Online MSc in Data Science
in Agentic AI
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The Online Master's degree program in Data Science in Agentic AI offered by Chandigarh University is a two-year online higher education program. It has been uniquely positioned to provide you with theoretical knowledge and practical exposure to the fast- transforming field of Data Science.
The courses are designed to deliver in-depth and most-relevant skills in conventional areas of data engineering and analysis such as in businesses, finances, and industrial and scientific research, as well as in relatively newer areas such as in social data analysis, big data, and more. So, whether you want to be a data engineer who handles data in its most raw form, a data scientist who works with different types of data models, or a data analyst who derives and interprets new insights from data; this is the program for you. Our subject matter experts and industry professionals will keep you engaged with their domain knowledge, relatable examples, simulations, and practical projects. This will guide you through the next two years and groom you into a well-trained data science professional. Are you ready to get started?
Candidate must have completed bachelor's degree in B.A/ BCA/ B.Sc. (Statistics or Mathematics or Computer Science) / B.E/ B.Tech
OR
equivalent undergraduate degree with any one of the following subject Computer Science/ Mathematics/ Statistics from a recognized Board/ University.
Learners can pay by year or semester. Easy financing
options available.
Prof. Viraj Kumar is a highly experienced faculty with a teaching experience of more than 13 years. He is a visiting Professor at IISc Bangalore and the Chair of ACM India's Special Interest Group for CS Education (iSIGCSE). Viraj holds a PhD in Computer Science from the University of Illinois at Urbana-Champaign and his primary research area is in Educational Technology with an emphasis on India-specific challenges and solutions. He has contributed to two task groups related to Educational Technology constituted by the Karnataka Knowledge Commission and served as a consultant to the committee to draft the National Education Policy (MHRD, Government of India). Viraj has co-chaired ACM India's annual COMPUTE conference on Computing Education since 2018.
Ph.D, Computer Science,
University of Illinois at Urbana-Champaign
M.S. Computer Science,
University of Illinois at Urbana-Champaign
M.Sc. Applied Statistics
and Informatics, IIT Bombay
Prof. Viraj Kumar is a highly experienced faculty with a teaching experience of more than 13 years. He is a visiting Professor at IISc Bangalore and the Chair of ACM India's Special Interest Group for CS Education (iSIGCSE). Viraj holds a PhD in Computer Science from the University of Illinois at Urbana-Champaign and his primary research area is in Educational Technology with an emphasis on India-specific challenges and solutions. He has contributed to two task groups related to Educational Technology constituted by the Karnataka Knowledge Commission and served as a consultant to the committee to draft the National Education Policy (MHRD, Government of India). Viraj has co-chaired ACM India's annual COMPUTE conference on Computing Education since 2018.
Learn more about why this degree can help you upskill for today's professional environments, the subjects you will learn, course credits and much more.
Total Credits: 80
| Subjects | Credits |
|---|---|
| Fundamentals of Programming-Python | 4 |
| Database Management System | 4 |
| Design and Analysis of Algorithms | 4 |
| Evolutionary Algorithms and Numerical Optimization | 4 |
| Statistical Methods | 4 |
| Subjects | Credits |
|---|---|
| Software Engineering for Data Science | 4 |
| Data Visualization | 4 |
| Big Data | 4 |
| Machine Learning | 4 |
| Statistical Inference | 4 |
| Subjects | Credits |
|---|---|
| Advanced NLP & Language Model Applications | 4 |
| RAG Systems & Knowledge Engineering | 4 |
| AI & Multi-Agent Systems | 4 |
| Large Language Model Engineering | 4 |
| Reasoning, Planning & Autonomous Agent Design | 4 |
| Subjects | Credits |
|---|---|
| AI Systems Design & MLOps | 4 |
| AI Governance, Ethics & Responsible AI | 4 |
| AI Product Management: Strategy, Roadmapping, Go-to-Market | 4 |
| Capstone Project (with Live Industry Project) | 12 |
80
Credits30+
Live Sessions60+
TA Sessions12+
Case Studies & ProjectsChandigarh University Online engages with the best talent from both academia and industry to provide its students with world-class learning experiences and future-ready learning outcomes.
