B. Tech Information Science & Technology
Duration
Eligibility
Eligibility Norms for Admission to B. Tech Programs:
Candidates seeking admission to B.Tech. Program should have passed the Pre-University / Higher Secondary /or any equivalent 10+2 examination from an approved State / Central govt. board or from an international board like University of Cambridge "A" level certificate or certificate from International Baccalaureate (IB), Geneva, etc., with a minimum of 45% marks in Physics and Mathematics as compulsory subjects along with either Chemistry / Biotechnology / Biology / Electronics /Computer as an additional subject, and with 55% aggregate for SOCSE & 50% aggregate for SOE of total marks in the Qualifying Examination. Candidates should have appeared in any national / state level / Presidency University entrance examination viz. CET, Comed – K, JEE and such others.
Eligibility Norms for Admission to B. Tech Programs (Lateral)
A candidate who has passed any diploma examination or equivalent examination and obtained a minimum of 60% aggregate is eligible for admission to B. Tech Programs (Lateral Entry). Candidate should have appeared in any state level entrance examination.
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 Linear Algebra - MAT1001
- 02Optoelectronics and Device Physics - PHY1002
- 03Engineering Graphics - MEC1006
- 04Technical English - ENG1002
- 05Introduction to Soft Skills - PPS1001
- 06Problem Solving Using C - CSE1004
- 07Digital Design - ECE2007
- 08Introduction to Design Thinking - DES1146
- 01Applied Statistics - MAT1003
- 02Environmental Science - CHE1018
- 03Basic Engineering Sciences - CIV1008
- 04Problem Solving using JAVA - CSE1006
- 05Advanced English / Foreign Language Courses - ENG2001/FRLXXXX
- 06Enhancing Personality Through Soft Skills - PPS1012
- 07Basics of Electrical and Electronics Engineering - EEE1007
- 08Indian Constitution and Professional Ethics for Engineers - LAW1007
- 09Innovative Projects Using Arduino - ECE2010
- 01Applied Statistics - MAT1003
- 02Basics of Electrical and Electronics Engineering - EEE1007
- 03Technical English - ENG1002
- 04Introduction to Soft Skills - PPS1001
- 05Problem Solving Using C - CSE1004
- 06Basic Engineering Sciences - CIV1008
- 07Environmental Science - CHE1018
- 08Indian Constitution and Professional Ethics for Engineers - LAW1007
- 01Calculus and Linear Algebra - MAT1001
- 02Engineering Graphics - MEC1006
- 03Problem Solving using JAVA - CSE1006
- 04Advanced English / Foreign Language Courses - ENG2001/FRLXXXX
- 05Enhancing Personality Through Soft Skills - PPS1012
- 06Introduction to Design Thinking - DES1146
- 07Optoelectronics and Device Physics - PHY1002
- 08Digital Design - ECE2007
- 09Innovative Projects Using Arduino – ECE2010
- 01Mathematical Methods for CSE - MAT3005
- 02Data Structures and Algorithms - CSE2001
- 03Data Communications and Computer Networks - CSE3155
- 04Computer Organization and Architecture - CSE2009
- 05Discrete Mathematical Structures - MAT2004
- 06Innovative Projects Using Raspberry Pi - ECE2011
- 07Programming in Python - CSE1005
- 08Introduction to Aptitude - PPS4002
- 09Web Technologies - CSE2067
- 01Numerical Methods for Engineers - MAT2003
- 02Design and Analysis of Algorithms - CSE2007
- 03Database Management Systems - CSE3156
- 04Operating Systems - CSE3351
- 05Fundamentals of Data Analytics - CSE2027
- 06Software Engineering - CSE2014
- 07Artificial Intelligence and Machine Learning - CSE3157
- 08Open Elective – I
- 09Aptitude Training Intermediate - PPS4004
- 10Mastering Object-Oriented Concepts in Python - CSE3216
- 01Professional Elective – I - CSEXXXX
- 02Neural Networks and Fuzzy Logic - CSE3016
- 03R Programming for Data Science - CSE3035
- 04Professional Elective – II - CSEXXXX
- 05Natural Language Processing - CSE3014
- 06Professional Elective – III - CSEXXXX
- 07Logical and Critical Thinking - PPS4006
- 08Data Structure and Web Development with Python - CSE3217
- 09Open Elective – II
- 01Deep Learning Techniques - CSE3010
- 02Applied Data Science - CSE3038
- 03Professional Elective – IV - CSEXXXX
- 04Professional Elective – V - CSEXXXX
- 05Open Elective – III (Management Basket)
- 06Aptitude for Employability - PPS4005
- 07Python Full-Stack Development - CSE3218
- 08Professional Elective – VI - CSEXXXX
- 09Business Continuity and Risk Analysis - CSE2025
- 01Professional Elective – VII - CSEXXXX
- 02Professional Elective – VIII - CSEXXXX
- 03Professional Elective – IX - CSEXXXX
- 04Professional Elective – X - CSEXXXX
- 05Reinforcement Learning - CSE3011
- 06Preparedness for Interview - PPS3018
- 07Capstone Project - PIP2004
- 01Internship - PIP4008
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
Coming soon...
Program Regulations
Coming soon...
Download Brochure
Coming soon...
USP
Coming soon...
Career Opportunities
-
Software Developer/Engineer
Build and maintain software applications.
-
Data Scientist/Analyst
Derive insights from data to guide decisions.
-
Cloud Solutions Architect
Design scalable cloud-based systems.
-
Cybersecurity Analyst
Protect systems from cyber threats.
-
DevOps Engineer
Streamline development and operations processes.
-
Blockchain Developer
Create secure decentralized applications.
-
AI/ML Engineer
Develop intelligent algorithms and learning models.
-
IoT Engineer
Integrate and optimize connected devices.
-
Full-Stack Developer
Build end-to-end web and application solutions.