A Journey of Insights and Discoveries
YEAR 1: Building a Strong Foundation in Computing
The journey begins by establishing a solid foundation in engineering with fundamental courses across science and technology. These include key subjects such as Engineering Mathematics. No matter the chosen specialization—AIML, Cyber Security, CSBS, Data Science, or IoT—the first year equips students with essential skills and knowledge to prepare for advanced learning in subsequent years.
YEAR 2: Expanding Horizons in Computing
In the second year, students broaden their knowledge base by delving into core computer science subjects. Courses such as Data Structures, Database Systems and Design and Analysis of Algorithms etc., are taught across all specializations, ensuring a comprehensive understanding of computing concepts. This year sets the stage for more specialized study in fields like Artificial Intelligence & Machine Learning, Cyber Security, Data Science, IoT, or Business Systems.
YEAR 3: Mastering Domain-Specific Skills
The third year is focused on developing expertise in a specific domain:
AIML: students concentrate on advanced topics like machine learning models, natural language processing, or deep learning.
Cyber Security: students learn about system security, cryptographic techniques, and ethical hacking.
CSBS: Students dive into the intersection of business systems and IT, covering enterprise solutions and business technologies.
Data Science:Students focus on data visualization, machine learning, and data analytics.
IoT:Students explore embedded systems, sensor networks, and IoT applications.
In addition, students work on developing complete applications—whether web-based, mobile, or embedded—while also having the option to embark on a research project in emerging computing domains.
YEAR 4: Innovating and Implementing Ideas
In the final year, students focus on innovation and practical implementation. Specialized courses like Big Data Analytics, Deep Learning, Internet of Things, Cloud Computing, Web and Database Security, Big Data Analytics and Reinforcement Learning help students develop real-world, industry- or society-driven applications:
YEAR 1: Building a Strong Foundation in Computing
The journey begins by establishing a solid foundation in engineering with fundamental courses across science and technology. These include key subjects such as Engineering Mathematics. No matter the chosen specialization—AIML, Cyber Security, CSBS, Data Science, or IoT—the first year equips students with essential skills and knowledge to prepare for advanced learning in subsequent years.
YEAR 2: Expanding Horizons in Computing
In the second year, students broaden their knowledge base by delving into core computer science subjects. Courses such as Data Structures, Database Systems and Design and Analysis of Algorithms etc., are taught across all specializations, ensuring a comprehensive understanding of computing concepts. This year sets the stage for more specialized study in fields like Artificial Intelligence & Machine Learning, Cyber Security, Data Science, IoT, or Business Systems.
YEAR 3: Mastering Domain-Specific Skills
The third year is focused on developing expertise in a specific domain:
AIML: students concentrate on advanced topics like machine learning models, natural language processing, or deep learning.
Cyber Security: students learn about system security, cryptographic techniques, and ethical hacking.
CSBS: Students dive into the intersection of business systems and IT, covering enterprise solutions and business technologies.
Data Science:Students focus on data visualization, machine learning, and data analytics.
IoT:Students explore embedded systems, sensor networks, and IoT applications.
In addition, students work on developing complete applications—whether web-based, mobile, or embedded—while also having the option to embark on a research project in emerging computing domains.
YEAR 4: Innovating and Implementing Ideas
In the final year, students focus on innovation and practical implementation. Specialized courses like Big Data Analytics, Deep Learning, Internet of Things, Cloud Computing, Web and Database Security, Big Data Analytics and Reinforcement Learning help students develop real-world, industry- or society-driven applications:
AI/ML:Students can build intelligent systems or predictive models.
Cybersecurity:Students may develop advanced security frameworks.
Data Science:Students apply data-driven insights to solve business or societal challenges.
IoT:Students design interconnected systems for automation and data exchange.
CSBS:Students work on business intelligence or enterprise technology projects.
This phase encourages students to apply their accumulated knowledge and develop cutting-edge solutions that address real-world challenges in their areas of expertise.