B. Tech Information Science & Technology
Duration
Eligibility
Eligibility Norms for Admission to B. Tech Programs:
Passed 10+2 examination with Physics/ Mathematics Compulsory along with Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.
Eligibility Norms for Admission to B. Tech Programs (Lateral):
Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in relevant branch of Engineering and Technology as mentioned in the AICTE APH 2024-25.
OR
Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.
OR
Passed B.Voc/3-year D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme)
Programme Overview
Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. Data science can be defined as a blend of mathematics, business acumen, tools, algorithms, and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data, which can be of major use in the formation of big business decisions. This engineering program leads to specialization in artificial intelligence and data sciences, combining important domains, namely mathematics, statistics, computer programming, artificial intelligence, and software design, to enable a student to meet the demands of modern industry.
Course Curriculum
- 01Calculus and Differential Equations - MAT2301
- 02Optoelectronics and Quantum Physics - PHY2501
- 03Engineering Graphics - MEC1006
- 04English for Technical Communication - ENG1900
- 05Computational Thinking using Python - CSE1500
- 06Digital Design - ECE2022
- 07Introduction to Design Thinking - DES1146
- 08Optoelectronics and Quantum Physics Lab - PHY2504
- 09Industry Readiness Program – I - PPS1025
- 10Digital Design Lab - ECE2052
- 01Probability and Statistics - MAT2402
- 02Environmental Studies - CHE7601
- 03Foundations of Integrated Engineering - CIV1200
- 04Chemistry of Smart Materials - CHE2501
- 05Problem Solving using C - CSE2200
- 06Advanced English - ENG2501
- 07Basics of Electrical and Electronics Engineering - EEE1200
- 08Indian Constitution - LAW7601
- 09Problem Solving using C Lab - CSE2201
- 10Chemistry of Smart Materials Lab - CHE2502
- 11Industry Readiness Program – II - PPS1026
- 12Basics of Electrical and Electronics Engineering Lab - EEE1250
- 13Design Workshop - ECE1511
- 01Probability and Statistics - MAT2402
- 02Environmental Studies - CHE7601
- 03Foundations of Integrated Engineering - CIV1200
- 04Chemistry of Smart Materials - CHE2501
- 05Problem Solving using C - CSE2200
- 06Advanced English - ENG2501
- 07Basics of Electrical and Electronics Engineering - EEE1200
- 08Indian Constitution - LAW7601
- 09Problem Solving using C Lab - CSE2201
- 10Chemistry of Smart Materials Lab - CHE2502
- 11Industry Readiness Program – II - PPS1026
- 12Basics of Electrical and Electronics Engineering Lab - EEE1250
- 13Design Workshop - ECE1511
- 01Calculus and Differential Equations - MAT2301
- 02Optoelectronics and Quantum Physics - PHY2501
- 03Engineering Graphics - MEC1006
- 04English for Technical Communication - ENG1900
- 05Computational Thinking using Python - CSE1500
- 06Digital Design - ECE2022
- 07Introduction to Design Thinking - DES1146
- 08Optoelectronics and Quantum Physics Lab - PHY2504
- 09Industry Readiness Program – I - PPS1025
- 10Digital Design Lab - ECE2052
- 01Linear Algebra and Vector Calculus - MAT2303
- 02Data Communication and Computer Networks - CSE2251
- 03Data Communication and Computer Networks Lab - CSE2252
- 04Data Structures - CSE2253
- 05Data Structures Lab - CSE2254
- 06Object Oriented Programming Using Java - CSE2255
- 07Object Oriented Programming Using Java Lab - CSE2256
- 08Computer Organization and Architecture - CSE2257
- 09Web Technologies - CSE2258
- 10Web Technologies Lab - CSE2259
- 11Universal Human Values and Ethics - CIV7601
- 12Introduction to Aptitude - APT4002
- 01Discrete Mathematics - MAT2404
- 02Database Management Systems - CSE2260
- 03Database Management Systems Lab - CSE2261
- 04Data Analytics - CSE2500
- 05Data Analytics Lab - CSE2501
- 06Analysis of Algorithms - CSE2262
- 07Analysis of Algorithms Lab - CSE2263
- 08Essentials of AI - CSE2264
- 09Essentials of AI Lab - CSE2265
- 10Essentials of Finance - FIN1002
- 11Aptitude Training - Intermediate - APT4004
- 01Theory of Computation - CSE2266
- 02Cryptography and Network Security - CSE2502
- 03Ethical Hacking - CCS2504
- 04Ethical Hacking Lab - CCS2505
- 05Operating Systems - CSE2269
- 06Operating Systems Lab - CSE2270
- 07Applied Data Science - CSD2001
- 08Applied Data Science Lab - CSD2002
- 09Professional Elective – I - CSEXXXX
- 10Internship - CSE7000
- 11Logical and Critical Thinking - APT4006
- 01Software Design and Development - CSE2271
- 02Cloud Computing - CSE2272
- 03Cloud Computing Lab - CSE2273
- 04Mobile Application Development - CSE2505
- 05Mobile Application Development Lab - CSE2506
- 06Competitive Programming and Problem Solving - CSE2274
- 07Professional Elective – II - CSEXXXX
- 08Professional Elective – III - CSEXXXX
- 09Open Elective – I - XXXXXXX
- 10Aptitude for Employability - APT4005
- 01Professional Elective – IV - CSEXXXX
- 02Professional Elective – V - CSEXXXX
