View Recording of June 27, 2025 MSBA Academic Pre-skills Student Chat with Academic Director
Students join the Smith School with a variety of technical skills and educational and professional backgrounds. In the MS in Business Analytics program, students will use Python, R, SQL, and Tableau 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. The resources below have been compiled to assist incoming students with preparing for their master's coursework.
UMD students have unlimited access to LinkedIn Learning, an online library of instructional videos covering the latest software, creative, and business skills.
MS in Business Analytics students must 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)
- Python (access/download at https://www.anaconda.com/download)
- R & R Studio (access/download at https://www.rstudio.com/)
- Tableau (access/download at https://www.tableau.com/academic/students; free for academic use when using @umd.edu email address)
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.
MS in Business Analytics students will also be utilizing the following software in their first fall:
- Lumivero (formerly Palisades) Decision Tools Suite (including AMPL and @Risk; access at http://vsmith.umd.edu; can be downloaded to a Windows-compatible personal computer with code from instructor)
- SQL (access at http://vsmith.umd.edu)
Required Pre-Semester In-Person Workshop
There will be an in-person workshop offered for BUDT 730: Data Models and Decisions with Professor Sujin Kim. This workshop will provide a good foundation for success in this course. This workshop is required and provided at no cost during New Student Orientation.
Required Pre-Semester Asynchronous Courses
First semester courses will focus on analytical principles to guide complex decision-making. A strong understanding of basic business math, basis statistics, and spreadsheet skills will be critical to successfully completing the semester. Students who do not already have a strong familiarity with these topics should complete the following no later than August 17, 2025:
- LinkedIn Learning: Statistics Foundations 1: The Basics
- LinkedIn Learning: Statistics Foundations 2: Probability
- LinkedIn Learning: Excel Essential Training
Required Pre-Semester Online Synchronous Workshops
The Smith Master Student Association (SMSA), together with the Masters Programs Office, frequently hosts Academic Skill-Building Workshops for current students. There will be three sessions offered that are required for incoming MS in Business Analytics students who do not have prior experience with these topics.
Workshop 1: Introduction to Data Science with Python Workshop
Content includes:
-- Basic programming in Python
-- Reading different file formats in Python
-- Data Manipulation: Exploration and Cleaning NumPy and pandas
-- Data Visualization with seaborn
-- Saving different file formats in Python
Date: Sunday, August 3, 2025
Time: 9:00 a.m. - 12:00 noon
Registration URL: Coming Soon
Workshop 2: Introduction to Data Science with R Workshop
Content includes:
-- Basic programming in R
-- Reading different file formats in R
-- Data Manipulation: Exploration and Cleaning dplyr and tidyr
-- Data Visualization with ggplot
-- Saving different file formats in R
Date: Sunday, August 10
Time: 9:00 a.m. - 12:00 noon
Registration URL: Coming Soon
Workshop 3: Introduction to Structured Query Language (SQL)
Content will include:
-- Basic SQL concepts
-- How to access and manipulate data with SQL
Date: Sunday, August 17
Time: 9:00 a.m. - 12:00 noon
Registration URL: Coming Soon
Optional Asynchronous 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: Communication Foundations
- LinkedIn Learning Course: Own Your Voice: Improve Presentations and Executive Presence
- 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
- LinkedIn Learning Learning Path: Develop Your Tableau Skills
- Power BI
- Python
- SQL
- R & R Studio
- Smith School's Summer Reading List 2025