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B.Tech in CSE with Specialization in Artificial Intelligence and Machine Learning

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    B.Tech in CSE with Specialization in Artificial Intelligence and Machine Learning

    Computer Science and Engineering seem to have become the most popular course in this century for engineering aspirants. Currently, B.Tech Computer Science Engineering is one of the top courses in India that attract lakhs of students every year. B.Tech Computer Science and Engineering at The Neotia University (TNU) is designed with specializations in several important and emerging areas such as Cyber Security, Data Science, Artificial Intelligence (AI), and Machine Learning (ML) that will help students to gain knowledge and become industry ready for jobs in top Corporates. The curriculum structure is designed by the academicians from Indian Statistical Institute (ISI), Jadavpur University, University of Calcutta, and industrial experts from Tata Consultancy Services (TCS), Centre for Development of Advanced Computing (CDAC). The state-of-the-art Computer Labs are well-equipped with advanced software. Internship and Industrial visit is part of the Curriculum. Students are encouraged to publish journals and articles regularly on National and International platforms.

    AI has now penetrated all the horizons of the service sector. There is rarely any field, which is untouched by Artificial Intelligence, and it is the life force behind groundbreaking digital technologies and innovations. This specialization is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning and visualization technologies.

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    Eligibility Criteria

    Physics + Mathematics (mandatory) and Chem / CS / CA / BioTech / Biology / Technical Vocational OR 3 years Diploma Engineering with a minimum 60% marks

    Top Recruiters, Highest Salary

    9 Companies

    Campus Recruitment for AI & ML

    100%

    Placement

    3.5 Lakhs / Annum

    Average Salary Received

    7.0 Lakhs / Annum

    Highest Salary Received

    100%

    Internship

    10 Companies

    Offered for Internship

    Curriculum / Syllabus

    • Semester 1
    • Semester 2
    • Semester 3
    • Semester 4
    • Semester 5
    • Semester 6
    • Semester 7
    • Semester 8

    Semester 1

    SL. NO. COURSE NAME CODE CREDIT HOURS L T P
    THEORY
    1 Engineering Mathematics – I CSEL20102MJ 3 45 3 0 0
    2 Introduction to AI CSEL20101AM 4 60 4 0 0
    3 Programming for Problem Solving CSEL20101MJ 2 30 2 0 0
    4 Basic Electrical and Electronics Engineering CSEL20103MJ 2 30 2 0 0
    5 Fundamentals of Cyber Security CSEL20101MN(CS) 4 60 4 0 0
    6 English Language and Personality
    Development – Theory     		TNUL10101AE 1 15 1 0 0
    7 GENERAL ELECTIVE GES 2 30 2 0 0
    8 Skill Enhancement Course SE-CSE101 1 15 1 0 0
    9 Constitution of India – I LBL10101VA 2 30 2 0 0
    PRACTICAL
    10 Programming for Problem Solving Lab CSEP20101MJ 2 60 0 0 4
    11 Basic Electrical and Electronics Engineering Lab CSEP20103MJ 2 60 0 0 4
    12 English Language and Personality
    Development Lab     		TNUP10101AE 1 30 0 0 2
    TOTAL 26 465 21 0 10

    Semester 2

    SL. NO. COURSE NAME CODE CREDIT HOURS L T P
    THEORY
    1 Engineering Mathematics-II CSEL30201MJ 3 45 3 0 0
    2 Engineering Physics CSEL20202MJ 3 45 3 0 0
    3 Probability and Statistics with R CSEL20203MJ 2 30 2 0 0
    4 Principal of Robotics CSEL20202MN-RA 2 30 2 0 0
    5 General Elective GES 2 30 2 0 0
    6 English Language and Personality
    Development – Theory     		AE-ENL 201 1 15 1 0 0
    7 Constitution of India (Advanced) 2 30 2 0 0
    8 Data Visualization with PowerBI SE-CSE 201 2 30 2 0 0
    PRACTICAL
    9 Engineering Physics Lab CSEP20202MJ 2 60 0 0 4
    10 Probability and Statistics with R Lab CSEP20203MJ 1 15 0 0 2
    11 Principal of Robotics Lab CSEP20202MN-RA 2 30 0 0 4
    12 English Language and Personality
    Development Lab     		AE-ENP 201 1 15 0 0 2
    TOTAL 23 375 17 0 10

