Offered at Habib University
Dhanani School of Science and Engineering
Habib University nurtures engineering leaders who integrate technical excellence with critical inquiry and reparative responsibility. Through transformative knowledge and a commitment to societal repair, we empower students to design solutions that serve communities with compassion, addressing humanity’s challenges and fostering a more equitable and sustainable world.
About Dhanani School of Science and Engineering
The Dhanani School of Science and Engineering integrates rigorous technical education with expansive, interdisciplinary thinking. Our programs cultivate engineers who approach challenges through human-centered design, sustainability, and systems thinking. Students are empowered to create innovative solutions that respond thoughtfully to societal needs, shaping a more just and interconnected world.
BSComputer science
The BS in Computer Science program offers a comprehensive education that combines strong theoretical foundations with practical problem-solving skills. Accredited by the National Computing Education Accreditation Council, the program allows students to specialize in key areas such as Artificial Intelligence, Computer Graphics, Computer Networking, Computer Science Theory, Information Security, Machine Learning, Robotics, and Software Design & Engineering. Through immersive labs and real-world projects, students are prepared to develop innovative solutions that address contemporary challenges, with a strong focus on sustainable technological advancement.
BSComputer Engineering
DSSE’s BS in Computer Engineering program offers a comprehensive education that combines strong theoretical foundations with practical problem-solving skills. Accredited by the Pakistan Engineering Council, the program allows students to specialize in key areas such as Design of Computing Systems, Embedded Systems Design, Computer Networks and Security, Information Processing & Cyber-Physical Systems, and Software & Systems Engineering. Through immersive labs and real-world projects, students are prepared to develop innovative solutions that address contemporary challenges, with a strong focus on sustainable technological advancement.
BSElectrical Engineering
The BS in Electrical Engineering program offers a comprehensive education that combines rigorous theoretical knowledge with practical, hands-on experience. Recognized and accredited by the Pakistan Engineering Council, the program allows students to specialize in areas such as Control & Robotics, Electronics & Embedded Systems, Power & Energy Systems, and Telecommunications & Networks. Through immersive labs and real-world projects, students are prepared to develop innovative solutions that address contemporary challenges, with a strong focus on sustainable technological advancement. This program equips students to become leaders in the ever-evolving landscape of electrical engineering.
Accredited Standards
Habib University holds accreditations from the Pakistan Engineering Council (PEC) and the Higher Education Commission (HEC), affirming its rigorous academic standards. These recognitions ensure the university’s programs provide quality education, preparing graduates with the technical expertise and professional skills necessary to address contemporary challenges and contribute meaningfully to society.
DSSE Stats
Transforming Futures
123
Research projects
completed
123
Number of Students
graduated
123
Number of Papers
published
Our Science and Engineering Faculty
Our esteemed faculty is pivotal in establishing our reputation as Pakistan’s top-ranking university for engineering. With academic backgrounds from leading global institutions, they bring diverse perspectives and a steadfast commitment to shaping innovation and critical thinking. Their expertise enriches our interdisciplinary engineering programs, equipping students to excel in the ever-evolving technological landscape.
Adaptive Learning for Efficient Test Preparation
This project, led by Dr. Waqar Saleem, Associate Professor of Computer Science, and conducted by Muneeb Shafique from the Computer Science Batch of 2024, developed an algorithm to enhance standardized test preparation by tailoring questions to learners’ proficiency levels. The research, recognized at the 25th IEEE Multi-Topic International Conference, exemplifies how adaptive learning systems can optimize education through personalized approaches, advancing Habib University’s vision for impactful, student-led innovation.
Adaptive Learning for Efficient Test Preparation
This project, led by Dr. Waqar Saleem, Associate Professor of Computer Science, and conducted by Muneeb Shafique from the Computer Science Batch of 2024, developed an algorithm to enhance standardized test preparation by tailoring questions to learners’ proficiency levels. The research, recognized at the 25th IEEE Multi-Topic International Conference, exemplifies how adaptive learning systems can optimize education through personalized approaches, advancing Habib University’s vision for impactful, student-led innovation.
Adaptive Learning for Efficient Test Preparation
This project, led by Dr. Waqar Saleem, Associate Professor of Computer Science, and conducted by Muneeb Shafique from the Computer Science Batch of 2024, developed an algorithm to enhance standardized test preparation by tailoring questions to learners’ proficiency levels. The research, recognized at the 25th IEEE Multi-Topic International Conference, exemplifies how adaptive learning systems can optimize education through personalized approaches, advancing Habib University’s vision for impactful, student-led innovation.
Student Projects
Adaptive Learning for Efficient Test Preparation
This project, led by Dr. Waqar Saleem, Associate Professor of Computer Science, and conducted by Muneeb Shafique from the Computer Science Batch of 2024, developed an algorithm to enhance standardized test preparation by tailoring questions to learners’ proficiency levels. The research, recognized at the 25th IEEE Multi-Topic International Conference, exemplifies how adaptive learning systems can optimize education through personalized approaches, advancing Habib University’s vision for impactful, student-led innovation.
Adaptive Learning for Efficient Test Preparation
This project, led by Dr. Waqar Saleem, Associate Professor of Computer Science, and conducted by Muneeb Shafique from the Computer Science Batch of 2024, developed an algorithm to enhance standardized test preparation by tailoring questions to learners’ proficiency levels. The research, recognized at the 25th IEEE Multi-Topic International Conference, exemplifies how adaptive learning systems can optimize education through personalized approaches, advancing Habib University’s vision for impactful, student-led innovation.
Adaptive Learning for Efficient Test Preparation
This project, led by Dr. Waqar Saleem, Associate Professor of Computer Science, and conducted by Muneeb Shafique from the Computer Science Batch of 2024, developed an algorithm to enhance standardized test preparation by tailoring questions to learners’ proficiency levels. The research, recognized at the 25th IEEE Multi-Topic International Conference, exemplifies how adaptive learning systems can optimize education through personalized approaches, advancing Habib University’s vision for impactful, student-led innovation.
Learning Spaces
Circuits and Electronics Lab
Hands-on learning for foundational electrical engineering.
Digital Systems and Instrumentation Lab
Design and construct modern digital circuit components.
Digital Systems and Instrumentation Lab
Design and construct modern digital circuit components.
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Learning Spaces
DSSE Insights and Updates
FREQUENTLY ASKED QUESTIONS
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