Master of Science in Applied Data Intelligence

Immerse yourself in the cutting edge of data intelligence, data engineering, and artificial intelligence. In today’s organizations, data and AI are strategic assets embedded across functions, and the MSADI program prepares graduates for careers in a wide range of industries, including roles such as AI engineer, AI software engineer, AI research associate, agentic AI engineer, generative AI engineer, and AI data engineer.

Students build portfolios of applied data science projects by leveraging the interrelationship between domain knowledge and AI technologies. Students advance their knowledge and skills through:

• Identifying domain specific problems, defining requirements, and establishing measurable organizational objectives.
• Exploring, preparing, visualizing, and governing data with reproducible practices.
• Bringing together data engineering and computational foundations with ML, deep learning, generative AI (LLMs), agentic and embodied AI, and distributed systems to deliver reliable, real-world descriptive, diagnostic, predictive, and prescriptive systems.
• Developing, validating, deploying, and monitoring AI systems to meet requirements and objectives responsibly.

The department launched the MS in Data Analytics program in August 2018 and updated the name to MS in Applied Data Intelligence in 2025 to reflect the evolution of the curriculum toward modern AI, generative AI, and applied data-intelligence practice.

The MSADI program provides students with the advanced education needed to design and deploy modern applied data science and AI solutions. Students learn to process and analyze data from multiple sources, build scalable data pipelines, extract actionable insights, and develop full-stack solutions enhanced by generative AI and agentic AI technologies.

By integrating data engineering, applied data science, analytics, and AI-driven system design, the program prepares students to solve complex problems from end to end. This includes using generative AI to support intelligent content generation and decision-making, and applying agentic AI approaches to build systems that can plan, act, and collaborate autonomously in production workflows.

Program Snapshot

Program Overview

The MSADI program prepares students for careers in data-driven problem-solving through a comprehensive, industry-aligned curriculum. The program emphasizes:

• Processing and analyzing data from multiple sources.
• Building scalable data pipelines and cloud-based AI solutions.
• Developing machine learning, deep learning, generative AI, and agentic AI applications.
• Applying generative AI for intelligent content generation, summarization, and decision support.
• Designing agentic AI systems for workflow automation, reasoning, and task orchestration.
• Extracting actionable insights to drive business, research, and operational innovation.
• Creating full-stack solutions for real-world data and AI challenges.

Industry-Relevant Curriculum

Students gain expertise in the entire data intelligence lifecycle, from defining business problems to implementing advanced AI solutions. The curriculum covers:

• Machine Learning, Deep Learning, and Generative AI
• Data Engineering and Big Data Technologies
• Data Intelligence, Natural Language Processing, and Predictive Analytics

Project-Based Learning

Hands-on learning is a core part of the MSADI experience. Students work on:

• Collaborative projects with Silicon Valley companies.
• Capstone experiences that integrate data science, AI and cloud computing.
• Real-world case studies that prepare students for industry challenges.

Graduates are well-equipped to develop and implement analytics solutions tailored to industry needs. The program’s strong emphasis on problem-solving skills prepares students for technical roles.

Career Opportunities

The demand for data science and AI talent continues to grow rapidly. According to the U.S. Bureau of Labor Statistics, employment of data scientists is projected to grow 34% from 2024 to 2034, much faster than the average for all occupations. The World Economic Forum reports that AI and machine learning specialists and big data specialists are among the fastest-growing job categories globally, reflecting the expanding impact of AI, generative AI, and intelligent automation across industries.  

Graduates of this program pursue roles such as:

• AI Engineer
• AI Application Engineer
• Agentic AI Engineer
• Generative AI Engineer
• Data-AI Engineer
• Machine Learning Engineer
• Deep Learning Engineer
• NLP Engineer
• MLOps Engineer
• Data Scientist
• Data Engineer
• Business Intelligence Analyst
• Data Analyst
• Applied AI Engineer
• AI Solutions Engineer
• Software Engineer
• Intelligent Systems Engineer

Our students and alumni have been employed by more than 200 Silicon Valley companies for internships and permanent positions, including companies like: 3M, Accenture, Adobe, Airbnb, Alphabet, AMD, Amazon, Applied Materials, Autodesk, BlackRock, Capital One, Cisco, Cognizant, Coupang, El Camino Health, Hewlett-Packard, Electric Power Research Institute, Equinix, Ernst & Young, Esri, Experian, Glassdoor, GM Financial, IBM, Informatica, Intel, Intuit, John Deere, Juniper Networks, Lam Research, Lucid, Mercedes Benz, Meta Platforms, Micron, Microsoft, NetApp, Nokia, Nvidia, Palo Alto Networks, Panasonic, PayPal, Rackspace Technology, Roche, Roku, Salesforce, SAS, Seagate, Teradata, Tesla, Teladoc Health, TikTok, Uber, Udemy, Visa, VMWare, Walmart, Warner Brothers Entertainment, Waymo, World Bank, etc.  

Program Features

STEM-Designated Degree

This program is classified as a STEM (Science, Technology, Engineering and Mathematics) degree program and meets course requirements for F-1 visa holders.

Expert Faculty and Industry Mentors

Learn from industry experts and academic faculty who bring cutting-edge insights into the classroom and skills, bringing a mix of academic excellence and practical expertise.