Computer Science BS / Computer Science MS

Major: Computer Science
Degree Awarded: Bachelor of Science (BS) and Master of Science (MS)
Calendar Type: Quarter
Minimum Required Credits: 226.0
Co-op Options: One Co-op (Five years)

 

About the Program

The College of Computing & Informatics offers an accelerated degree program designed to allow students to complete both a bachelor’s degree and a graduate degree along with cooperative educational experience in fewer years than would be typical if pursuing the degrees separately. 

Admission Requirements

The guidelines for applying to the Computer Science BS/MS Accelerated Degree program are as follows:

  • University regulations require application after the completion of 90.0 credits but before the completion of 120.0 credits.
  • Applicants must have an overall cumulative Grade Point Average of 3.5 or higher. 
  • Letters of recommendation from two Computer Science faculty are required. 
  • Students must submit a plan of study. Consult your advisor and course schedules for guidance.
  • Applicants must have completed the following courses with a minimum GPA of 3.50

Degree Requirements

The courses below should be taken at Drexel. Seek guidance from your advisor regarding additional coursework if any courses below have been taken outside of Drexel.
CS 171Computer Programming I3.0
or CS 175 Advanced Computer Programming I
CS 172Computer Programming II3.0
CS 260Data Structures4.0
CS 265Advanced Programming Tools and Techniques3.0
CS 270Mathematical Foundations of Computer Science3.0
CS 281Systems Architecture4.0
MATH 221Discrete Mathematics3.0

Requirements 

The requirements of the Computer Science BS/MS program follow the requirements of both the BS in Computer Science and the MS in Computer Science. Students must complete all the requirements of the BS in Computer Science except that they may replace 6.0 credits of free electives (still maintaining the 180.0 credit minimum for the BS degree) with graduate coursework. In addition, students must complete 45.0 credits of graduate courses to satisfy the requirements of the MS in Computer Science. Please refer to the linked program pages for the details of these requirements.

Undergraduate Degree Requirements
Computer Science Requirements
CS 164Introduction to Computer Science3.0
CS 171Computer Programming I3.0
or CS 175 Advanced Computer Programming I
CS 172Computer Programming II3.0
CS 260Data Structures4.0
CS 265Advanced Programming Tools and Techniques3.0
CS 270Mathematical Foundations of Computer Science3.0
CS 277Algorithms and Analysis3.0
CS 281Systems Architecture4.0
CS 283Systems Programming3.0
CS 360Programming Language Concepts3.0
SE 181Introduction to Software Engineering and Development3.0
or SE 201 Introduction to Software Engineering and Development
SE 310Software Design3.0
Upper Division Computer Science Courses6.0
Take 2 courses from the following list:
Concurrent Programming
Operating Systems
Software Security
Artificial Intelligence
Interactive Computer Graphics
Computer Networks: Theory, Applications and Programming
Software Verification and Validation
Computer Science electives 18.0
Students must take 6 additional courses (18 additional credits) composed of any 300-level or 400-level CS or SE course not already used to satisfy the requirement above (so students may take additional courses from the list above).
A maximum 3 courses may come from outside CS and SE.
Applied Symbolic Computation
Algorithmic Number Theory and Cryptography
Computing in the Small
Computer Game Design and Development
Processor Architecture & Analysis
Web Development
Machine Learning
Evolutionary Computing
Game AI Development
Reinforcement Learning
Software Defined Radio Laboratory
Computer Graphics
Computational Photography
Game Engine Programming
Theory of Computation
Compiler Implementation
Computational Network Neuroscience
Data Structures and Algorithms I
Data Structures and Algorithms II
Database Systems
Cloud Native Platform Engineering
Privacy and Trust
Network Security
High Performance Computing
Advanced Web Development
Advanced Network Security
Advanced Artificial Intelligence
Robust Machine Learning
Topics in Artificial Intelligence
Recommender Systems
Applied Deep Learning
Design with Embedded Processors
Modern Processor Design
Introduction to Parallel Computer Architecture
High Performance Computing
Game Development: Workshop I
Game Development: Workshop II
Human-Centered Design Process & Methods
Cloud Computing and Big Data
Software Project Management
Numerical Analysis I
Numerical Analysis II
Introduction to Optimization Theory
Cryptography
Software Architecture
Software Evolution
Open Source Software Engineering
Computing & Informatics Requirements
CI 101Computing and Informatics Design I2.0
CI 102Computing and Informatics Design II2.0
CI 103Computing and Informatics Design III2.0
CI 491Senior Project I3.0
CI 492Senior Project II3.0
CI 493Senior Project III3.0
Mathematics Requirements
MATH 121Calculus I4.0
MATH 122Calculus II4.0
MATH 123Calculus III4.0
MATH 200Multivariate Calculus4.0
MATH 201Linear Algebra4.0
MATH 221Discrete Mathematics3.0
MATH 311Probability and Statistics I4.0
Science Requirements19.0
Select one of the following lab science sequences:
Cells and Biomolecules
and Cells and Biomolecules Lab
and Genetics and Evolution
and Genetics and Evolution Lab
and Physiology and Ecology
and Anatomy and Ecology Lab
General Chemistry I
and General Chemistry II
and General Chemistry III
Fundamentals of Physics I
and Fundamentals of Physics II
and Fundamentals of Physics III
Science electives (see below)
Arts & Humanities Requirements
COM 230Techniques of Speaking3.0
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
or ENGL 111 English Composition I
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
or ENGL 112 English Composition II
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
or ENGL 113 English Composition III
PHIL 311Ethics and Information Technology3.0
Writing & Communications electives (see below)6.0
Arts & Humanities, Business, or Social Studies electives (see below) *18.0
Universtiy Requirements
CIVC 101Introduction to Civic Engagement1.0
COOP 101Career Management and Professional Development1.0
UNIV CI101The Drexel Experience2.0
or CI 120 CCI Transfer Student Seminar
Free electives15.0
Graduate Degree Requirements
Core Courses15.0
Choose 1 course from each category
Theory
Data Structures and Algorithms I
Theory of Computation
Computer Systems
Operating Systems
Computer Networks
Intelligent Systems
Introduction to Artificial Intelligence
Machine Learning
Programming Systems
Programming Languages
Software Design
Applications
Fundamentals of Databases
Cryptography
Developing User Interfaces
Computer Graphics
Interactive Computer Graphics
High Performance Computing
Game Engine Programming
Applied Symbolic Computation
Introduction to Computer Vision
Privacy
Security Engineering
Major Specifc Electives18.0
Choose 6 additional graduate-level CS and/or SE courses except CS 501, CS 502, CS 503, CS 504
May include 6 credits of thesis coursework
Flexible Electives12.0
Choose 4 additional courses, which may include:
Any graduate-level courses within the College (CI, CS, CT, DSCI, INFO, SE)
Up to 6 credits of independent study
Up to 6 credits of thesis coursework
Up to 6 credits of related graduate-level coursework outside of the College, with priod approval by the College
Total Credits226.0
*

