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Program Overview

The B.Tech in Data Science is a four-year undergraduate program designed to equip students with the knowledge and technical expertise required to analyze, interpret, and derive meaningful insights from vast amounts of data. This program blends computer science, statistics, and machine learning to solve real-world challenges across industries such as finance, healthcare, e-commerce, and more.

Students will gain hands-on experience in Data Analytics & Predictive Modeling Machine Learning & Deep Learning Algorithms Big Data Technologies (Hadoop, Spark, etc.) Data Visualization & Business Intelligence Tools Cloud Computing & Database Management

The curriculum is designed to provide students with a strong foundation in data science methodologies, along with industry exposure through live projects, internships, and research opportunities.

Duration
4 Years

Applications Open for 2025

Programme Name

B.Tech CSE - Data Science

Career Opportunities

A B.Tech in Data Science opens doors to high-paying and in-demand career roles across various sectors. Some of the top job roles include:

  • Data Scientist – Extract meaningful insights and develop AI-powered solutions.
  • Machine Learning Engineer – Design and deploy machine learning models for automation.
  • Business Intelligence Analyst – Leverage data to drive strategic business decisions.
  • Big Data Engineer – Develop large-scale data architectures and cloud-based solutions.
  • AI & Data Analyst – Utilize AI to optimize business processes and decision-making.
  • Quantitative Analyst – Apply data science techniques in finance and risk management.
  • Data Architect – Design and manage secure and scalable data infrastructures.
  • Cybersecurity Data Analyst – Use analytics to predict and prevent cyber threats.

Scholarship

*Terms and Conditions Apply

  • Scholarships are granted based on the order of application and are applied as fee adjustments.
  • To retain the scholarship throughout the duration of the program, students must maintain a minimum academic performance of 8 CGPA in all semesters, ensure at least 80% attendance, and avoid any disciplinary issues during their course of study."

Eligibility

The candidate must have passed 10+2 (Intermediate) or equivalent examination with the following subjects:

  • Mathematics
  • Physics
  • Chemistry (or any other relevant vocational subject)

Candidates must have secured a minimum of 50% aggregate marks (45% for reserved category students) in the qualifying examination.

Selection

Selection will be based on merit of Class XII Best of 3 subjects score (comprising of Physics and Maths as compulsory subjects and any other third subject with highest score)

Note : Third subject should not be vocational- Music, Dance, Painting, Home Science, Arts, etc

Program Highlights

  • Industry-Integrated Curriculum: Developed in collaboration with data science professionals and tech leaders.
  • Cutting-Edge Laboratories: Access to high-performance computing labs and real-world datasets.
  • Capstone & Research Projects: Work on industry-relevant case studies and AI-driven data solutions.
  • Internships & Industry Collaborations: Gain hands-on exposure with top companies in data science and analytics.
  • Certifications & Workshops: Training in Python, R, SQL, Power BI, and AI-driven analytics.

Key Recruiters

Frequently Asked Questions (FAQs)

A:Candidates must have completed 10+2 with Physics, Mathematics, and Chemistry/Computer Science, along with qualifying scores in relevant entrance exams (JEE Main/State-Level Engineering Tests).

A:The program spans four years (8 semesters), covering foundational to advanced topics in data science and analytics.

A:The program provides practical exposure to real-world datasets, industry-based projects, AI-driven analytics, and research opportunities.

A: Yes! The university collaborates with leading tech firms and data-driven enterprises, offering internships and live projects.

A: Graduates can pursue careers in data science, artificial intelligence, business analytics, finance, healthcare, cybersecurity, and more.

A: Students will gain proficiency in Python, R, SQL, Java, and other data-centric languages, essential for data analysis, machine learning, and AI applications.

A: Yes! Graduates can opt for M.Tech, MBA in Analytics, or international certifications in AI & Data Science, or even pursue research opportunities in top universities worldwide

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