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Student ID:__________________________ Student Name:_______________________ Advisor Name:_______________________ Catalog: 2026-2027 Rowan University Academic Catalog Program: Minor in Data Science Minimum Credits Required:__________________

Minor in Data Science

The minor in Data Science is designed to give students a strong foundation in programming, data structures, statistics, and data mining. The program will allow students to be able to use data science skills in any area of specialization, and it prepares them to work as Big Data analysts or to take advantage of large amounts of data in their own disciplines. In addition, the program will allow students to be able to understand issues related to ethics and privacy concerns posed by data mining.

The Data Science minor consists of 1 required course in each of 6 knowledge areas and 2 electives:

Required Courses: 19-20 s.h.

Programming:

Course NameCredits:Term TakenGradeGen Ed
CS 04103 - Computer Science and Programming Credits: 4

or

CS 04113 - Introduction to Object Oriented Programming Credits: 4

Data Structures:

Course NameCredits:Term TakenGradeGen Ed
CS 04222 - Data Structures and Algorithms Credits: 4

or

CS 04225 - Principles of Data Structures Credits: 3

Probability/Statistics:

Course NameCredits:Term TakenGradeGen Ed
STAT 02284 - Statistics for the Biomedical Sciences Credits: 3

or

STAT 02320 - Concepts in Statistical Data Analysis Credits: 3

or

STAT 02290 - Probability and Statistical Inference for Computing Systems Credits: 3

or

STAT 02280 - Biometry Credits: 4

or

STAT 02360 - Probability and Random Variables Credits: 3

Databases:

Course NameCredits:Term TakenGradeGen Ed
CS 02435 - Database Systems: Theory and Programming Credits: 3

Datamining:

Course NameCredits:Term TakenGradeGen Ed
CS 02480 - Introduction to Data Mining Credits: 3
STAT 02340 - Elements of Statistical Learning Credits: 3

Data Visualization:

Course NameCredits:Term TakenGradeGen Ed
CS 02370 - Introduction to Information Visualization Credits: 3

Choose Two Elective Courses from this list: 6 s.h.

Course NameCredits:Term TakenGradeGen Ed
CS 02421 - Big Data Tools and Techniques Credits: 3
CS 02440 - Data Warehousing Credits: 3
CS 07455 - Machine Learning Credits: 3
CS 02485 - Web and Text Mining Credits: 3
STAT 02371 - Design of Experiments: Analysis of Variance Credits: 3
STAT 02361 - Mathematical Statistics Credits: 3

 

MATH 03411 - Deterministic Models in Operations Research Credits: 3

or

MATH 03412 - Stochastic Models in Operations Research Credits: 3

Note:

  • A grade of C- or better is required in all prerequisite courses
  • A minimum grade point average of 2.0 is required in the courses completed

Total Required Credits for the Program: 25-26 s.h.

Notes:





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