Program Overview
Program Details
Degree
Certificate
School
School of Business
Department
School of Business Graduate Program
Available
On Campus & Online
Program Description
The Marketing Analytics concentration provides students with an understanding of the tools and techniques that can help interpret customer review and capitalize on social media interactions to create, plan, and support effective marketing campaigns in any business.
Courses
- BIA 672 Marketing Analytics: This course teaches marketing analytics techniques such as segmentation, positioning, and forecasting, which form the cornerstone of marketing strategy in the industry. Students will work on cases and data from real companies, analyze the data, and learn to present their conclusions and make strategic recommendations.
- Choose 3 out of the following courses:
- BIA 652 Multivariate Data Analysis I: This course introduces basic methods underlying multivariate analysis through computer applications using R. Students will master multivariate analysis techniques, including principal components analysis, factor analysis, structural equation modeling, multidimensional scaling, correspondence analysis, cluster analysis, multivariate analysis of variance, discriminant function analysis, logistic regression, as well as other methods used for dimension reduction, pattern recognition, classification, and forecasting.
- BIA 658 Social Network Analysis: This course examines situations in which the main interest is in dependent relations among cases. Examples of “cases” include individuals, groups, organizations, etc.; examples of “relations” linking the cases include communication, advice, trust, alliance, collaboration, etc. Application areas include social media analytics, information and technology diffusion, organization dynamics.
- BIA 660 Web Mining: In this course, students will learn through hands-on experience how to extract data from the web and analyze web-scale data using distributed computing. Students will learn different analysis methods that are widely used across the range of internet companies, from start-ups to online giants like Amazon or Google.
- MIS 637 Data Analytics and Machine Learning: This course will focus on Data Mining & Knowledge Discovery Algorithms and their applications in solving real-world business and operation problems. The course will begin with an introduction to Data Mining and Knowledge Discovery in Databases. Methodological and practical aspects of knowledge discovery algorithms including: Data Preprocessing, k-Nearest Neighborhood algorithm, Machine Learning and Decision Trees, Artificial Neural Networks, Clustering, and Algorithm Evaluation Techniques will be covered.
Additional Information
If desired, the above courses can be applied toward a full graduate degree from the School of Business, such as the master's in Business Intelligence & Analytics or the MBA.
Stevens Institute of Technology
Overview:
Stevens Institute of Technology is a student-centric research university with a strong focus on technology. Located in Hoboken, New Jersey, Stevens offers a range of undergraduate and graduate programs across diverse fields, including technology, finance, medicine, energy, engineering, art, and music.
Services Offered:
Stevens provides a comprehensive range of services to its students, including:
Academic Resources:
Access to libraries, tutoring services, and academic advising.Student Support:
Counseling and psychological services, student health services, and disability services.Career Development:
Career center resources, internship opportunities, and job placement assistance.Student Life:
A vibrant campus experience with clubs, organizations, athletics, arts, and cultural events.Housing:
On-campus housing options for students.Student Life and Campus Experience:
Stevens offers a dynamic campus experience with a strong sense of community. Students can participate in a variety of clubs, organizations, and athletic teams. The campus is located across the river from New York City, providing easy access to the city's cultural and entertainment offerings.
Key Reasons to Study There:
Innovation and Technology Focus:
Stevens is known for its emphasis on innovation and technology, preparing students for careers in cutting-edge fields.Industry Connections:
Strong industry partnerships and internship opportunities provide students with valuable real-world experience.Location:
The campus's proximity to New York City offers students access to a wide range of career opportunities and cultural experiences.Return on Investment:
Stevens consistently ranks high in return on investment rankings, indicating the value of its education.Academic Programs:
Stevens offers a wide range of academic programs, including:
Undergraduate Study:
35 undergraduate majors across various disciplines.Graduate Study:
58 master's degree programs and 20 Ph.D. programs.Stevens Online:
Online degree programs for working professionals.Corporate Education:
Programs designed for professionals seeking to advance their careers.Other:
Stevens is committed to diversity, equity, and inclusion, and has a strong focus on sustainability. The university also has a rich history and a strong alumni network.
