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With data driving almost every modern organization today, the skill to analyze and derive insights from it is in high demand.
The Online MCA in Data Analytics equips you with the skills to collect, process, and analyze data while understanding how it drives business outcomes. You start with core computing concepts, then move into analytics tools and methods that reveal patterns, trends, and insights.
Each elective is designed to connect technical expertise with real-world application. By the end of the program, you gain the ability to work across datasets, extract insights, and support operational or strategic decisions. The knowledge you acquire remains valuable across industries and technologies, giving you a career foundation that adapts as data platforms evolve.
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 Data Analytics 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+
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CU Online degree is held in high regard by academicians & corporate leaders across the globe.
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Learn from acclaimed professionals with vast expertise, ensuring a rich & insightful learning experience.
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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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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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Through electives offered with an Online MCA in Data Analytics, you build hands-on expertise in data processing, analysis, and visualization, preparing you to handle complex datasets and deliver actionable insights.
Data Analytics Using Python: You learn to process and analyze large datasets using Python libraries. This helps you uncover trends and build models that support informed decisions.
SQL for Data Analytics: You work with databases to extract, query, and manipulate data efficiently. These skills let you structure datasets for operational and strategic insight.
Web Analytics: You track and analyze website performance and user behavior. Insights from this data help improve engagement and conversion.
Digital Media Analytics: You measure and interpret data from digital campaigns. This enables optimization of marketing strategies and audience targeting.
IoT and Data Analytics: You analyze data generated by connected devices to identify patterns and operational insights. These skills are essential for real-time monitoring and smart solutions.
Data Analytics Using R: You gain statistical analysis and visualization skills using R. This lets you produce meaningful reports and predictive models.
Data Analytics for Decision Making: You learn to interpret results and provide guidance for business decisions. The focus is on practical application to support strategy and operations.
Major Project: You apply your knowledge to a full analytics project. This involves analyzing real-world data to generate actionable recommendations.
The Online MCA in Data Analytics prepares you to convert raw data into insights that drive long-term organizational value. You gain a deep understanding of how data interacts with business processes, technology systems, and decision-making frameworks.
You develop the ability to assess data quality, select the right analysis methods, and interpret results in context. These skills do not lose relevance because they form the foundation of roles that demand critical thinking, structured problem-solving, and strategic insight.
By mastering these principles, you remain prepared to work with evolving tools and technologies while continuing to influence key business decisions.
An Online MCA in Data Analytics suits you if you want to turn data into meaningful business insights.
It is ideal for those with a computing or IT background and for professionals seeking flexible learning while preparing for analytical, technical, or hybrid roles.
Completing this Online MCA in Data Analytics enables you to:
Extract, clean, and analyze large datasets using Python, R, and SQL
Interpret web and digital media analytics to guide operational and marketing decisions
Work with IoT and real-time data for monitoring and smart solutions
Apply statistical and predictive models to support strategic decisions
Present reports and dashboards that communicate insights clearly
Make informed, data-driven decisions across business contexts
The most common career paths for an Online MCA in Data Analytics are as follows -
| Role | Average Salary Range (India) |
|---|---|
| Data Analyst | 4.5 Lakhs – 10 Lakhs |
| Business Analyst | 5 Lakhs – 12 Lakhs |
| Data Scientist | 8 Lakhs – 18 Lakhs |
| Analytics Consultant | 6 Lakhs – 15 Lakhs |
| Digital Analyst | 4 Lakhs – 10 Lakhs |
| IoT Data Analyst | 5 Lakhs – 12 Lakhs |