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B.Tech. in Computer Science & Engineering (Data Science)

Affiliated to Dr. APJ Abdul Kalam Technical University, Lucknow, Uttar Pradesh,
Approved by AICTE, New Delhi.
AKTU College Code - 810

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Course Overview

Program Overview

Duration Department Intake Affiliation Approvals
4 Years B.Tech CSE (DS) 60 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.

Department highlights

B.Tech. Computer Science and Engineering (Artificial Intelligence) Starting from session 2021

This recently added Specialization in Computer Science and Engineering (Artificial Intelligence), is starting from the session 2021. This specialization is very much in the demand. Artificial Intelligence (AI), as we know, enables machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from carom playing computers to self-driving vehicles – rely heavily on Deep Learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by intelligence processing large amounts of data and recognizing patterns in the data. This course discusses AI approaches in diverse fields, including neural networks, signal processing, control, and data mining, in order to present an amalgamated management of machine learning problems and solutions. Hence, this specialization enables students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning and visualization technologies.

Program Outcomes

  • To train them in trending technologies.
  • To introduce upcoming domains like artificial intelligence, Robotics, Augmented reality, Data analytics, Ubiquitous Computing to develop insights for problem solving.
  • Graduates of Computer Science and Engineering will be globally competent and provide sustainable solutions for interdisciplinary problems as team players
  • Graduates of Computer Science and Engineering will engage in professional activities with ethical practices in the field of Computer Science & Engineering to enhance their own stature to contribute society.
  • Graduates of Computer Science and Engineering will acquire specialize knowledge in trending technologies for research, innovation and product development

The department is committed to foster a creative and innovative research environment.

  • To be recognized as the fountainhead of excellence in technical knowledge and research in computer science and engineering to attract students and scholars across the globe
  • To strengthen core competency of students to be a successful, ethical, effective problem solver in Computer Science & Engineering through analytical learning.
  • To promote interdisciplinary research & innovation-based activities in emerging areas of technology globally
  • To facilitate and foster the industry-academia collaboration to enhance entrepreneurship skills and acquaintance with corporate culture.
  • To inculcate in them a higher degree of social consciousness and moral values towards solving interdisciplinary societal problems using industry-academia collaboration

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 2025–2026.

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 CSE-Data Science program helps them succeed in research, project management, and computer science and engineering instruction by equipping students with solid conceptual knowledge.

1st Year CSE - DS
1st sem 2nd sem
SN SUBJECT NAME SUBJECT NAME
1 Engineering Chemistry Engineering Physics
2 Engineering Mathematics-I Engineering Mathematics-II
3 Fundamentals of Electronics Engineering Fundamentals of Electrical Engineering
4 Fundamentals of Mechanical Engineering Programming for Problem Solving
5 Soft Skills Environment and Ecology
6 Engineering Chemistry Lab Engineering Physics Lab
7 Basic Electronics Engineering Lab Basic Electrical Engineering Lab
8 English Language Lab Programming for Problem Solving Lab
9 Workshop Practice Lab Engineering Graphics & Design Lab
10 NSS Sports and Yoga
2nd Year CSE - DS
3rd sem 4th sem
SN SUBJECT NAME SUBJECT NAME
1 Material science  (Maths-III/Math IV/ Math V)
2 Technical communication Universal Human Value and Professional Ethics
3 Data structure Operating System
4 Computer organization & architecture Theory of Automata and Formal Languages
5 Discrete structures & theory of logic Object Oriented Programming with Java
6 Cyber security Operating System Lab
7 Data structure lab Object Oriented Programming with Java Lab
8 Computer organization & architecture lab Cyber Security Workshop
9 Web designing workshop Python Programming/Cyber Security
10 Mini project Sports and Yoga - II / NSS-II
3rd Year CSE - DS
5th sem 6th sem
SN SUBJECT NAME SUBJECT NAME
1 Database Management System Software Engineering
2 Introduction to Data Analytics and Visualization Big Data and Analytics
3 Design and Analysis of Algorithm Computer Networks
4 Departmental Elective-I Departmental Elective-III
5 Departmental Elective-II Open Elective-I
6 Database Management System Lab Software Engineering Lab
7 Data Analytics and Visualization Lab Big Data and Analytics Lab
8 Design and Analysis of Algorithm Lab Computer Networks Lab
9 Mini Project or Internship Assessment* Constitution of India. Law and Engineering / Indian Tradition, Culture and Society
10 Constitution of India. Law and Engineering / Indian Tradition, Culture and Society  
 