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Prof. Viraj Kumar is a highly experienced faculty with a teaching experience of more than 13 years. He is a visiting Professor at IISc Bangalore and the Chair of ACM India's Special Interest Group for CS Education (iSIGCSE).
Visiting Faculty
- Department of Humanities & Social Science - NIT Warangal Member, Board
of Studies, Central University of Hyderabad
Ph.D, Computer
Science, University of Illinois at Urbana-Champaign
M.S. Computer
Science, University of Illinois at Urbana-Champaign
M.Sc. Applied
Statistics and Informatics, IIT Bombay
Prof. Viraj Kumar is a highly experienced faculty with a teaching experience of more than 13 years. He is a visiting Professor at IISc Bangalore and the Chair of ACM India's Special Interest Group for CS Education (iSIGCSE). Viraj holds a PhD in Computer Science from the University of Illinois at Urbana-Champaign and his primary research area is in Educational Technology with an emphasis on India-specific challenges and solutions. He has contributed to two task groups related to Educational Technology constituted by the Karnataka Knowledge Commission and served as a consultant to the committee to draft the National Education Policy (MHRD, Government of India). Viraj has co-chaired ACM India's annual COMPUTE conference on Computing Education since 2018.
Prof. Medha is an ex- Assistant Professor from IIT Kanpur, and is currently working as a consultant for her expertise in helping people build new technology ideas spanning across diverse domains
Ph.D. (Computer
Science), Rensselaer Polytechnic Institute, Troy, NY USA
M.Tech. (Computer
Science) IIT Bombay, Mumbai, India
B.E. (Production
Engineering), College of Engineering, Pune, India
Prof. Medha is an ex- Assistant Professor from IIT Kanpur, and is currently working as a consultant for her expertise in helping people build new technology ideas spanning across diverse domains, such as -- databases, analytics, machine learning, performance optimization, data security and privacy. She has completed her PhD in 2011 from Rensselaer Polytechnic Institute. She has also worked as a Post Doctoral Researcher in University of Pennsylvania.
Parteek Bhatia is Associate Professor in the Department of Computer Science and Engineering and Former Associate Dean of Student Affairs at Thapar Institute of Engineering and Technology, Patiala.
Ph.D. (Natural
Language Processing), Thapar University
M.S. (Software
Systems), BITS Pilani
B.Tech. (Computer
Science), Sant Longwal Inst of Engg and Tech
Parteek Bhatia is Associate Professor in the Department of Computer Science and Engineering and Former Associate Dean of Student Affairs at Thapar Institute of Engineering and Technology, Patiala. He is currently on sabbatical for Post doctorate at Tel Aviv University, Israel. He is recipient of Young Faculty Research Fellowship from Ministry of Electronics & Information Technology, Govt. of India. He has more than twenty years of academic experience, including six years at D.A.V College Amritsar.
Prof. Ram is a veteran with 30+ years of experience in R&D, Consulting, and academics. He is currently working as a Professor at KS Institute of Technology. Over the span of his career, he has consulted
Ph.D., IIT
Delhi
M.Tech, Computer
and Information Sciences, IISc bangalore
M.Sc. Physics,
Delhi University
Prof. Ram is a veteran with 30+ years of experience in R&D, Consulting, and academics. He is currently working as a Professor at KS Institute of Technology. Over the span of his career, he has consulted several global corporations and have been an invited speaker on Enterprise Networking, Public WiFi, and Cellular VAS Applications design, Application performance management and optimization.
Data Scientist at Walmart Labs Behzad is a Doctor of Philosophy (Ph.D.) in Electrical and Computer Engineering; communication and signal processing from the New Jersey Institue of Technology.
Ph.D. (Electrical
and Computer Engineering: Communication and Signal Processing), New
Jersey Institute of Technology
Master's Degree
(Electrical and Computer Engineering: Communication and Signal
Processing), Isfahan University of Technology
Bachelor's Degree
(Electrical and Computer Engineering), Isfahan University of
Technology
Data Scientist at Walmart Labs Behzad is a Doctor of Philosophy (Ph.D.) in Electrical and Computer Engineering; communication and signal processing from the New Jersey Institue of Technology. He has also worked as an Adjunct Professor at New Jersey Institute of Technology. He has been working in the software engineering and data science field for the last 12+ years. Behzad currently employs his machine learning skill-set to create retails graphs for Walmart labs.