    Semester 3

    SL. NO. COURSE NAME CODE CREDIT HOURS L T P
    THEORY
    1 Data Structure and Algorithms CSEL30301MJ 3 45 3 0 0
    2 Programming with Python CSEL30302MJ 2 30 2 0 0
    3 Machine Learning CSEL20303MJ 3 45 3 0 0
    4 Optimization Techniques CSEL30304MJ 2 30 2 0 0
    5 Cyber-crime Investigations and Forensics CSEL020303MN-CS 2 30 2 0 0
    6 General Electives GES 2 30 2 0 0
    7 English Language & Soft Skills
    – Theory     		TNUL10301AE 1 15 1 0 0
    8 GENDER SENSITIZATION-I SHMSS-VAS-01A 2 30 2 0 0
    9 Introduction to Blockchain Technology SE-CSE301 1 15 1 0 0
    PRACTICAL
    10 Data Structure and Algorithms Lab CSEP30301MJ 2 60 0 0 4
    11 Programming with Python Lab CSEP30302MJ 2 60 0 0 4
    12 Cyber-crime Investigations and Forensics Lab CSEP020303MN-CS 2 60 0 0 4
    13 English Language & Soft Skills
    Lab     		TNUP10301AE 1 30 0 0 2
    14 Summer Internship SI-CSE 301 2 60 0 0 4
    TOTAL 27 540 18 0 16

    Semester 4

    SL. NO. COURSE NAME CODE CREDIT HOURS L T P
    THEORY
    1 Advanced Machine Learning CSEL30401MJ 3 45 3 0 0
    2 Computer Organization & Architecture CSEL30402MJ 3 45 3 0 0
    3 Object Oriented Programming CSEL30403MJ 3 45 3 0 0
    4 Embedded Systems and Security CSEL20404MN-CS 2 30 2 0 0
    5 GE – Paper GES 2 30 2 0 0
    6 English Language and Soft Skills
    – Theory     		AE-ENL 201 1 15 1 0 0
    7 Bigdata Hadoop/Spark SE-CSE 201 2 0 2 0
    8 Gender Sensitization II SHMSS-VAS-02A 2 30 2 0 0
    PRACTICAL
    9 Advanced Machine Learning Lab CSEP30401MJ 2 60 0 0 4
    10 Computer Organization & Architecture Lab CSEP30402MJ 2 60 0 0 4
    11 Object Oriented Programming Lab CSEP30403MJ 2 60 0 0 4
    12 Embedded Systems and Security Lab CSEP20404MN-CS 2 60 0 0 4
    13 English Language and Soft Skills
    Lab     		AE-ENP 201 1 15 0 0 2
    TOTAL 27 495 18 0 16

    Semester 5

    SL. NO. COURSE NAME CODE CREDIT HOURS L T P
    THEORY
    1 Database Management System CSEL30501MJ 3 45 3 0 0
    2 Operating System CSEL30502MJ 3 45 3 0 0
    3 Design and Analysis of Algorithms CSEL30503MJ 3 45 3 0 0
    4 Security & Emerging Technologies CSEL30505MN-CS 2 30 2 0 0
    5 GE – Paper GES 2 30 2 0 0
    6 English Language & Soft Skills TNUL10501AE 2 30 2 0 0
    7 Critical Thinking & Logical Reasoning-I TNUL10501VA 1 15 1 0 0
    PRACTICAL
    8 Database Management System Lab CSEP30501MJ 2 60 0 0 4
    9 Operating System Lab CSEP30502MJ 2 60 0 0 4
    10 Design and Analysis of Algorithms Lab CSEP30503MJ 2 60 0 0 4
    11 Security & Emerging Technologies Lab CSEP30505MN-CS 2 30 0 0 4
    12 English Language & Soft Skills Lab TNUP10501AE 1 15 0 0 2
    13 Summer Internship SI-CSE 501 3 90 0 0 6
    TOTAL 28 555 16 0 24

