MS in Marketing Analytics
Curriculum

Designed with

your goals in mind.

Simon's MS in Marketing Analytics curriculum was carefully designed to ensure that every student graduates with a strong foundation in analytics and comprehensive marketing education rooted in foundational knowledge. You'll gain statistical and analytical skills, and strategies that will make you the go-to person for evidence-based insights and answers.

 

 

 

Choosing between internship and non-internship tracks.

Full-Time MS in Finance 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 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 Finance 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.

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 Finance program in our course catalog.


Program Requirements

Students will work with an academic advisor to meet the MS in Marketing Analytics degree requirements and select elective courses that align with their career goals.

Click on a card for a brief course description. (Note: this chart is subject to change).

CIS 467

Data Management, Warehousing & Visualization

CIS 467

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

CIS 468

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

GBA 424

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

GBA 462R

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

GBA 463

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

GBA 464

Programming for Analytics

GBA 464

This course provides a foundation in programming within the R environment. Traditional concepts are taught in context of marketing and business analytics.

MGC 461

Professional Communications

MGC 461

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

MKT 414

Pricing Policies

MKT 414

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 436

Predictive & Causal Analytics in R

MKT 436

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.

MKT 465

Marketing Analytics Project

MKT 465

Capstone experience for the MS Marketing Analytics program. Partnering with corporate sponsors, teams engage in database projects addressing practical marketing issues.

Choose 4 electives.

Click on a card for a description of that course.

CIS 432

Advanced Predictive Analytics with Python

CIS 432

This course is geared towards training informed practitioners of analytics methods that can construct, evaluate, and apply analytics models in variety of settings using modern tools.

CIS 434

Social Media & Text Analytics

CIS 434

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

MKT 431

Consumer Behavior

MKT 431

The course studies buyer behavior in consumer and industrial markets. Topics include: culture, social class, consumer involvement, motivation, knowledge, attitudes and group decision making.

MKT 433

Advertising Strategy

MKT 433

This course explores the tools available to marketers for the promotion of products and services. Groups develop an advertising strategy for a product in a competitive category.

MKT 437

Digital Marketing Strategy

MKT 437

This course examines the major issues involved in marketing on the Internet, including: new product opportunities, the changed role of advertising, and much more.

MKT 439

Advanced Pricing

MKT 439

This course equips students with the necessary skills to make profitable pricing decisions in complex business environments.

MKT 440

Pricing Analytics

MKT 440

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.

MKT 451

Consumer & Brand Research

MKT 451

This course focuses on key marketing research topics related to consumer and brand measurement and the analysis of this information to generate insights.

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 Marketing Analytics curriculum by downloading the course catalog.