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Master of Computer Applications (Artificial Intelligence & Machine Learning)

4 semesters

MCA in Artificial Intelligence & Machine Learning (AI/ML) at Chandigarh University: Build Tomorrow's Intelligent Systems

Machine Learning algorithms, Deep Learning, NLP, Computer Vision, predictive modeling: a 2-year master's program fully dedicated to artificial intelligence, designed to help you build, develop, and deploy intelligent systems capable of learning, understanding, and decision-making.

AI is transforming every industry, and global enterprises are actively seeking engineers capable of designing these systems. According to UIC data, 70 percent of global companies must adopt AI by 2027 to remain competitive and qualified AI engineers are in short supply worldwide. Across West Africa, fintechs, banks, AgriTech startups, and telecom operators are actively recruiting these profiles. Those who train today will secure a decisive competitive edge.

This MCA in AI & ML is offered by the University Institute of Computing (UIC) at Chandigarh University (Mohali, Punjab, India) ranked NIRF 19th nationally (2025), among the top 2 percent of universities globally (QS 2026), and NAAC A+ accredited. The curriculum is co-designed with industry experts and academic researchers, featuring extensive hands-on experience in Intel-Microsoft and Red Hat laboratories.

Quick Overview

Program: Master of Computer Applications (MCA) – Specialization in Artificial Intelligence & Machine Learning (AI/ML), with partial US ITP option
Duration: 2 Years (4 Semesters)
Eligibility: Any Bachelor's degree with a minimum of 50 percent aggregate AND Mathematics in high school or undergraduate level (bridge courses available if missing). Admission via CUCET-PG (Chandigarh University Entrance Test)
Location: University Institute of Computing (UIC), Chandigarh University, Mohali, Punjab, India

Skills You Will Master

AI fundamentals and intelligent system architectures
Machine Learning: supervised and unsupervised algorithms, model validation, and optimization
Deep Learning and neural network architectures (CNNs, RNNs, Transformers)
Natural Language Processing (NLP): language modeling, conversational bots, and LLMs
Computer Vision: image recognition, object detection, and visual analytics
Predictive modeling and large-scale data engineering
Integrating AI into business software and automated enterprise workflows
AI ethics, algorithm governance, and responsible deployment

Industry-Grade Laboratories

Intel-Microsoft Azure Lab: AI and cloud computing on industry-standard platforms
Red Hat Lab: Linux environments, containerization, and ML model deployment
SAP Next-Gen Lab and Android Innovation Lab
Industry-driven curriculum reviewed regularly by tech leaders
International Transfer Program (ITP) option: perform part of your degree studies in the United States

Real Graduate Placements

American Express: 18 LPA (Verified CU MCA AI/ML Graduate Placement)
J.P. Morgan Chase: 17.75 LPA (Verified CU Graduate Placement)
Intersoft Data Labs: 19.8 LPA (Verified CU Graduate Placement)

Career Prospects

Machine Learning Engineer / AI Engineer
Data Scientist / NLP Engineer
Computer Vision Specialist
AI Solutions Architect
AI Research Scientist (Ph.D. / R&D)
AI Transformation Consultant
Tech Entrepreneur (launching AI solutions in Fintech, AgriTech, HealthTech)
Top Recruiters: Microsoft, Google, Amazon, IBM, Deloitte, American Express, J.P. Morgan Chase, TCS, Wipro, Capgemini

Key Metrics

70 percent of global businesses must integrate AI by 2027 to stay competitive
19.8 LPA: Highest package recorded for a CU MCA AI/ML graduate
Approx. 3.94 Lakhs (INR): Total tuition fee for 2 years (Approx. 98,500 INR per semester)

Why Choose This Specialization?

Fastest-growing technology domain globally, commanding top-tier starting salaries
Specialized mastery in NLP and Computer Vision—skills that remain rare across West Africa
Proven high-tier placements with top global multinationals (AmEx, JPMorgan)
Access to global study exchange semesters across Europe, Asia, and the USA

Tuition Fees & Scholarships (Indicative)

MCA AI/ML Tuition: Approx. 3.94 Lakhs (INR) total across 2 years (approx. 98,500 INR per semester)
Hostel Accommodation: Approx. 1.07 Lakh (INR) per year
Merit Scholarships via CUCET-PG: Up to 100 percent tuition fee waiver based on entrance score and CGPA maintenance
Sports Scholarships: Up to 100 percent waiver for national or international level athletes
Note: Tuition fees are revised each academic year. Contact our team to receive an updated, exact invoice after applying eligible scholarships.

Why Apply Through ACCESS INDIA?

Pursuing higher education in India gives you direct access to world-class, English-taught technical education at a fraction of Western costs. ACCESS INDIA provides full support to West African and international candidates:

Personalized Counseling & Eligibility Check: Free review of your academic transcripts and guidance on program alignment.
Admission & CUCET-PG Registration: Seamless management of application forms, entrance exams, and scholarship processing.
Visa, Travel & Arrival Assistance: Full guidance for student visa issuance, airport pickup, and campus accommodation onboarding.

Frequently Asked Questions (FAQ)

What are NLP and Computer Vision?
NLP (Natural Language Processing) enables machines to read, translate, and understand human language—powering voice assistants, chatbots, and LLMs like ChatGPT. Computer Vision enables computers to extract information from digital images or videos, used widely in security, healthcare, agriculture, and autonomous driving.
How does this differ from Data Science or Cloud/DevOps degrees?
The MCA AI/ML focuses on building intelligent algorithms and learning models. The MCA in Data Science trains analytics experts to interpret business data. The MCA in Cloud/DevOps focuses on infrastructure engineering and system deployment.
Do I need prior AI knowledge to apply?
No. A Bachelor's degree with a basic background in Mathematics is sufficient. The program builds foundational programming concepts before advancing to complex AI techniques.
Who is eligible to apply?
Graduates with any recognized Bachelor's degree (minimum 50 percent aggregate) and Mathematics at high school or university levels. Admission is confirmed via the CUCET-PG test.

Your Place for the Next Intake is Decided Now

👉 Get in touch with the ACCESS INDIA team today for:

A free assessment of your profile
A shortlist of partner universities matched to you
A full quotation for your study project (tuition, accommodation, living costs)

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