Student ID:__________________________ Student Name:_______________________ Advisor Name:_______________________

Catalog: 2025-2026 Rowan University Academic Catalog Program: Bachelor of Science in Data Science Minimum Credits Required:__________________

Bachelor of Science in Data Science

This major is an interdisciplinary degree, offered jointly by the Departments of Mathematics and Computer Sciences and housed in the Department of Mathematics, that provides students with the theoretical foundations and practical knowledge and skills needed to become a data scientist able to manage and process big data.

This program consists of 120 semester hours of course work in the disciplines of in Mathematics, Statistics, and Computer Science. Students in consultation with faculty advisors can construct flexible and comprehensive programs to prepare them for careers in business, industry, or government in positions such as researchers, actuaries, statisticians, or data analysts.

Majors must pass all required and restricted elective courses needed for graduation with no grade lower than a C-.

Rowan Core: 9 s.h.

All first-time Freshmen must complete the University Rowan Core Literacies. There are six literacies:

Communicative Literacy (COML) - 9 s.h. Satisfied by taking the following three courses:
- COMP 01111 College Composition I
- COMP 01112 College Composition II
- CMS 04205 Public Speaking
- Note: Engineering Majors will take (11 s.h.)
  - COMP 01111 College Composition I
  - ENGR 01201 Sophomore Engineering Clinic I
  - ENGR 01202 Sophomore Engineering Clinic II
Artistic Literacy (ARTL)
Global Literacy (GLBL)
Humanistic Literacy (HUML)
Quantitative Literacy (QNTL)
Scientific Literacy (SCIL)

Majors may suggest courses to fulfill the above literacies and will be applied elsewhere.

A complete listing of courses that fulfill the above literacies can be found here Undergraduate Program Requirements.

Rowan Experience

Students must satisfy all three Rowan Experience attributes. Credits attached to the courses in this section will apply elsewhere.

The attributes are as follows:

Broad-Based Literature Attribute (LIT)
Writing Intensive Attribute (WI)
Rowan Seminar Attribute*(RS)

Departments may recommend courses to fulfill these attributes. A complete listing of courses that satisfy these attributes can be found at Undergraduate Program Requirements.

*The Rowan Seminar requirement is waived for all students transferring 24 or more approved credits into Rowan University at the time of initial entry.

Program Requirements

Non-Program Courses: 18 s.h.

Courses in this section cannot be in the major department.

Course Name

Credits:

Term Taken

Grade

Gen Ed

CS 04103 - Computer Science and Programming

Credits: 4

WA 01302 - Introduction to Technical Writing - WI (Satisfies Writing Intensive (WI) Attribute)

Credits: 3

Foundational Courses: 28-29 s.h.

(may also fulfill General Education or Rowan Core Requirements)

Course Name

Credits:

Term Taken

Grade

Gen Ed

MATH 01000 - Mathematics Learning Community-Rowan Seminar (Data Science Section/Rowan Seminar)

Credits: 1

DS 01101 - In-Depth Introduction to Data Science

Credits: 4

DS 01100 - Introduction to Data Science

Credits: 3

CS 01104 - Introduction to Programming and Problem Solving (Python Section)

Credits: 3

CS 04225 - Principles of Data Structures

Credits: 3

MATH 01130 - Calculus I (Satisfies Quantitative Literacy (QNTL) requirement)

Credits: 4

MATH 01131 - Calculus II

Credits: 4

MATH 01210 - Linear Algebra

Credits: 3

MATH 01230 - Calculus III

Credits: 4

MATH 03150 - Discrete Mathematics

Credits: 3

Upper-Level and Research Courses: 27 s.h.

Course Name

Credits:

Term Taken

Grade

Gen Ed

CS 02421 - Big Data Tools and Techniques

Credits: 3

CS 02435 - Database Systems: Theory and Programming

Credits: 3

CS 02370 - Introduction to Information Visualization

Credits: 3

CS 07455 - Machine Learning

Credits: 3

CS 02480 - Introduction to Data Mining

Credits: 3

STAT 02340 - Elements of Statistical Learning

Credits: 3

STAT 02320 - Concepts in Statistical Data Analysis

Credits: 3

STAT 02360 - Probability and Random Variables

Credits: 3

DS 01390 - Data Science Research I

Credits: 3

DS 01490 - Data Science Research II

Credits: 3

Data Science Electives: 9 s.h.

Choose three from the following:

Course Name

Credits:

Term Taken

Grade

Gen Ed

CS 04215 - Computer Laboratory Techniques

Credits: 3

CS 02440 - Data Warehousing

Credits: 3

CS 07342 - Algorithms for the Data Scientist

Credits: 3

CS 02485 - Web and Text Mining

Credits: 3

DS 02395 - Topics in Data Science

Credits: 1 to 3

STAT 02311 - Introduction to Statistical Computing

Credits: 3

STAT 02350 - Regression Analysis

Credits: 3

STAT 02371 - Design of Experiments: Analysis of Variance

Credits: 3

STAT 02450 - Advanced Data Analysis (Multivariate and Bayesian)

Credits: 3

Free Electives: 28-29 s.h.

Try to use at least 12 s.h. to build an area of expertise relevant to your program.

