Course Overview
Program Overview
Duration | Department | Intake | Affiliation | Approvals |
---|---|---|---|---|
4 Years | B.Tech CSE | 180 | Dr. APJ Abdul Kalam Technical University(AKTU) | AICTE |
The B. Tech CSE (Data Science) curriculum offered by Greater Noida College is intended to give students the abilities and information needed to succeed in the fast-paced profession of data science. The main goal of the program is to use various statistical techniques to find patterns in data and extract insightful information. The program's emphasis on Data science is one of its unique features. This entails focusing on a particular subject or talent within the sector so that students can become experts in that area.
Students will be able to use AI-driven insights for applications in academics, engineering, Cybersecurity, analytics, marketing, and more thanks to the curriculum's advanced analytics and AI components. This guarantees that graduates are ready to handle the rapidly changing data science and artificial intelligence world.
Our curriculum is designed in a way that promotes critical thinking and self-directed learning. Additionally, the program emphasizes the value of gaining real-world experience through capstone projects. Under the supervision of seasoned mentors, these projects give students a practical introduction to real-world data difficulties and allow them to apply theory to real-world situations. It trains students to become skilled data scientists who can glean insightful information from large, complicated datasets.
Program Highlights
- To prepare you for real-world data analysis difficulties, students in the B. Tech Computer Science & Engineering (Data Science) program at GNC become proficient in key data science tools and technologies, including SAS, Microsoft Power BI, Tableau, TensorFlow, and more.
- The program comes with a seat intake of 60 and a fee structure of 4.84 lakhs.
- The program is affiliated with AKTU and approved by AICTE, Ministry of HRD.
- Modern computer labs with top-of-the-line hardware, fast internet, and cloud computing capabilities provide students with real exposure to cutting-edge technology.
- Large-scale data processing and analysis are made possible by the practical immersion in distributed computing frameworks like Hadoop and Spark which is made possible by dedicated labs outfitted with potent I7 processors and 16GB RAM.
- Take advantage of GNC’s collaborations with elite universities and IT companies to extend your knowledge and comprehension of various cultures by taking part in conferences, study trips, and student exchange programs.
- Make use of our connections to top companies in the field, including IBM, Xebia, and AWS Academy, to enhance your employability and practical skills through industrial projects, internships, hackathons, and coding contests.
- Take advantage of the scholarships that GNC offers based on socioeconomic status, athletic prowess, and academic accomplishment. You can also get financial aid through loans and other programs to guarantee equal access to higher education.
Program Objectives:
Students enrolled in the B. Tech CSE (Data Science) program at GNC will be able to:
- Be ready with a broad variety of knowledge in several areas of data science, including gathering, analysing, and modelling massive and unstructured data sets.
- Utilize data science concepts to deliver practical business solutions.
- Produce graduates who can continue higher education and research, become effective data scientists in all industries, or develop into entrepreneurs.
Eligibility Criteria
Four-year B. Tech CSE in Data Science
Direct Admission: Interested candidates for direct admission must complete the 10+2 exam or its equivalent from any recognized board or school with a minimum percentage of 45% for the General Category or 40% for the SC/ST Category without honours in Mathematics, Physics, and one of the optional subjects in Chemistry, Biology, or Computer Science.
With UPSEE Guidance: Candidates are shortlisted based on their JEE (Main) scores for admission to B. Tech CSE in Data Science program beginning in the academic year 2024–2025.
Three-year B. Tech Lateral Entry Program, Second Year
Applicants for the general category must have received a B.Sc. or diploma in engineering with an aggregate score of 45%, or 40% for those in the SC/ST category. These seats are only available to students who have passed the UP or UP Domicile qualifying test..
Syllabus
B. Tech CSE in Data Science
Our B. Tech Data Science program helps them succeed in research, project management, and computer science and engineering instruction by equipping students with solid conceptual knowledge.
