Computer Science, BS, Concentration: Artificial Intelligence

About the Program

The Artificial Intelligence concentration program offers a cutting-edge, interdisciplinary curriculum that delves into the world of artificial intelligence. With a blend of machine learning, data science, and computer science coursework, students gain the knowledge and skills to address AI’s intricate challenges. It combines theory with hands-on projects to prepare students for impactful careers in AI research, development, and implementation.

Degree Requirements

• 120 Credit Hours
• Minimum grade of C required for all Major Core (including MA 16300  and CS 12300  courses)
• Minimum GPA of 2.0 required for graduation
• Certain courses may only be available at one campus location

PNW General Education Core (31 Credits Minimum)

• English Composition (6 Credits): ENGL 10400 English Composition I  and ENGL 10500 English Composition II  
• Speech Communication (3 Credits): COM 11400 Fundamentals Of Speech Communication  
• Quantitative Reasoning (5 Credits): MA 16300 Integrated Calculus Analysis Geometry I   
• Natural Sciences (3 Credits): select from the Natural Sciences with Lab Core list  
• Technology (4 Credits): CS 12300 Programming I: Java  
• Humanities (3 Credits): PHIL 32100 Engineering Ethics  
• Social Sciences (3 Credits): select from the Social Sciences Core list  
• Additional Credits (3 Credits): select from the Gen Ed Core list  
• First-Year Experience (1 Credit): CS 10000 An Introduction To Computer Science   

Major Core (58 Credits)

• CS 12400 - Programming II: Object-Oriented Java
• CS 12600 - Systems Programming In C
• CS 22300 - Computer Architecture And Assembly Language
• CS 27500 - Data Structures
• CS 30200 - Operating Systems
• CS 30900 - Discrete Mathematical Structures
• CS 31600 - Programming Languages
• CS 33200 - Algorithms
• CS 33600 - Network Programming
• CS 41600 - Software Engineering
• CS 44200 - Database Systems
• CS 45500 - Interactive Computer Graphics
• CS 46200 - Introduction To Artificial Intelligence
• MA 16400 - Integrated Calculus Analysis Geometry II
• MA 26100 - Multivariate Calculus
• MA 26500 - Linear Algebra
• STAT 34500 - Statistics

•  

  ***Choose One Course From the Following:

• CS 30303 - Internship In Computer Science
• CS 40300 - Undergraduate Research In Computer Science
• CS 42000 - Senior Design Project
• CS 48000 - The Practicum In Computer Science

Other Required Courses (31 Credits)

• CS 46800 - Human Robot Interaction
• CS 46900 - Machine Learning And Data Mining
• CS 47900 - Introduction To Deep Learning
• STAT 40001 - Statistical Computing
• Electives (11-13 credits)
• Natural Science Elective (3-4 Credits)
• Science with Lab (3-4 Credits)

Civics Literacy Proficiency

The Civics Literacy Proficiency activities are designed to develop civic knowledge of Purdue Northwest students in an effort to graduate a more informed citizenry.

Students will complete the Proficiency by passing a test of civic knowledge, and completing one of three paths:

• Attending six approved civics-related events and completing an assessment for each; or
• Completing 12 podcasts created by the Purdue Center for C-SPAN Scholarship and Engagement that use C-SPAN material and completing an assessment for each; or
• Earning a passing grade for one of the approved courses (or transferring in approved AP or departmental credit in lieu of taking a course)

For more information visit the Civics Literacy Proficiency website.

Total 120 Credits Required

Resources

The 8 semester plan of study is a recommended sequence of classes designed to show how this program can be completed within four years.

Visit the 15 to Finish website for information and resources.

For career information, click here to visit the Careers and Employment Trends page.

For Financial Aid eligibility, click here. Annual FAFSA filing deadline is March 10. Financial Aid recipients are required to complete 30 credits per calendar year to stay eligible for the standard financial aid award.

Financial Guarantee: If you follow the degree map and find a course unavailable, you may be able to take the course for free in a future semester.  Certain exclusions apply.