Departmental Elective-I

1.      Mathematical Foundation AI, ML and Data Science

2.      Data Warehouse & Data Mining

3.      Business Intelligence and Analytics

4.      Object Oriented System Design with C++

Departmental Elective-III

1.      Cyber Forensic analytics

2.      Image Analytics

3.      Social Media Analytics and Data Analysis

4.      Machine Learning Techniques

Departmental Elective-II

1.      Cloud Computing

2.      Natural Language Processing

3.      Application of Soft Computing

4.      Image Processing

Open Elective-I

1.      Idea to business model boe061 quality control & reliability

2.      Embedded system

3.      Introduction to mems

4.      Object oriented programming

5.      Computer based numerical techniques

6.      Gis & remote sensing

7.      Basics of data base management system

8.      Software project management

9.      Understanding the human being comprehensively human aspirations and its fulfillment
4th Year CSE - DS
7th sem 8th sem
SN SUBJECT NAME SUBJECT NAME
1 HSMC -1 / HSMC-2 HSMC-1 # /HSMC-2 #
2 Departmental Elective-IV Open Elective-III
3 Departmental Elective-V Open Elective-IV
4 Open Elective-II Project 1
5 The Department may conduct one Lab of either of the two Electives (4 or 5) based on the elective chosen for the curriculum. The Department shall on its own prepare complete list of practical for the Lab and arrange for proper setup and conduct accordingly  
6 Mini Project or Internship Assessment*  
7 Project  
 

Departmental Elective-IV

1.      Artificial Intelligence

2.      Natural language processing

3.      High Performance Computing

4.      Cryptography and Network Security

5.      Design & Development of Applications

6.      Software Testing

7.      Distributed Systems

Open Elective-III

1.      Fundamentals of drone technology

2.      Cloud computing

3.      Bio medical signal processing

4.      Entrepreneurship development

5.      Introduction to smart grid

6.      Quality management

7.      Industrial optimization techniques

8.      Virology

9.      Natural language processing

10.  Human values in madhyasth darshan

Departmental Elective-V

1.      Deep Learning

2.      Service Oriented Architecture

3.      Quantum Computing

4.      Mobile Computing

5.      Internet of Things

6.      Cloud Computing Blockchain

7.      Architecture Design

Open Elective-IV

1.      Electric vehicles

2.      Automation and robotics

3.      Computerized process control

4.      Data warehousing & data mining

5.      Digital and social media marketing

6.      Modeling of field-effect nano devices

7.      Modelling and simulation of dynamic systems

8.      Big data

9.      Human values in buddha and jain darshan

10.  Human values in vedic darsana

Open Elective-II

1.      Basics of Data Base Management System

2.      Software Project Management

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.

  • Data Scientist – Analyzing and interpreting complex data to drive business decisions.
  • Data Analyst – Collecting, processing, and analyzing data to identify trends.
  • Machine Learning Engineer – Building and deploying machine learning models.
  • AI Researcher – Conducting research on artificial intelligence and deep learning.
  • Business Intelligence Analyst – Creating reports and dashboards for data-driven decisions.
  • Big Data Engineer – Designing and maintaining data infrastructure for large-scale data processing.
  • Data Engineer – Building and optimizing data pipelines and databases.
  • NLP Engineer – Working on natural language processing and text analytics.
  • Computer Vision Engineer – Developing AI solutions for image and video processing.
  • Quantitative Analyst (Quant) – Using data science in finance and risk management.
  • Healthcare Data Scientist – Applying data science in healthcare analytics.
  • Marketing Analyst – Using data to optimize marketing strategies and campaigns.
  • Operations Research Analyst – Applying data science in logistics and supply chain.
  • Fraud Analyst – Detecting fraud patterns using data science techniques.
  • Cybersecurity Analyst – Analyzing security data to detect and prevent cyber threats.
CSE-Data Science
COURSE
 1st Year 2nd Year 3rd Year 4th Year
CSE-Data Science
 121,000/- 121,000/- 121,000/- 121,000/-
Semester Wise
 70000/- 51000/- 70000/- 51000/- 70000/- 51000/- 70000/- 51000/-

