BTech CSE – Data Science
About
The NorthCap University’s (NCU) BTech CSE in Data Science is a groundbreaking data science programme meticulously designed to equip students with skills including analysing, interpreting and extracting insights from large datasets. This interdisciplinary programme is of Statistics, Machine Learning, Artificial Intelligence, and Big Data Technologies that will address the problems occurring in various domains of life.
There are only a few high-class BTech in Data Science colleges in Gurgaon offering something as unique as this course. NCU offers its students the immersive opportunity of undertaking intensive training in programming languages such as Python, TensorFlow, PyTorch, Tableau, and SQL. It will enable proficiency in specializations across areas including data visualization, predictive modeling, or deep learning. AI-powered research facilities, advanced laboratories, and industry collaborations are offered on campus so that students may develop practical exposure to emerging trends related to finance, healthcare, e-commerce, or cybersecurity.
The industry is growing rapidly as demand for data science professionals has increased by 650% since 2012 and more new jobs are estimated to be 11.5 million by 2026. The fact that the majority (about 80% of data science tasks) are estimated to be automated soon will further push businesses to invest heavily in Big Data analytics, with 95% of enterprises leveraging AI insights. Highly paid professionals in the field earn approximately $124,000 per annum, and a top expert reaches even $200,000, hence making data science programmes a career choice that would be both future-proof and lucrative.
NCU’s BTech CSE programme with a specialisation in Data Science is designed to prepare students for high-impact roles in the technologically strong sectors: finance, health care, and government. Recognised as one of the best data science courses in Gurgaon, NCU’s BTech CSE in Data Science programme offers opportunities for entrepreneurship and further education at globally reputed universities.
Highlights
Our BTech in Computer Science with Data Science combines cutting-edge Data Science knowledge with practical hands-on experience. Focused on fostering innovation, experiential learning, industry-driven projects, and real-world applications, this programme equips students to succeed in the fast-evolving field of Data Science. Strong industry partnerships offer invaluable exposure, ensuring graduates possess the skills necessary to excel in Data Science-driven careers.
Experiential Learning
At The NorthCap University, we prioritize experiential learning to bridge the gap between theory and practice. By first building a strong foundation in Computer Science, students can seamlessly apply their theoretical knowledge in real-world Data Analytics scenarios. This hands-on approach ensures that no matter what career path you choose, you will gain the practical skills and experience needed to excel and achieve your professional goals.
Global Certifications
At The NorthCap University, students in the Data Science specialization receive additional training and certification support through co-curricular activities, ensuring they stay ahead in the competitive job market. Along with Global Certificates in Data Science, students have the opportunity to earn certifications in Microsoft Certified AI-900, AWS Cloud Solutions, Microsoft Azure, and MongoDB, among others. These internationally recognized certifications cover essential areas such as Machine Learning, Cloud Computing, Big Data, and NoSQL databases, providing students with in-demand skills that are highly valued by top employers worldwide.
Center of Excellence for Data Science
The Center of Excellence for Data Science at The NorthCap University offers state-of-the-art infrastructure, industry collaborations, and a focus on innovation in Data Science and AI. With specialized training programmes, certifications in Big Data Analytics, AWS Cloud, Microsoft Azure, and MongoDB, and hands-on research opportunities, the center ensures students gain practical experience and expertise in high-demand areas. Led by expert faculty and supported by industry mentors, the center prepares students for successful careers in Data Science, equipping them with the skills required by top global companies.
Honeywell Centre of Excellence
Through our Honeywell Centre of Excellence, students gain access to cutting-edge Data Science, AI and ML research, industry case studies, and specialized training programmes. This collaboration fosters innovation, offering students hands-on exposure to the latest AI advancements and opportunities to work on groundbreaking projects with industry experts.
Finishing School of Employability by Infosys Foundation
The Finishing School of Employability by Infosys Foundation offers specialized training for Data Science students at The NorthCap University, enhancing their industry readiness. The programme provides hands-on learning in key areas such as Java Development, AWS Cloud Solutions, and Machine Learning, equipping students with the practical skills and certifications needed for a successful career in Data Science. With a focus on real-world applications, it ensures that students are well-prepared to meet the demands of top employers.
Curriculum – Detailed Programme Structure
The Computer Science and Engineering (CSE) programme is designed as a four-year (eight-semester) course that blends fundamental computer science principles, AI & ML technologies, specialized electives, and industry exposure. The curriculum is strategically structured to ensure students acquire strong foundational knowledge, build expertise in specialized areas, and gain hands-on experience through internships and projects. The programme is divided into the following phases:
Foundation of the Programme (Year 1)
- Focuses on foundational courses for engineering and core computer science and programming fundamentals to build a strong technical base.
