Online MSc in Data Science
in Applied AI
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The Online Master's degree program in Data Science in Applied 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 |
|---|---|
| Applied Deep Learning | 4 |
| Natural Language Processing & Large Language Models | 4 |
| Computer Vision & Image Intelligence | 4 |
| Reinforcement Learning & Decision Intelligence | 4 |
| MLOps & AI System Integration | 4 |
| Subjects | Credits |
|---|---|
| AI Systems Engineering & MLOps | 4 |
| Responsible & Ethical AI Systems | 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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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.
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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:
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Expert-led online workshops tailored for skill enhancement.
Keeps you updated with latest industry trends.
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Forge valuable connections for future opportunities
Access exclusive events to connect with industry leaders.
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Access exclusive alumni events and opportunities.
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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.
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E-books, webinars, and recorded video lectures cater to the diverse preferences of learners, matching their unique learning styles.
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Receive a top-notch learning experience from our faculty, who take help of advanced learning management systems to support learners with quality education.
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Industry-aligned Curriculum
Our online programs feature an industry-aligned curriculum to ensure learners acquire relevant skills and knowledge.
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With experience and expertise, our global faculties offer diverse perspectives on subjects from around the world.
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Artificial Intelligence has progressed from theoretical research to real-world deployment, powering automation and data-driven decision-making across global industries. In 2026, Applied AI is at the centre of this transformation, helping businesses improve efficiency, predict outcomes, and personalize experiences across sectors like healthcare, retail, and finance.
As AI adoption scales rapidly, demand for practical, job-ready skills is rising. The Online MSc Data Science in Applied AI program by Chandigarh University Online has been introduced for the first time by any university in India, and prepares learners for high-growth careers through real-world, industry-aligned learning.
Applied AI is revolutionizing industries by enabling automation, predictive analytics, and intelligent decision-making across business operations and customer interactions.
Healthcare AI solutions: Used for disease prediction, medical imaging, and personalized treatment recommendations.
Finance automation systems: Detects fraud, manages risk, and enhances algorithmic trading strategies.
Retail personalization engines: Improves customer experience through recommendations and demand forecasting.
Logistics optimization tools: Enhances supply chain efficiency, route planning, and inventory management.
Customer support automation: AI chatbots handle queries and improve service efficiency significantly.
Understanding the distinction between applied and theoretical AI helps learners choose between practical implementation-focused careers and research-driven academic paths in artificial intelligence.
Practical implementation focus: Applied AI focuses on solving real-world problems using existing models and technologies.
Research-oriented approach: Theoretical AI involves developing new algorithms, architectures, and foundational AI theories.
Industry usage scope: Applied AI is widely used across industries, while theoretical AI remains largely academic.
Skill requirement difference: Applied AI needs tool-based expertise, whereas theoretical AI requires deep mathematical knowledge.
Outcome-driven learning focus: Applied AI emphasizes deployment and results, while theoretical AI focuses on innovation.
To build a successful career in Applied AI, professionals must develop strong technical and practical skills that enable them to implement AI solutions effectively.
Machine learning fundamentals: Understanding supervised and unsupervised learning techniques for practical applications.
Programming proficiency skills: Strong foundation in Python and AI frameworks for model development.
Data processing expertise: Ability to clean, transform, and analyze large datasets efficiently.
Problem-solving mindset: Applying AI techniques to solve real-world business challenges effectively.
Model deployment knowledge: Understanding how to deploy AI models into production environments.
Applied AI relies on modern tools and frameworks that enable professionals to build intelligent systems and deploy them efficiently across industries.
Machine learning frameworks: TensorFlow and PyTorch for building and training AI models.
Computer vision tools: Used for image recognition, object detection, and visual data analysis.
Natural language processing: Powers chatbots, sentiment analysis, and language-based AI systems.
Cloud computing platforms: Enables scalable deployment and management of AI solutions.
Data engineering tools: Helps in processing and managing large-scale datasets effectively.
