The Online master's degree program in Data Science offered by Chandigarh University Online is a 2-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 online M.Sc (Data Science) degree program is designed to deliver in-depth and most-relevant skills in conventional areas of data engineering and analysis such as in businesses, finances, industrial and scientific research, as well as in relatively newer areas like 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 2 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.
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.
Subjects | Credits |
---|---|
Python Programming | 4 |
Applied Probability and Statistics | 4 |
Communication and Soft Skills | 3 |
SQL Programming | 4 |
Advanced Database Management Systems | 3 |
Subjects | Credits |
---|---|
Calculus and Linear Algebra for Data Scientists | 4 |
Data Analysis and Visualization | 4 |
Machine Learning | 4 |
Advanced Machine Learning | 4 |
Deep Learning | 4 |
Subjects | Credits |
---|---|
Optimization | 4 |
Java Programming | 3 |
Data Structures and Algorithms | 5 |
Web Technologies | 4 |
Cloud Native Development | 4 |
Minor Project (Software Dev) | 2 |
Subjects | Credits |
---|---|
Natural Language Processing | 4 |
Data Engineering | 4 |
Data Mining and Warehousing | 4 |
Applied Business Analytics | 4 |
Major Project | 4 |
Chandigarh 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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