Computer Science and Engineering (Data Science) - School of Engineering And Technology

Computer Science Engineering (DS)

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Prof. Zeeshan Zainuddin Khan
Head of the Department, CSE (DS)
Anjuman-I-Islam’s Kalsekar Technical Campus, Navi Mumbai

Academic Credentials

Prof. Zeeshan Zainuddin Khan is an experienced academician with over 15 years of teaching and academic leadership experience in Engineering and Technology. He has completed an M.Tech in Artificial Intelligence and Machine Learning and holds a Bachelor’s degree and a Diploma in Electronics and Telecommunication Engineering.

Currently, he is working as Assistant Professor and Head of CSE(DS) department in School of Engineering and Technology, Anjuman I Islam’s Kalsekar Technical Campus. His academic journey reflects strong contributions in curriculum development, accreditation processes, institutional quality assurance, and student mentorship.

His areas of interest include Artificial Intelligence, Machine Learning, Data Science, Robotics, Python Programming, and Digital Electronics. He has published research in UGC and Scopus-indexed journals, with a focus on applying machine learning techniques to sports and performance analytics. He believes in continuous learning and actively engages in professional development to remain aligned with emerging technologies and industry requirements.

He strongly believes in student-centric learning, interdisciplinary research, and continuous academic upgradation, striving to bridge the gap between theoretical knowledge and real-world applications through innovative teaching and mentorship.

HoD Message

Dear Students,

Welcome to the Department of Computer Science and Engineering (Data Science) at Anjuman I Islam’s Kalsekar Technical Campus, New Panvel.

In today’s rapidly evolving digital world, data has become the cornerstone of innovation, driving advancements across industries and reshaping the way we understand the world. Our department stands at the forefront of innovation, bridging the disciplines of computer science and data science to address the challenges of a rapidly evolving digital world.

The curriculum represents a blend of foundational principles of computer science with specialized data science skills. The department continuously strives to provide a strong foundation in computational thinking, data analytics, machine learning, data visualization complemented by hands-on experience with cutting-edge tools and technologies.

Our department takes pride in its team of qualified, experienced, and committed faculty members. As the demand for data-driven solutions continues to grow, we are dedicated to equipping our students with the skills and knowledge to harness the power of data for transformative impact. The department is dedicated to creating a strong platform for students to reach their career aspirations.

I invite you to explore our website to learn more about our programs and the achievements of our faculty and students. Together, we aim to redefine the possibilities of technology and data science for the betterment of society.

Warm regards,

VISION

To be the most sought after academic, research and practice based department of Computer Science & Engineering (DS) that others would wish to emulate.

MISSION

Creating Exuberant Computer Science & Engineering (DS) Professionals.

Program Educational Objectives (PEOs)

PEO 1: To equip learners with a solid foundation in mathematics, statistics, and data science principles, along with core engineering knowledge.

PEO 2: To encourage learners to engage in self-learning and to use modern data science tools to address real-world problems.

PEO 3: To provide a broad education that helps learners understand the role of data science in global and social contexts, with a focus on ethical data use.

PEO 4: To encourage lifelong learning and professional development in the fast-growing field of data science.

PEO 5: To cultivate professional and ethical attitudes, good leadership skills, and a commitment to social responsibility in learners.

Mission Elements

M1: Apply the OBE model to equip students with foundational data science skills.

M2: Encourage innovative learning, research, and problem-solving in data science.

M3: Offer facilities and a supportive environment for quality academics and practical skills.

M4: Build an ecosystem that supports professional development, continuous learning, and rewards.

M5: Prepare students for social impact, advanced studies, entrepreneurship, careers, and data-driven innovation.

Program Specific Outcomes (PSOs)

PSO1: An ability to apply data science fundamentals to address complex and data-centric real world challenges.

PSO2: An ability to design and develop effective solutions by incorporating data science methodologies and integrating new technologies that address societal needs.

Computer Science Engineering (DS)

Academic Credentials

HoD Message

VISION

MISSION

Program Educational Objectives (PEOs)

Mission Elements

Program Specific Outcomes (PSOs)

Proudly Announces Conferment of

UGC Autonomous Status

School of Engineering and Technology

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From AY 2025-26