Overview
Computer Science Engineering (CSE), ?is an academic programme that combines the fields of Computer Engineering and Computer Science. The curriculum covers a wide range of subjects in computer programming and networking. Computation, algorithms, programming languages, programme design, computer software, computer hardware, and other related subjects are covered.
Computer science engineers work on many different areas of computing, from building individual microprocessors, personal computers, and supercomputers to designing circuits and creating software to power them.
The Bachelor of Technology program in Computer Science & Engineering includes the following in its curriculum
- Well-equipped laboratories meeting the requirements of undergraduate courses in Computer Science & Engineering, research and consultancy
- Seminar presentation
- Industrial Training
- Guest lectures by experts
- Various co-curricular activities such as paper and poster presentations
Career Opportunities:
- Programming and software development
- Information systems operation and management
- Telecommunications and networking
- Computer science research
- Web and internet
- Image processing, graphics and multimedia
- Training and support
- Data mining specialisation.
Academic Year 2021:?Click here for Course Structure
Academic Year 2022:??Click here for Course Structure
Academic Year 2025: Click here for Course Structure?
Key Dates & Deadlines
22
Apr 22 25
Apr ' 25
Last date to Apply
'
Tentative Course Commencement Date
Indian Students Apply
365体育直播 Academy of Higher Education not only caters to one’s academic needs, but also lays emphasis on all-round development of its students.
365体育直播 Students Apply
365体育直播 Academy of Higher Education not only caters to one’s academic needs, but also lays emphasis on all-round development of its students.
Indian Students Apply
365体育直播 Academy of Higher Education not only caters to one’s academic needs, but also lays emphasis on all-round development of its students.
365体育直播 Students Apply
365体育直播 Academy of Higher Education not only caters to one’s academic needs, but also lays emphasis on all-round development of its students.
Specializations
Provision to choose the specialisation from 5th semester of CSE
AIML specialisation provides the budding engineers with a spectacular array of courses dedicated to frontiers in the field of AIML with a foundation of Computer Science & Engineering. The curriculum focuses on foundations of computational mathematics, core areas of computer science, along with the latest advancements in artificial intelligence. Core courses in computer science help students to drive them through the ever-changing IT requirements.
Cyber Security specialisation is aimed at producing the much-needed highly skilled computer science security professionals who can safeguard information, systems, networks, communications, and storage from ever-evolving security threats. The prime objective of the program is to create professionals trained in both computer science and cyber security. The curriculum focuses on concepts in Cryptography, Governance, and Compliance. Protect data, information, and infrastructure from cyber-attacks with proper risk management and mitigation. To develop cyber security strategies and policies and analyse the nature of attacks through cyber/computer forensics software/tools.
Data Science is a journey towards mastering CSE in the field of data science applying machine learning techniques. It is an intensive skill- oriented program with enough practical training for building business models for analytics. With analysis and statistical approaches, data science is one of the fastest-growing career opportunities in the country.It is designed to give exposure to the variety of applications that can be built using techniques covered under this program. This program will help the students to understand and master CSE and make them specialists in the field of data science – which is one of the emerging fields of computer science and the highest paid in the market. The interdisciplinary field of data science uses key skills from a wide range of fields including machine learning, statistics, visualization, etc. It enables to identification of meaning and appropriate information from huge volumes of data to make informed?decisions in technology, science,business, etc.
A specialization in Gaming and Digital Twinning is an innovative program designed to equip students with the skills and knowledge to excel in the rapidly evolving fields of interactive technology and virtual modelling. This interdisciplinary course combines core computer science principles with specialized training in Gaming strategies and digital Twinning technologies, preparing graduates for dynamic roles in various industries. The curriculum focuses on concepts in Gaming Strategies, Digital Twinning Technology, and Virtual and Augmented Reality. Students explore areas like artificial intelligence, machine learning, IoT, and human-computer interaction.
Quantum Computing specialisation focuses on emerging technologies like AI, machine learning, quantum computing, and computer vision, offering specialized learning pathways and hands-on experience through labs, projects, and industry internships. It integrates AI with quantum computing, fostering interdisciplinary expertise and real-world problem- solving. Students benefit from startup incubation centers, global collaborations, and industry partnerships, gaining access to mentorship, funding, and international exposure. Personalized electives embedded global certifications, and a dedicated career support cell ensured enhanced employability and strong placement opportunities. This program equips students with cutting-edge skills and practical experience to excel in AI and quantum-driven industries.
Robotics and AI focus on integrating mechanical systems with advanced AI for autonomous, intelligent solutions. This interdisciplinary field combines robotics, computer science, AI, and mechanical engineering, offering hands-on experience with humanoid robots, autonomous vehicles, drones,and industrial automation. Students access specialized labs with robotic arms and sensors. With a curriculum emphasizing embedded systems, IoT, and control systems, graduates are prepared for careers in robotics, smart manufacturing, defense, and healthcare.
Duration
4 Years (8 semesters).