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
- 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:
Course List Code Title Credit Hours CIS 3296 Software Design (WI) 4 CIS 4398 Projects 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.
- 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.
- 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.Course List Code Title Credit Hours Computer and Information Science CIS 1001 Introduction to Academics in Computer Science 1 CIS 1051 Introduction to Problem Solving and Programming in Python 1 4 or CIS 1951 Honors Introduction to Problem Solving and Programming in Python CIS 1068 Program Design and Abstraction 4 or CIS 1968 Honors Program Design and Abstraction CIS 1166 Mathematical Concepts in Computing I 4 or CIS 1966 Honors Mathematical Concepts in Computing I CIS 2033 Computational Probability and Statistics 3 CIS 2109 Database Management Systems 4 CIS 2166 Mathematical Concepts in Computing II 4 CIS 2168 Data Structures 4 CIS 3203 Introduction to Artificial Intelligence 4 CIS 3223 Data Structures and Algorithms 3 CIS 3296 Software Design (WI) 4 CIS 3655 Human 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 4526 Foundations of Machine Learning 3 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 1041 Calculus I 4 or MATH 1941 Honors Calculus I MATH 1042 Calculus II 4 or MATH 1942 Honors Calculus II Laboratory Science Courses Two (2) laboratory science courses 4 8 Total Credit Hours 76-79 - 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.
- 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).
Sequenced Laboratory Science Requirements
| Code | Title | Credit Hours |
|---|---|---|
| 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
| Year 1 | ||
|---|---|---|
| Fall | Credit Hours | |
| MATH 1041 or MATH 1941 | Calculus I or Honors Calculus I | 4 |
| CIS 1001 | Introduction to Academics in Computer Science | 1 |
| CIS 1051 or CIS 1951 | 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 Hours | 15 | |
| Spring | ||
| MATH 1042 or MATH 1942 | Calculus II or Honors Calculus II | 4 |
| CIS 1068 or CIS 1968 | Program Design and Abstraction or Honors Program Design and Abstraction | 4 |
| CIS 1166 or CIS 1966 | Mathematical Concepts in Computing I or Honors Mathematical Concepts in Computing I | 4 |
| IH 0851 or IH 0951 | Intellectual Heritage I: The Good Life [GY] or Honors Intellectual Heritage I: The Good Life [GY] | 3 |
| Credit Hours | 15 | |
| Year 2 | ||
| Fall | ||
| CIS 2109 | Database Management Systems | 4 |
| CIS 2166 | Mathematical Concepts in Computing II | 4 |
| CIS 2168 | Data Structures | 4 |
| IH 0852 or IH 0952 | Intellectual Heritage II: The Common Good [GZ] or Honors Intellectual Heritage II: The Common Good [GZ] | 3 |
| Credit Hours | 15 | |
| Spring | ||
| CIS 2033 | Computational Probability and Statistics | 3 |
| CIS 3655 or CIS 3603 | 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 Hours | 15 | |
| 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 Hours | 15 | |
| 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 Hours | 16 | |
| 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 Hours | 16 | |
| 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 Hours | 16 | |
| Total Credit Hours | 123 | |