Three Pillars of Computer Information Systems

Three Pillars of CIS

Computer Information Systems (CIS) is built on the three pillars of technology, business, and data, with a solid foundation in soft skills such as leadership, teamwork, communication, and personal integrity. 

Three Pillars of Computer Information Systems

 

Technology

A CIS degree provides a comprehensive foundation in key areas of technology, equipping students with the skills needed to excel in the rapidly evolving tech landscape.

  • Programming – Creating applications to solve user needs.
  • Web Technologies – Creating websites that can connect to the world.
  • Networking – Connecting computers to other computers and the Internet.
  • Security – Keeping everything safe.

 

Business

A CIS degree provides a comprehensive foundation in key areas of business, equipping students with the skills needed to thrive in the modern business and technology landscape.

  • Project Management – Explores how to create, document, and implement a project, whether it be for business or personal.
  • Economics – Emphasis on the production, distribution, and consumption of goods and services.
  • Finance – Addresses matters regarding the management, creation, and study of money and investments.
  • Accounting – System of recording and summarizing business and financial transactions and analyzing, verifying, and reporting the results.
  • Systems Analysis – This involves the investigation of what makes business and IT procedures work and seeks ways to improve them.
  • Leadership – Learning what it takes to lead people and organizations to success.
  • Marketing – Teaching how to promote and sell products or services, including marketing yourself to be more valuable to employers.
  • Management – Administering and coordinating resources to accomplish organizational goals effectively.

 

Data

A CIS degree provides a solid foundation in data analytics and big data transformation. Students gain knowledge in database management and data analysis tools through hands-on experience and practical applications

  • Databases – Studying the ways data is stored and turned into information to make better business decisions.
  • Descriptive Statistics – Learning how to summarize and describe data sets. 
  • Inferential Statistics – Choosing the proper samples of a population and then making predictions based on the data sample.
  • Data Management – Keeping the data confidential, ensuring its integrity, and keeping it available to the authorized users   
  • SQL – Using structured query language to create, read, update, and delete data.
  • Data Analytics – Brings all of the aforementioned items together under one umbrella.