Data Science Lead, Myntra Sajan did B.Tech. & M.Tech. in Computer Science from IIT BHU. During Masters, he worked on Data Mining & published research papers on the topic. Currently, he is leading the Data Science Team of Pricing at Myntra
M.Tech. (Computer
Science), IIT BHU
B.Tech. (Computer
Science), IIT BHU
Data Science Lead, Myntra Sajan did B.Tech. & M.Tech. in Computer Science from IIT BHU. During Masters, he worked on Data Mining & published research papers on the topic. Currently, he is leading the Data Science Team of Pricing at Myntra, building AI systems for personalised pricing. He has very good expertise in Big Data technologies, Machine learning, and NLP.
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Experience the pinnacle of online education with Chandigarh University Online, providing diverse learning options, career services, and a curriculum aligned with industry standards.
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Agentic AI in 2026 marks a major shift from passive, prompt-based systems to intelligent agents capable of planning, reasoning, and acting autonomously. These AI agents collaborate with tools and systems to execute complex, end-to-end workflows, dramatically enhancing productivity, data analysis, and decision-making across enterprise operations.
As AI becomes proactive rather than reactive, entirely new career paths are emerging. Programs like the Online MSc Data Science in Agentic AI enable learners to specialize in this frontier domain. Chandigarh University Online, among the first in India to introduce this specialization, offers a strong first-mover advantage for future AI professionals.
Agentic AI represents a new generation of intelligent systems capable of autonomous decision-making, task execution, and continuous learning, making them highly impactful across complex real-world applications.
Autonomous decision systems: AI agents independently analyze data, make decisions, and execute tasks without human intervention.
Goal-oriented functioning: Operates based on defined objectives, optimizing actions to achieve desired outcomes efficiently.
Multi-step reasoning ability: Breaks complex problems into smaller steps and solves them logically in sequence.
Tool interaction capability: Integrates with APIs, software, and external systems to complete tasks dynamically.
Adaptive learning systems: Continuously improves performance based on feedback and evolving data inputs.
Agentic AI is already being adopted across industries to automate workflows, enhance productivity, and enable intelligent decision-making with minimal human intervention.
Autonomous workflow automation: Handles end-to-end business processes like support systems and operations independently.
AutoGPT-style systems: AI agents perform research, coding, and task execution without continuous supervision.
AI copilots integration: Assists professionals in coding, analytics, and content creation with real-time suggestions.
Enterprise AI automation: Optimizes supply chains, finance processes, and operational efficiency at scale.
Advanced virtual assistants: Executes complex tasks like scheduling, analysis, and multi-step problem-solving.
Understanding the difference between generative AI and agentic AI helps learners choose the right specialization such as Online MSc Data Science in Agentic AI based on whether they prefer content creation or autonomous system development.
Core functionality difference: Generative AI creates content, while Agentic AI performs actions and completes tasks.
Execution capability level: Agentic AI handles workflows, whereas generative AI responds to prompts.
System interaction scope: Agentic AI integrates with tools and APIs, unlike standalone generative models.
Use case variation range: Generative AI supports creativity, while Agentic AI enables automation and execution.
Complexity learning curve: Agentic AI requires deeper understanding of systems, orchestration, and reasoning.
To build a career in Agentic AI, professionals must develop a strong combination of technical expertise, system-level understanding, and the ability to design intelligent autonomous workflows.
LLM orchestration expertise: Managing multiple language models to perform coordinated and complex tasks efficiently.
API integration knowledge: Connecting AI agents with external tools, databases, and services seamlessly.
Reasoning system design: Building AI systems capable of logical thinking, planning, and structured decision-making.
Programming proficiency skills: Strong foundation in Python and AI frameworks for system development.
System architecture understanding: Designing scalable, autonomous AI systems across different environments effectively.
Understanding the technology stack behind Agentic AI helps learners build practical expertise and develop real-world autonomous systems effectively.
