B.Tech in Computer Science and Engineering (AI & ML)

Course Overview

B.Tech in Computer Science and Engineering (AI & ML)

The Department of Computer Science and Engineering offers a 4-year full-time B.Tech (UG) programme in Computer Science and Engineering (AI & ML) under the affiliation of Maulana Abul Kalam Azad University of Technology (MAKAUT), West Bengal (formerly West Bengal University of Technology, WBUT), and with the approval of the All India Council for Technical Education (AICTE),
delivering a rigorous blend of theoretical knowledge and hands-on practical training focused on Artificial Intelligence and Machine Learning.
The curriculum builds a rock-solid foundation through core engineering subjects including Data Structures; Algorithms, Operating Systems, Database Management Systems, Computer Networks, Software Engineering, Computer Architecture, Digital Electronics, Discrete Mathematics, and Theory of Computation, alongside specialized AI & ML modules.

Through strong industry tie-ups with global technology leaders like IBM, students gain in-demand, cutting-edge skills
including Python for AI, Data Science workflows, Machine Learning, Deep Learning, MLOps, Full Stack Development, JavaScript frameworks (Angular, React, Node.js), MongoDB, Tailwind CSS, Cloud Computing, and DevOps practices.
Learners benefit from live projects, industry mentorship, and real-world exposure that effectively bridge the Industry–Academia gap.
The B.Tech in CSE (AI & ML) opens doors to diverse career paths in Artificial Intelligence, Machine Learning Engineering, Data Science, Web and Software Development, Blockchain, Cloud Computing, Cybersecurity; Forensics, and System Architecture.
Graduates may also pursue postgraduate studies (M.Tech / MBA / MCA) or research-oriented careers in premier institutions nationwide.

Course Duration
4 Years

MAKAUT Affiliated B.Tech in CSE (AI & ML)

Affiliated To
MAKAUT

Approved By
AICTE

AICTE Approved B.Tech in CSE (AI & ML)

Intake
60 Only

Eligibility

To be eligible for the B.Tech in Computer Science and Engineering (AI & ML) programme, candidates must have completed 10+2 (Higher Secondary) with Physics, Chemistry, and Mathematics (PCM) as core subjects from a recognized board, with a minimum of 45% aggregate marks (40% for reserved category candidates as per MAKAUT norms). Admission is conducted through WBJEE / JEE Main counselling or direct merit-based admission as per institutional and MAKAUT guidelines.

Career Opportunities

Embark on a high-impact career path with a B.Tech in Computer Science and Engineering (AI & ML) degree, unlocking a world of limitless possibilities in the global technology landscape. From software engineering and cloud architecture to artificial intelligence and cybersecurity, this programme equips you with industry-relevant skills, hands-on project experience, and the technical depth to thrive in the ever-evolving IT industry. Build a future-proof career with diverse opportunities, competitive salaries, and the power to drive meaningful technological innovation.

After completing the B.Tech in CSE (AI & ML) course at Kingston, a student can opt for the following opportunities:

Software Engineer

Software Engineer – B.Tech in CSE (AI & ML) Career

Full Stack Developer

Full Stack Developer – B.Tech in CSE (AI & ML) Career

AI / ML Engineer

AI ML Engineer – B.Tech in CSE (AI & ML) Career

Cyber Security Analyst

Cyber Security Analyst – B.Tech in CSE (AI & ML) Career

Cloud Architect

Cloud Architect – B.Tech in CSE (AI & ML) Career

Data Scientist

Data Scientist – B.Tech in CSE (AI & ML) Career

DevOps Engineer

DevOps Engineer – B.Tech in CSE (AI & ML) Career

Database Administrator

Database Administrator – B.Tech in CSE (AI & ML) Career

IT Consultant

IT Consultant – B.Tech in CSE (AI & ML) Career

Systems Analyst

Systems Analyst – B.Tech in CSE (AI & ML) Career

Semester 1

• Physics-I
• Mathematics-IA
• Basic Electrical Engineering
• Physics-I Lab
• Basic Electrical Engineering Lab
• Workshop / Manufacturing Practices

Semester 2

• Chemistry-I
• Mathematics-IIA
• Programming for Problem Solving
• English
• Chemistry-I Lab
• Programming for Problem Solving Lab
• Engineering Graphics & Design
• Language Laboratory

