About B. Tech (CSE) & specialisation in Artificial Intelligence & Data Science, Internet of Things and Cyber Security Including Block Chain Technology, Cloud Computing

Explore the cutting-edge realm of technology and innovation through our Bachelor of Technology (B. Tech) programme in Computer Science and Engineering (CSE) at Apeejay Stya University. Our comprehensive B. Tech CSE programme is designed to equip students with a strong foundation in computer science while offering specialised tracks to delve deeper into the most sought-after domains in the tech industry.

The B. Tech CSE programme provides a solid framework in fundamental computer science principles and applications. Students have the opportunity to further enhance their expertise by choosing from a range of specialised tracks that cater to diverse technological interests. For those intrigued by the transformative potential of Artificial Intelligence and Data Science, our specialised track in AI & Data Science within the B. Tech CSE programme offers an immersive learning experience. Students delve into machine learning, data analytics and advanced AI algorithms, preparing them to tackle real-world challenges in this rapidly evolving field.

Enthusiasts interested in securing digital spaces and pioneering advancements in the inter-connected world can opt for our specialisation in Internet of Things (IoT) and Cyber Security, Including Blockchain Technology. This track equips students with the skills needed to design secure IoT systems, understand cybersecurity protocols, and harness the potential of Blockchain for secure transactions and data management.

Furthermore, for those captivated by the realm of Cloud Computing, our specialisation in this domain within the B. Tech CSE programme offers a deep dive into cloud infrastructure, services and technologies. Students gain hands-on experience in deploying, managing and optimising cloud-based solutions, preparing them for roles in this rapidly expanding field.

At Apeejay Stya University, our B. Tech CSE programme with specialised tracks is designed to nurture technologically adept professionals who are poised to make significant contributions to the ever-evolving tech industry. Through a blend of theoretical knowledge and practical application, our courses aim to empower students to become future-ready innovators and leaders in their chosen domain.

Collaborations

Eligibility and Duration

UG Programmes Duration Eligibility
B. Tech (CSE) 4 years 10 + 2 & basic knowledge of English. Candidates must have studied Physics and Mathematics in their Class XII. They must have studied at least one of the following as optimal subjects: Chemistry, Biology, Computer Science and Bio-Technology. They must have scored an aggregate of 50%
B. Tech CSE with specialisation in Artificial Intelligence & Data Science 4 years 10 + 2 & basic knowledge of English. Candidates must have studied Physics and Mathematics in their Class XII. They must have studied at least one of the following as optimal subjects: Chemistry, Biology, Computer Science and Bio-Technology. They must have scored an aggregate of 50%
B. Tech CSE with specialisation in Internet of Things and Cyber Security Including Block Chain Technology 4 years 10 + 2 & basic knowledge of English. Candidates must have studied Physics and Mathematics in their Class XII. They must have studied at least one of the following as optimal subjects: Chemistry, Biology, Computer Science and Bio-Technology. They must have scored an aggregate of 50%
B. Tech CSE with specialisation in Cloud Computing 4 years 10 + 2 & basic knowledge of English. Candidates must have studied Physics and Mathematics in their Class XII. They must have studied at least one of the following as optimal subjects: Chemistry, Biology, Computer Science and Bio-Technology. They must have scored an aggregate of 50%
B. Tech - Lateral Entry (Candidates are admitted directly to second year) 3 years Candidates who have passed 3 years diploma in the relevant field of Engineering/BSc ( PCM) with a minimum of 50% marks in aggregate can apply for Lateral Entry to B Tech Programmes

Fee Structure for Academic Session 2024-2025

Actual Fee Rs 2,85,200
Fee After Early Bird Scholarship Rs 1,50,000*

*The Above Fee Structure with Early Bird Scholarship is only applicable for first 500 applications for the academic session 2024-25.

Fee Other than Academic Fee

Registration Fee Rs 2000 for each semester
Caution Money Rs 5000 (Refundable) is payable once at time of admission.