LLM frameworks usage: Tools like LangChain help orchestrate large language models for multi-step workflows.
API-based integrations: Enables agents to connect with databases, SaaS tools, and third-party services.
Vector databases usage: Stores embeddings for semantic search and contextual memory in AI systems.
Cloud deployment platforms: Supports scalable deployment of AI agents using cloud infrastructure services.
Automation pipelines tools: Helps design workflows where AI agents execute tasks in a structured manner.
A well-structured curriculum for Online MSc Data Science in Agentic AI ensures learners gain expertise in autonomous systems, large language models, and real-world AI applications through industry-relevant subjects and progressive learning.
First-in-India specialization: One of the first Agentic AI programs introduced by any university in India.
Industry-aligned curriculum: Covers real-world tools, frameworks, and emerging AI technologies.
Flexible online learning: Enables students to upskill without interrupting their professional commitments.
Hands-on project focus: Emphasizes building real AI agents and autonomous systems.
Future-ready learning approach: Prepares learners for next-generation AI and automation roles.
Agentic AI unlocks advanced career opportunities, enabling professionals to work on next-generation technologies that power automation, decision-making, and intelligent systems globally.
AI agent developer: Designs and builds autonomous agents capable of multi-step decision-making tasks.
AI systems engineer: Develops scalable systems integrating APIs, tools, and intelligent workflows.
Machine learning engineer: Builds models that enhance learning and adaptability of AI systems.
AI product specialist: Works on AI-driven product development and user experience optimization.
Automation architect: Designs enterprise-level AI automation systems for efficiency and scalability.
The rapid adoption of autonomous systems is driving strong demand for Agentic AI professionals, making it one of the most promising and future-ready career domains globally.
Rapid adoption trends: Businesses are increasingly implementing AI agents for automation and efficiency.
High demand roles: AI agent and automation roles are among the fastest-growing globally.
Cross-industry relevance: Healthcare, finance, IT, and logistics are leveraging Agentic AI solutions.
Innovation-driven growth: Agentic AI is expected to lead the next phase of AI advancements.
Global career opportunities: Skilled professionals can explore high-paying roles across international markets.
As enterprises invest in autonomous systems, compensation for roles that blend LLM orchestration, systems design, and automation is rising across India and global markets.
| Entry level (0–2 years) | ₹6 LPA to ₹14 LPA — Python, APIs, LLM tooling, and project portfolio |
| Mid-level (2–5 years) | ₹12 LPA to ₹24 LPA — multi-agent systems, MLOps, and production deployments |
| Senior level (5+ years) | ₹22 LPA to ₹40+ LPA — architecture, AI product leadership, and enterprise automation |
Starting a career in Agentic AI requires a structured approach, combining education, technical skills, and practical experience to build expertise in this rapidly evolving field.
Learn core technologies: Focus on Python, APIs, LLMs, and automation frameworks.
Build real-world projects: Develop AI agents to gain hands-on practical experience.
Create strong portfolio: Showcase projects demonstrating system design and problem-solving skills.
Stay updated trends: Continuously learn new advancements in AI and autonomous systems.
The Online MSc Data Science in Agentic AI stands out as a pioneering program offering learners a significant competitive edge.
Emerging domain leadership: CU Online is among the first universities in India to introduce a dedicated Agentic AI specialization.
Next-gen technology focus: Covers autonomous systems, multi-agent frameworks, and intelligent workflow orchestration.
Designed for evolving careers: Aligns with roles that require system-level thinking and AI-driven automation expertise.
Applied learning ecosystem: Encourages experimentation with real tools, frameworks, and AI-driven use cases.
Growth-oriented learning path: Supports learners in transitioning from foundational AI knowledge to advanced specializations.
Online MSc Data Science in Agentic AI is a first-of-its-kind program offered by Chandigarh University Online designed to prepare professionals for advanced careers in autonomous and intelligent AI systems.
The curriculum centres on building Agentic AI systems that can independently reason, plan, and execute complex tasks using modern, industry-grade technologies.
With a flexible online learning model and industry-aligned content, the program equips learners with practical, job-ready skills for next-generation AI roles.
Enroll by 30th April & avail upto 25% early-bird scholarship! Apply Now
