Overview

Artificial Intelligence (AI) is reshaping how organizations across many sectors operate, creating demand for graduates who can build, evaluate, and responsibly deploy AI systems. The Department of Computer and Information Sciences offers the Bachelor of Science in Artificial Intelligence to prepare students for that work. The program combines a strong foundation in computer science, including programming, algorithms, data structures, and mathematics, with focused coursework in machine learning, AI methods, databases, and human-AI interaction. Graduates are not merely AI-literate; they are skilled programmers who can design and implement intelligent systems.

The program emphasizes applied work as well as theory. Students work with real datasets, build machine learning models, and complete a capstone project that integrates skills developed across the curriculum. Temple's location in Philadelphia, with employers in healthcare, finance, technology, and related fields, creates opportunities for internships, applied projects, and undergraduate research. Graduates are prepared for technical roles that require both computing depth and an understanding of responsible AI deployment.

Campus Locations: Main, Japan

Program Code: ST-AI-BS

Distinction in Major

To graduate with distinction in this major, a student must satisfy the following criteria:

  • have a minimum 3.50 major GPA
  • have a minimum 3.50 cumulative GPA

Undergraduate Contact Information

Main Campus

Yu Wang, Chair
Science Education and Research Center, Room 304
215-204-8450

John Fiore, Vice Chair
Science Education and Research Center, Room 304
215-204-8450

Andrew Rosen, Faculty Advisor
Science Education and Research Center, Room 349
215-204-3193
andrew.rosen@temple.edu

Temple Japan Campus

Hady Kahy, PhD, Chair for the Division of Business and Technology
hkahy@tuj.temple.edu

Hani Karam, PhD, Faculty Advisor for the Computer Science Major
hkaram@tuj.temple.edu

Learn more about the Bachelor of Science in Artificial Intelligence.

These requirements are for students who matriculated in academic year 2026-2027. Students who matriculated prior to fall 2026 should refer to the Archives to view the requirements for their Bulletin year.