Course Outline

The Bachelor of Technology in Computer Science and Engineering (B.Tech CSE) is a comprehensive four-year degree programme designed to provide students with a strong foundation in core computer science courses coupled with specialised tracks tailored to their interests and career aspirations. The curriculum encompasses a diverse range of subjects, including fundamental programming languages, algorithms, data structures and computer architecture, complemented by advanced coursework in specialised areas such as artificial intelligence, cybersecurity, data science and software engineering. Embracing the principles of the National Education Policy (NEP), the programme integrates multi-disciplinary studies, value-added modules and skill enhancement initiatives, ensuring a holistic learning experience. Practical exposure is emphasised through industrial training and internships, fostering industry-relevant skills and real-world problem-solving abilities. This comprehensive approach equips graduates with a well-rounded skill set and prepares them to thrive in the ever-evolving landscape of technology and innovation.

Click here for detailed course outline

Semester       Title of the Paper Credits Multidisciplinary, Skill Enhancement (SEC), and Ability Enhancement Courses (AEC) Credits Total Credits
I Engineering Mathematics -I 4 Minor-1 4 23
Digital Electronics 4 MLD1 3
    SEC-1 3
    AEC-1 2
    VAC-1 3
       
II Engineering Mathematics -II 4 Minor-2 4 20
    MLD2 3
    SEC-2 3
    AEC-2 2
    VAC-2 3
    NCC/NSS/ Community Service 1
       
III Discrete Mathematics 4 Minor-3 4 20
Data Base Management System 4 MLD-3 3
    AEC-3 2
    SEC-3 3
    DVAC 0
       
IV Java Programming 4 Minor-4 4 22
Computer Organisation and Architecture 4 Minor-5 4
Data Structure and Algorithm  4 AEC-4 2
       
V Software Engineering 4 Elective -01 4 22
Operating System 4 Minor-6 4
Design & Analysis of Algorithm 4 Internship 2
    DVAC 0
       
VI Automata and Complexity Theory 4 Minor-7 4 24
Computer Networks 4 Elective -02 4
Internet of Things 4 Elective -03 4
       
VII Web Technology 4 Minor-8 4 22
Compiler Design 4 Elective -04 4
Minor Project 4 Internship 2
       
VIII Research Project/ Dissertation/Industrial Training 12     12
          165      
Artificial Intelligence and Data Science
Semester Title of the Paper Credits
I Programming Language 4
II Advanced Programming Language 4
III Machine Learning 4
IV Fundamental of Data Science 4
IV Advanced Machine Learning 4
V Computer Vision or Natural Language Processing 4
VI Programming for Machine Learning (py Torch/Tensor Flow) 4
VII Deep Learning 4
VIII Big Data Analytics 4

Cloud Computing
Semester Title of the Paper Credits
I Programming Language 4
II Advanced Programming Language 4
III Introduction with Cloud Computing 4
IV Principles of Distributed Systems 4
IV Building Cloud and Big Data 4
V Cloud Systems Engineering 4
VI Cloud Storage and Security 4
VII Cloud Management and Tuning 4
VIII Big Data and Analytics in the Cloud 4

Internet of Things and Cyber Security Including Block Chain Technology
Semester Title of the Paper Credits
Semester Title of the Paper Credits
I Programming Language 4
II Advanced Programming Language 4
III Fundamentals of CyberSecurity Blockchain 4
IV IoT with Arduino, ESP, and Raspberry Pi 4
IV Blockchain Security and Performance 4
V Cryptography and Secure Communications 4
VI Ethical Hacking and Penetration Testing  4
VII Cybercrime Investigation and Forensics 4
VIII Robotics 4


Software Development
Semester Title of the Paper Credits
I Programming Language 4
II Advanced Programming Language 4
III Software Engineering 4
IV Data Warehouse and Data Mining 4
IV Software Project Management 4
V Edge Computing/MooC 4
VI Secure software engineering/Mooc 4
VII MooC 4
VIII MooC 4
Elective-01
Data Warehouse and Data Mining
Microprocessor & Microcontroller
Elective-02
Fundamentals of Blockchain
Big Data Analytics
Elective-03
Statistical Analysis using R
Cloud Computing
Elective-04
Information retrieval
Image Processing and Computer Vision 
Cyber Security and Cyber Forensic

Program Framework, Scheme and Outcomes

Training & Placements

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