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MCA · AI & ML · PG PROGRAMME

Master The Future Of
Artificial Intelligence

Build advanced expertise in artificial intelligence, machine learning, data science, and intelligent computing. Develop the skills to design, train, and deploy AI-driven solutions for the technology-driven world.

2-YEAR PG PROGRAMME
AI & MACHINE LEARNING SPECIALISATION
INDUSTRY-RECOGNISED CERTIFICATIONS
MCA
MCA
AI & Machine Learning
School of Computer Applications

Where Technology Meets
Intelligent Innovation

The MCA in Artificial Intelligence & Machine Learning at Tulas is built for students who want to engineer the intelligence behind tomorrow's technology.

The programme combines advanced computer science with deep AI specialisation — covering machine learning, deep learning, generative AI, natural language processing, computer vision, MLOps, and cloud AI architecture. Students build real AI systems through live projects, research publications, and industry internships, graduating as AI engineers ready to lead in any technology environment.

The future belongs to those who can build intelligence into machines.
Specialization Areas

Five AI Specializations, One Powerful
Technology Core

Each specialization is built on strong computer science and AI fundamentals, enhanced through research-driven, project-based learning across every semester.
Core AreaCore · Machine Learning

Design and train intelligent models that learn from data to predict, classify, and optimise decisions at scale.

Supervised LearningScikit-LearnModel Evaluation
Core AreaHigh Demand · Deep Learning

Build neural networks and transformer architectures that power image recognition, NLP, and autonomous systems.

TensorFlowPyTorchNeural Networks
Core AreaFuture Ready · Generative AI & LLMs

Develop AI applications using large language models, prompt engineering, RAG pipelines, and AI agents.

LangChainHugging FaceRAG & Agents
Core AreaIndustry Ready · Computer Vision

Create intelligent systems that detect, classify, and understand visual information from images and video streams.

OpenCVCNNsObject Detection
Core AreaEssential Skill · MLOps & Cloud AI

Deploy, monitor, and scale machine learning models in production using cloud platforms and modern DevOps practices.

AWS SageMakerDockerCI/CD for ML

Built on Computer Science Foundations

Algorithms · Data Structures · Software Engineering · AI · Research · Cloud

Core Learning Areas
Python for AI
Machine Learning
Deep Learning
Neural Networks
Natural Language Processing
Computer Vision
Generative AI
Large Language Models
LangChain
Hugging Face
TensorFlow
PyTorch
MLOps
Cloud AI
Vector Databases
AI Research
AI-Integrated MCA Curriculum
Emerging Technologies
AI-Integrated Curriculum
AI-Integrated Curriculum

AI Isn't a Subject.
It's Your Entire Curriculum.

Every semester immerses students in modern AI technologies — from foundational machine learning to large language models, intelligent automation and production-ready AI deployment. Students graduate with practical expertise in developing scalable AI solutions for enterprises, startups and research organizations.
Machine Learning
Deep Learning
Generative AI
Large Language Models
LangChain
Hugging Face
TensorFlow
PyTorch
Computer Vision
MLOps
Cloud AI
Vector Databases
01

Semester 1

Advanced Programming · Mathematics for AI · Python · Data Engineering

02

Semester 2

Machine Learning · Deep Learning · Computer Vision · NLP

03

Semester 3

Generative AI · AI Agents · MLOps · Cloud AI · Research Project

04

Semester 4

Industry Internship · Capstone · AI Product Development

Practical Learning

Certifications
& Projects

Beyond the degree — globally recognized certifications, real projects, and continuous industry exposure that make graduates job-ready.

Industry Certifications

Flagship Association
IIT Kanpur E&ICT Academy Certifications
Premier certifications backed by IIT Kanpur's Electronics & ICT Academy — adding national credibility to your skill set.
CEH (EC-Council)
Certified Ethical Hacker
CompTIA Security+
Security fundamentals
AWS
Cloud security tracks
Cisco
CCNA & network security
Microsoft
Azure security
Python
Security automation

Hands-On Learning

01Capture The Flag
02Penetration Testing Labs
03Security Hackathons
04Vulnerability Research
05SOC Simulations
06Bug Bounty Programs
MCA Artificial Intelligence & Machine Learning · Academic Framework

Program Details

Program USPs

Program USPs

Build Real AI Systems — Work on live AI projects, research publications, AI hackathons, Kaggle competitions, and a final AI product capstone.

AI-First Curriculum Architecture — Every semester is built around AI — from foundational ML to Generative AI, LLMs, MLOps, and cloud-native AI deployment.

Integrated Placement Preparation — Prepare for campus recruitment through AI aptitude training, coding challenges, industry AI projects, and interview readiness.

Learn from AI Industry Experts — Interact with AI researchers, ML engineers, and technology leaders through expert sessions, guest lectures, and mentorship.

Research & Innovation Focus — Conduct AI research, publish papers, and build innovative AI products through structured research projects and industry collaborations.

AI-Native Learning via LEAP — Use LEAP, our AI-native learning platform, to personalize your learning journey and continuously track your progress.

AI Hackathons & Competitions — Participate in national AI hackathons, Kaggle competitions, and innovation challenges to build a strong competitive portfolio.

