Chanakya University
M.Sc in Data Science
Science (M.Sc.)
Shortlisted by 26+ Students
Location: Bengaluru/Bangalore
Duration: 2 YEAR
Regular / Offline
Average Fees: ₹ 3.05 Lakhs
Highlights Multidisciplinary Learning: Integrates mathematics, statistics, AI, and computer engineering for data analysis. Comprehensive Curriculum: Focus on predictive analysis in sectors like healthcare, education, and governance with strong mathematical and programming foundations. Hands-On Experience: Practical learning through labs, tutorials, and industry internships addressing real-world challenges. Research Focus: Engage in cutting-edge research, multiple projects, and a capstone project with opportunities for publications and conference presentations. Interdisciplinary Collaboration: Work with other academic fields (e.g., Biosciences, Management Sciences) to tackle Big Data challenges. Specialized Electives: Choose advanced courses like graph neural networks, generative AI, and cloud computing to master emerging technologies. Model-Building Skills: Gain expertise in statistical analysis, fine-tuning, and transfer learning, evolving from model users to model creators. Expert Faculty & Seminars: Learn from internationally trained faculty and interact with leading scientists through regular advanced seminars. Industry Alignment: Flexible, industry-relevant curriculum preparing students for modern data science roles.
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M.Sc. in Data Science
The M.Sc. Data Science program is a forward-thinking, hands-on course designed to equip students with the skills to analyze vast datasets and extract valuable insights. This multidisciplinary curriculum blends mathematics, statistics, artificial intelligence, and computer engineering, with a focus on predictive analysis across industries such as consumer behavior, healthcare, education, and governance. Through hands-on learning in labs, tutorials, and internships, students gain practical experience in addressing real-world data challenges. The program emphasizes cutting-edge research, offering multiple projects and a capstone project, with opportunities to present at conferences and publish findings. Collaboration with other academic disciplines provides exposure to Big Data challenges in diverse domains. Students can specialize in emerging areas through advanced electives like graph neural networks, generative AI, and cloud computing while developing advanced model-building skills. With guidance from internationally trained faculty and regular expert seminars, this program prepares students for high-impact careers in industry and academia, empowering them to lead in the ever-evolving world of data science.
Duration: 2years
Total Fees: 3,05,000
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