- Courses cover essential topics such as Programming in C, C++, and Java.
Foundation of Specialization (Year 2)
- Introduces students to specialized courses such as Python programming to enhance their coding proficiency and introduce them to coding for machine learning.
- Strengthens knowledge in some of the foundational courses such as Data Structures and Algorithms, Database Management Systems (DBMS), Computer Networks, Discrete Mathematics, Analysis and Design of Algorithms and Cyber Security.
- Emphasizes practical learning and real-world applications through lab work and hands-on projects.
- Includes a mandatory summer internship with industry at the end of the year to provide exposure to professional environments and industry practices.
Deep dive into Specialization (Years 3 & 4)
- Focus on Data Science technologies.
- Students cover some of the advanced computer science courses such as Software Engineering and Project Management, Operating Systems, Theory of Automation, etc.
- Emphasis is on advanced specialization courses and strengthening knowledge in key specialization domains with the help of courses such as Programming for Data Science, Applied Computational Statistics, Business Intelligence & Data Visualization, Machine Learning, Big Data, Introduction to Image Processing & Recognition and Deep Learning.
- Capstone project is mapped to all specialization courses and the university encourages participation in research projects, hackathons, and industry-mentored projects.
- Students pursue globally recognized certifications in emerging technologies from Microsoft, AWS, etc.
- Includes a mandatory summer internship with industry at the end of Year 3, allowing students to apply their knowledge in real-world scenarios and gain industry insights.
Major Project & Internship (Final Year – Year 4)
- Provides students with hands-on industry experience through a major project and internship.
- Focuses on real-world applications, ensuring students develop problem-solving skills and industry-relevant expertise.
- Prepares students for careers in Data Science, Data Engineering, Big Data analytics, Data Mining, Data Analysis, Data Visualization, AI research, Deep Learning, Natural Language Processing, Computer Vision, Generative AI, MLOps, and other advanced Data Science & AI-driven domains.
This programme equips students with the skills necessary for innovation, research, and professional success in the rapidly evolving technology landscape by integrating theoretical knowledge, practical exposure, and industry engagement.
Programme Outcomes (POs)
The BTech in Computer Science Engineering with Data Science specialization offers students a comprehensive learning experience, focusing on both foundational and advanced concepts in the rapidly growing field of Data Science. Key learning outcomes include:
- Proficiency in Core Computer Science Concepts: Students will gain a solid understanding of core Computer Science areas, such as programming, data structures, algorithms, and computer architecture.
- Advanced Data Science Techniques: Graduates will master data preprocessing, data cleaning, and exploratory data analysis using modern tools, enabling them to extract meaningful insights from complex datasets.
- Machine Learning and AI Expertise: Students will develop the skills to implement and deploy machine learning algorithms, including supervised and unsupervised learning, as well as gain an understanding of deep learning and neural networks.
- Big Data Handling and Analytics: They will learn to work with large-scale data using tools and frameworks such as Hadoop, Spark, and cloud platforms, enhancing their ability to process and analyze big datasets.
- Data Visualization and Reporting: The programme emphasizes data visualization techniques using tools like Matplotlib and Tableau, enabling students to present data-driven insights effectively.
- Real-World Problem Solving: Through industry projects, hackathons, and internships, students will gain practical experience, applying theoretical knowledge to real-world challenges in finance, healthcare, e-commerce, and more.
- Ethical Considerations in Data Science: Students will understand the ethical implications of data analysis and the responsible use of data, ensuring they uphold privacy and security standards in their work.
- Collaborative and Interdisciplinary Skills: The specialization encourages teamwork and collaboration across domains, preparing students to work in interdisciplinary teams to solve complex data-driven problems.
By the end of the program, students will be well-equipped to pursue careers as Data Scientists, Machine Learning Engineers, Data Analysts, and other high-demand roles in tech-driven industries.
Career Opportunities After Course Completion
Graduates of the BTech CSE with Specialization in Data Science are equipped with the skills to analyze complex datasets, develop predictive models, and implement AI-driven solutions. With the growing demand for data-driven decision-making across industries, professionals in this field enjoy lucrative career opportunities in technology, finance, healthcare, e-commerce, and consulting.
Career Opportunities:
✔ Data Scientist – Develop machine learning models to extract insights from data.
✔ Data Analyst – Analyze and visualize datasets to support business decisions.
✔ Business Analyst – Interpret data trends to optimize business processes and strategies.