Semester 3

• Analog & Digital Electronics
• Data Structures & Algorithms
• Computer Organization
• Linear Algebra
• Economics for Engineers
• Data Structures & Algorithms Lab
• Analog & Digital Electronics Lab
• Computer Organization Lab
• IT Workshop (Python I)

Semester 4

• Discrete Mathematics
• Artificial Intelligence
• Optimization Techniques
• Design & Analysis of Algorithms
• Biology
• Environmental Science
• Artificial Intelligence Lab
• DAA Lab
• Python II / R Programming Lab

Semester 5

• Probability & Statistics
• Operating System
• Object Oriented Programming
• Introduction to Machine Learning
• Intro to Industrial Management
• Professional Elective: Cloud Computing / Pattern Recognition / Graph Theory
• Operating System Lab
• OOP & Java Lab
• Machine Learning Lab

Semester 6

• Machine Learning Applications
• Deep Learning
• Soft Computing
• Computer Networks
• Professional Elective: Big Data Analytics / Data Mining / Distributed System / Game Theory
• Open Elective: DBMS / HCI / Neural Networks / Cryptography & Network Security
• Machine Learning Applications Lab
• Soft Computing Lab
• Computer Networks Lab

Semester 7

• Professional Elective 1: Social Network Analysis / Computer Vision / Quantum Computing / Multi-Agent Intelligent System
• Professional Elective 2: E-Commerce & ERP / Information Theory & Coding / CAD / Digital Signal Processing
• Open Elective: IoT / Bio Informatics / Robotics / Compiler Design
• Project Management & Entrepreneurship
• Project I

Semester 8

• Professional Elective: NLP / Cyber Law & Ethics / Mobile Computing
• Open Elective 1: Economic Policies in India / Microelectronics & VLSI / Software Engineering
• Open Elective 2: Org Behaviour / Research Methodology / Soft Skills
• Project II

Industry Training in Association with IBM Inc.

At Kingston Educational Institute, we believe that true learning happens when knowledge meets real-world application. To bring this vision to life, our B.Tech Computer Science and Engineering (AI & ML) students actively participate in special industry training programmes conducted in association with IBM. — one of the world’s most respected technology corporations — equipping them with skills that the modern IT industry demands.
These sessions go far beyond conventional classroom lectures. Students get to learn directly from IBM-certified industry experts and technology practitioners, gaining hands-on exposure to Full Stack Development, Cloud Computing, DevOps, Artificial Intelligence, React JS, Node JS, MongoDB and other cutting-edge technologies that define today’s software landscape.
From understanding enterprise-grade software development practices to working on live projects and real-world problem statements, the training empowers students to bridge the gap between academic learning and industry expectations. It opens pathways to careers in top IT companies, product-based firms, global tech giants and innovative startups across the world.
The training programmes are highly interactive, project-driven and mentorship-focused — filled with technical deep-dives, career guidance and one-on-one interactions with industry professionals. For many students, it is a transformative experience — not just in terms of technical skills, but in building the confidence, mindset and industry readiness to thrive in a competitive global tech environment.

Training & Industry Partners

At Kingston College Of Advanced Engineering and Management, we believe that academic excellence must be complemented by real-world industry exposure. Our B.Tech in Computer Science and Engineering (AI & ML) programme is proudly backed by a powerful network of globally recognised industry and academic partners, ensuring our students receive cutting-edge technical training, internationally benchmarked certifications, and direct access to industry mentorship. These strategic collaborations bridge the gap between classroom learning and professional practice, preparing our graduates to compete and excel on a global stage.

Our B.Tech in CSE (AI & ML) students benefit from training and partnerships with the following organisations:

IBM

IBM Industry Training Partner – B.Tech in CSE (AI & ML) Kingston

CISCO

Cisco Networking Academy Partner – B.Tech in CSE (AI & ML) Kingston

CII

Confederation of Indian Industry CII Partner – Kingston

NASSCOM

NASSCOM Industry Partner – B.Tech in CSE (AI & ML) Kingston

University of Cambridge

University of Cambridge Academic Partner – Kingston

B.Tech in Computer Science and Engineering (AI & ML)

Course Overview