Speaking of Business Analytics (BA) programs, many students are curious but not fully informed, and it's easy to confuse some of the content. CheersYou(清柚教育) has compiled some information on BA programs. If you're interested, keep reading~
I. What is Business Analytics?
It uses data and statistical tools and techniques to solve real-world business problems. For example: identifying data patterns and making predictions to analyze products; discovering anomalies in massive data to avoid credit fraud; identifying relationships between key data variables to analyze and predict potential customers, etc.
II. Data Analysis Stages and Basic Process
Data Analysis:
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Basic Process:
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III. Details on U.S. Business Analytics Programs
Business Analytics, abbreviated as BA, is an emerging discipline that uses data and computer models to optimize decision-making, reduce business risks, and enhance business value. The program requires applicants to have quantitative study experience at the undergraduate level, along with a business foundation and strong English communication skills. Currently, about 130 schools in the U.S. offer Business Analytics or similar programs, with program lengths typically around 1 to 1.5 years. Many BA programs are included in STEM-designated lists, so students seeking to work in the U.S. often choose to pursue a master's in Business Analytics to obtain a 3-year OPT period.
Generally, programs are named Business Analytics, and some may offer specializations such as Analytics, Data Analytics, Applied Analytics, Customer Analytics, Predictive Analytics, etc.
Typically, Business Analytics programs are housed in business schools, but some universities place them in engineering or information schools. For example, Duke University, Johns Hopkins University, and the University of Southern California offer BA in engineering schools, while Northwestern University places it in the information school. Placing programs in engineering or information schools means these institutions have higher requirements for applicants' math and computer science backgrounds.
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IV. Career Prospects in Analytics
By career direction: Tech/Finance/Consulting/Marketing/Media
- Tech: FLAG/startups: Fintech is more common in California, primarily involving loan applications; website maintenance, user browsing data for hidden insights, etc.
- Finance: Front office model tester or back office risk control; Investment Banking; Hedge Fund
- Consulting: Strategy Analyst, solving problems across industries, focusing on problem-solving skills and delivering results to clients
- Marketing: Dell-CRM Marketing Analyst; Taobao user profiling and data analysis
- Media: Hulu/YouTube
By data software used:
- Tableau: Data Visualization — Financial Analyst
- SQL: Data query/preparation — Data Analyst
- R: Data modeling and prediction — Data Analyst/Data Scientist
V. Key Considerations When Choosing a BA Master's Program
Students aspiring to work in business analytics don't need to fixate solely on Business Analytics programs. Various analytics programs differ only slightly in curriculum emphasis and perspective, so applying to related majors won't hinder future career plans.
When choosing schools, focus on the curriculum and the school where the program is housed according to the official description, and match projects that align with your previous study experience. If the program is in an engineering or information school, it indicates the need for a solid foundation in math and computer science. If it's in a business school, a strong grounding in business theory is required.
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VI. BA Curriculum
Depending on the school's academic calendar, programs are divided into Semester and Quarter systems. Quarter-based programs typically have a larger total number of courses. They include 1-2 leadership/project management courses and 7-8 core data analysis-related courses, totaling around 12-16 courses.
Foundation Courses (may be prerequisites)
Statistics: Combines programming languages such as Python, R, SAS, etc., with difficulty beyond undergraduate level
Programming: Offered for students with insufficient background
Core Data Analysis Courses
Data Infrastructure/Database Management
Data Mining
Machine Learning
Optimization
Business Application Courses
In addition to the main foundational and specialized data courses, the BA core curriculum also includes a certain proportion of business application courses designed to apply the developed data processing and analysis skills to solve business problems.
Typical Curriculum Examples:
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Columbia University Applied Analytics Program Curriculum:
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USC Business Analytics Program Curriculum:
https://www.marshall.usc.edu/programs/graduate-programs/specialized-masters/ms-business-analytics
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CheersYou(清柚教育) has helped students secure offers from the above programs. To learn about specific student backgrounds (major, GPA, GRE, etc.), you can add a CheersYou(清柚教育) advisor for consultation~
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