- 03Professional Elective – VI - CSEXXXX
- 04Open Elective – II - XXXXXXX
- 05Mini Project - CSE7100
- 06Preparedness for Interview - PPS3018
- 01Capstone Project - CSE7300
Programme Educational Objectives
After four years of successful completion of the program, the graduates shall be:
PEO 1: Demonstrate as a Computer Engineering Professional
PEO 2: Engage in lifelong learning through research and professional development
PEO 3: Serve as a leader in the profession through consultancy, extension activities and/or entrepreneurship
Programme Outcomes (POs)
On successful completion of the Program, the students shall be able to:
PO 1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO 2: Problem analysis: Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO 3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO 4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO 5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
PO 6: The engineer and society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues, and the consequent responsibilities relevant to professional engineering practice.
PO 7: Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
PO 9: Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO 11: Project management and finance: Demonstrate knowledge understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO 12: Life-long learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Programme Specific Outcomes
On successful completion of the Program, the students shall be able to:
PSO 01: An ability to use and develop cloud software, administrative features, infrastructure services, and architectural patterns: ethical hacking and forensic security technologies.
PSO 02: An ability to gain knowledge on design and control strategy; techniques to secure information and adapt to the fast-changing world of information.
PSO 03: An ability to gain working knowledge on emerging software tools and technologies and apply the knowledge of secure computing tools and techniques in the field of Information Science and Technology for solving real-world problems.
Student handbook
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USP
- Industry-Oriented Curriculum covering data science, AI, cyber security, cloud computing, and software engineering.
- State-of-the-Art Labs equipped with advanced computing, networking, and cyber security tools.
- Expert Faculty & Industry Mentorship providing hands-on experience with real-world IT applications.
- Hands-On Learning through live projects, coding challenges, hackathons, and case studies.
- Global Internship & Study Abroad Opportunities for international exposure and career growth.
- Strong Industry Collaborations with top IT firms for internships, research projects, and certifications.
- IT & Cloud Certifications including AWS, Google Cloud, Cisco, and Microsoft to enhance employability.
- Excellent Placement Records with top recruiters in software development, data science, cyber security, and IT services.
Career Opportunities
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Software Developer/Engineer
Build and maintain software applications.
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Data Scientist/Analyst
Derive insights from data to guide decisions.
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Cloud Solutions Architect
Design scalable cloud-based systems.
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Cybersecurity Analyst
Protect systems from cyber threats.
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DevOps Engineer
Streamline development and operations processes.
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Blockchain Developer
Create secure decentralized applications.
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AI/ML Engineer
Develop intelligent algorithms and learning models.
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IoT Engineer
Integrate and optimize connected devices.
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Full-Stack Developer
Build end-to-end web and application solutions.
Your Next Move Awaits
FAQs
The candidate must have passed 10+2 or an equivalent examination from any recognised board with a minimum of 40 % marks in aggregate.
There are three programmes offered: BCA, BCA AI & ML, and BCA Data Science.
B. Tech. in IT mainly focuses on computer applications and related areas, whereas B. Tech. in Computer Science and Engineering focuses on computer science theory, algorithms and system design.
Graduates of B. Tech in IT have diverse job roles available including, Data Analyst, Data Engineer, ML Engineer, AI Specialist, Data Scientist, Data Visualisation Specialist, Software Engineering, Network Administration, NLP Engineer, and RPA Developer.
The average salary package after a B.Tech. in IT is ₹4.5 – ₹6 LPA.
The programming languages taught in B.Tech. It includes the following:
Mandatory/Core Languages:
C, Java, C++, Python, Visual Basic, Visual C++
Web & Scripting:
HTML/CSS/JavaScript (via Web Technology courses)
Elective/Special Topics:
R, Julia, MATLAB, Rust, Go, SQ