    Semester 6

    SL. NO. COURSE NAME CODE CREDIT HOURS L T P
    THEORY
    1 Computer Networks CSEL30601MJ 3 45 3 0 0
    2 Cryptography CSEL40606MN-CS 2 45 2 0 0
    3 Image Processing CSEL30602MJ 3 3 0 0
    4 GE – Paper GES 2 45 2 0 0
    5 English Language & Soft Skills TNUL10601AE 1 45 1 0 0
    6 Critical Thinking & Logical Reasoning-II VA-TNUEL003 2 45 2 0 0
    7 Certification Course and Assessment SE-CSE 601 2 30 0 0 0
    8 Pipeline Project – Phase I PW-CSE-601 2 30 0 0 4
    PRACTICAL
    9 Computer Networks Lab CSEP30601MJ 2 60 0 0 4
    10 Cryptography Lab CSEP40606MN-CS 2 60 0 0 4
    11 Image Processing Lab CSEP40602MJ 2 60 0 0 4
    12 English Language & Soft Skills Lab TNUP10601AE 1 60 0 0 2
    TOTAL 24 525 11 2 10

    Semester 7

    SL. NO. COURSE NAME CODE CREDIT HOURS L T P
    THEORY
    1 Deep Learning CSEL40703MJ 3 45 3 0 0
    2 Unsupervised Learning CSEL30702MJ 3 45 3 0 0
    3 Software Engineering & Project Management CSE20701MJ 2 45 2 0 0
    4 Application Security & Auditing CSEL40707MN-CS 2 30 2 0 0
    PRACTICAL
    5 Deep Learning Lab CSEP40703MJ 2 60 0 0 4
    6 Unsupervised Learning Lab CSEP30702MJ 2 60 0 0 4
    7 Application Security & Auditing Lab CSEP40707MN-CS 2 60 0 0 4
    8 Pipeline Project – Phase II PW-CSE-701 2 60 0 0 4
    9 Summer Internship – 3 SI-CSE 701 2 60 0 0 4
    TOTAL 18 405 10 0 16

    Semester 8

    SL. NO. COURSE NAME CODE CREDIT HOURS L T P
    THEORY
    1 Natural Language Processing CSEL40802MJ 3 45 3 0 0
    2 Multivariate Analysis & Timeseries Forecasting CSEL40801MJ 3 45 3 0 0
    3 Internet of Things CSEL50808MN-RA 2 30 2 0 0
    PRACTICAL
    4 Natural Language Processing Lab CSEP50801AM 2 60 0 0 4
    5 Multivariate Analysis & Timeseries Forecasting Lab CSEP40801MJ 2 60 0 0 4
    6 Internet of Things Lab CSEP50808MN-RA 2 60 0 0 4
    7 Project III PW-CSE-801 12 360 0 0 24
    8 Grand Viva MC – CSES801 3 90 0 0 6
    TOTAL 29 750 8 0 42

    Lab Setup

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    Computer lab with software like Kali Linus, VMWare, Open IAM, Vulnerability scanners, NsLookUP, R, Oracle , Hadoop, Sikuli are provided.

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    Program Educational Objective

    • PO1 Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
    • PO2 Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
    • PO1 Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
    • PO2 Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
    • PO3 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.
    • PO4 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.
    • PO5 Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
    • PO6 The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
    • PO7 Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
    • PO8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
    • PO9 Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
    • PO10 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.
    • PO11 Project Management and Finance: Demonstrate knowledge and 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.
    • PO12 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

    • PSO1 The ability to understand, analyze and demonstrate the knowledge of human cognition, Artificial Intelligence, Machine Learning and data engineering in terms of real world problems to meet the challenges of the future.
    • PSO2 Investigate social, environment, ethical and economic feasibility of an IT solution to a complex composite problem in terms of long-term impact and sustainability of every intricate application.
    • PSO3 Keep pace with fast changing technology like Artificial Intelligence, Machine Learning, Deep learning, NLP, Cloud Computing, Computer vision and Pattern Recognition and adapt to new AI tools, systems and applications and manage challenging IT projects.

