Bachelor of Science in Geographic Information Science

Room 2023 Ward Beecher Hall
(330) 941-3616
Department Chairperson: Dr. Snjezana "Snow" Balaz (sbalaz@ysu.edu)
Administrative Specialist: Jill Mogg (jmmogg@ysu.edu)

GIS Faculty Contacts/Program Coordinators:
Dr. Bradley Shellito, Professor of GIS, bashellito@ysu.edu
Dr. Peter Kimosop,  Associate Professor of GIS, pkimosop@ysu.edu

The Bachelor of Science in Geographic Information Science is offered for students to gain expertise with geospatial technologies and related computer science and data analysis and apply those skills and knowledge to a content area.   GIS, remote sensing, GPS, programming, spatial analysis, web publishing and mapping, data handling and analytics, are the components of the program as well as utilizing those skills and technologies to address and solve real-world problems.

COURSE TITLE S.H.
FIRST YEAR REQUIREMENT -STUDENT SUCCESS SEMINAR
YSU 1500Success Seminar1-2
or YSU 1500S Youngstown State University Success Seminar
or HONR 1500 Intro to Honors
GENERAL EDUCATION
ENGL 1550Writing 13-4
or ENGL 1549 Writing 1 with Support
ENGL 1551Writing 23
Mathematics General Education Requirement - met below
Arts and Humanities General Education6
Social Science General Education Electives6
Natural Science plus Lab 7
General Education Electives9
Choose One Math and Computer Path:12-14
Algebra and Transcendental Function
Programming and Problem-Solving
and Programming and Problem-Solving Lab
Introductory Statistics
Statistical Literacy and Critical Reasoning
OR (this path takes 14 hours)
Fundamentals of Programming and Problem-Solving 1
and Fundamentals of Programming and Problem-Solving 1 Lab
Fundamentals of Programming and Problem- Solving 2
and Fundamentals of Programming and Problem- Solving 2 Lab
Statistical Methods
Probability and Statistics
Applied Calculus 1
Calculus 1
Required GIS Courses: 18 s.h.
GIS 2610Map Use and Interpretation3
GIS 2611Geospatial Foundations3
or GIS 2611H Honors Geospatial Foundations
GIS 3701Introduction to Geographic Information Science3
GIS 3702Introduction to Remote Sensing3
GIS 4801Advanced Geographic Information Science3
GIS 4802Advanced Remote Sensing3
Required Additional Courses: 19 s.h.
CSIS 3700
3700L
Data Structures and Objects
and Data Structures and Objects Lab
4
CSIS 3701Advanced Object-oriented Programming3
DATX 5803Data Visualization3
ENGL 3743Introduction to Public, Professional and Technical Writing3
PHIL 4801Data Ethics3
Choose One Database Class:3
Development of Databases
Data Management
Electives - Choose 6 - at least 12 hours must come from GIS and/or STEM designation courses18
Thematic Map Design and Symbolization
Geographic Information Sciences Application for the Social Sciences
GIS Applications for the Natural Sciences
Geographic Information Science Applications to Urban and Regional Studies
Special Topics in GIS
GPS and GIS
Directed Research in GIS
STEM Internship (a Geospatial-based internship)
Ecology of Lakes
Stream Ecology
Forest Ecology
Conservation Biology
Advanced Excel and Business Analytics Tools
Surveying
and Surveying Laboratory
Social Statistics
Visual/Object-Oriented Programming
Game Programming
Graphics and Animation for Gaming
Data Science and Machine Learning
Deep Learning
Cloud Computing and Big Data
Applied Artificial Intelligence
Artificial Intelligence in Game Design
Graphics and Animation for Gaming
Predictive Modeling Algorithms
Selected Topics in Data Analytics
Data Analytics Project
Artificial Intelligence in Business
Advanced Business Analytics
GIS Applications to Geology
Digital Image Processing
Linear Algebra and Matrix Theory
Applied Statistics
Minor18
Total Semester Hours120-124
Plan of Study Grid
Year 1
FallS.H.
YSU 1500
Success Seminar
or Youngstown State University Success Seminar
or Intro to Honors
1-2
ENGL 1550 Writing 1 3
MATH 1513
Algebra and Transcendental Function
or Applied Calculus 1
or Calculus 1
5
Gen Ed Nat Sci 1 of 2 + Lab 4
Gen Ed Arts requirement 1 of 2 3
 Semester Hours16-17
Spring
CSIS 2610
2610L
Programming and Problem-Solving
or Fundamentals of Programming and Problem-Solving 1 and Fundamentals of Programming and Problem-Solving 1 Lab and Fundamentals of Programming and Problem- Solving 2 and Fundamentals of Programming and Problem- Solving 2 Lab
4-6
GIS 2611 Geospatial Foundations 3
ENGL 1551 Writing 2 3
Gen Ed Nat Sci 2 of 2 3
Gen Ed Elective 1 of 3 3
 Semester Hours16-18
Year 2
Fall
GIS 2610 Map Use and Interpretation 3
STAT 2601
Introductory Statistics
or Statistical Literacy and Critical Reasoning
or Statistical Methods
or Probability and Statistics
3-4
Gen Ed Arts 2 of 2 requirement 3
Gen Ed elective 2 of 3 3
Gen Ed Social Science requirement 1 of 2 3
 Semester Hours15-16
Spring
GIS 3701 Introduction to Geographic Information Science 3
CSIS 3700
3700L
Data Structures and Objects
and Data Structures and Objects Lab
4
CSIS 3701 Advanced Object-oriented Programming 3
Minor class 1 of 6 3
Social Science Gen Ed elective 2 of 2 3
 Semester Hours16
Year 3
Fall
CSIS 3722
Development of Databases
or Data Management
3
GIS 3702 Introduction to Remote Sensing 3
ENGL 3743 Introduction to Public, Professional and Technical Writing 3
Minor class 2 of 6 3
GIS elective 1 of 4 3
 Semester Hours15
Spring
GIS 4801 Advanced Geographic Information Science 3
DATX 5803 Data Visualization 3
PHIL 4801 Data Ethics 3
GIS elective 2 of 4 3
Minor class 3 of 6 3
 Semester Hours15
Year 4
Fall
GIS Elective 3 of 4 3
Minor class 4 of 6 3
Minor class 5 of 6 3
Other elective in major 1 of 2 3
 Semester Hours12
Spring
GIS 4802 Advanced Remote Sensing 3
GIS elective 4 of 4 3
Gen Ed Elective 3 of 3 3
Minor class 6 of 6 3
Other elective in major course 2 of 2 3
 Semester Hours15
 Total Semester Hours120-124

Understand the fundamental principles and capabilities of geographic information science, including geospatial technologies, spatial data handling, and remote sensing.

Demonstrate proficiency in the use of geographic information science methods to effectively map, analyze, visualize, query, and manipulate spatial and non-spatial data.

Utilize geospatial and computer-based analytical methods to solve location-based problems and properly evaluate the results.