The increasing adoption of AI technologies across industries has created strong demand for professionals who can apply AI solutions to real-world challenges effectively.
Rapid adoption growth: Businesses are integrating AI into operations for efficiency and innovation.
High demand roles: AI-related jobs are among the fastest-growing globally across sectors.
Cross-industry opportunities: Healthcare, finance, retail, and logistics actively hire AI professionals.
Future-proof careers: AI skills remain relevant as technology continues evolving rapidly.
Global job potential: Professionals can explore high-paying opportunities across international markets.
Applied AI offers diverse career opportunities across industries, enabling professionals to work on practical implementations and business-driven AI solutions.
AI engineer: Develops and deploys AI models to solve real-world problems.
Machine learning engineer: Designs and optimizes machine learning algorithms and systems.
AI consultant: Helps organizations implement AI strategies and improve efficiency.
Data scientist: Builds predictive models and analyzes data for insights.
AI product manager: Oversees development of AI-driven products and solutions.
Strong demand for implementation-focused AI talent is supporting competitive packages for roles that combine ML, deployment, and domain application across India and global markets.
| Entry level (0–2 years) | ₹5 LPA to ₹12 LPA — Python, ML fundamentals, and portfolio projects |
| Mid-level (2–5 years) | ₹10 LPA to ₹22 LPA — production models, MLOps, and cross-functional delivery |
| Senior level (5+ years) | ₹20 LPA to ₹38+ LPA — architecture, AI strategy, and team leadership |
A structured learning pathway helps learners build foundational knowledge and progress toward advanced AI expertise required for real-world applications.
Core skill development: Builds knowledge of machine learning, analytics, and AI tools.
Advanced specialization step: Online MSc Data Science in Applied AI focuses on real-world implementation.
Hands-on project exposure: Includes practical learning through projects and case studies.
Career readiness approach: Prepares learners for industry roles with applied training.
A structured curriculum for Online MSc Data Science in Applied AI specialization ensures learners gain both theoretical understanding and practical exposure, helping them build expertise in machine learning, AI systems, and real-world applications.
Industry-oriented curriculum: Designed to align with real-world AI applications and industry needs.
Flexible online learning: Allows learners to study at their own pace without career disruption.
Hands-on project focus: Emphasizes practical implementation through real-world assignments.
Career-focused training: Supports portfolio building and interview preparation.
Future-ready specialization: Covers advanced topics like deep learning, NLP, and AI systems.
Starting a career in Applied AI requires a strategic approach combining education, skill-building, and practical experience to become job-ready.
Learn core technologies: Focus on Python, ML, NLP, and computer vision tools.
Work on real projects: Gain practical experience by solving real-world problems.
Build strong portfolio: Showcase projects demonstrating applied AI skills.
Stay updated trends: Continuously learn new tools and advancements in AI technologies.
The Online MSc Data Science in Applied AI provides a future-ready pathway, enabling learners to build practical expertise and succeed in real-world AI careers.
First University in India: CU Online is the first university to introduce Online MSc Data Science in Applied AI in India.
Application-driven curriculum: Focuses on real-world AI implementation across industries like healthcare, finance, and retail.
Flexible learning experience: Designed for both freshers and professionals to upskill without disrupting existing commitments.
Strong practical emphasis: Encourages hands-on learning through projects, case studies, and real-world datasets.
Career-oriented approach: Helps learners build portfolios, gain industry exposure, and become job-ready for AI roles.
The Online MSc Data Science in Applied AI by Chandigarh University Online is a first of its kind program crafted to prepare professionals for high-impact roles in practical and business-driven AI systems.
The curriculum focuses on applying AI to real-world problems, covering automation, predictive analytics, and data driven decision making using industry-grade tools and technologies.
Delivered through online format with industry aligned content, the program equips learners with job ready skills for next-generation AI and data science roles.
Enroll by 30th April & avail upto 25% early-bird scholarship! Apply Now
