Simon Business School
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Full-Time MS in Business Analytics students can choose between internship and non-internship tracks to accommodate their goals. The non-internship track has a shorter timeline, but the benefits of the internship track are many, including a wealth of valuable real-world experience that can prepare you for career success and help differentiate you from other candidates during your job search. A majority of our students choose this path for the hands-on experience and career preparation it provides.
Advanced Predictive Analytics with Python
This course is geared toward training informed practitioners of analytics methods that can construct, evaluate, and apply analytics models in a variety of settings using modern tools.
Social Media & Text Analytics
This course draws on a unique blend of social media strategies and the rapidly evolving information technologies supporting these strategies.
Business Analytics Project
This course provides the opportunity to utilize the skills developed during the program to develop and execute a capstone project using real-world situations.
Data Management, Warehousing & Visualization
This course builds an understanding of system data design to enable analytics to meet an organization’s analytical needs and introduces a framework for data warehousing.
Spreadsheet Modeling using Excel for MS
This course expands students’ analytical toolkit through hands-on training in the effective use of spreadsheet-based tools for advanced managerial analysis.
Analytics Design & Applications
This course focuses on designing effective analytics that solve managerial problems. The course leverages software tools such as SQL, R, and Tableau.
Core Statistics for MS Students Using R
This course focuses on statistical skills and the language R, covering central tendency and variability, probability, distributions, standard scores, hypothesis testing, etc.
Economics & Marketing Strategy for MS Students
This course introduces students to the basics of economics and marketing strategy through interactive lectures and case discussions.
Programming for Analytics
This course provides a foundation in programming within the R environment. Traditional concepts are taught in the context of marketing and business analytics.
Predictive & Causal Analytics in R
This course will focus on what datasets, both big and small, can and cannot tell us. The tools and metrics of three kinds of data analysis will be covered: predictive, explanatory, and causal.
This course establishes the rhetorical principles of logic and persuasion and the interactional approach to communication in groups and professional relationships.
Accounting Analytics for Forensics
This course gives students skills surrounding fraud investigations. It delves into analytical methodologies and how Access and Excel can be used to provide evidence.
This class offers an overview of big data concepts, environments, processes, and tools from the perspective of data analysts and data scientists.
This course focuses on analysis of the mutual fund, investment banking, commercial banking, and insurance industries.
Intro to Accounting + Finance
This course presents the basics of financial accounting, provides a framework for analyzing financial data, and builds on concepts developed in the MSBA program.
The course develops a managerial perspective of the operations function and an appreciation of the role that operations plays in creating and maintaining a firm’s competitive edge.
Supply Chain Analytics
This course gives an overview of supply chain management in an array of industries. The impact of traditional channels vs. e-commerce will be emphasized.
This course helps future managers make good decisions by preparing them to analyze the environment in which their firm operates and to arrive at an appropriate pricing policy.
This course prepares students with the intuition and tools to make pricing recommendations, and to meet the booming demand in pricing and consulting related careers.
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