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The demand for people technically skilled in business analytics and data science is relentless as companies compete in a digital world. Our full-time, STEM-designated MSBA features an AI-assisted curriculum that incorporates Large Language Models (LLMs) in every facet of the Business Analytics process, from problem definition, to data cleaning, coding, analysis, and presentation. We will prepare you for a future where AI is an integral part of a business data scientist’s responsibilities, and equip you with the skills and knowledge to thrive in this rapidly evolving field.
With jobs in business analytics and data sciences growing 25 percent over the next five years, we’ll help you build a career that never stops advancing.
Full-time students can complete Rady's Master of Science in Business Analytics (MSBA) program in as little as 11 months.
Program overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The demand for people technically skilled in business analytics and data science is relentless as companies compete in a digital world. Our full-time, STEM-designated MSBA features an AI-assisted curriculum that incorporates Large Language Models (LLMs) in every facet of the Business Analytics process, from problem definition, to data cleaning, coding, analysis, and presentation. We will prepare you for a future where AI is an integral part of a business data scientist’s responsibilities, and equip you with the skills and knowledge to thrive in this rapidly evolving field.
With jobs in business analytics and data sciences growing 25 percent over the next five years, we’ll help you build a career that never stops advancing.
Full-time students can complete Rady's Master of Science in Business Analytics (MSBA) program in as little as 11 months.
Admission Requirements
65+
7+
Successful applicants to the Rady MSBA program will have either:
An undergraduate degree in a quantitative discipline such as mathematics, economics, statistics, physics, engineering, or computer science,
- or -
Relevant work experience, a strong quantitative foundation, a curiosity about data and how it can solve business problems, and familiarity with the use of quantitative information in the workplace.
Students with a non-quantitative undergraduate degree and less than five years of work experience will be considered on an exceptional basis if:
Their work experience is in the area of business analytics or marketing research
- or -
They have developed a strong quantitative background through additional coursework or relevant work experience.
Given the concentrated curriculum, the program prioritizes students who have a solid foundation in quantitative methods. Successful applicants will have completed college coursework in calculus and in either probability or statistics. Additionally, each student must demonstrate evidence of programming proficiency from prior college course work, professional experience, or a certificate from a continuing education program (e.g., a Coursera course on R-programming)
Additionally, each student must demonstrate evidence of programming proficiency from ONE OR MORE OF THE FOLLOWING: prior college coursework, professional experience, a continuing education program, Coursera, or EdX. If you are new to Python or R, we strongly recommend you also complete courses on programming in Python and R from Data Camp or Coursera.
15 Mar 2025
11 Months
Aug
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master of Science in Business Analytics (MSBA)
University of California, San Diego (UCSD), San Diego, United States
11 monthsProgram duration
15 Mar, 2025Application Deadline
Business AnalyticsMain Subject Area
Program overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
With jobs in business analytics and data sciences growing 25 percent over the next five years, we’ll help you build a career that never stops advancing.
Full-time students can complete Rady's Master of Science in Business Analytics (MSBA) program in as little as 11 months.
Program overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
With jobs in business analytics and data sciences growing 25 percent over the next five years, we’ll help you build a career that never stops advancing.
Full-time students can complete Rady's Master of Science in Business Analytics (MSBA) program in as little as 11 months.
Admission Requirements
- An undergraduate degree in a quantitative discipline such as mathematics, economics, statistics, physics, engineering, or computer science,
- or -- Relevant work experience, a strong quantitative foundation, a curiosity about data and how it can solve business problems, and familiarity with the use of quantitative information in the workplace.
Students with a non-quantitative undergraduate degree and less than five years of work experience will be considered on an exceptional basis if:- Their work experience is in the area of business analytics or marketing research
- or -Given the concentrated curriculum, the program prioritizes students who have a solid foundation in quantitative methods. Successful applicants will have completed college coursework in calculus and in either probability or statistics. Additionally, each student must demonstrate evidence of programming proficiency from prior college course work, professional experience, or a certificate from a continuing education program (e.g., a Coursera course on R-programming)
Additionally, each student must demonstrate evidence of programming proficiency from ONE OR MORE OF THE FOLLOWING: prior college coursework, professional experience, a continuing education program, Coursera, or EdX. If you are new to Python or R, we strongly recommend you also complete courses on programming in Python and R from Data Camp or Coursera.
Scholarships
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To help students navigate this challenging process, we recommend the following articles:
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