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bachelor of science information technology management mobile
ASBM University
B. TECH – Artificial Intelligence and Machine Learning

B. TECH – Artificial Intelligence and Machine Learning

Collabration

Programme Key Stats

2026
Admission Session

best mba colleges in Bhubaneswar, Odisha

Eligibility Criteria

Higher Secondary (+2/XIIth) Science or equivalent with minimum 50% marks in aggregate (45% for reserved category)
OR
Three year Diploma in Engineering with minimum 50% marks in aggregate (45% for reserved category)

4 Years
Duration

Fee Structure
₹ 5,40,000 (View Details)

Programme OVERVIEW

The B.Tech CSIT (Computer Science and Information Technology) programme is an undergraduate degree programme to create computer professionals. It provides students with a strong foundation in both theoretical and practical aspects of computer science and technology that meets the requirement of the upcoming technologies. The B. Tech. CSIT(Computer Science and Information Technology) curriculum is outcome-based and it delivers the most advanced theoretical concepts and practical skills in the domain. By enrolling in this programme, students develop critical, innovative, and problem-solving abilities for a smooth transition from academia to the corporate world. In addition, students are trained in interdisciplinary topics and attitudinal skills to enhance their scope of work.

B. Tech CSIT (Computer Science and Information Technology) is a four-year undergraduate programme that provides the students an ability to design a hardware/software system, component, or process to meet desired needs within realistic constraints.

The programme is structured to cover various aspects of computer science and information technology, such as programming languages, algorithms, data structures, computer networks, databases, software engineering, operating systems, web development, artificial intelligence, cybersecurity, and cloud computing. The B.Tech CSIT program aims to equip students with the necessary skills and knowledge to analyse, design, and develop computer-based systems for solving complex problems. Students learn how to use various programming languages and tools, design and implement algorithms, work with computer networks and databases, develop web applications, and apply principles of software engineering to create robust and scalable software systems.

The programme often includes a mix of theoretical lectures, laboratory sessions, projects, and internships to provide students with practical exposure to real-world problems and industry requirements. It also focuses on developing problem-solving, critical thinking and teamwork skills, which are essential in the field of computer science and information technology.

Upon completion of the B. Tech CSIT programme, graduates can pursue careers in various industries such as software development, data analysis, cybersecurity, network administration, web development, and consulting. They can work in both public and private sectors or even start their own ventures. Also a student will be able to function on multi-disciplinary teams, formulate, and solve engineering problems and designing & comparing solutions, algorithms, and protocols. The programme lays emphasis on Digital Transformation Technologies that focus on building the mathematical and algorithmic concepts of the students.

Blackbuck

A unique and powerful suited for rigorous preparation and practice for placement through AI-Engine and analytics based app that plays the role of an advisor, planner and learning manager.

Nep 2020

Leading the charge in Odisha’s educational landscape by becoming the first university in the state to implement the National Education Policy (NEP) 2020 in its B.Tech program.

AI EmTech

A strong foundation in computer science with a focus on artificial intelligence, cloud computing, and algorithm design with state-of-the-art labs to complement the practical exercises and project work.

B. Tech – Artificial Intelligence and Machine Learning

  • First university in Odisha to implement NEP 2020
  • Skill enhancement, ability enhancement and Value-added Courses
  • Case-based Innovative teaching pedagogy
  • Experienced Faculty Members from industry, profession and academics
  • Mentor & Mentee practices to enhance student’s ability
  • Continuous evaluation pattern

Course Curriculum

FOR WHOM

  • Higher Secondary (+2/XIIth) Science or equivalent with minimum 50% marks in aggregate (45% for reserved category)
  • Three year Diploma in Engineering with minimum 50% marks in aggregate (45% for reserved category)
Eligibility Criteria

ELIGIBILITY

  • Higher Secondary (+2/XIIth) Science or equivalent with minimum 50% marks in aggregate (45% for reserved category)

OR

  • Three year Diploma in Engineering with minimum 50% marks in aggregate (45% for reserved category)

Semester - I

  • INTRODUCTION TO COMPUTER PROGRAMMING
  • PROGRAMMING LAB
  • APPLIED PHYSICS – I
  • APPLIED PHYSICS LAB – I
  • LINEAR ALGEBRA AND UNIVARIATE CALCULUS
  • ENGLISH FOR TECHNICAL WRITING
  • ENVIRONMENTAL STUDIES AND DISASTER MANAGEMENT
  • CONSTITUTION OF INDIA
  • DESIGN THINKING AND PROBLEM-SOLVING

