We are in a connected world where humans, software applications and data are all linked through intricate networks. Everyday objects like cars, doorbells and coffee machines, specialized equipment for healthcare and even infrastructure like roads, are smart and communicate data. These data become useful to humans and society when they are securely associated with other data, objects, individuals, groups and organizations to make decisions through computation to solve problems. Learn more about the curriculum revisions in 2020.
The Information Science major in the Department of Informatics and Networked Systems has been built to provide:
- A strong foundation in the science of how data, human-centered systems and networks work together to solve problems
- A broad understanding of systems analysis, data management, network design and security, and how they are integrated and work together to make effective decisions
- Coursework that addresses cutting-edge subjects such as user experience, datamining, computer forensics, cloud computing, 5G wireless and information visualization
- Research projects with faculty, student peers, and local non-profits
- Career agility – every industry needs information science expertise, so you’ll find successful career opportunities in healthcare, manufacturing, communications, finance, education, technology, and entertainment.
As a prospective first-year student, you can also lock-in admission to the MSIS degree if you maintain a certain academic record. For more details, see here for the Information Sciences Guarantee.
- CMPINF 0401 Intermediate Programming Using Java
- INFSCI 0310 Computation in Information Science
- INFSCI 0410 Human Centered Systems
- INFSCI 0510 Data Analysis
- INFSCI 0610 Networks and Information
Required Upper-level Courses
- INFSCI 1400 Analysis of Information Systems
- INFSCI 1500 Database Management Concepts and Applications
- INFSCI 1600 Security and Privacy
Required Math and Statistics
- MATH 0220 Calculus and Analytic Geometry 1
- MATH 0280 Matrices and Linear Algebra
- STAT 1000 Applied Statistical Methods or
- STAT 1100 Statistics and Probability for Business Management
Elective Upper Level Courses
Check out the pathways you can pick in the BSIS major here.Regular INFSCI courses – 1100 level or higher (internships, directed studies, INFSCI 1700, and INFSCI capstone courses may NOT be used as elective major courses).
- INFSCI 1700 Data Driven Communication
- INFSCI 1710 Directed Research
- INFSCI 1720 Internship
- INFSCI 1730 Independent Study
- INFSCI 1740 Team-Based Capstone Project