Total Required Credits for the Program: 120 s.h.

Notes:

Course Name	Credits:	Term Taken	Grade	Gen Ed
Student ID:__________________________ Student Name:_______________________ Advisor Name:_______________________	Catalog: 2025-2026 Rowan University Academic Catalog Program: Bachelor of Science in Data Science Minimum Credits Required:__________________
Bachelor of Science in Data Science This major is an interdisciplinary degree, offered jointly by the Departments of Mathematics and Computer Sciences and housed in the Department of Mathematics, that provides students with the theoretical foundations and practical knowledge and skills needed to become a data scientist able to manage and process big data. This program consists of 120 semester hours of course work in the disciplines of in Mathematics, Statistics, and Computer Science. Students in consultation with faculty advisors can construct flexible and comprehensive programs to prepare them for careers in business, industry, or government in positions such as researchers, actuaries, statisticians, or data analysts. Majors must pass all required and restricted elective courses needed for graduation with no grade lower than a C-.
Rowan Core: 9 s.h. All first-time Freshmen must complete the University Rowan Core Literacies. There are six literacies: Communicative Literacy (COML) - 9 s.h. Satisfied by taking the following three courses: COMP 01111 College Composition I COMP 01112 College Composition II CMS 04205 Public Speaking Note: Engineering Majors will take (11 s.h.) COMP 01111 College Composition I ENGR 01201 Sophomore Engineering Clinic I ENGR 01202 Sophomore Engineering Clinic II Artistic Literacy (ARTL) Global Literacy (GLBL) Humanistic Literacy (HUML) Quantitative Literacy (QNTL) Scientific Literacy (SCIL) Majors may suggest courses to fulfill the above literacies and will be applied elsewhere. A complete listing of courses that fulfill the above literacies can be found here Undergraduate Program Requirements.
Rowan Experience Students must satisfy all three Rowan Experience attributes. Credits attached to the courses in this section will apply elsewhere. The attributes are as follows: Broad-Based Literature Attribute (LIT) Writing Intensive Attribute (WI) Rowan Seminar Attribute(RS) Departments may recommend courses to fulfill these attributes. A complete listing of courses that satisfy these attributes can be found at Undergraduate Program Requirements. The Rowan Seminar requirement is waived for all students transferring 24 or more approved credits into Rowan University at the time of initial entry.
Program Requirements
Non-Program Courses: 18 s.h. Courses in this section cannot be in the major department.
CS 04103 - Computer Science and Programming	Credits: 4
WA 01302 - Introduction to Technical Writing - WI (Satisfies Writing Intensive (WI) Attribute)	Credits: 3
Foundational Courses: 28-29 s.h. (may also fulfill General Education or Rowan Core Requirements)
Course Name	Credits:	Term Taken	Grade	Gen Ed
MATH 01000 - Mathematics Learning Community-Rowan Seminar (Data Science Section/Rowan Seminar)	Credits: 1

DS 01101 - In-Depth Introduction to Data Science	Credits: 4
or
DS 01100 - Introduction to Data Science	Credits: 3

CS 01104 - Introduction to Programming and Problem Solving (Python Section)	Credits: 3
CS 04225 - Principles of Data Structures	Credits: 3
MATH 01130 - Calculus I (Satisfies Quantitative Literacy (QNTL) requirement)	Credits: 4
MATH 01131 - Calculus II	Credits: 4
MATH 01210 - Linear Algebra	Credits: 3
MATH 01230 - Calculus III	Credits: 4
MATH 03150 - Discrete Mathematics	Credits: 3
Upper-Level and Research Courses: 27 s.h.
Course Name	Credits:	Term Taken	Grade	Gen Ed
CS 02421 - Big Data Tools and Techniques	Credits: 3
CS 02435 - Database Systems: Theory and Programming	Credits: 3
CS 02370 - Introduction to Information Visualization	Credits: 3
CS 07455 - Machine Learning	Credits: 3

CS 02480 - Introduction to Data Mining	Credits: 3
or
STAT 02340 - Elements of Statistical Learning	Credits: 3

STAT 02320 - Concepts in Statistical Data Analysis	Credits: 3
STAT 02360 - Probability and Random Variables	Credits: 3
DS 01390 - Data Science Research I	Credits: 3
DS 01490 - Data Science Research II	Credits: 3
Data Science Electives: 9 s.h. Choose three from the following:
Course Name	Credits:	Term Taken	Grade	Gen Ed
CS 04215 - Computer Laboratory Techniques	Credits: 3
CS 02440 - Data Warehousing	Credits: 3
CS 07342 - Algorithms for the Data Scientist	Credits: 3
CS 02485 - Web and Text Mining	Credits: 3
DS 02395 - Topics in Data Science	Credits: 1 to 3
STAT 02311 - Introduction to Statistical Computing	Credits: 3
STAT 02350 - Regression Analysis	Credits: 3
STAT 02371 - Design of Experiments: Analysis of Variance	Credits: 3
STAT 02450 - Advanced Data Analysis (Multivariate and Bayesian)	Credits: 3
Free Electives: 28-29 s.h. Try to use at least 12 s.h. to build an area of expertise relevant to your program.
Total Required Credits for the Program: 120 s.h.
Notes: