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B.Tech in Computer Science & Engineering (Data Science)
Engineering (B.E. / B.Tech)
Shortlisted by 0+ Students
Location: Hyderabad
Duration: 4 YEAR
Regular / Offline
Average Fees: ₹ 18 Lakhs
Highlights The B.Tech in Computer Science & Engineering (Data Science) at Sreenidhi University is a four-year undergraduate programme that integrates core computer science concepts with advanced data science and analytics. The programme is designed to help students develop expertise in data analysis, machine learning, statistical modelling, and data-driven decision-making. Through a blend of theory and practice, students gain exposure to modern tools and technologies in the rapidly evolving field of data science.
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B.Tech in Computer Science & Engineering (Data Science) at Sreenidhi University
The B.Tech CSE (Data Science) programme is designed to equip students with the knowledge and technical skills needed to analyze large volumes of data and derive meaningful insights to inform decision-making. The curriculum begins with strong foundations in computer science, programming, databases, algorithms, and software development before progressing to specialised subjects such as data mining, machine learning, big data analytics, data visualization, and statistical modelling. Students gain practical exposure through laboratory sessions, project-based learning, and hands-on work with industry-relevant tools and technologies. The programme encourages analytical thinking, problem-solving, and innovation while enabling students to understand how data can be leveraged across various industries. By combining computing expertise with data science capabilities, the course prepares graduates to thrive in a data-driven digital economy.
Why Choose B.Tech CSE (Data Science) at Sreenidhi University?
• Specialized curriculum that blends Computer Science Engineering with Data Science and Analytics.
• Strong emphasis on programming, algorithms, databases, and data-driven problem-solving.
• Exposure to emerging areas such as machine learning, data mining, big data analytics, and data visualization.
• Practical learning through dedicated laboratories, projects, and hands-on training.
• Opportunities to work with industry-relevant tools and technologies used in data science applications.
• Flexible academic structure that supports interdisciplinary learning and skill development.
• Focus on innovation, critical thinking, and analytical decision-making.
• Research-oriented learning environment that encourages exploration of real-world data challenges.
• Preparation for high-growth careers in data science, analytics, artificial intelligence, and business intelligence.
• Industry-aligned curriculum designed to build future-ready technical and professional competencies.
Duration: 4 Years
Annual Fees: INR 4,50,000
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