Oct 05, 2024

2024-2025 Rowan University Academic Catalog

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2024-2025 Rowan University Academic Catalog

Bachelor of Science in Data Science

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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-.

General Education

All students starting before Fall 2018 and transfer students must complete the University General Education Requirements as described in the Undergraduate Program Requirements .

Rowan Core

All first-time Freshmen starting in Fall 2018 or after must complete the University Rowan Core Requirements as described in Undergraduate Program Requirements .

Rowan Experience

All students must complete the Rowan Experience requirements as described in Undergraduate Program Requirements .

Program Requirements

Required Non-Program Courses: 3 s.h.

CS 04103 - Computer Science and Programming Credits: 4

Required (Foundational) Courses in the major: 28 s.h.

(may also fulfill General Education or Rowan Core Requirements)

DS 01100 - Introduction to Data Science Credits: 3
CS 01104 - Introduction to Programming and Problem Solving Credits: 3
CS 04225 - Principles of Data Structures Credits: 3
MATH 01130 - Calculus I 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

Required (Upper-Level and Research) Courses in the major: 27 s.h.

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

Restricted Electives: 9 s.h.

Nine (9) s.h. selected from the following:

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: 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.

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