Semester – II

  • DATA STRUCTURE
  • DATA STRUCTURE LAB
  • DISCRETE MATHEMATICS
  • APPLIED PHYSICS – II
  • APPLIED PHYSICS LAB – II
  • ORDINARY DIFFERENTIAL EQUATIONS
  • PRINCIPLES OF MANAGEMENT
  • INDIAN ETHOS AND VALUES
  • PYTHON PROGRAMMING

Semester – III

  • DATABASE SYSTEMS DEVELOPMENT
  • DATABASE SYSTEMS DEVELOPMENT LAB
  • OBJECT ORIENTED PROGRAMMING USING JAVA
  • JAVA PROGRAMMING LAB
  • PROBABILITY & STATISTICS
  • BUSINESS ECONOMICS
  • DIGITAL MARKETING
  • INTERNSHIP – I

Semester – IV

  • ALGORITHM ANALYSIS AND DESIGN
  • ALGORITHM ANALYSIS AND DESIGN LAB
  • ARTIFICIAL INTELLIGENCE
  • ARTIFICIAL INTELLIGENCE LAB
  • COMPUTER ARCHITECTURE AND ORGANIZATION
  • THEORY OF COMPUTATION
  • MANAGEMENT INFORMATION SYSTEM
  • ORGANISATIONAL BEHAVIOUR

Semester – V

  • MACHINE LEARNING
  • MACHINE LEARNING LAB
  • DATA COMMUNICATION AND COMPUTER NETWORKING
  • DATA COMMUNICATION AND COMPUTER NETWORKING LAB
  • MOOC COURSE (ANY ONE)
  • PROFESSIONAL COMMUNICATION
  • INTERNSHIP – II

Semester – VI

  • OPERATING SYSTEMS
  • OPERATING SYSTEMS LAB
  • DEEP LEARNING
  • DEEP LEARNING LAB
  • CYBERSECURITY
  • SOFTWARE ENGINEERING
  • OPERATIONS RESEARCH

Semester – VII

  • DATA ANALYTICS
  • DATA ANALYTICS LAB
  • COMPILER DESIGN
  • COMPILER DESIGN LAB
  • NATURAL LANGUAGE PROCESSING
  • OPTIMIZATION TECHNIQUES
  • ENTREPRENEURSHIP AND STARTUP ECOSYSTEM

Semester – VIII

  • ADVANCED MACHINE LEARNING
  • ADVANCED MACHINE LEARNING LAB
  • INTERNET OF THINGS
  • PROJECT WORK/DISSERTATION

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Faculty

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Dr. Biswajeet Pattanayak

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Dr. Ranjan Kumar Bal

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Dr. Douglas J. Gilbert

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Dr. Jyotirmaya Mahapatra

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Dr. Haradhan Das

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Dr. Sateesh Kumar Pradhan

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Dr. Surjya Kumar Mishra

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Dr. Eirene Leela

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Dr. Kalyan Shankar Ray

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Prof. Ananya Mishra

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Dr. Emily Pandey

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Dr. M. N. Samantaray

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Dr. Padmanava Mohapatra

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Dr. Phalgu Niranjana

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Dr. Premananda Ranasingh

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Dr. Ramakanta Mohanty

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Prof. Subrat Mohanty

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Dr. Niranjan Sahu

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Prof. Subrata Mohanty

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Dr. Smaraki Pattanayak

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Dr. Jibendu Kumar Mantri

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Dr. Rutuparna Dash

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Prof. Saroj Kumar Bishey

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Dr. Sanjeev Tripathy

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Dr. Ajit Kumar Sabat

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Prof. Arnab Sen

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Prof. Bani Bhusan Praharaj

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Prof. Asima Das

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Dr. Anita Swain

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Dr. Bani Prasad Mali

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Dr. Golakh Kumar Behera

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Dr. Diptimayee Samal

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Dr. Hari Narayan Sahu

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Dr. Jharasri Paikaray

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Dr. Prarthana Mishra

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Prof. Pratap Kumar Pati

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Prof. Priya Sharma

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Dr. J. Sai Mohini

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Dr. Jyotirmayee Mohanty

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Dr. Bhagaban Jayasingh

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Dr. Rupashree Sahoo

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Dr. Jibitesh Rath

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