AKTU MCA · AI SPECIALIZATION

MCA · AI

MCA with Artificial Intelligence

A two-year AKTU-approved postgraduate program combining computer science fundamentals with deep learning, NLP, computer vision, and applied AI.

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Duration2 Years · 4 Semesters
SpecializationAI · Value-Added
ApprovedAICTE, New Delhi
AffiliatedAKTU, Lucknow

ABOUT THE PROGRAMME

An MCA with depth in Artificial Intelligence — built for the next wave of computing.

MCA with Artificial Intelligence is an advanced postgraduate course designed to provide in-depth knowledge and skills in AI — including machine learning, deep learning, natural language processing, computer vision, and robotics. The programme is aimed at individuals with a background in computer science, engineering, or related fields who wish to advance their expertise in AI and its practical applications.

It is a two-year professional postgraduate program approved by AKTU, blending theoretical and practical training. Lectures, presentations, seminars, workshops, laboratory sessions, and project work develop conceptual, analytical, and decision-making skills. Continuous evaluation — assignments, presentations, software experimentation, tests, quizzes, midterm and semester-end examinations — maintains the highest academic standard across theory and practice. Project implementation includes requirement gathering, system analysis, design, and a final presentation to expert evaluators.

AI robot analyzing data with neon futuristic interface

VALUE-ADDED MODULES (AKTU)

Seven modules and four advanced topics — the AI stack as it's hiring today.

Value-Added Modules

Machine Learning
Data Science & Analytics
Natural Language Processing (NLP)
Computer Vision
Robotics and Automation
AI Ethics & Policy
AI in Business & Industry

Advanced Topics

Reinforcement Learning
Generative Models (e.g., GANs)
AI for Cybersecurity
Edge AI

COURSE STRUCTURE (AKTU)

Four semesters. Core foundations, then electives.

Semester I

Subject Code	Subject Name
BMC101	Fundamental of Computers & Emerging Technologies
BMC102	Problem Solving using C
BMC103	Principles of Management & Communication
BMC104	Discrete Mathematics
BMC105	Computer Organization & Architecture
BMC151	Problem Solving using C (Lab)
BMC152	Computer Organization & Architecture (Lab)
BMC153	Professional Communication (Lab)
BMC106	Cyber Security*

Semester II

Subject Code	Subject Name
BMC201	Web Technology
BMC202	Object Oriented Programming
BMC203	Operating Systems
BMC204	Database Management Systems
BMC205	Data Structures & Analysis of Algorithms
BMC251	Web Technology (Lab)
BMC252	Object Oriented Programming (Lab)
BMC253	DBMS (Lab)
BMC254	Data Structures & Analysis of Algorithms (Lab)
BVA251	Sports and Yoga**

Semester III

Subject Code	Subject Name
KCA301	Artificial Intelligence
KCA302	Software Engineering
KCA303	Computer Network
—	Elective – 1
—	Elective – 2
KCA351	Artificial Intelligence Lab
KCA352	Software Engineering Lab
KCA353	Mini Project**

Elective 1

Subject Code	Subject Name
KCA011	Cryptography & Network Security
KCA012	Data Warehousing & Data Mining
KCA013	Software Project Management
KCA014	Cloud Computing
KCA015	Compiler Design

Elective 2

Subject Code	Subject Name
KCA021	Web Technology
KCA022	Big Data
KCA023	Simulation & Modeling
KCA024	Software Testing & Quality Assurance
KCA025	Digital Image Processing

Semester IV

Subject Code	Subject Name
—	Elective – 3
—	Elective – 4
—	Elective – 5
KCA451	Project

Elective 3

Subject Code	Subject Name
KCA031	Privacy & Security in Online Social Media
KCA032	Soft Computing
KCA033	Pattern Recognition
KCA034	Data Analytics
KCA035	Software Quality Engineering

Elective 4

Subject Code	Subject Name
KCA041	Blockchain Architecture
KCA042	Neural Network
KCA043	Internet of Things
KCA044	Modern Application Development
KCA045	Distributed Database Systems

Elective 5

Subject Code	Subject Name
KCA051	Mobile Computing
KCA052	Computer Graphics and Animation
KCA053	Natural Language Processing
KCA054	Machine Learning
KCA055	Quantum Computing

CAREER DEVELOPMENT & PLACEMENT CELL

The CDPC keeps corporates close — and students ready.

IAMR has been in the forefront of activities by bringing corporates and companies closer to the campus, and encouraging them to establish facilities that cater to the needs of students.

The Career Development & Placement Cell enhances employability through specialized training in aptitude, analytical, language, technical, and business skills — plus online mock tests. Sessions are run by in-house faculty and professional trainers from the corporate world. The CDPC also organizes internship sessions before students join their respective industry — a preliminary exposure to what comes next.

ELIGIBILITY & DURATION

Two years, four semesters, blended theory + practice.

Eligibility

Candidates must have passed a bachelor's degree of minimum three years duration from any recognized university with Mathematics as a subject at 10+2 level or graduate level. The candidate must have passed without grace marks with an aggregate of minimum 50% marks (45% for SC/ST).

A candidate shall have passed the qualifying examination of B.C.A. / B.Sc. (CS) / B.Sc. (IT) / B.E.(CSE) / B.Tech.(CSE) / B.E.(IT) / B.Tech.(IT) — or any equivalent graduation (B.E., B.Tech., B.Sc., B.Com., B.A., B.Voc.) preferably with Mathematics, Business Mathematics, or Statistics at 10+2 or graduation level.

Duration

Two years across four semesters. Semesters 2, 3, and 4 include practical sessions. The programme combines practical and theoretical knowledge — students gain a deep understanding of software development, programming languages, database management, and computer networks.

Practical and theoretical training
Industrial training is a mandatory part
Best skill set for students with a knack for computer applications