program highlights

B.Tech. in Computer Science & Engineering (Data Science) program is designed to equip students with the skills needed to handle, analyze, and interpret vast amounts of data. This specialized program integrates computer science, machine learning, big data technologies, and artificial intelligence to prepare students for the growing demand in the data-driven industry.

  • Real-World Readiness: Students gain proficiency in essential data science tools and technologies such as SAS, Microsoft Power BI, Tableau, TensorFlow, and more.
  • Affiliations & Approvals: Affiliated with AKTU and approved by AICTE, Ministry of HRD.
  • Advanced Infrastructure:
    • Modern computer labs with high-end hardware, fast internet, and cloud computing capabilities.
    • Dedicated labs equipped with powerful i7 processors and 16GB RAM, enabling large-scale data processing with Hadoop and Spark.
  • Industry & Global Exposure:
    • Collaborations with elite universities and IT companies provide opportunities for conferences, study trips, and student exchange programs.
    • Connections with IBM, Xebia, and AWS Academy enhance employability through industrial projects, internships, hackathons, and coding contests.
  • Scholarships & Financial Aid:
    • Scholarships based on socioeconomic status, athletic achievements, and academic performance.
    • Financial aid available through loans and support programs to ensure equal access to education.

Director (B Tech.)

PROF. (DR.) DEVI KRISHAN PAL SINGH

Area of Interest: Electrical Energy Systems

Prof. (Dr.) Devi Krishan Pal Singh has completed his Ph.D in Electrical Energy Systems in 2006 from IIT Roorkee backed by M.tech from G.B Pant University in 2001. Apart from that Dr. Devi Krishan has a vast collection of awards & recognition. He is a dedicated, resourceful and goal-driven professional educator with diverse experience and strong track record fostering child-centered curriculum and student creativity as a Director, Dean and HOD over his tenure of career.

A self-directed, action oriented professional with over 26 year’s of experience in education and community service.

Dependable mentor with collaborative leadership skills to build solid relationships with students, parents and faculty. He has an excellent record of publishing a number of research papers in national and international publications along with participation in National & International conferences as well.

Publication details:

  • Neel Kamal, D. KP. Singh "Research Review of Solar Photovoltaic Electrical Power Gemein", GE-International Journal of Engineering Research(LIERT) Vol-2, ISSUE 8 October 2014) F-3.022 ISSN (2321-1717), pp. 47-57; UGC
  • Neel Kamal, D. K. P. Singh "Review: Photovoltaic-Thermo Electrical Integrated Power Generation for Desalination Plant", International Journal of Engineering Research and Technology (UERT), IF 1-76, ISSN No. 2249-3131, Volume 6, Number 6 (2013), pp. 45-48 Scopus Index Research paper
  • Neel Kamal, D. K. P. Singh "Hybrid Photovoltaic-Thermo Electrical Power Generation for Water Pumps International Journal of Innovative Technology and Exploring Engineering (LITEE) ISSN: 2278-3075,IF 5.54 Volume-2, Issue-2, January 2013, pp. 93-96 Scopus Index Research paper.
  • Harish Kumar, Singh D. K. P, et al, "Analysis and Performance of Photonic Microwave Filters Based on Multiple Optical Carriers", Springer 2012, Institute of Computer science, social informatics and telecommunication Engineering Janahan lal Stephen (Eds): © Springer-Heidelberg Dordrecht London New York, ISSN: 1865-0929 pp 715-721 impact factor: 0.380
  • Abhijeet Kumar, D. K. P. Singh, et al, "Gas Monitoring and Power Cut-off System for Underground Mines," 7th IEEE Conference on Industrial Electronics and Applications (ICIEA 2012), held from July 18 - 20, 2012 in Singapore.978-1-4577-2119-12526.0002012IEEE,DOI:10.1109/iciea.2012.6360772, pp 455-458,IF: 5.22
  • Harish Kumar, Singh D. K. P., et al "Design & Simulation of Medical Antenna for Bio-medical Applications, IEEE Colloquium Signal processing & its applications, Malaysia during 23-15 March 2012 ,ISBN 978-89-5542-165-8/12/531C02012 IEEE pp 481-481 (poster paper)
  • Harish Kumar, Singh D. K. P., et al, "Analysis and Performance of Photonic Microwave Filters Based on Multiple Optical Carriers, " International Conference on Advanced in Communication Network & computing, Chennai during 24-25 Feb.2012 CNC 2012, ISBN: 978-1-936968-61-9 pp 431-436