    Industry-Focused Curriculum – The curriculum integrates cutting-edge AI & ML technologies with core computer science concepts, preparing students for industry demands. The courses are updated on a regular basis jointly by industry veterans and renowned academicians.

    • Hands-on Learning – Emphasis on real-world applications through case studies, live projects, internships, and industry collaborations.
    • State-of-the-Art Labs – Equipped with modern computing infrastructure and AI research tools for advanced learning.

    Industry-Focused Curriculum – The curriculum integrates cutting-edge AI & ML technologies with core computer science concepts, preparing students for industry demands. The courses are updated on a regular basis jointly by industry veterans and renowned academicians.

    • Hands-on Learning – Emphasis on real-world applications through case studies, live projects, internships, and industry collaborations.
    • State-of-the-Art Labs – Equipped with modern computing infrastructure and AI research tools for advanced learning.
    • Expert Faculty & Industry Collaboration – Faculty with research and industry experience, along with collaborations with AI-driven companies and startups.
    • Interdisciplinary Approach – The curriculum blends AI with data science, robotics, cyber security, biotechnology, environmental science, agriculture and many more to develop holistic technical skills.
    • Career Opportunities & Placements – Strong placement support with opportunities in AI, ML, data science, automation, and software engineering roles.
    • Research & Innovation – Encourages students to work on AI-driven research projects, patents, and publications under expert guidance.
    • Entrepreneurship & Startups – Provides mentorship and incubation support for students interested in launching AI-based startups.

    Fee Structure

    Courses Offered Fee Per Semester (A) (Rs.) One Time Fee (B) (Rs.) 1st Semester Fee (A+B) (Rs.) No. of Semester Total Course Fee (Rs.) 7th & 8th Semester – Exam Fee for OJT/RW (Rs.)
    B.Tech in CSE with Specialization in Artificial Intelligence and Machine Learning 65,000 29,000 94,000 8 5,49,000 –

    Modes of Payment

    ‘The Neotia University’

    Bank of Baroda
    A/C No. 6595020000033
    IFSC Code : BARB0VJOKOL
    Branch : SME Branch, Kolkata-700001

    Students can make the payment of Fee by following modes

    • 1. Demand Draft in the name of
      The Neotia University
    • 2. Cheque in the name of
      The Neotia University
    • 3. Online Payment of
      The Neotia University website

    Scholarships

    Scholarship / Sponsorship Criteria for India, Nepal, Bhutan & Bangladesh Students Admission
    for the Session 2026-27 at THE NEOTIA UNIVERSITY (TNU), W.B. for UG and Lateral Entry Courses
    SL NO. TYPE OF SCHOLARSHIP CLASS XII % or Equivalent % TERMS AND CONDITIONS PERCENTAGE (%) OF SCHOLARSHIP ON TUITION FEE
    1 CHANCELLOR’S SCHOLARSHIP – i) Yearly Family income should be less than 2.5 Lakhs
    ii) Interview and document verification will be done by an empowered committee    		 50% TO 100%
    2 GRAMOTTHAN SCHOLARSHIP
    (Students from Gram Panchayat area of South 24 Parganas)    		 >= 65% Yearly Family Income less than 5.0 Lakhs** 25%
    3 SPECIAL HILL STUDENTS’ SCHOLARSHIP
    [Students from GTA Area (W.B), North-East States, Andaman and Nicobar Islands, Nepal & Bhutan]    		 >= 65% Yearly Family Income less than 5.0 Lakhs** 25%
    4 SAHODARYA SCHOLARSHIP
    (Siblings of all students – present or passed out)    		 >= 60% ANY 25%
    5 MERE APNE SCHOLARSHIP
    (For Ambuja Neotia Group employees – in memory of Late Vinod Kumar Neotia)    		 >= 60% Yearly Family Income less than 5.0 Lakhs** 25%
    6 SPORTS SCHOLARSHIP >= 60% STATE / NATIONAL LEVEL PARTICIPANT / CHAMPION 25%
    7 CULTURAL SCHOLARSHIP >= 60% STATE / NATIONAL LEVEL PARTICIPANT / CHAMPION 25%