✔ Data Engineer – Build and maintain scalable data pipelines and architectures.
✔ Machine Learning Engineer – Design and implement AI models for automation and analytics.
✔ Big Data Analyst – Work with large datasets using Hadoop, Spark, and cloud-based platforms.
✔ Business Intelligence Expert – Develop dashboards and reports for data-driven decision-making.
✔ Data Mining Expert – Extract valuable insights from structured and unstructured data.
✔ Data Warehousing Specialist – Design and manage large-scale data storage solutions.
✔ SAS Programmer – Use statistical tools for advanced data analysis and forecasting.
Top Hiring Companies:
Google
Facebook
Intel
The Boston Consulting Group
Reliance Industries Ltd
Capgemini
Philips
Myntra.com
SnapHunt
KPMG
Infosys
Mindtree Limited
Dell
Asian Paints
Gartner India Research Advisory Services
ZS Associates
With data science roles spanning across global tech firms, consulting giants, and Fortune 500 companies, graduates can expect high employability, competitive salaries, and career growth opportunities in this rapidly evolving domain.
Why Choose NCU for BTech CSE – Data Science?
The BTech CSE with Specialization in Data Science at The NorthCap University (NCU) offers a cutting-edge curriculum, hands-on industry training, and global certification opportunities, making it one of the best data science programmes in Gurgaon. Here’s why NCU stands out:
1. Industry-Focused Curriculum
- A blend of Statistics, Machine Learning, AI, and Big Data Technologies designed to tackle real-world challenges.
- Specialization in data visualization, predictive modeling, deep learning, and cloud computing.
- Courses structured with experiential learning, hackathons, and industry-driven projects.
2. Experiential Learning & Global Certifications
- Hands-on training in Python, TensorFlow, PyTorch, Tableau, and SQL.
- Certification support for Microsoft AI-900, AWS Cloud, MongoDB, and Big Data Analytics.
- Exposure to industry-standard tools and platforms, enhancing employability.
3. Center of Excellence for Data Science
- Advanced research facilities and AI-powered labs.
- Industry collaborations fostering innovation in AI and Data Science.
- Special training programmes in Big Data Analytics, AWS Cloud, and Microsoft Azure.
4. Honeywell Centre of Excellence
- Exclusive access to AI, ML, and Data Science research projects.
- Hands-on training with real-world case studies and industry mentors.
5. Infosys Finishing School of Employability
- Specialized training in Java Development, AWS Cloud Solutions, and Machine Learning.
- Focus on job-readiness and industry-relevant skill development.
6. Strong Industry Partnerships & Placement Support
- Internship and placement opportunities with top recruiters like Google, Intel, Facebook, KPMG, Infosys, and Dell.
- Industry mentorship and exposure to data-driven decision-making roles in finance, healthcare, and e-commerce.
With a future-proof career path, global recognition, and corporate-aligned training, NCU’s BTech CSE in Data Science ensures students graduate as highly skilled professionals, ready for the evolving tech industry.
Minimum Eligibility Criteria
BTech – Computer Science & Engineering (CSE)
- Minimum Qualification: 10+2 (English Medium) with Physics, Chemistry, Mathematics, and English (PCME) as compulsory subjects.
- Minimum Marks Required: 50% aggregate in Class 12.
- Admission Criteria: JEE Mains/any other recognised eligibility test held in 2025.
Seats
| Programme | Seats |
| Artificial Intelligence and Machine Learning | |
| Blockchain | |
| Cloud Computing | |
| Cyber Security & Forensics | |
| Data Science | |
| Full Stack Development | |
| Gaming, Augmented Reality & Virtual Reality | |
| IOT & 5G | |
| Semiconductor Technology | |
| Quantum Computing in AI |
Financial Assistance
Programme Fee
For Year 2025-26
FOR INDIAN STUDENTS
FOR NRI STUDENTS
OTHER FEE
- Caution Money: A sum of Rs 10,000/- to be charged from each student seeking admission to the University in the Academic Year 2025-26. The amount is interest free and will be refunded to the students at the time of withdrawal or at end of their programmes, whichever is earlier, after deduction of dues, if any.
- Alumni Association Fee: A onetime Alumni Association fee of Rs. 1,000/- for all programmes is payable by all students.
- Industry Employability Aptitude Test Fees: Industry Employability Aptitude Test fees of Rs. 1,500/- is payable.
