To be a nationally and internationally recognized center of excellence in Data Science and Engineering, driving innovation and impactful research to solve complex societal and industrial challenges.

To deliver affordable, high-quality, and industry-aligned education in Data Science and Engineering through experiential learning, project-based coursework, and cutting-edge research. We are committed to cultivating graduates who possess robust analytical abilities, engineering rigor, and a deep sense of ethical responsibility, empowering them to become solution-providers for Bangladesh’s digital transformation.

Objectives:
    1. Produce proficient data engineers and scientists capable of architecting scalable data pipelines and deploying machine learning models to address the needs of local industries and global markets.

    2. Cultivate a robust research ecosystem focused on applied AI, predictive analytics, and big data infrastructure, encouraging faculty and students to publish and innovate on solutions for national development goals.

    3. Integrate ethics, data privacy, and responsible AI as foundational pillars across all courses, ensuring graduates handle data with integrity and societal awareness.

    4. Forge sustainable academia-industry partnerships through co-op programs, collaborative capstone projects, and advisory board participation to ensure curriculum agility and technological relevance.

    5. Nurture entrepreneurial and leadership qualities, preparing graduates to not only fill existing job roles but also to create new ventures, drive digital transformation in public administration, and lead research teams.

The vision of the Department of Data Science and Engineering is to become a center of excellence in Data Science and Engineering by fostering academic excellence, impactful research, and innovation.

To provide quality, industry-relevant education in data science and engineering through innovative teaching, hands-on training with real-world data, and research opportunities, equipping students with strong analytical, computational, and ethical data handling skills at an affordable cost, and transforming graduates into competent data science professionals.

Objectives:
    1. To produce skilled data scientists and engineers capable of designing, building, and managing data-driven systems for national and global industries.

    2. To foster a culture of applied research in areas such as machine learning, big data analytics, and data engineering that addresses real-world and societal challenges.

    3. To instill ethical, privacy-conscious, and responsible data practices in students as they collect, analyze, and apply data.

    4. To build strong academia-industry linkages that keep the curriculum current with emerging tools, technologies, and market demand.

    5. To prepare graduates for diverse roles as researchers, analysts, and administrators who contribute to national development.