economy. You’ll develop a knowledge of programming to acquire and manipulate data, harness statistical analysis to understand data relationships, and communicate your results to a broad array of audiences.
You’ll not only connect the “dots” of data points, but also examine patterns within larger frameworks and across disciplines. With finely tuned data analytics skills, scientists can test hypotheses, journalists can accurately depict trends, artists can enhance their expression with critical analysis, and political scientists can address complex societal problems.
Why Study Data Analytics at Rollins
From software engineers and biostatisticians to marketing managers and investigative journalists, data analysis skills are in high demand across industries. These are just a few professions in which the need for data analysts continues to outpace the supply.
Society’s increasing reliance on discerning data patterns is spawning jobs that don’t even exist yet, and those jobs aren’t limited to technical fields. Through Rollins’ signature interdisciplinary approach, you’ll develop quantitative competence alongside the ability to draw connections across industries.
Solving Social Problems
Rollins encourages measuring, understanding, and reacting to large sets of data in order to address high-impact contemporary issues. Whether it’s public health, criminal justice, environmental sustainability, or social equity, the need for actionable data analysis is acute.
Spanning everything from modeling and simulation to biostatistics and econometrics, Rollins’ data analytics courses sharpen skills in analysis, critical thinking, and communication.
DTA 250 Fundamentals of Data Science and Analytics
Delve into core data concepts such as data visualization and data mining as well as the use of spreadsheets, databases, and software for statistics and data visualization.
DTA 325 Data Analytics for Social Good
Use advanced data analytics skills to address a pressing social problem, such as inequality in public education or vote denial in democracies. This problem-oriented approach engages advanced statistical techniques, modeling, and programming.
CMS 380 Simulation Design and Analysis
Investigate how to use randomness to model the world. Write computer programs to model everything from pandemic trends to the lines at theme parks while probing advanced concepts in probability.
Professors in everything from computer science and business to mathematics and economics bring a unique perspective to the study and application of data analytics. Faculty engage students not only in quantitative data analysis, but in how to identify patterns and relationships in the data and interpret the data ethically across a variety of disciplines.
Don Davison, PhD
Professor of Political Science
Research interests: Effects of race and religion on political behavior and reactions by majority populations to minority voting rights; causes of political and economic inequality; formal theory and methodology
Dan Myers, PhD
Assistant Professor of Computer Science
Research interests: Computer performance modeling and queuing theory; data analytics for community nonprofits and social innovation
Timothy Pett, PhD
Professor of Business
Research interests: Small and medium-size businesses, entrepreneurship, knowledge and organizational learning, and family business
Zeynep Teymuroglu, PhD
Associate Professor of Mathematics
Research interests: Mathematical biology, mathematical modeling, financial mathematics, and mathematics for social justice
Martina Vidovic, PhD
Associate Professor of Economics
Research interests: Applied microeconomics, applied econometrics, environmental economics with an emphasis on the effectiveness of voluntary pollution-reduction programs, and health economics