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Artificial Intelligence and Machine Learning have become central to modern organizations, powering systems that learn, adapt, and support smarter decision-making.
Keeping this trend in mind, the Online MCA in Artificial Intelligence and Machine Learning at Chandigarh University equips you with the knowledge to design intelligent systems and apply ML techniques to solve real-world problems.
You begin with foundational computing concepts and gradually advance to specialized subjects that focus on algorithms, data modeling, and predictive analytics. The program emphasizes practical skills that allow you to work with large datasets, automate processes, and integrate AI solutions into business applications.
By completing this degree, you gain a strong technical and analytical foundation that remains relevant across industries and evolving technologies.
A candidate shall have passed the qualifying examination of BCA/ B.Sc. (Computer Science)/ B.Sc. (IT) / B.E. (CSE)/ B.Tech.(CSE) / B.E. (IT) / B.Tech. (IT) or passed any graduation degree (e.g., B.E/ B.Tech / B.Sc. / B.Com. / B.A/ B.Voc) with Mathematics, Business Mathematics, Programming, or Statistics at 10+2 level or at Graduation level.
Here's a quick look at the MCA in Artificial Intelligence and Machine Learning fee to help you map your academic and financial goals.
Minimum Credit required for degree: 80
| Subjects | Credits |
|---|---|
|
Advanced Database Management System |
4 |
|
Advanced Computer Networks |
4 |
|
Web Programming |
4 |
|
Python Programming |
4 |
|
Network Security and Cryptography |
4 |
| Subjects | Credits |
|---|---|
|
Advanced Internet Programming |
4 |
|
Design and Analysis of Algorithms |
4 |
|
Software Testing |
4 |
|
Web Application Development |
4 |
|
Cyber Security |
4 |
| Subjects | Credits |
|---|---|
|
Introduction to Cloud Computing |
4 |
|
Introduction to Amazon Web Services |
4 |
|
Introduction to Microsoft Azure services |
4 |
|
Cloud Programming |
4 |
|
Cloud Virtualization |
4 |
| Subjects | Credits |
|---|---|
|
HTML, CSS and Javascript |
4 |
|
User Interface, Experience, Design |
4 |
|
DevOps -1 (GIT, Jenkins, Docker) |
4 |
|
Software Architecture |
4 |
|
Prototyping |
4 |
| Subjects | Credits |
|---|---|
|
Data Analytics Using Python |
4 |
|
SQL for Data Analytics |
4 |
|
Web Analytics |
4 |
|
Digital Media Analytics |
4 |
|
IOT and Data Analytics |
4 |
| Subjects | Credits |
|---|---|
|
Machine Learning in Python |
4 |
|
Statistics and Python in Machine Learning |
4 |
|
Business Application of Machine Learning |
4 |
|
Deep Learning and NLP |
4 |
|
Web, Social Analytics and Visualization |
4 |
| Subjects | Credits |
|---|---|
|
Introduction to Google Cloud services |
4 |
|
Introduction to IBM Cloud Services |
4 |
|
Major Project |
12 |
| Subjects | Credits |
|---|---|
|
Web Services- Rest API, ReactJS, NodeJS Development |
4 |
|
DevOps-2 (Ansible, Puppet, Nagios) |
4 |
|
Major Project |
12 |
| Subjects | Credits |
|---|---|
|
Data Analytics using R |
4 |
|
Data Analytics for decision making |
4 |
|
Major project |
12 |
| Subjects | Credits |
|---|---|
|
Big data hadoop |
4 |
|
IOT cloud and watson analytics |
4 |
|
Major project |
12 |

Ms. Shalini Singh is a Senior Instructor at CU. She is pursuing her doctorate from the Department of Business Economics, University of Delhi. She holds an undergraduate and a postgraduate degree in Economics. Formerly, she was involved in teaching macroeconomics and econometrics at the Indian School of Business and Finance, an affiliate centre of University of London. She has 7+ years of experience in teaching macroeconomic concepts, research and policy making with various ministries. Her research interests include health economics, macroeconomic policies, and environmental economics. Her research papers have been published in various UGC-recognised journals and she has also contributed book chapters to two books that were published by Ane publishers. She has also presented her paper at various national and international seminars and has been recognised as the faculty with the highest subject score, 2018 (Macroeconomics) by University of London.
Doctor of
Philosophy (PhD) Economics, Delhi University, 2014 – 2018
Master of Arts
(MA)Economics, Banaras Hindu University, 2010 – 2012
Bachelor of Arts
(B.A.) (Honours) Economics, Ramjas College
Ms. Shalini Singh is a Senior Instructor at CU. She is pursuing her doctorate from the Department of Business Economics, University of Delhi. She holds an undergraduate and a postgraduate degree in Economics. Formerly, she was involved in teaching macroeconomics and econometrics at the Indian School of Business and Finance, an affiliate centre of University of London. She has 7+ years of experience in teaching macroeconomic concepts, research and policy making with various ministries. Her research interests include health economics, macroeconomic policies, and environmental economics. Her research papers have been published in various UGC-recognised journals and she has also contributed book chapters to two books that were published by Ane publishers. She has also presented her paper at various national and international seminars and has been recognised as the faculty with the highest subject score, 2018 (Macroeconomics) by University of London.
80
Credits40+
Live Sessions80+
TA Sessions20+
Case Studies & ProjectsChandigarh University Online engages with the best talent from both academia and industry to provide its MBA students with world-class learning experiences and future-ready learning outcomes.
View AllRecognition by the UGC, India is a stamp of approval for the credibility, quality & acceptance of CU Online degrees.
CU Online degree is held in high regard by academicians & corporate leaders across the globe.