    Residential Facilities

    The University is equipped with avant-garde Infrastructure. We offer a rather impressive array of facilities viz smart classrooms, modern laboratories, conference and seminar halls, Wi-Fi enabled campus, a high-tech Learning Resource Centre, state-of-the-art IT Centre, clean and airy student residences, mess serving wholesome meals, indoor and outdoor sport facilities including a plush new gymnasium with latest equipments. Campus Banking Facilities, Doctor-on-call and Hospital Linkages are also available to enhance the student’s convenience.

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    Dining and Housing

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    Swimming Pool

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    Gymnasium

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    Health and Wellbeing

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    Ragging Free Campus

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    How to Apply

    Step 1

    Sign up /Fill up the Application Form

    Step 2

    Appear for Admission Entrance Test

    Step 3

    Test Results

    Step 4

    Provisional Admission

    Step 5

    Final Admission

    Step 1:

    Sign up /Fill up the Application Form

    The student must first complete the Registration/Enquiry Form via the TNU website (www.tnu.in) or any other online platform that provides access to the TNU Registration/Enquiry link. Upon submitting the Registration Form, the student will receive a link via email, SMS, or WhatsApp to complete the Application Form. The Admission Counsellor at TNU will assist in filling out the form. Upon submission, a unique application number will be assigned to the student.

    Step 2:

    Appear for Admission Entrance Test

    All undergraduate course applicants are required to take an admission entrance examination. Once the Application Form is submitted, the Admission Test option will become available on the Student Dashboard. By selecting this link, students can complete the test at their convenience from any location. Students applying for lateral entry into postgraduate courses are exempt from this test. A distinct admission test will be organized for PhD candidates.

    Step 3:

    Test Results

    Within 24 hrs. of Admisison Test, the test results will be available at student’s Dashboard. 40% is the qualifying marks for the test.

    Step 4:

    Provisional Admission

    Following the submission of the Application Form, if the student successfully passes the entrance examination, they may secure provisional admission in their chosen and available course by remitting a fee of Rs.10,000/-. The payment procedure and link are provided above. Upon completion of the payment via TNU’s Payment Gateway, a receipt will be generated and can be accessed on the student’s Dashboard.

    Step 5:

    Final Admission

    After students receive their H.S (10+2) marks and meet TNU’s eligibility requirements for a specific course, they may secure final admission by remitting the outstanding balance of the first semester fee. Once the final admission fee is paid, a UID number will be generated for the student, allowing them to attend classes. The provisional start date for classes is set for August 1, 2025.

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    Important Dates

    Online Registration Starts From Started from January 2026
    Provisional Admission Started from January 2026
    Entrance Examination Date March 2026 to July 2026
    Declare of Test Results Within 24 hours of appearing the test
    Last date of Admission *The final date for Admissions will be as per UGC Guidelines.

    FAQs

    What is the qualifying criteria to take admission?

    Physics + Mathematics (mandatory) and Chem / CS / CA / BioTech / Biology / Technical Vocational OR 3 years Diploma Engineering

    Yes, University has their own entrance exam.

    Admission fees-29000/- + Semester fees-65000/-

    No other fees required.

    Yes. All concerned approval and recognised and enlisted.

    Yes. We have good number of faculty members. Currently there there are more than 12 dedicated faculty members serving for School of Science & Technology, apart from that there are visiting faculties.

    Yes. Starting from 25% to 100% depending on the eligibility.

    TNU have got a good placement record. Starting from the 1st year the students will be going for the internships for training and certifications with the MNC’s.

    Student need to fill up online application form (Under Graduate form) by paying Rs.500/-

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