Programs

BS in Computer Science

What Will I Learn?

This major gives you a fundamental understanding of the theoretical principles of software and digital systems within the context of current technology. It is designed for career-oriented students as well as for students who wish to pursue graduate studies.

Our program is balanced between theoretical and applied courses. In addition to developing computing-related skills, you will gain awareness of the human and social aspects of computer systems, and how computer science relates to other disciplines.

You will also have the opportunity to earn a minor either in Mathematics or in Actuarial Science.

Your Career

Graduates of this program become software designers and specialists, systems analysts, programmers, server and network administrators, and information technology managers. Career opportunities abound in various sectors — software companies, web development companies, financial institutions, schools and universities, and any organization that has an IT department.

Curriculum

A total of 92 credits are required to graduate:

Major Core requirements (32 cr.)

Number Course Cr
CSC243 Introduction to Object Oriented Programming 3
CSC245 Objects and Data Abstraction 3
CSC310 Algorithms and Data Structures 3
CSC320 Computer Organization 3
CSC322 Computer Organization Lab 1
CSC326 Operating Systems 3
CSC375 Database Management Systems 3
CSC430 Computer Networks 3
CSC447 Parallel Program for Multicore and Cluster Systems 3
CSC490 Software Engineering 3
CSC491 Professional Experience 1
CSC599 Capstone Project 3

Elective Requirements (15 cr.)

Choose 5 courses from the following Computer Science electives:

Number Course Cr
CSC323 Digital Systems Design 3
CSC412 Introduction to Bioinformatics 3
CSC420 Computer Architecture 3
CSC435 Computer Security 3
CSC440 Advanced Object Oriented Programming 3
CSC443 Web Programming 3
CSC450 Computer Graphics 3
CSC458 Game  Programming 3
CSC460 Artificial Intelligence 3
CSC461 Introduction to Machine Learning 3
CSC462 Fundamentals of Deep Learning 3
CSC463 Computer Vision 3
CSC464 Deep Learning for Natural Language Processing 3
CSC495 IT Project Management 3
CSC498 Topics in Computer Science (may be repeated) 3

Mathematics Requirements (12 cr.)

Number Course Cr
MTH201 Calculus III 3
MTH207 Discrete Structures I 3
MTH305 Probability and Statistics 3
MTH307 Discrete Structures II 3

Mathematics Electives (3 cr.)

Choose one course from the following mathematics electives:

Number Course Cr
MTH301 Linear Algebra 3
MTH303 Numerical Methods 3
MTH304 Differential Equations 3
MTH306 Non-Linear Dynamics and Chaos 3
MTH309 Graph Theory 3
MTH498 Topics in Mathematics (may be repeated) 3

Liberal Arts Core Curriculum (6 cr.)

Number Course Cr
ENG202 Advanced Academic English 3
COM203 Art of Public Communication 3

Liberal Arts Electives (21 cr.)

Natural Sciences and Mathematics (9 cr.)

Number Course Cr
BIO209 Basic Biology for Computer Science 3
CHM209 Essentials of Chemistry for Computer Science 3
  Fulfilled by passing MTH201 3
  Fulfilled by passing MTH207 3

Social Sciences (min.6-max.9 cr.)

Number Course Cr
CSC480 Social and Prof. Issues in Computing 3
  Liberal Arts Elective 3
  Liberal Arts Elective 3
  Liberal Arts Elective 3

Humanities and Arts (min.9-max.12)

LAC Elective (3 credits)