With the MS in Business Analytics curriculu, you will gain knowledge of both the theory and practice of business analytics as our curriculum provides you with the skills and knowledge to:
Understand business challenges and priorities, and learn to address such challenges using the appropriate data and suitable econometric analytical tools.
Identify the data needed to evaluate potential opportunities to leverage analytically driven decision making to increase the value of the firm.
一道本不卡免费高清Understand the challenge of privacy protection of customers, and the balance between privacy protection and personalization of business offerings
Learn foundational techniques and tools required for business analytics and data science, covering mathematics, statistics, software.
Select and apply appropriate analytical techniques, models, and frameworks to business decisions; and be able to summarize and analyze quantitative information using statistics and data visualization
Write clear, well-documented, and effective memoranda and reports; prepare and deliver professional-quality presentations; work effectively on a project in a team
一道本不卡免费高清To complete the program, you must complete at least 48 units, spread over 36 units of required (core) units as well as a minimum of 12 units of elective credits. †
The Business Analytics degree includes four core topics: Business Foundations, Statistics and Optimization, Business Analytics,
Business Foundations (required)
一道本不卡免费高清Principles of Marketing
|Principles of Finance||Analytics of Finance|
Microeconomics for Business Decision with Econometric Applications
|Analytics of Optimal Pricing & New Product Decisions|
|Statistics and Optimization (required)||Marketing Analytics II|
|Math for Finance & Analytics||Social Network Analytics|
|Business Analytics (required)||Automated Software Build & Release Systems|
|Econometrics||Big Data Modeling & Analytics|
|Marketing Analytics||Data Visualization|
|Business Analytics Practicum/Capstone||Mobile Payment & Blockchain|
|Technology (all required):||Deep Learning|
|Database Management Systems - Fundamentals||Database Management Systems - Design, Development & Administration|
|Data Analytics (with Python)|
†Note: Courses are subject to change and availability in a given quarter is not guaranteed.