B.Tech. - Computer Science & Engineering (Data Science)
Course Code
Start Year
2023
Study Location
North Campus
Qualification
10+2
Department
Department of Computer Science & Engineering
Duration
4 Years
Course Overview
B.Tech. in Computer Science and Engineering (Data Science) is a 4-year undergraduate program that provides students with strong foundations in computer science along with specialized knowledge in data analysis, machine learning, artificial intelligence, and intelligent decision-making systems.
Students learn programming, algorithms, database systems, big data analytics, cloud computing, data visualization, statistical analysis, predictive analytics, and business intelligence technologies through classroom learning and practical laboratory sessions.
The curriculum is designed to prepare students for modern data-driven industries by developing analytical thinking, problem-solving ability, and practical implementation skills required to work with large-scale structured and unstructured datasets.
B.Tech First Year +
- 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.
B.Tech Lateral Entry +
- 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.
The curriculum includes subjects such as Programming Languages, Data Structures, Algorithms, Database Management Systems, Data Mining, Machine Learning, Big Data Analytics, Artificial Intelligence, Cloud Computing, Data Visualization, Statistical Analysis, Business Intelligence, Cyber Security, and Internet of Things (IoT).
Fees and funding
| Academic fee (annual) | AKTU University exam fee (annual) |
|---|---|
| ₹ 84,930 | ₹ 7,500 |
The institute supports Uttar Pradesh state scholarships under the Post Matric / Dashmottar scheme. These scholarships are designed to help eligible students continue their education with financial assistance from the Government of Uttar Pradesh.
Major funding streams- Social Welfare Department Scholarships: For students belonging to the General and SC/ST categories, including economically weaker students where applicable.
- Backward Class Welfare Scholarships: For OBC students pursuing recognised post-matric and professional programmes.
- Minority Welfare Scholarships: For eligible students from minority communities such as Muslim, Sikh, Christian, Buddhist, Jain, and Parsi.
The Post Matric (Dashmottar) scholarship may provide tuition reimbursement and maintenance support to eligible UP students studying in recognised institutions. Amounts and benefits vary by course, category, and government guidelines for the academic year.
Income ceilings- General / OBC / Minority: Annual family income up to ₹2.0 lakh.
- SC / ST: Annual family income up to ₹2.5 lakh.
To apply, the student should be a permanent resident or domicile holder of Uttar Pradesh, enrolled in a recognised programme, and admitted through the applicable route such as counselling where mandated by the scheme. The student must also have an Aadhaar-linked bank account for DBT transfer.
Mandatory requirements- Minimum qualifying marks:Generally 60% in the last qualifying examination for many professional courses, subject to scheme rules.
- Attendance:Students must maintain the attendance level required by the institute and scholarship authorities; many institutions report attendance for verification.
- Entrance qualification:Valid JEE Main / CUET / equivalent qualification, wherever required by the programme or admission route.
- Aadhaar card.
- Caste certificate, if applicable.
- Tehsildar-issued income certificate.
- Recent fee receipts.
- Previous academic mark sheets.
- Counselling or allotment letter, where applicable.
- Bank account details linked with Aadhaar for DBT.
The scholarship cell assists students with application guidance, document verification, and online portal submission to help ensure timely and accurate processing. Students are also guided on Aadhaar linkage, bank verification, and form correction before final submission.
Important noteScholarship benefits are subject to the official rules of the Uttar Pradesh government and may change from year to year. Students should apply only through the official portal and submit complete, correct documents to avoid rejection or delay.
- To encourage academic progression within Naraina Group of Institutions by offering tuition relief when students continue higher education inside the Naraina Group.
- Applies when a student progresses to another NGI programme/year without interruption and meets NGI’s academic and conduct requirements.
How to apply
- Apply to the institute’s student services cell at admission for the subsequent NGI programme. Approval is subject to academic standing and administrative verification.
Why NGI
We are committed to empowering students with the knowledge, skills, and values needed to excel in a dynamic world.
Encouraging students to explore innovation through advanced research facilities and practical project-based learning.
Next steps
Experience campus at an Open Day. Can't visit? Receive regular email updates or ask current students and staff questions about life at NGI.