B.Tech Data Science
Course Overview
The B.Tech program in Computer Science & Engineering – Data Science (CSE-DS) at GNIOT offers a dynamic and forward-thinking curriculum designed to prepare future leaders in the field of data science. Focused on developing strong technical, analytical, and problem-solving skills, the department equips students with the tools needed to transform complex data into actionable insights and solutions. Through hands-on learning, cutting-edge research, and strategic industry partnerships, the department empowers students to tackle real-world challenges with data-driven approaches.
In today's data-driven world, the CSE-DS department plays a pivotal role in shaping the future of digital innovation. Data science drives decision-making across industries by extracting valuable insights from vast datasets, fostering smarter business strategies and informed solutions. By integrating advanced statistical methods, machine learning algorithms, and data analytics techniques, students are prepared to analyze and interpret complex data in innovative ways. As technology continues to revolutionize industries, the expertise cultivated through CSE-DS is essential for solving contemporary problems, advancing technology, and driving impactful change in an increasingly data-centric world.
Curriculum Structure
The B.Tech program in Computer Science & Engineering – Data Science (CSE-DS) at GNIOT offers a dynamic and forward-thinking curriculum designed to prepare future leaders in the field of data science. Focused on developing strong technical, analytical, and problem-solving skills, the department equips students with the tools needed to transform complex data into actionable insights and solutions. Through hands-on learning, cutting-edge research, and strategic industry partnerships, the department empowers students to tackle real-world challenges with data-driven approaches.
In today's data-driven world, the CSE-DS department plays a pivotal role in shaping the future of digital innovation. Data science drives decision-making across industries by extracting valuable insights from vast datasets, fostering smarter business strategies and informed solutions. By integrating advanced statistical methods, machine learning algorithms, and data analytics techniques, students are prepared to analyze and interpret complex data in innovative ways. As technology continues to revolutionize industries, the expertise cultivated through CSE-DS is essential for solving contemporary problems, advancing technology, and driving impactful change in an increasingly data-centric world.
Admission Process
The admission to B.Tech Computer Science program is based on entrance exam scores followed by counseling. Here's the step-by-step process:
Check Eligibility
Candidate must have passed 10+2 examination with Physics, Chemistry, and Mathematics as compulsory subjects with minimum 60% marks.
Appear for Entrance Exam
Appear for BCECE (Bihar Combined Entrance Competitive Examination) or JEE Main. The college accepts scores from both examinations.
Online Application
Fill the online application form on the college website during the application window (typically May-June).
Counseling Process
Shortlisted candidates will be called for counseling based on their entrance exam rank. Document verification and seat allotment happens during counseling.
Fee Payment & Enrollment
Selected candidates need to pay the admission fee and complete the enrollment process to confirm their seat.
Career Opportunities
Data Scientist
Work with large datasets to find patterns and insights
Skills: Python, R, SQL, Machine Learning
Data Analyst
Analyze data and create reports/dashboards
Tools: Excel, SQL, Power BI, Tableau
Machine Learning Engineer
Build AI/ML models for real-world applications
Skills: Python, TensorFlow, Scikit-Learn
Data Engineer
Design and manage data pipelines and databases
Skills: SQL, Hadoop, Spark, Cloud (AWS/Azure)
Business Intelligence (BI) Analyst
Help companies make data-driven decisions
Tools: Power BI, Tableau, SQL
AI Engineer
Work on Artificial Intelligence applications
Skills: Deep Learning, NLP, Computer Vision
Statistician / Data Consultant
Apply statistical models to solve business problems
Top Recruiters
- Infosys
- Wipro
- Accenture
- Amazon
- Microsoft
- IBM