Entrepreneurship & AI Ventures — Develop an entrepreneurial mindset to identify AI opportunities, build intelligent products, and launch technology ventures.

Life Skills & Professional Growth — Develop workplace communication, ethical AI practices, business awareness, and career readiness aligned with NEP 2020.

Industry Certifications Across 2 Years — Graduate with certifications from AWS, Google Cloud, Microsoft Azure, NVIDIA, Hugging Face, and other leading AI technology partners.

Fee
Structure

ABCDEFG
1
2
All IndiaHeadsBelow 60%(Graduation Aggregate%)
60-70%
(4th Category)
Graduation Aggregate%)
71-80%
(3rd Category)
(Graduation Aggregate%)
81-90%
(2nd Category)
(Graduation Aggregate%)
91% Above
(1st Category)
3
I Year
4
Tuition Fee5200052000520005200052000
5
Students Diversity Scholarship
12,50012,50012,50012,50012,500
6
Merit Scholarship02,5005,0007,50010,000
7
Tuition fee after scholarship39,50037,00034,50032,00029,500
8
Development Fee7,8007,8007,8007,8007,800
9
Examination Fee17,50017,50017,50017,50017,500
10
Other Fee91259125912591259125
11
Total I Semester Fee73,92571,42568,92566,42563,925
12
II Semester
13
Tuition Fee5200052000520005200052000
14
Students Diversity Scholarship
12,50012,50012,50012,50012,500
15
Merit Scholarship02,5005,0007,50010,000
16
Tuition fee after scholarship39,50037,00034,50032,00029,500
17
Development Fee7,8007,8007,8007,8007,800
18
Examination Fee17,50017,50017,50017,50017,500
19
Other Fee91259125912591259125
20
Total II Semester Fee73,92571,42568,92566,42563,925
21
Total Fees of I Year147,850142,850137,850132,850127,850
22
23
UttarakhandHeadsBelow 60%(Graduation Aggregate%)
60-70%
(4th Category)
Graduation Aggregate%)
71-80%
(3rd Category)
(Graduation Aggregate%)
81-90%
(2nd Category)
(Graduation Aggregate%)
91% Above
(1st Category)
24
I Year
25
Tuition Fee5200052000520005200052000
26
UK domicile Scholarship13,00013,00013,00013,00013,000
27
Merit Scholarship02,5005,0007,50010,000
28
Tuition fee after scholarship39,00036,50034,00031,50029,000
29
Development Fee7,8007,8007,8007,8007,800
30
Examination Fee17,50017,50017,50017,50017,500
31
Other Fee91259125912591259125
32
Total I Semester Fee73,42570,92568,42565,92563,425
33
II Semester
34
Tuition Fee5200052000520005200052000
35
UK domicile Scholarship13,00013,00013,00013,00013,000
36
Merit Scholarship02,5005,0007,50010,000
37
Tuition fee after scholarship39,00036,50034,00031,50029,000
38
Development Fee7,8007,8007,8007,8007,800
39
Examination Fee17,50017,50017,50017,50017,500
40
Other Fee91259125912591259125
41
Total II Semester Fee73,42570,92568,42565,92563,425
42
Total Fees of I Year146,850141,850136,850131,850126,850

Eligibility Criteria

  • Minimum 60% aggregate in 10+2 with Physics, Chemistry & Mathematics
  • Valid score in JEE Main / State CET / University Entrance Test
  • Lateral entry open for diploma holders directly into 2nd year
  • No upper age limit as per university admission norms
Career Outcomes

Where MCA in AI & ML
Can Take You

From AI research labs to enterprise product teams — graduates build intelligent systems that shape how the world works.
AI Engineer
Machine Learning Engineer
Data Scientist
Generative AI Engineer
LLM Engineer
AI Solutions Architect
NLP Engineer
Computer Vision Engineer
Research Scientist
MLOps Engineer
AI Product Engineer
AI Consultant
₹60 LPA
Highest Package
100%
Placement Assistance
500+
Recruiters
1000+
Internships

The Leading
Recruiters

Academor
Amazon Web Services
Artech
BMW
Cywarden
ESAF BANK
Glowlogics
Grant thornton
Hikeedu
Intel
Movidu
Prodesk it
Relinns Technologies
Siemens
Stellaraa Edu Tech
Talbros
Verizon
Academor
Amazon Web Services
Artech
BMW
Cywarden
ESAF BANK
Glowlogics
Grant thornton
Hikeedu
Intel
Movidu
Prodesk it
Relinns Technologies
Siemens
Stellaraa Edu Tech
Talbros
Verizon
Acxiom Consulting
Arrise
ASC International
CK (Calvin Klein)
Easemytrip
Fitelo
Google
Hero
HSBC
Learning Routes
MWIDM
Reality Assitant
Root Analysis
Silverspace
Step2gen
The times of india
Acxiom Consulting
Arrise
ASC International
CK (Calvin Klein)
Easemytrip
Fitelo
Google
Hero
HSBC
Learning Routes
MWIDM
Reality Assitant
Root Analysis
Silverspace
Step2gen
The times of india