dean academics

Dr. Harendra Nagar

Dean Academics

Dr. Harendra Nagar is a distinguished academic leader with over 15 years of experience in higher education and research. Currently serving as the Dean of Academics, Dr. Nagar brings a wealth of knowledge and expertise to the academic community. He holds an impressive array of qualifications — B.Tech., M.Tech., MBA, LLB, Ph.D.— reflecting a rare combination of technical, managerial, legal, and research excellence.

Under his leadership, academic programs have flourished, driven by his strategic vision and commitment to academic excellence. Dr. Nagar has authored and published more than 20 research papers in esteemed national and international journals, showcasing his deep understanding of complex industry challenges and innovative solutions. His multidisciplinary background and research contributions have positioned him as a respected authority in his field, inspiring students and faculty alike.

HOD - apllied science & humanities

Dr. Dhiresh Kumar Pathak

B.Sc., M.Sc., Ph.D.

Dr. B.R. Ambedkar University, Agra

Professional Summary

Dr. Dhiresh Kumar Pathak is a distinguished academic and researcher with over 20 years of experience in his field. With a strong foundation in scientific research and higher education, he has contributed significantly to the advancement of knowledge through his 35 published research papers. His expertise spans across various domains, making a notable impact in his area of specialization.

Key Achievements

  • 20+ years of academic and research experience
  • 35 research papers published in reputed journals
  • Expertise in Polymer and Industrial Chemistry
  • Extensive experience in mentoring students and guiding research projects

Educational Background

  • Ph.D., Dr. B.R. Ambedkar University, Agra
  • M.Sc., Dr. B.R. Ambedkar University, Agra
  • B.Sc., Dr. B.R. Ambedkar University, Agra

Publications & Research Contributions

  • Published 35 research papers in national and international journals

Contact Information

HOD - CSE & Allied Branches

AYUSH SHARMA HOD - CSE & Allied Branches

Area of Interest: Full Stack Development & Data Science

A unique blend of technical expertise with student focused teaching, a dedicated and hardworking professional who is committed to provide a well-balanced, supportive and learning environment for all students. He is pursuing PhD. in Computer Science & Engineering. He obtained his Master’s Degree (M.Tech.(CSE)) with distinction from Teerthanker Mahaveer University and his Bachelor’s Degree (B.Tech.(IT)) from AKTU, Lucknow.

He is passionate, self-motivated, action and result oriented professional having over 10 years of experience of teaching in both UG and PG Engineering colleges.

He has taught various important technical subjects out of which conceptual skills are like Web Designing, Web Technology, Machine Learning, Design and Analysis of Algorithm, Programming in C, Data Structures and many more. He had supervised many UG and PG students for their minor and major projects for enhancing their technical skills. He has also worked as Technical trainer in the field of Web Technology for guiding students who seeks their career in web development. He has participated and lead various events like Faculty Development Program, Workshops, Conferences, Cultural and Sports functions etc. Always ready to learn, teach and innovate as well as tries to incorporate new ways into teaching.

