Minors in Applied Computing

Note: The information below provides convenient links to some of the courses required for this degree; however, it should not be used as a course registration guide. Please refer to the official Lander University Academic Catalog for the most accurate and up-to-date program requirements.

Computer Information Systems Minor

A minor in computer information systems consists of:

CIS 102: Application Software
CIS 120: Fundamentals of Information Systems and Information Technology
CIS 130: Problem Solving and Programming Methods
CIS 230: Computer Programming Principles I
CIS 231: Computer Programming Principles II
CIS 321: Analysis and Design
one of the following courses:
- MATH 125: Introduction to Descrete Mathematics
- MATH 212: Statistical Methods II
- MATH 270: Topics in Mathematics and Statistics
- MATH 308: Linear Algebra
- MATH 311: Mathematical Statistics
- MATH 325: Discrete Mathematics

A grade of "C" or better is required in each course applied to the computer information systems minor.

Cybersecurity Minor

A minor in cybersecurity consists of:

CIS 130: Problem Solving and Programming Methods
CIS 240: Introduction to Data Communications
CYBR 140: Networking Lab
CYBR 243: Fundamentals of Cybersecurity
CYBR 260: Network and System Administration
two of the following courses:
- CYBR 343: Computer Forensics
- CYBR 344: Network Security and Froensics
- CYBR 345: Introduction to Cryptography
- CYBR 443: Special Topics in Cybersecurity

A grade of "C" or better is required in each course applied to the cybersecurity minor.

Data Science Minor

A minor in data science consists of 19 credit hours, as follows:

DSCI 130: Introduction to Data Science
DSCI 230: Introduction to Data Science Programming
MATH 211: Statistical Methods I
or MATH 311: Mathematical Statistics
Choose one of the following combinations
- CIS 360: Database Design
  DSCI 231: Data Visualization, and
  DSCI 330: Big Data Analysis
- CIS 360: Database Design
  BA 226: Introduction to Analytical Methods, and
  DSCI 330: Big Data Analysis
- MATH 208: Applied Linear Algebra
  or MATH 308: Linear Algebra
  MATH 213: Supervised Machine Learning, and
  DSCI 340: Applied Machine Learning
- MATH 208: Applied Linear Algebra
  or MATH 308: Linear Algebra
  MATH 214: Unsupervised Machine Learning, and
  DSCI 440: Applied Deep Learning

Some courses in this minor have pre-requisites, such as: CIS 120, CIS 230, CIS 102 or CIS 202, and MATH 125 or MATH 325.

A grade of “C” or better is required in each course applied to the data science minor.

Information Technology Minor

A minor in information technology consists of:

One mathematics requirement:
- MATH 114: Precalculus
- MATH 121: Mathematical Applications
- MATH 123: Calculus and its Applications
- MATH 141: Single Variable Calculus I
  or MATH 211: Statistical Methods I
One introductory computer applications course
- CIS 120: Fundamentals of Information Systems and Information Technology
  and either
- CIS 102: Application Software
  or CIS 202: Computer Applications for Engineers (CIS 202 requires completion of MATH 141)
Two problem solving and computer programming courses
- CIS 130: Problem Solving and Programming Methods
- CIS 230: Computer Programming Principles I
One computer networks or advanced computer information systems course chosen from the following:
- CIS 240: Introduction to Data Communications
- CIS 250: Introduction to E-Commerce
- CIS 320: Information Systems and Practice
- CIS 321: Analysis and Design
- CIS 360: Database Design

Students must maintain a 2.0 GPA in courses in the minor.