About the Programme
MSc in Data Analytics is a six trimester inter-disciplinary post-graduate degree programme conducted by Department of Statistics and Data Science. This programme is designed for working professionals and graduates who want to launch their career in the in-demand and lucrative field of data analytics. As organizations are looking ways to exploit the power of big data, technology professionals who are experienced in analytics are in high demand. This programme aims to offer thorough knowledge of the theory and practice of data analytics to become a leading practioner in the field of data analytics. This programme accommodates a wide audience of learners whose specific interests in data analytics may be either technical or business focused.
Data Analytics and Statistical Modelling
Develop strong analytical skills using statistical methods, predictive modelling, and data interpretation techniques for real-world problem-solving.
Artificial Intelligence and Machine Learning
Gain expertise in AI, machine learning, deep learning, and generative AI technologies to build intelligent and automated solutions.
Business Intelligence and Data Visualization
Create impactful dashboards, reports, and visual analytics solutions to support strategic business decision-making.
Industry-Oriented Applied Analytics
Apply analytics concepts to domains such as web analytics, IoT, NLP, and real-world industry projects to become job-ready professionals.
Why Choose This Programme?
Industry-Relevant Curriculum
The programme covers modern analytics technologies and tools including AI, machine learning, big data, cloud analytics, and business intelligence aligned with current industry demands.
Designed for Working Professionals
The flexible trimester structure enables professionals and graduates to upgrade their skills while balancing academic and work commitments.
Strong Foundation in Analytics and Statistics
Gain comprehensive knowledge of statistical modelling, data analysis, and predictive techniques essential for data-driven decision-making.
Hands-on Learning with Practical Applications
Learn through real-world projects, case studies, programming exercises, and practical assignments using tools such as Python and R.
Interdisciplinary and Career-Focused Approach
The programme integrates technical, analytical, and business-oriented learning to prepare students for diverse roles in the analytics industry.
High Career Growth Opportunities
Build expertise in high-demand areas such as data science, AI, big data analytics, and visualization, opening pathways to rewarding careers across industries.
Choose Your Track
Develop expertise in transforming raw data into meaningful insights that support strategic business decisions and organizational growth.
Gain advanced knowledge in AI technologies and machine learning techniques used for intelligent automation and predictive analytics.
Build strong technical skills in handling large-scale data systems, databases, and modern analytics technologies.
What You Will Learn
Programme Structure
The programme structure outlines the academic curriculum designed to provide a systematic progression of learning through core subjects, electives, and practical components across semesters, ensuring both theoretical understanding and skill development.
Trimester 1 — Core Skills in Data Analytics, Statistical Computing, and AI Technologies
Trimester 1 — Advanced AI, Machine Learning, Analytics, and Intelligent Systems
Eligibility & Fee Structure
Career Paths
Your Career Roadmap
Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.
I & II Trimesters: Data Analyst, Junior Data Analyst, Reporting Analyst, Business Analytics Associate
III & IV Trimesters: Business Intelligence (BI) Analyst, Big Data Analyst, Business Intelligence Developer
V & VI Trimesters: Quantitative Analyst, Senior Business Intelligence Analyst, Advanced Analytics Specialist, Analytics Consultant
I & II Trimesters: Data Analyst, Junior Data Scientist, Business Intelligence Analyst, Analytics Associate
III & IV Trimesters: Data Scientist, Machine Learning Engineer, Data Engineer, AI Solutions Associate
V & VI Trimesters: Artificial Intelligence (AI) Engineer, NLP Engineer, Computer Vision Engineer Research Engineer (AI/ML), AI Consultant
I & II Trimesters: Data Analyst, Database Analyst, Junior Data Engineer, Technology Solutions Associate
III & IV Trimesters: Big Data Engineer, Cloud Data Associate, ETL Developer, Data Platform Engineer
V & VI Trimesters: Big Data Architect, Cloud Data Engineer, Data Solutions Architect, Technology Consultant, Enterprise Data Engineer
Message from the HOD
Admission Process
- Register with your Email ID
- Login to the Admission Portal
- Fill the Application Form
- Pay Application Fee
- Entrance Test (If Applicable)
- Assessment
- Interview
- Check login page for result
- If selected, Offer Letter attached
- Pay Course Fee Online
- Complete Admission Process
Ready to Apply?
Applications are open. Deadline: -.