Bachelor of Science Requirements

Summary of Requirements for the Degree

  1. University Requirements (123 total s.h.)
    • Students must complete all University requirements including those listed below.
    • All undergraduate students must complete at least two writing-intensive (WI) courses for a total of at least six credits at Temple as part of their major. The specific writing-intensive course options for this major are:
      CIS 3296Software Design (WI)4
      CIS 4398Projects in Computer Science (WI)3
      or CIS 4397 Independent Research in Computer Science
    • Students must complete the General Education (GenEd) requirements.
      • See the General Education section of the Undergraduate Bulletin for the GenEd curriculum.
      • Students who complete CST majors receive a waiver for 2 Science & Technology (GS) and 1 Quantitative Literacy (GQ) GenEd courses.
    • Students must satisfy general Temple University residency requirements.
  2. College Requirements
    • A minimum of 90 total credits within the College of Science & Technology (CST), the College of Liberal Arts (CLA), and/or the College of Engineering (ENG).
      • A minimum of 45 of these credits must be upper-level (courses numbered 2000 and above).
    • Complete a one-credit first-year or transfer seminar.
      • SCTC 1001 CST First-Year Seminar for every entering first-year CST student.
      • SCTC 2001 CST Transfer Seminar for every entering transfer CST student.
    1. Major Requirements for Bachelor of Science (76-79 s.h.)
      At least 9 courses required for the major must be completed at Temple. At least 6 CIS courses must be completed at Temple.
      Computer and Information Science
      CIS 1001Introduction to Academics in Computer Science1
      CIS 1051Introduction to Problem Solving and Programming in Python 14
      or CIS 1951 Honors Introduction to Problem Solving and Programming in Python
      CIS 1068Program Design and Abstraction4
      or CIS 1968 Honors Program Design and Abstraction
      CIS 1166Mathematical Concepts in Computing I4
      or CIS 1966 Honors Mathematical Concepts in Computing I
      CIS 2033Computational Probability and Statistics3
      CIS 2109Database Management Systems4
      CIS 2166Mathematical Concepts in Computing II4
      CIS 2168Data Structures4
      CIS 3203Introduction to Artificial Intelligence4
      CIS 3223Data Structures and Algorithms3
      CIS 3296Software Design (WI)4
      CIS 3655Human and Artificial Intelligence Interaction (Human and Artificial Intelligence Interaction)3
      or CIS 3603 User Experience Design
      Select one of the following:3
      Projects in Computer Science (WI)
      Independent Research in Computer Science (WI) 2
      CIS 4526Foundations of Machine Learning3
      Artificial Intelligence Breadth Course
      Select one of the following:3
      Artificial General Intelligence (Artificial General Intelligence)
      Data-Intensive and Cloud Computing (S)
      Knowledge Discovery and Data Mining 3
      Analysis and Modeling of Social and Information Networks 3
      Introduction to Deep Learning and Large Language Models (Introduction to Deep Learning and Large Language Models)
      Intelligent Agent Systems Development (Intelligent Agent Systems Development)
      Artificial Intelligence Electives
      Select three courses from the following AI elective courses:9-12
      Special Topics in CIS
      Automata, Computability, and Languages
      Computer Architecture
      Computer Graphics and Image Processing
      Discrete Structures
      Web Application Programming
      Wireless Networks and Security
      Quality Assurance & Testing
      Cooperative Education Experience in Computer Science 4
      Software Security
      Introduction to Mobile Application Development
      Introduction to Digital Forensics
      Principles of Data Science
      Introduction to Information Visualization
      Artificial General Intelligence (Artificial General Intelligence) 5
      Independent Study 4
      Real Time Computer Systems
      Introduction to Distributed Systems and Networks
      Computer Networks and Communications
      Compiler Design
      Introduction to Cloud Computing
      Seminar on Topics in Computer Science
      Seminar on Topics in Computer Science
      Securing the Internet of Things
      Advanced Mobile Application Development
      Data-Intensive and Cloud Computing 5
      Knowledge Discovery and Data Mining 5
      Analysis and Modeling of Social and Information Networks 5
      Introduction to Deep Learning and Large Language Models (Introduction to Deep Learning and Large Language Models) 5
      Ethical Hacking and Intrusion Forensics (WI)
      Intelligent Agent Systems Development (Intelligent Agent Systems Development) 5
      Calculus III
      Mathematics
      MATH 1041Calculus I4
      or MATH 1941 Honors Calculus I
      MATH 1042Calculus II4
      or MATH 1942 Honors Calculus II
      Laboratory Science Courses
      Two (2) laboratory science courses 48
      Total Credit Hours76-79
      1

      CIS 1057 Computer Programming in C can be substituted for CIS 1051 Introduction to Problem Solving and Programming in Python, if it was already completed prior to starting the major.

      2

      CIS 4397 Independent Research in Computer Science requires permission of the department. View the course description for additional information.

      3

      Prerequisite of MATH 2043 Calculus III.

      4

      A maximum of four credits from CIS 3381 Cooperative Education Experience in Computer Science and/or CIS 4282 Independent Study may be used to fulfill the artificial intelligence elective requirement.

      5

      This course may be used to satisfy the AI Breadth Course or an AI Elective.

      6

      Must select one Lab Science Sequence from the options listed below. Lab Science A and Lab Science B must be taken from the same department.

Sequenced Laboratory Science Requirements

Biology Sequence
Select one Biology Lab Science A:
General Biology I
Introduction to Organismal Biology
Honors Introduction to Organismal Biology
Select one Biology Lab Science B:
General Biology II
Introduction to Biomolecules, Cells and Genomes
Honors Introduction to Biomolecules, Cells and Genomes
Introduction to Cellular and Molecular Biology
Honors Introduction to Cellular and Molecular Biology
Chemistry Sequence 1
Select one Chemistry Lab Science A:
Introduction to Chemistry I
and Introduction to Chemistry Laboratory I
General Chemistry I
and General Chemistry Laboratory I
Honors General Chemical Science I
and Honors Chemical Science Laboratory I
Select one Chemistry Lab Science B:
Introduction to Chemistry II
and Introduction to Chemistry Laboratory II
General Chemistry II
and General Chemistry Laboratory II
Honors General Chemical Science II
and Honors Chemical Science Laboratory II
Earth & Environmental Science Sequence 2
Select this Lab Science A:
Physical Geology
Select one Lab Science B:
Mineralogy I (with CHEM 1031 prerequisite)
Sedimentary Environments (no CHEM 1031 prerequisite)
Introduction to Geochemistry (with CHEM 1031 prerequisite)
Natural Hazards (no CHEM 1031 prerequisite)
Physics Sequence
Select one Physics Lab Science A:
Introduction to General Physics I
Elementary Classical Physics I
Honors Elementary Classical Physics I
General Physics I (F)
Honors General Physics I (F)
Select one Physics Lab Science B:
Introduction to General Physics II
Elementary Classical Physics II
Honors Elementary Classical Physics II
General Physics II (S)
Honors General Physics II (S)
1

