Marketing, BS Digital Marketing Emphasis

81-87 credit hours in major

Requirements

PCB&E GE and PCB&E Core Coursework

51-57 credit hours of coursework from the following requirements:

General Education Business Requirements

Core Business Requirements

Major Coursework

15 credit hours of coursework from the following options:

MRKT 35020Marketing Information and Research

3

MRKT 35040Advertising and Promotional Strategy

3

MRKT 35045Digital Marketing

3

MRKT 35050Selling

3

MRKT 45080Marketing Management and Planning

3

Major Elective Coursework

3 credit hours of coursework from the following options:

APR 32280Public Relations: Communication Strategies

3

APR 33900Effective Messaging in Public Relations

3

APR 41600Advertising and Public Relations Competition I

3

APR 41700Advertising and Public Relations Competition II

3

MGMT 36042Principles of Supply Chain Management

3

MRKT 35010Principles of Marketing

3

MRKT 35030Pricing Strategy and Negotiations

3

MRKT 35060Product Management

3

MRKT 39000-39999Special Topics in Marketing

1-3

MRKT 45060Marketing Communications

3

MRKT 49000-49999Special Topics in Marketing

1-3

SPMGT 37040Sport Marketing and Promotion

3

SPMGT 37050Sport Event & Entertainment Management

3

Emphasis Coursework

3 credit hours of coursework from the following option:

MRKT 35025Social Media Marketing

3

Emphasis Elective Coursework

6 credit hours of coursework from the following options:

APR 36300Creative Advertising Concepts

3

DCS 38700Emerging Platforms and Analytics

3

DCS 40000Contemporary Audience Analysis

3

MRKT 45070Consumer Behavior

3

MRKT 45095Internship

1-9

Note: Students may include one (3 credit hour) MRKT 45095 internship to satisfy one of the two course requirements above for the Marketing program.

Emphasis Elective Coursework Cont.

3 credit hours of coursework from the following options.

AAD 10050Web Design I

3

AAD 10100Emerging Technologies

3

AAD 11000Programming Logic

3

AAD 20300Adobe Certification in Photoshop

3

DSCI 11000Introduction to Data Science

3