Information Sciences

https://www.uwgb.edu/infosci/

(Bachelor of Science)

The Information Science (IS) program introduces students to complex information problems topics faced in the knowledge economy. Students will learn essential qualitative and quantitative skills demanded by employers in a digital media environment. Beyond these essential practical skills, students are taught the interpersonal and managerial skills needed to collaborate and coordinate among external stakeholders to achieve a common goal. Internships in Information Science provide qualified students with opportunities for faculty-supervised experience in professional settings outside the classroom. A major in Information Science provides the kind of integrative knowledge that is required for professional careers in a new and emerging media environment.

There are three emphases for the major: Data Science, Game Studies, and Information Technology.

  • The Data Science emphasis is focused on data tools and analytical methods. Students learn to interpret and communicate their findings through courses from the social sciences, computer science, statistics and management. In data science students are trained for deep analytical talent positions in areas such as healthcare, logistics, and insurance industries. 
  • The Game Studies emphasis offers a diverse range of sub-disciplines to develop students into well-rounded game professionals. Students can choose from classes in computer science, communication, psychology, art, business, and music to prepare for careers in game journalism, game studies, game ethics, programming and design. 
  • The Information Technology emphasis offers a solid grounding in computing, mathematics, and communication skills and then builds on that grounding with a broad array of theoretical and applied approaches to information technologies. Students also are expected to be thoroughly equipped with problem solving, collaborative, and presentational skills to prepare for careers in areas such as, systems analysis, human resources, marketing and sales.

Students may study abroad or at other campuses in the United States through UW-Green Bay’s participation in international exchange programs and National Student Exchange. Travel courses are another option for obtaining academic credits and completing requirements. For more information, contact the Office of International Education at (920) 465-2190 or see http://www.uwgb.edu/international/.

Major Area of Emphasis

Students must complete requirements in one of the following areas of emphasis:

  • Data Science
  • Game Studies
  • Information Technology

Curriculum Guide

The following is only an example of a four-year Information Sciences degree program and is subject to change without notice. Students should consult a Information Sciences program advisor to ensure that they have the most accurate and up-to-date information available about a particular four-year degree option.

An example: Four year plan for Information Sciences Major (Data Science emphasis)
120 credits necessary to graduate.
Plan is a representation and categories of classes can be switched. Check with your advisor.

Plan of Study Grid
Freshman
FallCredits
COMM 133 Fundamentals of Public Address 3
COMP SCI 201 Introduction to Computing & Internet Technologies 3
First Year Seminar 3
General Ed 3
General Ed 3
 Credits15
Spring
COMM 205 Elements of Media 3
COMP SCI 256 Introduction to Software Design 4
INFO SCI 302 Introduction to Data Science 3
General Ed 3
General Ed 3
 Credits16
Sophomore
Fall
COMM 290 Communication Problems and Research Methods 3
COMP SCI 221 Database Design & Management 3
COMP SCI 231 Introduction to IT Operations 3
General Ed 3
Elective 3
 Credits15
Spring
COMP SCI 240 Discrete Mathematics 4
INFO SCI 308 Information Technologies 3
MATH 260 Introductory Statistics 4
General Ed 3
Elective 3
 Credits17
Junior
Fall
INFO SCI 361 Introduction To Information Assurance & Security 3
General Ed 3
Elective 3
Elective 3
 Credits12
Spring
INFO SCI 410 Analytics and Information Problems 3
INFO SCI 411 Statistical Techniques and Decision Modeling 3
General Ed 3
Elective 3
Elective 3
 Credits15
Senior
Fall
INFO SCI 412 Data Mining and Predictive Analytics 3
COMM, COMP SCI, or INFO SCI course 3
Elective 3
Elective 3
Elective 3
 Credits15
Spring
COMP SCI 451 Database Systems and Big Data Processing 3
General Ed 3
Elective 3
Capstone 1-4
Elective 3
 Credits13-16
 Total Credits118-121

Faculty

Phillip G Clampitt; Professor; Ph.D., University of Kansas, chair

Bryan James Carr; Associate Professor; Ph.D., University of Oklahoma

Mary D Bina; Senior Lecturer; B.F.A., University of Wisconsin - Milwaukee