At least 3.0 credits must be taken from a Business category course (see below) and at least 3.0 credits must be taken from a Social Studies category (see below)

When completing undergraduate CS electives and graduate CS courses, students should take care to avoid equivalent courses at both the undergraduate and graduate levels. Please consult with your advisor for courses that should not be taken at both the undergraduate and graduate level.

Program Electives

Independent Study courses and Special Topics courses must be approved by the department prior to enrollment to satisfy a program elective requirement.

  • Science electives: any CHEM (100-499 [except CHEM 111, CHEM 112, CHEM 113, CHEM 114, CHEM 151]), BIO (100-499 [except BIO 161, BIO 162, BIO 163; can take only one of BIO 100 or BIO 107; can take only one of BIO 101 or BIO 109]), PHYS (100-499 [except PHYS 050, PHYS 100, PHYS 151, PHYS 160, PHYS 305, PHYS 324, PHYS 405; cannot take both PHYS 131 & PHYS 181]), ENVS (100-499), ENSS (100-499), PHEV (100-499)
  • Writing & Communications electives: any undergraduate WRIT (100-499), COM (100-499), ENGL (100-499) courses officially certified as Writing Intensive (WI), SCRP 270, and SCRP 275
  • Business electives: any undergraduate ACCT (100-499), BLAW (100-499), BUSN (100-499), ECON (100-499), ENTP (100-499), FIN (100-499), HRMT (100-499), INTB (100-499), MGMT (100-499), MIS (100-499), MKTG (100-499), OPM (100-499), OPR (100-499), ORGB (100-499), SMT (100-499), STAT (100-499), TAX (100-499)
  • Social Studies electives: any AFAS (100-499), ANTH (100-499), GST (100-499), HIST (100-499), JWST (100-499), PSCI (100-499), PSY (100-499), SOC (100-499), WGST (100-499)
  • Arts & Humanities electives: any undergraduate ARCH (100-499), ARTH (100-499), CMGT (100-499), CJS (100-499), COM (100-499), CULA (100-499), DANC (100-499), EDEX (100-499), EDUC (100-499), ENGL (100-499 [except ENGL 101, ENGL 102, ENGL 103, ENGL 105, ENGL 111, ENGL 112, ENGL 113]), ESTM (100-499), FASH (100-499), FMST (100-499), FMTV (100-499), GST (100-499), INTR (100-499), LING (100-499), MUSC (100-499), PHIL (100-499), PHTO (100-499), THTR (100-499), VSCM (100-499), VSST (100-499), WRIT (100-499). Foreign Language (any undergraduate course 101-499 in ARBC, CHIN, FREN, GER, HBRW, ITAL, JAPN, KOR, SPAN, including independent studies and special topics), LAW (100-499), and GMAP 260, ANIM 140, ANIM 141, ANIM 211, ANIM 212 

Writing-Intensive Course Requirements

In order to graduate, all students must pass three writing-intensive courses after their freshman year. Two writing-intensive courses must be in a student's major. The third can be in any discipline. Students are advised to take one writing-intensive class each year, beginning with the sophomore year, and to avoid “clustering” these courses near the end of their matriculation. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.

