B.Tech (Data Science)

Overview

B.Tech in Data Science is one of the most rapidly growing undergraduate engineering Programs in the modern technological landscape. With the exponential increase in data generation, organizations across industries rely on data-driven insights for decision-making and innovation.

Data Science is an interdisciplinary field that combines computer science, statistics, mathematics, and domain knowledge to extract meaningful insights from structured and unstructured data.

The B.Tech Data Science Program is designed to build expertise in data analysis, machine learning, and intelligent decision-making systems. Students are trained to work with large datasets, develop predictive models, and apply analytical techniques to real-world problems.

The curriculum integrates core computer science subjects with advanced data science concepts, ensuring a balance between theory and practical application. Students also gain exposure to modern tools, Programming languages, and industry practices.

Duration

B.Tech (Data Science) is a 4-year undergraduate Program (8 semesters) that equips students with strong analytical, Programming, and problem-solving skills. The Program focuses on transforming raw data into actionable intelligence using advanced computational techniques.

Key Areas of Study

• Data Science Fundamentals
• Machine Learning
• Data Mining & Data Warehousing
• Big Data Analytics
• Statistical Analysis & Probability
• Data Visualization
• Artificial Intelligence
• Python, R & SQL Programming

Program Highlights

• Industry-oriented curriculum aligned with latest data technologies
• Strong focus on practical learning, projects, and case studies
• Exposure to real-world data analysis and business applications
• Advanced computing labs and analytical tools
• Internship opportunities and industry interaction

Eligibility

To be eligible for admission in B.Tech (Data Science), candidates must:

• Have passed 10+2 examination with Physics and Mathematics as compulsory subjects
• Additional subjects may include Chemistry / Computer Science / IT / Biotechnology

Minimum qualifying marks as per university norms (generally 45–50%)

Admission Process

Admissions are based on merit and/or entrance examination performance. Candidates are selected based on their academic performance and institutional guidelines.

Applicants are required to submit:

• 10th & 12th mark sheets
• ID proof
• Migration certificate
• Domicile certificate
• Passport-size photographs

Infrastructure

The institute provides a modern and technology-driven learning environment with:

• Well-equipped computer laboratories
• High-speed internet and data analytics tools
• Digital library and research resources
• Smart classrooms and seminar halls
• Workshops, seminars, and industry interaction sessions

Students also participate in internships, live projects, and research activities to enhance their practical exposure.

Career Opportunities

B.Tech in Data Science offers diverse career opportunities in multiple industries. Graduates can pursue roles such as:

• Data Scientist
• Data Analyst
• Machine Learning Engineer
• Business Intelligence Analyst
• Big Data Engineer
• AI Specialist

With the growing importance of data in every sector, this Program opens pathways to high-demand and high-growth careers.