Data Science

Bachelor of Science in Business: MANAGEMENT = 120 Credit Hours

• 40 Credits – General Education
• 36 Credits – Business Core
• 27 Credits – Data Science/AI
• 17 Credits – Open Electives

Mind

• Evaluate deep, complex business operations with data while developing unique and creative solutions.
• Develop critical thinking and problem-solving skills while creating queries and code.
• Understand how to merge business aptitude and “gut” feelings with real data and historical evidence.

Heart

• Collaborate with those from diverse cultures and differing worldviews as an effective member of a team.
• Demonstrate the impact of social responsibility through data and account for the impact a company can have.
• Justify the responsibility that a business has to all stakeholders and engage society as ethical and productive citizens.

Soul

• Leverage your insights to integrate ethical reasoning and worldview to decision-making and business practices.
• Evaluate business-related theories in practices from an evangelical Christian perspective.
• Articulate and defend the role of Christian character in personal and professional dealings.

Strength

• Express thoughts, ideas, and findings effectively, utilizing multiple mediums of communication.
• Facilitate the effective use of organizational resources using your own findings while practicing appropriate Biblical stewardship.
• Represent your faith in one of this century’s most important business roles.

Anyone interested in business is encouraged to join Future Business Leaders of America (FBLA). Monthly meetings include special speakers and tours. Student leaders develop annual projects conducted by the organization. In the spring, members have an opportunity to demonstrate their business skills at the Kansas FBLA State Leadership Conference (SLC). Central students typically win 35-40 awards at this conference. Central Christian College of Kansas state winners participate and place regularly at the FBLA National Leadership Conference (NLC) held at various sites across the nation.

Students in the Business Department have the opportunity to join the lifetime society of Sigma Beta Delta (SBD). As one of the leading prestigious business honor societies their focus is on wisdom, honor, and aspirations.

Membership in Central’s chapter of SBD is reserved for the most distinguished of the departments students. Established in 2016, the chapter inducts 2-5 students each spring.

Start your journey to this organization today!

The Central Christian College business student has multiple ways to enrich their educational experience through off-campus opportunities. The department regularly offers national and international travel opportunities to study various topics including economics, finance, culture, trade, and monetary systems.  CCC is also partnering with Students International where students have the opportunity to spend a semester in another country studying local culture, finance, economics, language, investment, entrepreneurship, etc.

This course is intended as a continuation of Foundations of Data Analytics I. In this course, you’ll conduct more advanced analysis and data manipulation using spreadsheets. You will also expand your data analytics toolkit by learning the basics of the programming language Python, enabling you to solve a wider range of data problems. Additionally, this course introduces predictive models.

This course is an introduction to data science in Python. You’ll use advanced visualization and predictive modeling tools to turn raw data into actionable insights. You will also learn how to use SQL to navigate databases. Topics include: Python Foundation for Data Science, Data Management with Python, and Machine Learning Foundations in Python.

This course is intended as a continuation of Data Science I. This course takes a deep dive into machine learning models, natural language processing, and time series in Python.

This course is a technical approach to cutting-edge AI methods. Students will productionize machine learning models to solve business problems, evaluate modern AI use cases (such as computer vision) and adapt Large Language Models (LLMs) for specific applications.

This course is a capstone project in which students are asked to work through a full data science workflow using real-world data. This course exists to prepare students for the kind of work they will do on Data Science teams, and as such also features an emphasis on interviewing for jobs in the space and communicating results to stakeholders.