The MS in Marketing Analytics is designed to equip students with the skills to influence marketing decisions through the power of data. The program covers a range of topics that equip students with the skills to analyze data and inform marketing strategies. Key areas include customer segmentation, predictive analytics, pricing strategies and campaign performance analysis. Students learn to measure key performance indicators (KPIs), conduct A/B testing and use data visualization to communicate insights. The program also covers consumer behavior analysis, demand forecasting and big data applications, along with specialized areas like programmatic advertising, social media analytics and sentiment analysis. These topics help students develop the ability to make data-driven decisions, enhance customer engagement and optimize marketing effectiveness. Students will learn to leverage data for strategic decision-making, understand customer behavior and optimize marketing effectiveness. A key component of the program is teaching students how to craft compelling narratives from data. Emphasizing quantitative data analysis, customer insights and analytics-driven strategies, the program prepares graduates to make informed, data-driven decisions and offer strategic insights that shape business outcomes.
Students specializing in marketing analytics will become valuable assets to organizations, using data to uncover new opportunities, refine marketing strategies, and drive business success. Their expertise enables companies to stay competitive and adapt to the ever-evolving marketplace.
Career paths in marketing analytics are both varied and impactful. Graduates can pursue roles as Marketing Analysts, where they analyze data to inform marketing strategies, ensuring they are data-driven and effective. Students will be prepared for roles in marketing intelligence, pricing analysis, consumer behavior, advertising, social media marketing, digital marketing and more.
This ten-month program offers comprehensive coursework and practical application, preparing students for diverse job opportunities. In addition to academic learning, students will participate in four enrichment seminars focused on teamwork, leadership, ethics and corporate social responsibility. These seminars reflect our commitment to holistic student development, blending professional growth with academic excellence.
Requirements
Required Courses and Credits
Code | Title | Credit Hours |
---|---|---|
MSBC 5070 | Survey of Business Analytics | 3 |
MSBX 5410 | Fundamentals of Data Analytics | 3 |
MSBX 5415 | Advanced Data Analytics | 3 |
MSBX 5405 | Structured Data Modeling and Analysis | 3 |
MSBC 5180 | Machine Learning in Python | 3 |
MSBX 5420 | Unstructured and Distributed Data Modeling and Analysis | 3 |
MSBC 5190 | Modern Artificial Intelligence: Introduction to AI for Business | 3 |
MSBC 5490 | BUAN Experiential Projects | 3 |
MSBX 5310 | Customer Analytics | 3 |
MSBX 5320 | Digital Advertising | 3 |
MBAX 6330 | Market Intelligence | 3 |
Plan(s) of Study
Year One | ||
---|---|---|
Summer Review | Credit Hours | |
Summer B Session | ||
MSBC 5070 | Survey of Business Analytics | 3 |
MSBX 5410 | Fundamentals of Data Analytics | 3 |
Credit Hours | 6 | |
Fall Semester | ||
MSBX 5415 | Advanced Data Analytics | 3 |
MSBX 5405 | Structured Data Modeling and Analysis | 3 |
MSBC 5180 | Machine Learning in Python | 3 |
MBAX 6330 | Market Intelligence | 3 |
Credit Hours | 12 | |
Spring Semester | ||
MSBC 5190 | Modern Artificial Intelligence: Introduction to AI for Business | 3 |
MSBC 5490 | BUAN Experiential Projects | 3 |
MSBX 5420 | Unstructured and Distributed Data Modeling and Analysis | 3 |
MSBX 5310 | Customer Analytics | 3 |
MSBX 5320 | Digital Advertising | 3 |
Credit Hours | 15 | |
Total Credit Hours | 33 |
Learning Outcomes
By the completion of the program, students will be able to:
- Demonstrate technical expertise in marketing analytics.
- Apply managerial and organizational frameworks in marketing.
- Successfully engage in critical thinking and communication of insights from marketing analytics.
- Demonstrate an understanding of the ethical responsibilities of business leaders.
- Productively participate in teamwork and collaboration.