Data Science: Marketing and Supply Chain Analytics

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Bachelor of Science in Data Science: Marketing and Supply Chain Analytics Concentration

Top 5 Reasons to Study

Gain the knowledge, skills, and confidence to excel in marketing and supply chain roles, and help organizations use data to plan advertising campaigns, analyze social media content, design products, optimize logistics, and compete in digital markets.

Learn to capture and structure marketing and operational data from social media platforms, online customer interactions, advertising channels, e-commerce transactions, and supply chain sensors.

Learn to extract strategic insights from marketing and supply chain data to understand customer preferences, optimize advertising, predict demand, identify market trends, streamline logistics, and reveal patterns for a competitive advantage.

Build intelligent analytics systems that enhance marketing and supply chain efficiency through customer segmentation, recommendation engines, demand forecasting, inventory optimization, and AI-driven solutions that improve decision-making.

Gain the ability to personalize customer experiences, maximize campaigns' return on investment, accelerate product innovation, reduce operational costs, optimize inventory levels, and deliver products efficiently through complex global networks.

Core
Skills

Analyze consumer behavior and market trends to optimize marketing strategies and supply chain operations.
Design data driven advertising campaigns and innovative product solutions to enhance customer engagement.
Improve supply chain efficiency and marketing performance through AI, predictive analytics, and data insights.

Sample
Jobs

Supply Chain Analyst
Sales and Operations Planning Specialist
Marketing Analytics Specialist
Digital Marketing Professional
Marketing Automation and AI Specialist

Successful Career Outcomes

$103,500 Median Annual Salary

35% 10 Year Growth Expected

Top
Employment
Industries

Marketing and Advertising: Planning campaigns and optimizing advertising spend
Logistics and Supply Chain: Streamlining global logistics and optimizing inventory
Product Design and Manufacturing: Designing products based on data and enhancing production efficiency
E-commerce: Analyzing online customer interactions and transactions
Digital-First Markets: Competing in modern digital marketplaces through demand forecasting

Brag
Points

Study with the best: data science majors at MSU have a median ACT score of 29
Our students have access to Ptolemy, a 64 GPU NVDIA system dedicated to academic use
38% of our Data Science students participate in the Shackouls Honors College

Experiential Learning Opportunities

You will gain skills and expertise in a range of analytic modeling techniques and tools, and you will apply these skills to meaningful projects, with potential opportunities for independent research and for experiential learning projects with local companies.

Maroon & White Supply Chain: A student-led organization that connects you with logistics industry professionals and offers insights into real-world supply chain challenges.

The Message Laboratory: Housed within the Social Science Research Center, this lab often employs our undergraduates to analyze data related to communication campaigns, audience segmentation, and media effects.

Center for Entrepreneurship and Outreach (E-Center): Use their "Factory" makerspace or join their venture planning programs to apply business data strategies to real startup ideas.

Data Science Academic Institute: As an undergraduate researcher, you can work on faculty projects in diverse subject areas, often involving business or administrative data.

You'll take five hands-on labs that use real data. This builds career-relevant experiential learning directly into your coursework.