MS in Business Analytics
Curriculum

Designed with

your goals in mind.

Simon’s MS in Business Analytics curriculum was carefully designed to ensure that every student graduates with a strong foundation in analytics and a comprehensive business education. Our curriculum covers statistics, analytics, and core business areas so that you can build a solid platform for a successful career and lifetime of learning.

 

 

Choosing between internship and non-internship tracks.

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.

Choosing between internship and non-internship tracks.

Full-Time MS in Business Analytics students can choose between internship and non-internship tracks to accommodate differing 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.

Students are encouraged to consider the value that internships offer. Hands-on experience in the workplace is a great way to gain a competitive edge. While valuable, an internship is not required and it is important to note that we can’t guarantee placement. Talk with the Admissions Office about which track is right for you, and get more information on the Full-Time MS in Business Analytics program in our course catalog.


Program Requirements

Students will work with their academic advisor to select elective courses that align with their career goals.

Click on a card for a brief course description.

CIS 432 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.

CIS 434 Social Media & Text Analytics

This course draws on a unique blend of social media strategies and the rapidly evolving information technologies supporting these strategies.

CIS 465 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.

CIS 467 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.

CIS 468 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.

GBA 424 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.

GBA 462R 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.

GBA 463 Economics & Marketing Strategy for MS Students

This course introduces students to the basics of economics and marketing strategy through interactive lectures and case discussions.

GBA 464 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.

MKT 436 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.

MGC 461 Professional Communications

This course establishes the rhetorical principles of logic and persuasion and the interactional approach to communication in groups and professional relationships.

Choose 3 electives.

Click on a card for a description of that course.

ACC 439 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.

CIS 442F Big Data

This class offers an overview of big data concepts, environments, processes, and tools from the perspective of data analysts and data scientists.

FIN 430 Risk Management

This course focuses on analysis of the mutual fund, investment banking, commercial banking, and insurance industries.

GBA 466 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.

OMG 402 Operations Management

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.

OMG 411 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.

MKT 414 Pricing Policies

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.

MKT 440 Pricing Analytics

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.

Simon’s MS in Accountancy program is STEM designated.

The program of study for the MS in Accountancy degree is a lock-step program that meets all the requirements for a STEM-designated program. The STEM (Science, Technology, Engineering, Mathematics) designation signals analytical rigor to employers and also offers international students the opportunity to extend their Optional Practical Training (OPT) by 24 months—for up to three full years of US work eligibility without and H-1B visa.

Get more information on the MS in Business Analytics curriculum by downloading the course catalog.