Computer Science and Engineering (Data Science)
Course Code
Start Date
01 July 2026
Study Location
NGI
Qualification
10+2
Department
Department of Engineering
Duration
4 Years
Course Overview
The B.Tech. in Computer Science and Engineering (Data Science) is a 4-year undergraduate program that equips students with skills in machine learning, algorithms, mathematics, and business analytics to extract meaningful insights from data. The program is designed to meet the growing demand for skilled data scientists across industries.
Throughout the curriculum, students study key concepts such as data collection, data preprocessing, exploratory data analysis, predictive modeling, and data visualization. They also build strong foundations in programming, database management, and core computer science concepts essential for data-driven decision making.
The program emphasizes practical learning through projects, internships, and industry exposure, enabling students to solve real-world analytical problems using modern data science tools and technologies.
- Candidates must have passed the 10+2 examination or its equivalent from a recognized board.
- Physics and Mathematics are compulsory subjects, along with one of the following: Chemistry, Biotechnology, Biology, or Technical Vocational subject.
- Candidates must have secured at least 45% marks (40% for reserved categories) in the qualifying examination.
- Candidates must have completed a 3-year Diploma in Engineering OR a B.Sc. degree with Mathematics as a compulsory subject from a recognized institute.
- Candidates must have secured at least 45% marks (40% for reserved categories) in the qualifying examination.
Job opportunities for B.Tech. in Computer Science & Engineering (Data Science) graduates:
- Data Scientist: Extracts meaningful insights from large datasets to support business decision-making and strategic planning.
- Data Engineer: Designs and manages data pipelines for collecting, processing, and storing large-scale structured and unstructured data.
- Data Analyst: Analyzes data to identify trends, patterns, and insights using tools like SQL, Excel, Python, and visualization platforms.
- Business Intelligence Developer: Builds dashboards and BI systems to transform raw data into actionable business insights.
- Machine Learning Engineer: Develops predictive models and AI-driven solutions using machine learning algorithms.
- Big Data Engineer: Works with large-scale data processing systems like Hadoop, Spark, and distributed computing platforms.
- Quantitative Analyst: Uses mathematical and statistical models to analyze financial and risk-related data.
- Predictive Analytics Specialist: Builds forecasting models to predict future trends and business outcomes.
Data Science graduates have strong career opportunities across IT companies, finance, healthcare, e-commerce, and consulting industries. With the rapid growth of Big Data, AI, and analytics, skilled professionals are in high demand globally and can build rewarding careers in both technical and business domains.
Modules
The B.Tech in Computer Science & Engineering (Data Science) program is designed to provide students with strong foundations in computer science along with specialized knowledge in data analysis, machine learning, and intelligent decision-making systems.
Fees and Funding
| Category | Income Limit | Max Reimbursement |
|---|---|---|
| General / OBC / Minority | ₹ 2.0 LPA | ₹ 50,000 |
| SC / ST | ₹ 2.5 LPA | ₹ 84,930 |
| Category | Income Limit | Max Reimbursement |
|---|---|---|
| All Categories | ₹ 2.0 LPA | ₹ 14,775 |
Why NGI
We are committed to empowering students with the knowledge, skills, and values needed to excel in a dynamic world.
Next steps
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