Why LTU?

• LTU will transform you from a science user to a decision maker
• Become a game changer in a number of industries using big data to come up with innovative solutions
• Embrace the data-driven world and unleash your potential

DATA SCIENCE RECENT ACTIVITIES AT LTU

>> Data Science slides

ABOUT DATA SCIENCE AT LTU

The data Science program highlights the contribution of Lawrence Technological University in equipping students with the necessary data science skills to address complex challenges faced by communities and industries. It recognizes the exponential growth of data production and its impact on various disciplines and industries, emphasizing the need for a multidisciplinary approach to education. This proposal aims to provide students with theoretical teachings, practical experiments, collaborations with industry leaders, and a diverse and inclusive learning environment to prepare them as effective problem-solvers. This program acknowledges the significant role of data science in shaping industries, governments, and driving societal progress. It highlights the use of machine learning algorithms for predictive analytics and data-driven decision-making processes, emphasizing the potential of data science to address complex societal issues. By incorporating data analytics into various fields, program aims to educate students with interdisciplinary skills to become innovative leaders. The university’s strong partnerships with industry leaders, ranging from automotive, construction, architecture, and healthcare to defense technologies, provide students with opportunities to gain real-world experience and apply their data science skills to address industry problems. Additionally, LTU supports data science research and innovation through various opportunities, including publishing project outcomes, data, and analysis in local and international conferences and scientific journals. The data science program aims to create a new generation of creative leaders who can drive positive change in communities and industries. Moreover, this program aims to contribute to research and publication by enabling students to undertake data-driven research and produce innovative and impactful solutions to societal challenges.

The data science program presents a multidisciplinary approach, bringing together students from diverse fields—engineering, health science, architecture, business, and computer science—to work as team towards solving cross-disciplinary real-world community and industry challenges. By combining the expertise and perspectives from these fields, the program aims to equip students with a well-rounded understanding of data science. The program curriculum covers both theoretical concepts and practical skills, emphasizing the importance of community engagement and social responsibility. By addressing real-world issues, students will gain a better understanding of the positive impact data science can have on society. The incorporation of diverse datasets from various fields, including engineering, health science, architecture, business, and robotics, enriches the program curriculum. Working with diverse datasets allows students to gain their own experience and understanding of the ethical considerations and societal implications of data-driven solutions. The collaboration between the university and the local community is an essential aspect of this program. By partnering with local organizations and industry professionals, students will have the opportunity to apply academic theory to real-world data projects, preparing them for the workforce and market. This collaboration is expected to yield valuable results that will be utilized in the creation of resources for upcoming conferences and research publications.

Broader Impacts

The program has the potential to make a significant impact on multiple levels. By collaborating with community organizations, the program will address real-world challenges and contribute to the betterment of society. Through its partnership with the community, students will gain practical skills and experience in data science while promoting diversity and inclusivity in STEM fields. The program will also bring tangible benefits to the community by empowering residents through data-driven solutions. The interdisciplinary approach of the program and its dissemination of research outcomes will advance the discipline of data science and contribute to current research. Furthermore, the program’s success can serve as a model for other universities and communities to collaborate and address local challenges through data science.

MASAL CONFERENCE – 2025

Lawrence Technological University’s continued commitment to fostering student research and innovation, two outstanding students had the opportunity to present their work at the academic conference. Sonya Tran and Logan Miller, both Computer Science majors at LTU, presented their research at the 2025 Michigan Academy of Science, Arts & Letters (MASAL) Conference on February 28th.