Backed by prestigious universities and institutions our curriculum is at par with globally renowned industry-relevant courses.
You get VIP access to world-class resources and insights from renowned industry stalwarts and global faculties staying at distant places.
Our comprehensive online infrastructure allows students to access resources, assistance, guidance at their convenience.
On Demand Examination facility allows students seek freedom to schedule when they are ready for the examination.
Engage in real-time discussions with industry leaders to gain invaluable industry insights.
Regular interactive experience builds confidence & enhances practical know-how.
Get access to our advanced learning platform that facilitates a seamless learning experience
Personalise your learning path & collaborate with peers situated globally using the LMS platform.
Access to networking opportunities, internships, & job placements through industry partnerships.
Support & guidance in career planning, job search strategies, & skill development for professional growth.
Learn from acclaimed professionals with vast expertise, ensuring a rich & insightful learning experience.
Gain overall perspectives & practical learning from faculty members with global exposure.
Affordable fee structure augmented by scholarships & discounts where students can book their seat by paying just ₹10,000
Flexibility in payment through No Cost EMI, Annual & Semester wise payment option.
Chandigarh University Online assists its students in every step of their job search by providing robust career services and empowering students to unlock their fullest professional potential.
End-to-End Placement Support
LinkedIn
Masterclass
Internship Support
Resume Writing Workshops
Mock Interviews
Career Coaching Sessions
At Chandigarh University Online, we understand that education goes beyond the boundaries of a degree certificate. That's why we offer an array of exclusive resources and opportunities designed to enrich your learning journey and prepare you for success in the real world:
Customized Workshops:
Expert-led online workshops tailored for skill enhancement.
Keeps you updated with latest industry trends.
Networking Opportunities:
Forge valuable connections for future opportunities
Access exclusive events to connect with industry leaders.
Alumni Benefits:
Lifelong access to alumni benefits: career resources, events, discounts.
Access exclusive alumni events and opportunities.
Campus Immersion
Experience campus life for a full week, fostering lifelong friendships
Connect with peers, alumni, and industry professionals.
Experience the pinnacle of online education with Chandigarh University Online, providing diverse learning options, career services, and a curriculum aligned with industry standards.
Diverse Learning Options
E-books, webinars, and recorded video lectures cater to the diverse preferences of learners, matching their unique learning styles.
Placement & Career Services
Our assistance in career development, with support from our more than 300 hiring partners, ensures learners are prepared for varied job roles.
Interactive Learning Experience
Receive a top-notch learning experience from our faculty, who take help of advanced learning management systems to support learners with quality education.
Value Equivalent to Regular Degree
According to the UGC, our degree programs hold the same value as traditional degrees, instilling trust in what we offer.
Industry-aligned Curriculum
Our online programs feature an industry-aligned curriculum to ensure learners acquire relevant skills and knowledge.
Learn From Global Faculties
With experience and expertise, our global faculties offer diverse perspectives on subjects from around the world.
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Through these electives, you develop applied skills in AI and ML, preparing you to design and implement intelligent systems and data-driven solutions wherever you move -
Machine Learning in Python: You learn to implement ML algorithms using Python libraries. This builds the foundation for predictive modeling and automation of business processes.
Statistics and Python in Machine Learning: You apply statistical concepts to analyze data and validate models. Python tools help you work with real datasets to extract actionable insights.
Business Application of Machine Learning: You explore how ML techniques can solve practical business problems. Case studies show the integration of models in decision-making and operational processes.
Deep Learning and NLP: You work with neural networks and natural language processing models. This enables building systems that understand and interpret complex data like text, images, and voice.
Web, Social Analytics, and Visualization: You track, analyze, and visualize online and social media data. These skills help optimize digital strategies and communicate insights effectively.
Big Data Hadoop: You gain expertise in handling and processing large-scale datasets. Hadoop frameworks allow you to manage data efficiently and support enterprise-level analytics.
IoT Cloud and Watson Analytics: You analyze data from connected devices and leverage AI platforms for insights. This elective focuses on real-time data processing and cloud-based solutions.
Major Project: You apply your learning to a comprehensive project. The project emphasizes the practical implementation of AI and ML techniques to solve real problems.
With an Online MCA in Artificial Intelligence and Machine Learning program, you can understand and implement intelligent systems that influence big business outcomes. You understand how to structure data, design predictive models, and integrate AI solutions into organizational workflows.
The course emphasizes principles and methodologies that remain relevant even as technologies evolve. By mastering ML, deep learning, and data-driven decision-making, you develop a skill set that supports strategy, operational efficiency, and innovation across multiple industries.
These abilities make your expertise adaptable, allowing you to contribute meaningfully in any AI-driven environment.
An Online MCA in Artificial Intelligence and Machine Learning is suited for individuals who aim to build a career in AI, ML, or data-driven decision-making.
It works well for professionals in IT, analytics, or computing fields who want flexible learning while preparing for technical, hybrid, or strategic roles.
Completing this specialization equips you to:
Develop and implement machine learning models and deep learning systems
Process, analyze, and visualize data from various sources
Apply AI solutions to real-world business problems
Work with IoT, cloud, and big data platforms for integrated analytics
Present data insights and predictive analyses effectively
Make informed, data-driven decisions across operational and strategic contexts
| Role | Average Salary Range (India) |
|---|---|
| Machine Learning Engineer | 8 Lakhs – 20 Lakhs |
| Data Scientist | 8 Lakhs – 18 Lakhs |
| AI Engineer | 10 Lakhs – 22 Lakhs |
| Analytics Consultant | 6 Lakhs – 15 Lakhs |
| Business Intelligence Analyst | 5 Lakhs – 12 Lakhs |
| Deep Learning Specialist | 9 Lakhs – 20 Lakhs |