A "WI" next to a course in this catalog may indicate that this course can fulfill a writing-intensive requirement. For the most up-to-date list of writing-intensive courses being offered, students should check the Writing Intensive Course List at the University Writing Program. Students scheduling their courses can also conduct a search for courses with the attribute "WI" to bring up a list of all writing-intensive courses available that term.

Sample Plan of Study

Plan of Study Grid
First Year
FallCredits
CI 101 Computing and Informatics Design I 2.0
CS 164 Introduction to Computer Science 3.0
ENGL 101
Composition and Rhetoric I: Inquiry and Exploratory Research
or English Composition I
3.0
MATH 121 Calculus I 4.0
UNIV CI101 The Drexel Experience 1.0
(UG) Arts & Humanities Elective 4.0
 Credits17
Winter
CI 102 Computing and Informatics Design II 0.0,2.0
CIVC 101 Introduction to Civic Engagement 1.0
COOP 101 Career Management and Professional Development * 1.0
CS 171
Computer Programming I
or Advanced Computer Programming I
0.0-3.0
ENGL 102
Composition and Rhetoric II: Advanced Research and Evidence-Based Writing
or English Composition II
3.0
MATH 122 Calculus II 4.0
(UG) Lab Science course 4.5
 Credits13.5-18.5
Spring
CI 103 Computing and Informatics Design III 2.0
CS 172 Computer Programming II 0.0,3.0
ENGL 103
Composition and Rhetoric III: Themes and Genres
or English Composition III
3.0
MATH 123 Calculus III 4.0
UNIV CI101 The Drexel Experience 1.0
(UG) Lab Science course 4.5
 Credits14.5-17.5
Summer
VACATION  
 Credits0
Second Year
Fall
CS 265 Advanced Programming Tools and Techniques 3.0
CS 270 Mathematical Foundations of Computer Science 3.0
MATH 201 Linear Algebra 4.0
SE 181
Introduction to Software Engineering and Development
or Introduction to Software Engineering and Development
3.0
(UG) Science elective 4.0
 Credits17
Winter
CS 260 Data Structures 4.0
MATH 200 Multivariate Calculus 0.0,4.0
MATH 221 Discrete Mathematics 3.0
(UG) Science elective 4.0
(UG) Writing & Communications elective 3.0
 Credits14-18
Spring
CS 277 Algorithms and Analysis 3.0
CS 281 Systems Architecture 0.0,4.0
COM 230 Techniques of Speaking 3.0
SE 310 Software Design 3.0
(UG) Science elective 3.0
 Credits12-16
Summer
CS 283 Systems Programming 3.0
CS 360 Programming Language Concepts 3.0
(UG) Arts & Humanities electives 5.0
(UG) Writing & Communications elective 3.0
 Credits14
Third Year
Fall
MATH 311 Probability and Statistics I 0.0,4.0
PHIL 311 Ethics and Information Technology 3.0
(UG) Upper Division Computer Science Courses 6.0
(UG) Computer Science electives 3.0
 Credits12-16
Winter
(UG) Arts & Humanities elective 4.0
(UG) Computer Science electives 12.0
 Credits16
Spring
COOP EXPERIENCE  
 Credits0
Summer
COOP EXPERIENCE  
 Credits0
Fourth Year
Fall
CI 491 Senior Project I 3.0
(UG) Business elective 4.0
(UG) Science elective 3.0
(GR) MS Core Course counts as (UG) Free Elective 3.0
 Credits13
Winter
CI 492 Senior Project II 3.0
(UG) Free electives 6.0
(GR) MS Core Course counts as (UG) Free Elective 3.0
 Credits12
Spring
CI 493 Senior Project III 3.0
(UG) Free elective 3.0
(UG) Computer Science electives 3.0
(UG) Arts & Humanities elective 3.0
Student awarded BS Degree  
 Credits12
Summer
STUDENT CLASSIFIED AS GRADUATE STUDENT  
(GR) MS Core courses 6.0
(GR) MS Major Specific elective 3.0
 Credits9
Fifth Year
Fall
(GR) MS Major Specific electives 9.0
(GR) MS Flexible Elective 3.0
 Credits12
Winter
(GR) MS Core course 3.0
(GR) MS Major Specific elective 3.0
(GR) MS Flexible elective 3.0
 Credits9
Spring
(GR) MS Major Specific elective 3.0
(GR) MS Flexible electives 6.0
 Credits9
 Total Credits206-226