MBA Quantitative Skills Course
MBA Quantitative Skills course is a new resource available to admitted students to help you prepare for the math and statistics aspects of your upcoming MBA program. Designed by Berkeley Haas and UCLA Anderson School of Business in consultation with current MBA students and faculty, the class will provide you with instruction on the mathematical and quantitative principles directly applicable to your upcoming MBA coursework.
This is a recommended, but not required resource to refresh yourself on the quantitative skills you’ll be using here at Haas. If you’re currently taking or have taken Math for Management through UC Berkeley Extension, there’s no need to take this additional course. For those who have not, we recommend logging into the course and reviewing the modules to brush up on the skills you haven’t had the opportunity to use recently.
Click here to view frequently asked questions about the MBA Quantitative Skills Course. If you don’t see your answer here, please contact:
For technical questions: Haas Digital Support with the subject “CANVAS – MBA Quantitative Skills Readiness Course”
For academic/content questions: The course instructor, David Ravtech
For other questions: The admissions office at [email protected]
To register for this course, please visit the admit tab of your application portal.
EWMBA Data & Decisions: Pre-term Workshop
Your success in Data & Decisions (Fall B) is important. To prepare you for the quiz covering chapters 1-12 of the textbook on Day 1 of Data & Decisions, we have designed a virtual workshop to help you evaluate your prerequisite knowledge of statistics and probability. You will be automatically enrolled in July. Please watch your email for an invitation from “bCourses”, UC Berkeley’s learning management system.
Whether you have a strong quantitative background or already know that you could benefit from some additional work on these topics, we highly recommend that you access the workshop, watch the videos and review the materials. This will help you identify which concepts in chapters 1-12 you have already mastered and where you may need additional practice.
A Graduate Student Instructor will be monitoring the bCourses site regularly and answering your questions in between the live sessions.
Professional Lecturer Veselina Dinova will lead 3 1-hour live online sessions in July, September and October to illustrate these concepts in greater detail and walk students through examples and exercises.
Live online sessions with Professional Lecturer Veselina Dinova:
Wednesday, July 12 from 5:30-7:00 PM
Sunday, September 17 from 4:00-5:30 PM
Sunday, October 1 from 4:00-5:30 PM
You may also wish to review a previous year’s weekend syllabus or evening syllabus (please note that this is meant to serve only as a reference).
Please note that there are no grades or units associated with this pre-term workshop.
There will be a quiz covering chapters 1-12 of the required Stine and Foster textbook on the first day of Data & Decisions.
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