Data Analytics Minor

Grade Requirements: All classes must be passed with a C or higher.
Credit Hour Requirements: A total of a minimum 25 credit hours are required for all registered students.

Program Code: 4048 and apply cohort DA_SC for Students in School of Computing or DA_GSBE for Students in Goddard School of Business and Economics.
CIPC: 110102

Prerequisite Courses (6-10 credits)*

Students in School of Computing

CS 1030 - Foundations of Computing Credits: (4) or
NET 1300 - Networks and Emerging Technologies Credits: (3)
MATH 1040 QL - Introduction to Statistics Credits: (3)

Students in Goddard School of Business and Economics

MATH 1050 QL - College Algebra Credits: (4) AND
MIS 2110 - Software Development I Credits: (3) or
MIS 2010 - Business Computer Skills Credits: (1)
QUAN 2600 - Business Statistics I Credits: (3)

Required Courses (a minimum of 19 credits)

Core Courses (a minimum of 13 credits)

MIS 3210 - Database Design and Implementation Credits: (3) or
CS 2550 - Introduction to Database Design and SQL Credits: (4)
MIS 2030 - Introduction to Business Analytics Credits: (3)
CS 3550 - Advanced Database Programming Credits: (4) or
MIS 3230 - Data Mining for Business Credits: (3)
CS 3580 - Data Science Algorithms Credits: (4)

Elective Courses (a minimum of 6 credits)

CS 2420 - Introduction to Data Structures and Algorithms Credits: (4)
CS 4500 - Artificial Intelligence and Neural Networks Credits: (4)
MIS 3740 - Business Machine Learning Credits: (3) or
CS 5600 - Machine Learning Credits: (3)
SCM 3500 - Spreadsheet Modeling for Prescriptive Analytics Credits: (3)
MIS 3220 - Business Intelligence Credits: (3)

Note:

This minor is available to all students. Approval of a minor program by the John B. Goddard School of Business and the College of Engineering, Applied Science and Technology is required. Approval of elective courses by the Business Administration department and School of Computing is required.

See the Goddard School Advising Center, WB 211, (801) 626-6534 for advisement.

*Students from other departments can choose either of the two paths. Students are responsible for understanding any pre-requisites or conditions for chosen electives.