ENG

Information Science

Bachelor of Science

Coursework Location(s)

Main/Tucson

Areas of Interest
  • Computer & Information Science
  • Mathematics, Statistics & Data Science
  • Engineering & Technology
  • Social & Behavioral Sciences
  • Psychology & Human Behavior
Delve into the complex world of information systems and computational methods, and transform data into the real-world information humans use every day. A degree in Information Science and Technology helps students build the mathematical and computational foundation they need to analyze and grow in the digital world. This Bachelor of Science leans more heavily on the technical side of information science, including requirements for higher math and specialized courses, than the Bachelor of Arts in Information Science in our program. Students take courses in advanced computing techniques, machine learning, data science, artificial intelligence and theories of new media. Paired with a minor or second major in computer science, math or business, this program equips students for professions that aim to shape the digital landscape, from data engineers to user experience (UX) designers.
Learning Outcomes
Students will demonstrate the ability to conduct a research project using appropriate and ethical methods, including proper citation of sources. Students will establish the ability to exercise the four key techniques of computational thinking (decomposition, pattern recognition, abstraction, and algorithms) in solving information and data challenges. Students will acquire the skills of collecting, manipulating, and analyzing different types of data at different scales, and interpreting the results properly. Students will be able to recognize and analyze ethical and policy concerns raised by new technologies and will be able to apply ethical thinking to real world cases and craft effective solutions. Students will be able to identify and apply professional ethics and standards relevant to their career to aspirations. Students will demonstrate understanding of the use of information and communication technologies and the implications of such use, for example: scientific and social uses of information, and social, cultural, and economic implications of digital life and culture. Students will demonstrate facility using basic research methods, for example: research design; statistics and analysis; organization, identification, and location of data and information including open- and closed-access sources; and/or presentation of findings in oral, written and multi-media form, including proper use of and citation of sources. Students will acquire the skills, knowledge and self-understanding to communicate with and effectively work and interact across cultures and with diverse people and groups. Students will demonstrate knowledge of career and further education options and opportunities open to them relative to their plan of study and will set goals and make plans beyond their expected graduation.
Sample Courses
  • ISTA 131: Dealing with Data
  • ISTA 230: Introduction to Web Design and Development
  • ESOC 302: Quantitative Methods for the Digital Marketplace
Career Fields
  • Web development
  • Information architecture
  • Information security
  • Data analysis
  • UX design
  • Data science
Level of Math
Substantial Knowledge
LEVEL OF SECOND LANGUAGE
2nd Semester Proficiency
Pre-major Required?
NO
Sample Plans 2020 - Information Science

First Year

1st Semester
Credits
ENGL 101 First-Year Composition
3.00
Tier I General Education
3.00
Tier I General Education
3.00
Second Language
4.00
Math
3.00
2nd Semester
Credits
ENGL 102
3.00
Tier I General Education
3.00
Tier I General Education
3.00
Tier II General Education
3.00
Second Language
4.00

Second Year

3rd Semester
Credits
Tier I General Education
3.00
Tier I General Education
3.00
Tier II General Education
3.00
ISTA 100: Great Idea of the Information Age
3.00
ISTA 116: Statistical Foundations
3.00
4th Semester
Credits
Tier II General Education
3.00
ISTA 130: Computational Thinking
4.00
ISTA 161: Ethics
3.00
Society
3.00
Minor Course
3.00

Third Year

5th Semester
Credits
Research Methods and Data Analysis
3.00
ISTA 131 Dealing with Data
4.00
Intensive Computing
3.00
Computantial Arts and Media
3.00
Minor Course
3.00
6th Semester
Credits
Intensive Computing
3.00
Intensive Computing
3.00
Intensive Computing
3.00
Minor Course
3.00
Minor Course
3.00

Fourth Year

7th Semester
Credits
Intensive Computing
3.00
Independent Study, Directed Research, or Internship
3.00
Minor Course
3.00
Upper Division Elective
3.00
Upper Division Elective
3.00
8th Semester
Credits
ISTA 498 Senior Capstone
3.00
Minor Course
3.00
Upper Division Elective
3.00
Upper Division Elective
3.00

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