Associate of Science in Computer Science

Program Description

The Associate of Science in Computer Science provides a solid foundation in computer science, covering areas such as programming, data structures, algorithms, computer systems, databases, and software development. The program provides students with practical skills in problem-solving, software creation, and systems design, preparing them for entry-level positions in software development, IT support, and network administration. This degree serves as a foundation for further study or immediate entry into the technology industry. 

Program Objective

Associate Degree graduates are able to: 

  1. Develop Foundational Knowledge: Equip students with essential knowledge in computer programming, data structures, algorithms, and computer systems. 
  2. Enhance Problem-Solving Skills: Strengthen students’ analytical and problem-solving abilities by applying theory to real-world software development and system design challenges. 
  3. Prepare for Technical Careers: Prepare students for entry-level roles in software development, IT support, and network administration. 
  4. Introduce Emerging Technologies: Expose students to the latest technologies such as artificial intelligence, machine learning, and cybersecurity. 
  5. Encourage Lifelong Learning: Cultivate a mindset of continuous learning, encouraging students to stay up-to-updated with technological advancements and pursue further education or certifications in the field of computer science. 

Program Breakdown

Course Number  Course Title  Credit Hours 
ENG210  English Composition I  3 
ALG210  College Algebra  3 
PSY210  Introduction to Psychology  3 
ENV210  Environmental Science  3 
STA210  Applied Probability and Statistics  3 
  Sub – Total  15 
Course Number  Course Title  Credit Hours 
PRG310  Programming Fundamentals  3 
ALG310  Linear Algebra  3 
MAT310  Mathematical Logic and Structures  3 
CAL310  Advanced Calculus  3 
OBT310  Object-Oriented Programming  3 
SYS310  Operating Systems and Network Management  3 
DTB310  Fundamentals of Databases  3 
EMT310  Emerging and Disruptive Technologies  3 
ADZ310  Advanced Database Systems  3 
BDM310  Big Data Mining  3 
MLN310  Introduction to Machine Learning  3 
CYB310  Cybersecurity and Ethical Hacking  3 
PRG320  Introduction to Functional Programming  3 
DSA310  Distributed Systems Architecture  3 
LEI310  Leadership, Entrepreneurship, and Innovation  3 
  Sub – Total  45 
  Total  60 

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