Semester 1 | Semester 2 |
---|---|
Professional English and Soft Skills /Engineering Graphics and Computer-Aided Design | Analytical Mathematics |
Matrices and Calculus | Engineering Physics/ Engineering Materials |
Engineering Physics/Engineering Materials | Professional English and Soft Skills /Engineering Graphics and Computer-Aided Design |
Problem Solving Using C | Introduction to Digital Systems / Engineering and Design |
Introduction to Digital Systems / Engineering and Design | Sustainable Engineering Systems |
Engineering Immersion Lab | Data Structures |
Engineering Physics Lab/ Materials Chemistry Lab | Python for Data Science |
- | Engineering Immersion Lab |
- | Engineering Physics Lab/ Materials Chemistry Lab |
Semester 3 | Semester 4 |
Applied Linear Algebra | Discrete Mathematics |
Design and Analysis of Algorithms | Digital Marketing Analytics |
Database Management Systems | Data Wrangling |
Java Programming | Data Handling and Visualization |
R for Data Science | Department Elective-II |
Department Elective-I | Non-Department Elective–II |
Non-Department Elective- I | Data Wrangling Lab |
Database Management Systems Lab | Data Handling and Visualization lab |
- | Design Project-I |
- | Internship |
Semester 5 | Semester 6 |
Probability and Statistics | Software Project Management |
Business Intelligence and Analytics | Machine Learning |
Predictive Modeling and Analytics | Data Warehousing and Data Mining |
Artificial Intelligence | Modern Software Engineering |
Professional Ethics and Life Skills | Business Economics |
Department Elective-III | Department Elective-IV |
Non-Department Elective–III | Non-Department Elective–IV |
Business Intelligence and Analytics Lab | Data Mining Tools Lab |
Design Project with IoT | - |
Semester 7 | Semester 8 |
Text Analytics and Natural Language Processing | Project & Viva – voce |
Big Data and Analytics | - |
Time series analysis and Forecasting | - |
Deep Learning | - |
Department Elective–V | - |
Non-Department Elective-V | - |
Real-time Case Study Lab | - |
Design Project-III | - |
Career Opportunities
The B. Tech Computer Science & Engineering (Data Science) curriculum at GNC presents an intriguing future scope for graduates. The course prepares students to gather, handle, evaluate, and present large amounts of data to support important business decisions.
Graduates of the program are well-positioned by our placement team to succeed in a data-driven world that is transformed by these innovative technologies. Students who were hired through our campus drive not only possess a thorough understanding of data analysis, data engineering, and data-driven decision-making, but also turned out to be great assets in a variety of fields, such as technology, e-commerce, healthcare, and finance.
With their technical expertise and domain-specific knowledge, our graduates have succeeded in positions such as data scientists, machine learning engineers, analysts, and analysts. This degree opens opportunities for a dynamic career path in the rapidly developing field of data science in addition to offering a solid academic foundation.
Job Profile | Average Salary (In INR) |
---|---|
Data Architects | Up to INR 10 Lakhs |
Financial Modeller | Up to INR 8.05 Lakhs |
Data Engineers | Up to INR 8.69 Lakhs |
Clinical and Pharmaceutical Data Analyst | Up to INR 3.06 Lakhs |
Database Administrators | Up to INR 10 Lakhs |
Business Intelligence Analyst | Up to INR 5.8 Lakhs |
Statistician | Up to INR 5 Lakhs |
Placement Stats: Top Recruiters
The placement rates for the Greater Noida College’s B. Tech Computer Science & Engineering (Data Science) program are exceptional, with an average CTC of 8.7 LPA and a maximum CTC of 26.41 LPA. Our placement cell has regularly drawn elite companies and tech behemoths from a range of industries who enthusiastically hire data science graduates from GNC.
These companies include Google, Microsoft, Amazon, IBM, Oracle, Amazon, eBay, Deloitte, Accenture, McKinsey, and Walmart, as well as leaders in social media and telecoms like Facebook, Twitter, LinkedIn, Verizon, and AT&T.
Leaders in the financial services industry and start-ups like Visa, Citigroup, JPMorgan Chase, and Goldman Sachs, frequently visit the GNC campus to seek out graduates for their data-driven insights.
FEE STRUCTURE
B.Tech CSE | ||||||||
---|---|---|---|---|---|---|---|---|
COURSE |
1st Year | 2nd Year | 3rd Year | 4th Year | ||||
B.Tech CSE |
121,000/- | 121,000/- | 121,000/- | 121,000/- | ||||
Semester Wise |
70000/- | 51000/- | 70000/- | 51000/- | 70000/- | 51000/- | 70000/- | 51000/- |