Publication details:

  • Research papers in Proceedings of International Conferences
  • Ayush Sharma, Mohd Salman Siddique and Ambreen Saleem "Ranking Based Searching System with Content Search". In the proceedings of 4th International Conference on System Modeling & Advancement in Research Trends (SMART-2015), TMU Moradabad.
  • Mohd Salman Siddique, Ayush Sharma and Ambreen Saleem "Traffic Analysis of AnthocNet with varying mobility". In the proceedings of International Conference of Advance Research and Innovation (ICARI--2015), New Delhi.

Presented Papers / Conferences Attended:

  • Presented Paper as an Author at SMART- 2015 in TMU, Moradabad, U.P
  • Presented Paper as an Author at ICARI-2015 in Institute of Engineers, Engineers Bhavan, New Delhi.
  • Presented Paper as an Author at NCC-2014 in TMU, Moradabad, U.P.
  • “Literature Review to Optimize the Energy Consumption in Wireless Sensor Network”. International Journal of Computer Science and Mobile Computing, Vol.6 Issue.7, July- 2017, pg. 106-113
  • “Blockchain of internet of things based Earthquake Alarming System in smart cities” chapter publish in book “Integration and Implementation of the Internet of Things Through Cloud Computing Release date ‘June, 2021 “pages 272-287 chapter 14.

Additional Certification & Training

  • Artificial Intelligence
  • Data Science & Machine Learning
  • Internet Of Things (IoT)
  • Cyber Security Ethical Hacking
  • Big Data Hadoop
  • Python
  • PHP For Website Development
  • CISCO (CCNA & CCNP )
  • Android & IOS Application Development
  • Cloud Computing
  • Advance Robotics
  • Augmented Reality & Virtual Reality (AR & VR). Etc.

Infrastructure

SMART CLASSROOMS / LECTURE HALL

The campus is decked with a serene environment, well-tuned for the students and their needs. It has state-of-the-art laboratories and equipment for all the courses we offer.

In GNC, Lecture Hall and rooms are architecturally and aesthetically well designed and are well ventilated. In addition, to traditional blackboards and to make the teaching-learning process multidimensional, Multimedia over-head projectors and LCD projectors are used. Moreover, the faculty adopts not simply the traditional lecture methodology. Various other audio-visual aids are also used to enrich the teaching learning processes.

LABORATORIES

  • PYTHON PROGRAMMING LAB
  • C PROGRAMMING LAB
  • JAVA PROGRAMMING LAB
  • WEB TECHNOLOGY LAB
  • SOFTWARE ENGINEERING LAB
  • OPERATING SYSTEM LAB
  • PROJECT LAB
  • DATABASE MANAGEMENT LAB
  • COMPUTER NETWORK LAB
  • CHEMISTRY LAB
  • PHYSICS LAB
  • MECHANICAL / WORKSHOP LAB

LIBRARY

Library plays a very healthy role throughout our life. It provides a very calm and disciplined atmosphere which helps students to maintain a good concentration on their studies and healthy environment for learning as well as making notes or completing an assignment. GNC Library provides fully air-conditioned & Wi-Fi enabled world-class learning environment. The College has a well-stocked library having nearly 5850 of Text and Reference books with 641 titles and a good number of (20) National / International Journals; magazines and daily newspapers. The library has very rich collections of e-books, online resources to fulfil the research and teaching need of the academic community and audio-video facilities are also provided in the library to facilitate the research and teaching learning activities. There are 04 total numbers of Newspapers. The library has been using the Campus ERP library management software for the library housekeeping operations.