- Youth Red Cross Fund : Rs. 80/- is payable by all students
Hostel Fee (where applicable) Rs. 80,000/- per semester (subject to change)
Fee Concession cum Scholarship
(a) Based on Class 12 Scores
| % of Scholarship on Tuition Fee | Eligibility (For CBSE/ equivalent recognised board) as per percentage score in applicable subjects (PCME) by programme. |
| 35% | CBSE: 95% and above |
| 15% | CBSE: 90%<= 94.99% |
Note: Students applying with 2024 scores are not eligible for Fee-Concession Terms & Conditions
(b) Based on National Level Test (NLT) Scores
| Slabs | Selection Criteria | Eligibility |
|---|---|---|
| 35% | JEE NTA SCORE ≥ 90 | PCME 75% and above in 12th CBSE/ equivalent examination of a recognised Board |
| 15% | 85 ≤ JEE NTA SCORE < 90 |
Enquire Now
Admissions Hotline: 9311300803
Email: admissions@ncuindia.edu
FAQs
The Department of Computer Science and Engineering is offering B. Tech (CSE) in seven specializations and M.Tech (CSE) in two specializaions as mentioned below:
- B.Tech CSE with Specialization in Data Science
- B.Tech CSE with Specialization in Artificial Intelligence and Machine Learning
- B.Tech CSE with Specialization in Cyber Security & Forensics
- B.Tech CSE with Specialization in Cloud Computing
- B.Tech CSE with Specialization in Gaming, AR and VR
- B.Tech CSE with Specialization in Full Stack Development
- B.Tech CSE with Specialization in Blockchain
- B.Tech CSE with Specialization in IoT & 5G
- B.Tech CSE with Specialization in Semiconductor Technology
- B.Tech CSE with Quantum Computing in AI
After successful completion, all the students enrolled in these specialization tracks shall get their B.Tech degree in their respective programme with the chosen specialization
The department aims at experiential teaching pedagogy for building the right set of Knowledge, Skills & Attitude among the students. Few of the highlights of our academic framework are as follows:
- Domain Specialization: Seven specializations namely Data Science, AI & ML, Cloud Computing, Cyber Security & Forensic, Blockchain, Full Stack and Gaming, AR & VR based on latest industry needs.
- Industry Engagement: MoUs with different industries, organizations like NTRO to strengthen its curriculum, enhance placements, internships and opportunities for engagement of students in live projects.
- Industry Mentored: Students at NCU work on the real-time project of an organization under the direct mentoring by a faculty and an industry professional.
- Curriculum in line with industry: Curriculum has been designed keeping in mind the industry needs and is thoroughly revised by all industry experts and academicians from IITs and JNU.
- Experiential: Real Time Projects: The University provides the necessary ecosystem to encourage students to get engaged in socially relevant real-time projects.
- Module Based Learning: The University has adapted modular approach to course design and learning.
- Student e-Portfolio: Students are guided to generate their E-Portfolio right from the moment when they start their journey from the first year.
- Research Opportunities: Strong research groups in the department with a rich legacy of high-quality publications, sponsored projects and filed patents.
The department has various clubs and societies to promote the holistic development of the students. We at NCU believe that participation in clubs and societies exposes students to new life experiences. Student’s association with these is very important for development of valuable leadership skills and abilities. They are platforms to foster respect for personal and cultural diversity and provides opportunities to express creativity and talent. The links and the list of various societies and clubs are as follow:Professional societies:
- The Association for Computing Machinery (ACM) Student Chapter
- Computer Society of India (CSI), Student Chapter
- Engineers Without Borders (EWB)
- Institute of Electrical and Electronics Engineer (IEEE), Student Chapter
- The Institution of Engineers (IEI), Student Chapter
- Open Web Application Software Project (OWASP)
Co-curricular clubs/societies:
- Google Student Club
- NCU Game Mantra
- Programmers Club
- Python Warriors
- The Society of Cyber Security Education and Research(SOCER)
- VISUALIVE Club
- Women In Coding Club
- Data Analysis and Research Group(DRAGON)
Community-service clubs/societies:
- Engineers Without Borders (EWB)
- Udaan
- Sehyog
Students at NCU participate in various national and international events. Recently, Eshita Mann, Dushyant Luthra, Lakshay Baweja, Hritik Kounsal, Devashish Nayak and Sahil Khurana with the official mentors Ms. Poonam Chaudhary and Mr Sumit Kumar from CSE, NCU, have won Smart India Hackathon (SIH 2020) for the Problem Statement of Ministry of MSME (Micro, Small and Medium Enterprises), India. They got an amount of Rs.100,000/- as a prize money and further collaboration with ministry to carry forward their project into reality.
Ms. Sachi Chandna, Ms. Rushika Shrestha, Mr. Tushar Jindal, Mr. Vaibhav Saini, Mr. Hritik Kapil, Mr. Hitesh Sharma, Mr. Yash Chaturvedi, Mr. Harshit Nagpal, and Mr. Diwakar Sharma have received INNOVATION AWARD 2020, in Alibaba Cloud Global AI Innovation Challenge 2020.
Team “Technocrats” of CSE Department, comprising of three members Nishant Khatri (Team Leader), Prabal Goyal and Prakhar Bhatnagar (Students of the Final year CSE), has been declared TechE Theme Champion for the IoT Domain at the Deloitte Technoutsav 3.0.
Mr. Virendra Pratap, Mr. Anshul Yadav, Mr. Dikshit, Mr. Anveshak Parashar, Mr. Arnay Kabtiyal have presented and prepared a top notch video displaying the activities of their student branch in a creative manner. These students have been felicitated with runners-up in the Student Branch Storyboard Video Presentation Contest at the IEEE All India Students Young Professionals Life Member’s Women In Engineering Congress 2020.
Mr. Akhil Sharma and Mr. Abhishek Chauhan designed an AR Core multiplayer game on Vuforia and bagged Second Prize along with a PlayStation in the National level competition ‘TCS Extended Reality 2019’ organized by TCS. The students were declared winner for showcasing their technical skills in Augmented and Virtual Reality based projects for different applications. In addition, Mr. Madhur, Mr.Keshav and Ms. Gazzal from B.Tech (CSE) had won the Collegiate Cyber Threat Competition (CCTC) by Deloitte from all over India.
The ACM-ICPC is considered as the “Olympics of Programming Competitions”. It is one of the oldest, largest, and most prestigious programming contest in the world. Mr. Devansh Bhatia, Mr.Rohit Malhotra and Mr. Navkrishna from B.Tech (CSE) represented The NorthCap University, Gurugram at two ACM ICPC(Association for Computing Machinery – International Collegiate Programming Contest) 2017-2018 Asia Level Regionals.
Mr. Akarshan Gandotra and Mr. Harsh Lathwal from B.Tech (CSE) were declared as winners of Google Summer of Code, 2017 for the proposal “Development of an Android Application for Pocket Science Lab Experiments”.
Ms. Urvika Gola and Mr. Pranav Jain from B.Tech (CSE) participated in the United Nations Climate Change COP 23 Event at Bonn, Germany under the official name of Hack4Climate.Urvika and Pranav also delivered sessions at the FOSSASIA Conference in Singapore. They were culled to participate in a 24-hour long hackathon which took place in Taj Palace, New Delhi. It was inaugurated by the Prime Minister, Shri Narendra Modi and Rt Hon Theresa May, Prime Minister of UK. They were the only ones to receive the award from Microsoft for their overall performance. They also won the Best Team Name award for the solution named ‘Janhit Mein Jaari’. In addition, Pranav was invited as a mentor to Helsinki, Finland to represent India at Ultrahack 2016, a global three-day hackathon. He won the First Prize of Euros 10000 in 5G Hackathon 2017 and OYS Challenge 2017 at Oulu, Finland.
Ms. Divya Sharma, Mr. Kunal Arora and Mr. Antariksh Anand from B.Tech (CSE) were selected to pursue education from Institute of Technology, Blanchardstown (ITB), Dublin, Ireland through university’s MoU with ITB, Ireland. Mr.Jitesh Miglani was also selected for Masters of Science in Computing in Applied Cyber Security. These students were offered a 40% tuition fee waiver by ITB, Ireland and a 50% scholarship as fee reimbursement by NCU.
Ms. Tanya Joon from B.Tech (CSE) was selected and invited for the Developer’s Student Club Summit, Goa. Mr. Parth Mishra from B.Tech(CSE) was selected to purse his education at Michigan Tech University, USA under the MoU between The NorthCap University and Michigan Tech University.Mr Divyanshu Verma from B.Tech CSE, along with Mr. Rahul Yadav, CEO of Voxogrenic Pvt. Ltd. have been declared as winners of TechGig Code Gladiators 2019, organised by TechGig and sponsored by Amazon. They built a game on Alexa within 23 Hrs and have been awarded a certificate, winners shield and the prize money of Rs 1,75,000.
Engineers without Borders India held their all India meet at SVCE College, Bangalore. Many student chapters, as well as professional members, were invited. EWB, NCU Chapter grabbed the award for “Best Chapter” all over India for its dedication & implementation. