MS in Marketing Analytics

Fall 2026 Cohort

The MS Marketing Analytics curriculum is 30 credits. The curriculum is subject to change. Elective availability may be subject to change based on professor needs and student demand.

The MS in Marketing Analytics program is a 3-semester program with the option for students to accelerate. Students who wish to follow an accelerated plan (completion in 2 semesters) should make arrangements with their advisor, Leean Thomas, prior to the first semester.

Students join the MS in Marketing Analytics program with a variety of technical skills and educational and professional backgrounds. The resources below have been compiled to assist incoming new MS in Marketing Analytics students with preparing for their fall coursework.

All UMD students have unlimited complimentary access to LinkedIn Learning, an online library of >60,000 videos, courses, and career development paths focused on the latest software, creative, and business skills. 

MS in Marketing Analytics students will use SAS, R, Tableau, and Excel in their first semester. Incoming students do not need to be proficient with these tools prior to the start of classes, however, having some prior experience will be helpful. 

Software Installation 

Students should have the following software ready to use on their personal computers before the first day of class:

• Microsoft Excel (access at https://terpware.umd.edu/Windows/Title/3107)  

• R (access/download at https://cran.r-project.org/) 

   

Required Summer Pre-Skills Assignment for BUMK 726: Statistical Programming for Customer Analytics with Professor Choi   

MS in Marketing Analytics students enrolled in BUMK 726 should complete the asynchronous "Data Analysis for Decision Making" course by Sunday, August 16, then submit their course certificate via the BUMK 726 Canvas page. To earn a certificate, students must complete the final exam with a score of 80% or higher. The exam is designed to be a learning opportunity, so students can retake the exam as many times as needed. 

• Course: Data Analysis For Decision Making
• Cost: $75 per student
• Registration: https://umd-smith-execed.catalog.instructure.com/courses/msma-dadm

Questions about accessing the course can be directed to Leean Thomas (lthoma15@umd.edu). Questions about the BUMK 726 pre-skills assignment as it relates to course content can be directed to Professor Jason Choi (wjchoi@umd.edu). 

Additional Optional Assignments and Reading

Incoming students do not need to be proficient with all of these tools prior to the start of classes, however, having some prior experience could help them learn more effectively.

• Business Writing and Communications
  • LinkedIn Learning Course: Ten Habits of Effective Communicators 
  • LinkedIn Learning Course: Tips for Better Business Writing
  • LinkedIn Learning Course: Communication within Teams 
  • LinkedIn Learning Course: Speaking Confidently and Effectively 
• Tableau
  Access/download at https://www.tableau.com/academic/students; free for academic use when using @umd.edu email address
  • LinkedIn Learning Course: Tableau Essential Training
• Power BI
  • LinkedIn Learning Course: Power BI Essential Training
• Python 
  Access/download at https://www.anaconda.com/download (also available on vSmith at https://go.umd.edu/vsmith-setup) 
  • LinkedIn Learning Course: Python Quick Start 
  • LinkedIn Learning Course: Python Statistics Essential Training 
  • LinkedIn Learning Course: Advanced Python
  • Books
    • Python for Data Analytics: A Business-Oriented Approach (by Daniel H. Groner) 
    • Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter, 3rd Edition (by Wes McKinney)
• SQL
  Access at http://vsmith.umd.edu
  • LinkedIn Learning Course: SQL Essential Training 
  • LinkedIn Learning Learning Path: Master SQL for Data Science
• R & R Studio 
  Access/download at https://www.rstudio.com/ 
  • LinkedIn Learning Learning Path: Getting Started with R for Data Science

Wednesday, May 27, 2026

Failure to register within one week of receiving instructions may result in the termination of admission to the program. Please review all of the information on this page.

HOW TO REGISTER

Directory ID and password must be set BEFORE registration; see Directions for Setting Up Directory ID and Password.

Step 1: Go to Testudo (Office of the Registrar website)

http://www.testudo.umd.edu/
Click on: Registration (Drop/Add)
Enter Directory ID and Password
Select: Fall 2026

Step 2: Enter Registration Information

Testudo will not allow students to register for courses individually. All first year students should register for track MB11 and enter the following information in the "Registration (Drop/Add)" screen of Testudo.

Track MB11:

Click "Submit Changes" to complete registration.

Step 3: Confirm Courses

Click "View Schedule" to confirm registration based on the schedule listed below.

COURSE SCHEDULE

The course schedule for the Fall 2026 track is below. Courses are completed in 7-week sessions referred to as "terms". Term A meets from August through October, and Term B meets from October through December; for specific dates, review the Academic Calendar. Registration is set up for a 3-semester program completion (in December 2027). To accelerate and complete the program in 2 semesters (in May 2027), contact Leean Thomas at lthoma15@umd.edu for additional registration guidance.

Track MB11 includes:

Please direct questions to Leean Thomas. For general registration information, see the Registration FAQ.

The schedule is subject to change.

Tuition & Fee information, including due dates and residency information can be found at:

MS Tuition & Fees