Marketing Technology and Analytics MSM
Major: Marketing Technology and Analytics
Degree Awarded: Master of Science in Marketing (MSM)
Calendar Type: Quarter
Minimum Required Credits: 45.0
Classification of Instructional Programs (CIP) code: 52.1399
Standard Occupational Classification (SOC) code: 13-1161
About the Program
The STEM-designated Marketing Technology and Analytics major teaches students how to use cutting-edge tools to turn big data into actionable insights. They learn how to deepen their statistical prowess by working with large business datasets, and they differentiate themselves in the new, data-driven environment by understanding experimental design and analysis.
The curriculum focuses on honing communication skills when presenting data findings and recommendations to leadership. This major positions graduates for jobs such as marketing analytics manager, digital marketing analyst, marketing research analyst, manager of strategy and insights, and paid search manager.
Additional Information
For more information, please contact our Graduate Student Services department at lebowgradenroll@drexel.edu.
Admission Requirements
Graduate admission is based on a holistic review process, which takes into consideration prior academic history, demonstration of professional experience and adequate preparation for graduate study. Please review the admission requirements for both domestic and international applicants on our Graduate Application Requirements web page before submitting your application.
Degree Requirements
Required Core | ||
BLAW 621 | Legal Issues in Business | 3.0 |
ORGB 511 | Leading in Dynamic Environments: A Personal, Relational, and Strategic Approach | 3.0 |
Required Marketing Core | ||
BSAN 601 | Business Analytics for Managers | 3.0 |
MKTG 601 | Marketing Strategy & Planning | 3.0 |
MKTG 606 | Customer Analytics | 3.0 |
MKTG 622 | Buyer Behavior Theory | 3.0 |
MKTG 627 | Digital Marketing | 3.0 |
MKTG 652 | Marketing Information Management and Research | 3.0 |
Select three (3) from the following Major courses: | 9.0 | |
Data Visualization & Analytics | ||
Marketing Experiments | ||
Managerial Decision Models and Simulation | ||
Datamining for Managers | ||
Electives (Select three (3) from the following) | 9.0 | |
Strategic International Communication | ||
Theories of Communication and Persuasion | ||
Research Methods for Digital Media | ||
Corporate Financial Management | ||
Foundations of Data and Information | ||
Social Network Analytics | ||
Global Marketing | ||
New Product Planning, Strategy, and Development | ||
Services Marketing | ||
Corporate Brand & Reputation Management | ||
Special Topics in MKTG | ||
Experiential Learning (Select one (1) of the following) | 3.0 | |
Graduate Internship | ||
International Business Seminar and Residency | ||
Leading for Innovation | ||
Business Consulting | ||
Negotiations for Leaders | ||
Total Credits | 45.0 |
Sample Plan of Study
Full-Time
First Year | |||||||
---|---|---|---|---|---|---|---|
Fall | Credits | Winter | Credits | Spring | Credits | Summer | Credits |
BLAW 621 | 3.0 | MKTG 622 | 3.0 | MKTG 606 | 3.0 | MKTG 627 | 3.0 |
BSAN 601 | 3.0 | ORGB 511 | 3.0 | Major Course | 3.0 | Required Experiential Course | 3.0 |
MKTG 601 | 3.0 | Major Course | 3.0 | Elective Course | 3.0 | Elective Course | 3.0 |
9 | 9 | 9 | 9 | ||||
Second Year | |||||||
Fall | Credits | ||||||
MKTG 652 | 3.0 | ||||||
Major Course | 3.0 | ||||||
Elective Course | 3.0 | ||||||
9 | |||||||
Total Credits 45 |
Part-Time
First Year | |||||||
---|---|---|---|---|---|---|---|
Fall | Credits | Winter | Credits | Spring | Credits | Summer | Credits |
BLAW 621 | 3.0 | MKTG 622 | 3.0 | BSAN 601 | 3.0 | MKTG 627 | 3.0 |
MKTG 601 | 3.0 | ORGB 511 | 3.0 | Major Course | 3.0 | Experiential Course | 3.0 |
6 | 6 | 6 | 6 | ||||
Second Year | |||||||
Fall | Credits | Winter | Credits | Spring | Credits | Summer | Credits |
MKTG 652 | 3.0 | Major Course | 3.0 | MKTG 606 | 3.0 | Elective Course * | 3.0 |
Major Course | 3.0 | Elective Course | 3.0 | Elective Course | 3.0 | ||
6 | 6 | 6 | 3 | ||||
Total Credits 45 |
- *
Note: This term is less than the 4.5-credit minimum required (considered half-time status) of graduate programs to be considered financial aid eligible. As a result, aid will not be disbursed to students this term.
Program Level Outcomes
Upon completion of the program, graduates will be prepared to:
- Develop advanced quantitative and analytical skills essential for interpreting and analyzing marketing data, including statistical analysis, data mining, marketing experiments, and predictive modeling techniques.
- Acquire proficiency in interpreting marketing data and presenting insights effectively through data visualization tools and techniques, aiding in decision-making processes.
- Understand and apply key marketing metrics and performance indicators to measure and evaluate the effectiveness of marketing strategies, campaigns, and initiatives.
- Apply marketing analytics concepts and techniques in practical scenarios through case studies, projects, or internships, demonstrating the ability to derive actionable insights from data.
- Effectively communicate complex marketing analytics findings and recommendations to diverse stakeholders, including non-technical audiences, aiding in informed decision-making.