Faculty Members

Faculty Pic Name Designation Educational Qualifications Experience
SANJEEV KUMAR Mr. SANJEEV KUMAR OJHA EXAMINATION CONTROLLER B.TECH., M.TECH. Ph.D.* 29+ YEARS
MOHD PARVAZ Dr. MOHD PARVAZ ASSISTANT PROFESSOR B.Sc., M.Sc. M.TECH., Ph.D. 7+ YEARS
GHULAB NABI Dr. GHULAB NABI AHAMAD ASSISTANT PROFESSOR M.Sc., M.TECH. Ph.D. 9+ YEARS
KULDEEP SINGH Mr. KULDEEP SINGH ASSISTANT PROFESSOR B.TECH., M.TECH. Ph.D.* 9+ YEARS
PRIYANKA KUSHWAHA Ms. PRIYANKA KUSHWAHA ASSISTANT PROFESSOR MCA, M.TECH. Ph.D.* 14+ YEARS
DEEPSHIKHA SHARMA Ms. DEEPSHIKHA SHARMA ASSISTANT PROFESSOR B.TECH., M.TECH. 8+ YEARS
ALI MOHAMMED KHAN Mr. ALI MOHAMMED KHAN ASSISTANT PROFESSOR B.E., M.E. 18+ YEARS
SHIV KUMAR Mr. SHIV KUMAR ASSISTANT PROFESSOR B.TECH., M.TECH. 16+ YEARS
BHARTI SHARMA Ms. BHARTI SHARMA ASSISTANT PROFESSOR B.TECH., M.TECH. 6+ YEARS
HARSH RAI Mr. HARSH RAI ASSISTANT PROFESSOR B.TECH., M.TECH. Ph.D.* 16+ YEARS
manvendra singh Mr. MANVENDRA SINGH ASSISTANT PROFESSOR B.TECH., M.TECH. 7+ YEARS
RANJANA SHARMA Ms. RANJANA SHARMA ASSISTANT PROFESSOR B.TECH. M.TECH. 10+ YEARS
SNEHA RAINA Ms. SNEHA RAINA ASSISTANT PROFESSOR BCA, MCA 4+ YEARS
BHUMIKA GAHLOT Ms. BHUMIKA GAHLOT ASSISTANT PROFESSOR B.TECH., MBA 3+ YEARS
SURUCHI KUMARI Ms. SURUCHI KUMARI ASSISTANT PROFESSOR BCA, MCA 4+ YEARS
KULDEEP SHARMA Mr. KULDEEP SHARMA ASSISTANT PROFESSOR BCA, MCA 2+ YEARS
POOJA NAGAR Ms. POOJA NAGAR ASSISTANT PROFESSOR B.SC., M.SC. 2+ YEARS
KUNAL CHAUHAN Mr. KUNAL CHAUHAN ASSISTANT PROFESSOR B.A.(H), M.A.(H) 3+ YEARS

FAQ

1.Which is the best engineering college in Uttar Pradesh?

Ans- Greater Noida College is one of the best engineering colleges in Uttar Pradesh. The Greater Noida College is a well-known and leading group among India's most prestigious educational institutions, and it is among the Top engineering colleges in UP (Uttar Pradesh). Our organization is doing everything it can to provide our country's youngsters with a high-quality education and to assist them in planning for their future while also instilling social responsibility in them. Our main purpose is to instil compassion, moral values, and ethics in young minds so that they can achieve greater success in life.

2. What makes an engineering college good?

Ans-The Greater Noida College as being among the best engineering colleges in Uttar Pradesh provides quality engineering program offered by a regionally recognised university that is also programmatically accredited by the Accreditation Board for Engineering and Technology (ABET). Good colleges are respected by employers and professional organisations in the engineering field.

3. What is the career scope of engineering?

Ans- A bachelor's degree in engineering can lead to a range of high-paying, in-demand careers. Engineering professions have a compensation that is often higher than the national median, as well as a relatively good growth prognosis.

4. How can I get admission in private engineering?

Ans: - There is a potential of receiving direct admission to most private engineering colleges without taking an entrance exam. Such admissions will be classified as management quota admissions, with management quota fees being higher than entrance-based exam fees.

5. Which is the best private Engineering College in Noida?

Ans- Greater Noida College is one of the best private Engineering Colleges in Noida.

6. What are some of the good colleges of AKTU for a B. Tech?

Ans- AKTU is now associated with around 700 engineering colleges in Uttar Pradesh.GN Group of college is one of the top ten B. tech colleges of AKTU.

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Best BTech Colleges in Delhi NCR | Best BTech Colleges in Greater Noida | Best Engineering Colleges in Delhi NCR | Best Engineering Colleges in Greater Noida | Best Engineering Colleges in UP
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