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Learn. Lead. Succeed
Ready to solve big problems with big data? We're looking for talented young professionals to extract meaning from data, and to turn information into action. You'll learn cutting edge tech skills like Python and R so you can bring the full power and value of data to bear on today's most challenging business opportunities.
Your Business Analytics degree will set you up for success in a huge range of careers depending on how you want to apply it and what works best for your personal leadership style. Many business analytics professionals are problem solvers, and enjoy identifying the key stakeholders in any situation and bringing them together around a shared data set to solve unique problems. Other candidates might be more technical, and can offer the teams they lead insight into the best tools for the job. No matter how your career evolves, you'll benefit from earning a Business Analytics degree from a historic private institution with a massive alumni network and unrivaled commitment to personal and professional development.
With an explosion of big data initiatives in organizations worldwide, the demand for data-savvy individuals has never been higher. Our BSBA in Business Analytics is specifically designed to prepare you for innovative careers in healthcare, finance, marketing, distribution, data science, machine learning, and operations research.
Let our counselors connect you directly with faculty and current students to discover how a career in Business Analytics will help you make a meaningful impact on the world. Email us with your questions today at firstname.lastname@example.org.
This course will cover the basics of how to write computer programs in Python. Topics will include data types, loops, strings, lists, methods, graphics and GUI interfaces. Time permitting, we will discuss tools for data analysis. In-class instruction will focus on case studies tackling business applications.
Analytics is the process of getting value out of data. It explains how seemingly mundane data points, when combined, can provide insights into habits, processes, and patterns. We live in a world overflowing with data, and only recently has technology reached the point where anyone can conduct this type of analysis without the aid of supercomputers or consulting firms.
This course covers “D2D”, or Data to Decisions. Specifically, this means we will learn what to collect, how to collect it, and how to transform it into actionable information. It is also focused on solving real business problems, which is the most practical application for Nichols business students.
The primary goal of this class is to learn principles and practices of database management and database design. We will discuss the database relational database design, normalization, SQL queries, reports and other interfaces to database data, and documentation. We will also treat ethical and privacy issues associated with database systems. In-class instruction and exercises will focus on the fundamentals for creating sophisticated, interactive, and secure database applications.
This course will serve as an introduction to the formal methods for reasoning and the mathematical techniques basic to computer science. Topics will include propositional logic, discrete mathematics, and linear algebra. Within these topics there will be an emphasis on applications to computer science: recurrences, sorting, graph traversal, Gaussian elimination.
This course will introduce modern techniques of computational statistics for practical analysis of data utilizing the R programming language. Data analysis and interpretation will be emphasized, rather than statistical theory. Real world data sets will be used to illustrate statistical principles.
Associate Professor of Mathematics/ Interim Chair of Mathematics
Professor of Mathematics