FAQ for Digital Marketing and Marketing Analytics | Master of Science in Digital Marketing
Program Overview and Curriculum
Our program covers both digital marketing strategy and marketing analytics equally well. Students will have sufficient skills for both sides, but we allow students to deepen their knowledge and skills by choosing a specialty, depending on student’s career objectives. Digital Marketing involves not only digital marketing strategy (e.g., social media marketing, SEO, database marketing, mobile marketing) but also evaluating and tuning up the marketing programs based on data. Although the program name does not have the word “analytics,” it is inevitable for digital marketing to deal with analytics. For marketing analytics, we cover not only the traditional research method dealing with primary data, but also secondary data generated by CRM tools, using data science methods tailored for marketing. Whether you are oriented towards the creative side or analytic side, we cover both so that no matter which side you may prefer to focus in your career, you can communicate effectively to the other side and manage both sides as you move up the ladder in your organization.
While job decisions are a personal choice, graduates of this program will be trained for entry-level jobs or managerial positions for brands and suppliers. Example positions that graduates of the program would be prepared for can be broadly classified under the two categories.
Digital Marketing Strategy:
- Digital Marketing Specialist / Manager / Director
- Growth Marketing Manager
- Content Marketing Manager
- Social Media Marketing Specialist / Coordinator / Manager
- Email Marketing Manager
- SEO Specialist
- PPC (pay-per-click) Specialist
- Database Marketing Specialist
- Web Design Specialist
- Content Marketing Specialist
Marketing Analytics:
- Marketing Analytics Manager
- Digital Marketing Analytics Manager
- Customer Analytics Director
- Marketing Data Scientist
- Marketing Data Analyst
- Digital Marketing Data Analyst
- Email Marketing Analyst
- Marketing Strategy Analyst
- SEO Analyst
- Social Media and Web Analytics Specialist
- Consumer Insights Analyst
- Research Associate
- Research Director
Our faculty is well-connected to the industry, bringing practical, hands-on projects to the classroom. Our curriculum is responsive to changing industry development, offering networking opportunities and industry expert series. Plus, the Center for Customer Insights and Digital Marketing provides students with infrastructure for research and internship opportunities. To help students get ready for the job market, MSDM faculty integrate micro-internship into their courses and support student clubs.
R is widely used in the program because it is a powerful, open-source statistical programming language optimized for modern data science, known especially for data visualization with the ggplot2 package. R is easier to learn than Python, a more popular data science programming tool and general purpose, object oriented language. R is made up of tens of thousands of packages that experts across scientific fields created to share with the scientific community. There is a committee that evaluates new packages submitted for use in the R community. There are conferences of R users to push the envelope for the love of science. There are many websites, blogs, and YouTube videos that teach R and provide support to R users. Due to vibrant community efforts, innovations and advancements in methods are instantly added to R. There is nothing you cannot do with R that you can do with proprietary commercial statistical packages such as SAS, SPSS, and STATA. Users of proprietary statistical software are switching to R. R and its ecosystems will satisfy all your analytics needs. Due to its importance in the program, students will be required to take IBM 5910 (Strategic Data Wrangling and Visualization) course in their first semester. In most analytics courses, R is likely to be the major tool. Due to the steep learning curve in learning R, it would be a good idea to learn some basics of R from many online programs such as DWV101.
Admissions Requirements
Required documents are:
- 4-year Bachelor’s degree with all college transcripts that contribute to the 4-year college degree (All transfer credits and their grades should show up on the transcripts)
- A minimum overall GPA of 2.5 out of 4.0
- At least one letter of Recommendation
- Personal Statement or Statement of Purpose
- (For international students), Proof of English Proficiency.
Optional documents include:
- Resume
- Portfolio
- Certificates
- Evidence of working knowledge of college-level math (Algebra and Calculus) if your transcripts do not show the course.
- Evidence of working knowledge of basic statistics if your transcripts do not show the course.
- GMAT/GRE
There have been many challenges to the utility of standardized tests in predicting student’s academic performance and success. For instance, there are some great students who perform badly on tests due to test anxiety. There are many other factors that determine one’s success in study and professional career. Thus, increasingly more universities have removed GRE/GMAT tests from requirements (e.g., Harvard).
Students need solid written and oral communication skills and knowledge in algebra, basic calculus, and basic statistics. Students who have not taken College Algebra can apply as long as they had taken a statistics course. Depending on the level of applicants’ course work in math and science as shown in the transcripts, the program can admit applicants with a recommendation to take crash courses in math or/and statistics with an advising hold placed on their account.
Here are a list of acceptable tests and minimum score:
- TOEFL score of 550 (paper-based), 213 (computer-based) or 80 (internet-based)
- IELTS of 6.5 or above
- Duolingo Test 105 and above
How do I apply to the program?
Refer to the Application page on our website for detailed application instructions.
Your official transcripts and English Proficiency exam scores are to be sent to the Admissions & Enrollment Planning at:
Admissions & Enrollment Planning
California State Polytechnic University, Pomona
3801 West Temple Ave.
Pomona, CA 91768
All other application items should be uploaded to your Cal State Apply application.
Unfortunately, BroncoDirect does not indicate if our offices have received your supporting documentation. Please call our office at +1 909-869-2288 or email us at msdm@cpp.edu if you have any questions. If any supporting documents are missing, we will inform you via email.
International Students
Yes! The program’s CIP code is CIP 52.1399, which makes the MSDM a STEM-designated program by the Department of Homeland Security. International students with STEM-designated degrees are eligible for a 24-month extension of their Optional Practical Training (OPT), beyond the standard 12 months. This allows you to work in the United States for up to 36 months after graduation without needing employer sponsorship for a work visa.
For international applicants, the same general admissions requirements, as stated above, will apply. However, international applicants are also required to provide the following information, in addition to the CSU application:
- Affidavit of Financial Support
- Agreement to Purchase Cal Poly Pomona Group Health Insurance
- Supplementary Information of International (VISA) applicants
Financial Aid and Assistantship
MSDM tuition is competitive and the same for in-state and out-of-state students, offering significant savings for students from overseas and other states. Please visit the Financial Aid and Scholarship website for the current costs of tuition.