Drive Change with Data and AI
The Data Science & AI (DSAI) major equips students with advanced IT skills, preparing them for a rapidly evolving digital environment. Students first build a strong foundation in computer science, mathematics, and statistics before advancing to AI and digital-business applications. Core study areas include data structures and algorithms, system design, discrete mathematics, statistics, programming, machine learning, and deep learning — essential knowledge for modern data science and AI.
The advanced subjects cover natural language processing, generative AI, AI engineering, cybersecurity and quantum computing. Students apply these skills to challenges in digital marketing, business analytics, fintech, and digital business administration. Access to advanced facilities such as the TIU Human and Artificial Intelligence Laboratory on Kawagoe Campus provides hands-on experience with current AI and digital/neuro-marketing technologies. The major prepares graduates for careers as data scientists, data analysts, AI engineers, and digital-business specialists, as well as for further study in technical or professional master’s programs.
* Only first-year applicants may apply to the Data Science & AI (DSAI) major for 2026 Fall intake. TIU will accept transfer applicants for the DSAI major at a future intake to be decided.
Multi-Campus Program
E-Track is a multi-campus program that allows students to experience courses at our Kawagoe Campus and Ikebukuro Campus.
Click HERE for more information on course locations by major and the four-year study flow.
Words from Data Science & AI Faculty
Hirofumi Matsuo | Dean of E-track Program,
Professor of Operations Management
"I studied engineering at Kyoto University before joining MIT to pursue Management and Operations Research. MIT brings together exceptional students and faculty from around the world to create cutting-edge education and research. The curriculum was challenging but thoughtfully designed and excellently taught. Through hard work alongside classmates, I built lasting friendships and mastered the material, gaining professional confidence that has supported my entire career. TIU offers a similarly global learning environment, with a strong focus on the social sciences and emerging technologies. Join our top-notch students and faculty, and let us work together to advance your career and contribute to future society."
Yuichiro Kanazawa | Program Director of Data Science & AI,
Professor of Statistics
“As a PhD student at the Yale University Statistics Department, I encountered an incredibly challenging problem that required me to think outside the box. I struggled to find the solution, but after trying an approach I had not thought of before, I solved the problem and successfully completed my dissertation. Later in life, the problem reappeared in a new form as an econometrics problem; my experience as a PhD student helped me tackle it with courage and confidence. It is my hope that TIU E-Track students also grow in courage and confidence in the DSAI program.
The DSAI major empowers students to identify, collect, analyze, and interpret data, enabling them to evaluate information critically, support arguments with evidence, and quantify uncertainty. Studying statistics and data science builds strong analytical skills, supports sound data-based decision-making, and prepares students for success in an increasingly data-driven world. This fundamental knowledge opens doors to diverse career paths, including technology, advanced research, business, healthcare, legal, government, and more.”
Rafik Hamza | Associate Professor of Information Management and Cybersecurity
"Early in my career, I worked with sensitive medical and financial data, which showed me how powerful yet fragile digital systems can be. That perspective shapes my teaching at TIU. Through hands-on projects, students learn AI, data analysis, and security with the goal of building systems that are efficient, safe, fair, and respectful of privacy. In the DSAI program, practical labs and real-world projects deepen this understanding, covering privacy-preserving ML, secure data pipelines, and responsible AI deployment. We foster creativity and problem-solving, preparing graduates to build trustworthy technologies that protect individuals and strengthen communities."
Omid Asgari | Associate Professor of Neuromarketing
"With a background in business ventures and entrepreneurship, I saw firsthand the importance of intuitive decision-making in fast-moving markets. My career has combined practical business experience with neuroscience insights to help leaders make better choices. In my neuromarketing courses, I create a learning environment that blends theory with real-world application, using case studies and reflection to help students connect academic research with their own ambitions.
Neuromarketing links academic theory with business practice by using biometrics, eye-tracking, and other tools to reveal the neurological drivers of consumer behavior. By uncovering subconscious responses to products, messages, and digital interactions, neuromarketing helps organizations design more engaging, emotionally resonant touchpoints, strengthening overall brand presence. By understanding these connections, students will be better equipped to become dynamic leaders in their future careers."
TIU Human and Artificial Intelligence Laboratory
Located in TIU’s Kawagoe Campus, the TIU Human and Artificial Intelligence Laboratory boasts state of the art equipment for students taking DSAI courses to advance their skills through practice-oriented lessons and hands-on project implementations.
Concentration Modules
This major is organized into six concentration modules.
| Data Analytics | This module builds a solid foundation in statistics, mathematics, and analytical methods. Students learn to interpret real-world data and extract insights to support evidence-based decision-making. |
| Computer Science | Students study the core concepts of system design and data structure and algorithms that underpin modern computing. The module strengthens computational thinking and prepares students for advanced software and AI development. |
| Programming and AI | Students develop practical programming skills in Python and C while learning key machine-learning and deep-learning concepts. They gain hands-on experience building intelligent systems and working with big-data technologies. |
| AI Engineering | This module focuses on applied AI, including NLP, generative AI, and AI engineering. Through project-based learning, students design and implement AI solutions for real-world challenges. |
| AI Application | Students explore the use of AI in emerging fields such as intelligent product development, cybersecurity, and quantum computing. Project work helps them apply AI techniques in practical and industry-relevant contexts. |
| Digital Technology & Business | This module teaches students to use AI and analytics to support strategic and data-driven business decisions. They develop a hybrid skill set bridging technology and business innovation. |
* Coming soon: DSAI course list page