

B.Tech Computer Science and Engineering Data Science
Offered by Greater Noida Institute of Technology
Affiliated to Dr. A.P.J. Abdul Kalam Technical University AKTU Lucknow
Under GNIOT Group of Institutions
1. About the Course
The B.Tech in Computer Science and Engineering Data Science is a four year undergraduate engineering program designed to develop professionals skilled in data analysis, statistical computing, machine learning foundations, and data driven decision making.
The program combines core computer science subjects with specialized knowledge in data science, big data technologies, data visualization, predictive analytics, and computational statistics. Students are trained to extract meaningful insights from large and complex datasets using modern tools and programming techniques.
Through a strong emphasis on practical learning, projects, and real world data applications, the course prepares students for careers in data driven industries and technology organizations.
2. Course Eligibility
| Qualification | Eligibility Criteria |
|---|---|
| 10 plus 2 Examination | Passed Intermediate from U P Board or any equivalent recognized board |
| Mandatory Subjects | Physics and Mathematics |
| Optional Subject | Chemistry or Biology or Bio Technology or Technical Vocational |
| Minimum Marks General and OBC | 45 percent aggregate without grace |
| Minimum Marks SC and ST | 40 percent aggregate without grace |
| Mode of Admission | JEE Main or UPSEE Counselling or Direct Admission as applicable |
3. Fee Structure Session 2026 to 2027
| Academic Year | Total Fee INR |
|---|---|
| First Year | 1,80,000 |
| Second Year | 1,75,000 |
| Third Year | 1,75,000 |
| Fourth Year | 1,75,000 |
Fee Break up
| Fee Head | Amount INR |
|---|---|
| Tuition Fee Per Year | 91,370 |
| Registration Fee | 10,000 |
| Other Academic Fees | 73,630 |
| Security Deposit One Time Refundable | 5,000 |
4. Admission Process
Admission to the B.Tech Computer Science and Engineering Data Science program is conducted through:
JEE Main or UPSEE Counselling under AKTU guidelines
Direct Admission based on academic eligibility and seat availability
The admission process includes document verification, fee submission, and confirmation of admission as per university and institute norms.
5. Infrastructure and Laboratories
The department provides modern infrastructure and specialized laboratories including:
Advanced computer laboratories
Data analytics and programming labs
Machine learning and statistical computing environments
Big data and data visualization tools
Smart classrooms with digital teaching facilities
These facilities enable students to gain hands on experience in data driven technologies.
6. Training and Placement Cell
The Training and Placement Cell at GNIOT supports Data Science students through:
Technical training in data analytics and computing tools
Aptitude and logical reasoning sessions
Project based learning and industry exposure
Resume development and interview preparation
Internship and placement assistance
7. Placement Highlights
| Placement Parameter | Details |
|---|---|
| Recruiters Associated | 400 plus companies |
| Highest Salary Offered | 70.00 LPA |
| Average Salary | 6.50 LPA |
| Placement Domains | Data Science Analytics IT Software and Technology Services |
8. Career Scope
Graduates of B.Tech Computer Science and Engineering Data Science can pursue careers as:
Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
Software Developer
Data Engineer
Research Analyst
Students may also opt for higher education such as M.Tech MBA MS or professional certifications in data science and analytics.
9. Top Recruiters
Data Science graduates are recruited by organizations across multiple sectors including:
Information Technology and Software Companies
Data Analytics and Consulting Firms
Banking and Financial Technology Organizations
E commerce and Digital Enterprises
Research and Development Organizations
Technology Startups and Product Based Companies
10. Why Choose B.Tech Computer Science and Engineering Data Science at GNIOT
The program offers an industry focused curriculum, strong practical exposure, advanced computing infrastructure, experienced faculty, and dedicated placement support, enabling students to build successful careers in data science and analytics.
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