Online MSc in Data Science
in Generative AI
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The Online Master's degree program in Data Science in Generative 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 |
|---|---|
| RAG Systems & Knowledge Engineering | 4 |
| Large Language Models and Transformer Architectures | 4 |
| Prompt Engineering and LLM Applications | 4 |
| Large Language Model Engineering | 4 |
| Diffusion Models & Generative Media | 4 |
| Subjects | Credits |
|---|---|
| Advanced Generative Models and Multimodal AI | 4 |
| LLM Engineering, RAG and AI Agents | 4 |
| Capstone Project (with Live Industry Project) | 12 |
80
Credits30+
Live Sessions60+
TA Sessions12+
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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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Engage in real-time discussions with industry leaders to gain invaluable industry insights.
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Personalise your learning path & collaborate with peers situated globally using the LMS platform.
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Learn from acclaimed professionals with vast expertise, ensuring a rich & insightful learning experience.
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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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Generative AI is rapidly evolving from experimental use cases to large-scale adoption in India. By 2026, the market is expected to attract massive investments and demand over one million AI professionals. From content creation and coding to design and workflow automation, Generative AI is transforming how businesses and individuals operate, creating a strong demand for applied, production-ready skills.
To meet this growing demand, the Online MSc Data Science in Generative AI by Chandigarh University Online has been introduced for the first time by any university in India, equipping learners with practical expertise and early-mover advantages for high-growth AI careers.
To build a successful career in Generative AI, professionals must develop a mix of technical, creative, and problem-solving skills aligned with industry needs.
Prompt engineering expertise: Crafting effective prompts to generate accurate and high-quality outputs.
Programming knowledge basics: Proficiency in Python and AI frameworks for model implementation.
Understanding of LLMs: Knowledge of large language models and how they function.
Data handling skills: Ability to work with large datasets for training and fine-tuning models.
Creative problem-solving ability: Applying AI tools to real-world business and creative challenges.
Generative AI relies on a range of tools and platforms that enable professionals to build, deploy, and scale AI-powered solutions effectively.
Text generation tools: Platforms like ChatGPT for content creation and conversational AI.
Image generation tools: Tools like Midjourney for creating AI-generated visuals.
AI coding assistants: Helps developers write and optimize code efficiently.
Cloud AI platforms: Enables deployment and scaling of AI models in production environments.
Model development frameworks: Libraries like PyTorch and TensorFlow for building AI models.
Generative AI offers diverse and high-paying career opportunities, enabling professionals to work on cutting-edge technologies and innovative solutions.
GenAI engineer: Builds and deploys generative models for various applications.
Prompt engineer: Designs prompts to optimize AI outputs for accuracy and efficiency.
AI product developer: Develops AI-driven products and applications for businesses.
Machine learning engineer: Works on model training, optimization, and deployment.
AI content specialist: Uses AI tools for content creation and digital marketing.
Generative AI professionals are among the highest-paid in the tech industry due to increasing demand and specialized skill requirements.
| Entry-level | Typically ₹4.5 LPA to ₹12 LPA depending on skills and role |
| Mid-level | ₹10 LPA to ₹35 LPA with experience and expertise |
| Senior-level | ₹25 LPA to ₹55 LPA+ in top organizations for experienced roles |
The rapid adoption of Generative AI—supported by strong data science foundations—is driving demand across industries for professionals who can ship production-ready models and applications, making it one of the most future-ready career domains.
Rapid adoption trends: Businesses are integrating Generative AI into workflows and products.
High demand roles: GenAI-related jobs are among the fastest-growing globally.
Cross-industry applications: Used in IT, marketing, healthcare, education, and more.
Innovation-driven growth: Continuous advancements are expanding use cases and opportunities.
Future-ready careers: Ensures long-term relevance in the evolving job market.
The Online MSc Data Science in Generative AI focuses on artificial intelligence systems that can create new content such as text, images, code, and audio by learning patterns from existing data.
Content generation capability: Creates text, images, videos, and code using learned patterns from datasets.
Deep learning foundation: Built on neural networks that analyze and replicate complex data structures.
Prompt-based interaction: Generates outputs based on user inputs or prompts efficiently.
Creative automation systems: Automates creative processes like writing, designing, and coding tasks.
Continuous learning models: Improves outputs through training and feedback mechanisms over time.
Generative AI is powered by advanced technologies that enable machines to understand, generate, and refine content across multiple formats and use cases.
Large language models: LLMs like GPT enable text generation, summarization, and conversational AI capabilities.
Diffusion models usage: Used for generating high-quality images and visuals from textual descriptions.
Transformer architectures: Enables contextual understanding and sequence-based data processing.
Neural network training: Deep learning models trained on massive datasets to generate realistic outputs.
Multimodal AI systems: Combines text, image, and audio capabilities into unified AI systems.
The structure of the Online MSc Data Science in Generative AI syllabus ensures learners gain both foundational knowledge and advanced expertise in Generative AI, covering programming, machine learning, LLMs, and real-world AI deployment.
Industry-oriented curriculum: Designed to match real-world generative AI applications and evolving industry requirements.
Future-focused specialization: Covers advanced topics like LLMs, multimodal AI, and generative model development.
Hands-on learning focus: Includes practical projects, real-world use cases, and AI model implementation experience.
Career readiness training: Supports portfolio building, resume enhancement, and interview preparation for AI roles.
Flexible online learning: Allows learners to upskill at their own pace without disrupting professional commitments.
Generative AI is being widely adopted across industries, transforming workflows and enabling automation in creative, technical, and operational domains.
Content creation automation: Generates blogs, marketing content, and social media posts efficiently.
AI-assisted coding tools: Helps developers write, debug, and optimize code faster.
Design and creativity tools: Creates visuals, graphics, and UI/UX elements using AI models.
Business process automation: Automates repetitive tasks and enhances productivity across operations.
Customer engagement solutions: AI chatbots and assistants improve user interaction and support services.
The Online MSc Data Science in Generative AI provides learners with a competitive edge by combining flexibility, innovation, and industry relevance.
Early adopter advantage: CU Online is among the first universities in India offering this specialization.
Industry-aligned curriculum: Focuses on real-world applications and emerging AI technologies.
Flexible online learning: Allows learners to upskill without interrupting professional commitments.
Hands-on project focus: Emphasizes practical learning through real-world assignments.
Career-focused training: Prepares students for high-demand roles in Generative AI.
Starting a career in Generative AI requires a structured approach combining education, skill-building, and practical experience to become job-ready.
Learn core technologies: Focus on LLMs, deep learning, and prompt engineering.
Build real-world projects: Gain hands-on experience by working on practical applications.
Create strong portfolio: Showcase projects demonstrating generative AI capabilities.
Stay updated trends: Continuously learn new tools and advancements in AI technologies.
Experience the future of AI creation with the Online MSc Data Science in Generative AI from Chandigarh University Online, built for learners ready to shape intelligent systems at scale.
This program dives deep into Generative AI models, creative automation, and intelligent content systems, enabling real-world application through hands-on projects and modern AI frameworks.
Delivered through a flexible, industry-focused online format, it empowers learners with future-ready skills for high-growth AI roles.
Enroll by 30th April & avail upto 25% early-bird scholarship! Apply Now
