Online Foundations in Business Analytics Certificate
Data science and analytics continue to redefine the business world, and their impact on the job market shows no signs of slowing down. It is estimated there will be 2.72 million data analytics jobs in the U.S. by 2020, all of which require a refined set of programming and quantitative skills.1
The Online Foundations in Business Analytics Certificate from William & Mary combines the prestige of a “Public Ivy” business education with the agility of a short-term, targeted professional skills-development program. In just five courses that can be completed in little more than one semester, you will learn key business analytics tools and skills that can help launch you into analytics-driven roles or provide your point of entry into the Online Master of Science in Business Analytics program.
A Foundation for Business Analytics Success
Our Online MS in Business Analytics program is designed around four content pillars that we have identified as essential to success in the field—business acumen, math modeling, computing technologies and communicating with impact. The five business analytics courses that make up this certificate provide the foundations to these pillars, skills in each area upon which deeper expertise can be built.
Both the “Probability and Statistics” and “Linear Algebra for Business Analytics” courses provide essential background knowledge for the complex mathematical modeling that analytics roles demand. The certificate’s two programming courses—in R and Python—build your knowledge in the two most essential languages to contemporary analytics computing technologies. Finally, the program’s culminating course, “Competing Through Business Analytics,” ties these skills together with business acumen and communicational fluency, preparing you to apply business analytics tools in any organization.
And when you complete your coursework for this certificate program, it could be just the beginning of your analytics education. The five courses of the business analytics certificate program comprise the prerequisites and first required course of the Online MSBA program. Students who complete the Foundations in Business Analytics Certificate program in good standing are invited to apply to the Online Master of Science in Business Analytics (MSBA) program with no additional application requirements, and all credits from the certificate may be applied toward completion of the MSBA.
Learn In-Demand Business Analytics Tools
Online Foundations in Business Analytics Courses Overview
BUAD 512A Probability and Statistics with R (4 credits)
BUAD 512B R Business Modeling with Python (4 credits)
BUAD 5112 Competing Through Business Analytics (4 credits)
Foundations in Business Analytics Certificate at a Glance
- Complete in just over one semester
- 100% online
- No residency or on-campus requirement
- Multiple opportunities to start per year
- Study with our faculty of industry experts
- Completion in good standing can fulfill admissions requirements for the Online MSBA program
- All credits can be applied to Online MSBA
Application Requirements for the Online Foundations in Business Analytics Certificate
The Online Foundations in Business Analytics Certificate is designed to be an opportunity for anyone interested in pursuing an analytics career, at any professional level, to move into this dynamic field. To promote this level of accessibility, the application requirements for the program are as follows:
- A bachelor’s degree (or equivalent) from a regionally accredited college or university
- One short essay
- Essay topic: Please explain what has led you to pursue the Foundations in Business Analytics Certificate. How do you plan to apply the certificate to your career goals?
We want to ensure you can take advantage of this opportunity to transition into a rewarding new analytics career. Feel free to schedule a call with an Admissions Advisor if you have any questions about the Online Foundations in Business Analytics Certificate, or about using it to transition into the Online MSBA program.
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1. Retrieved on September 27, 2019, from medium.com/@data_driven/python-vs-r-for-data-science-and-the-winner-is-3ebb1a968197
2. Retrieved on September 27, 2019, from techrepublic.com/article/top-5-tech-skills-data-scientists-need-and-how-to-learn-them/