Students can choose to mix-and-match the Chemistry Sequence A and B courses. However, they must take at least 1 course from Chemistry Sequence A and 1 from Chemistry Sequence B. Note: Chemistry courses consist of a three-credit lecture plus a one-credit lab.

2

For the EES Sequence, two of the three Lab Science B options require students to take CHEM 1031 as a prerequisite, but EES 2021 does not.

3

Students can choose to mix-and-match the Physics Sequence A and B courses. However, they must take at least 1 course from Physics Sequence A and 1 from Physics Sequence B.

Suggested Academic Plan

Bachelor of Science in Artificial Intelligence

Suggested Plan for New Students Starting in the 2026-2027 Academic Year

Plan of Study Grid
Year 1
FallCredit Hours
MATH 1041
Calculus I
or Honors Calculus I
4
CIS 1001 Introduction to Academics in Computer Science 1
CIS 1051
Introduction to Problem Solving and Programming in Python
or Honors Introduction to Problem Solving and Programming in Python
4
SCTC 1001 CST First-Year Seminar 1
ENG 0802
Analytical Reading and Writing [GW]
or Analytical Reading and Writing: ESL [GW]
or Honors Analytical Reading and Writing [GW]
4
Elective 1
 Credit Hours15
Spring
MATH 1042
Calculus II
or Honors Calculus II
4
CIS 1068
Program Design and Abstraction
or Honors Program Design and Abstraction
4
CIS 1166
Mathematical Concepts in Computing I
or Honors Mathematical Concepts in Computing I
4
IH 0851
Intellectual Heritage I: The Good Life [GY]
or Honors Intellectual Heritage I: The Good Life [GY]
3
 Credit Hours15
Year 2
Fall
CIS 2109 Database Management Systems 4
CIS 2166 Mathematical Concepts in Computing II 4
CIS 2168 Data Structures 4
IH 0852
Intellectual Heritage II: The Common Good [GZ]
or Honors Intellectual Heritage II: The Common Good [GZ]
3
 Credit Hours15
Spring
CIS 2033 Computational Probability and Statistics 3
CIS 3655
Human and Artificial Intelligence Interaction (Human and Artificial Intelligence Interaction)
or User Experience Design
3
GenEd Breadth Course 3
GenEd Breadth Course 3
Elective 3
 Credit Hours15
Year 3
Fall
Artificial Intelligence Elective (or MATH 2043) 1 3-4
CIS 3203 Introduction to Artificial Intelligence 4
Laboratory Science A 4
GenEd Breadth Course 3
Elective 1-0
 Credit Hours15
Spring
CIS 3223 Data Structures and Algorithms 3
CIS 4526 Foundations of Machine Learning 3
Laboratory Science B 4
GenEd Breadth Course 3-4
Elective 3-2
 Credit Hours16
Year 4
Fall
CIS 3296 Software Design [WI] 4
GenEd Breadth Course 3
Artificial Intelligence Breadth 3
Artificial Intelligence Elective 3-4
Elective 3-2
 Credit Hours16
Spring
Select one of the following: 3
Projects in Computer Science [WI]  
Independent Research in Computer Science [WI] 2  
Artificial Intelligence Elective 3-4
Elective 3
Elective 3
Elective 4-3
 Credit Hours16
 Total Credit Hours123
1

MATH 2043 Calculus III is a prerequisite if CIS 4523 or CIS 4524 are selected in artificial intelligence breadth or in artificial intelligence elective requirements.

2

CIS 4397 requires permission of the department. View the course description for additional information.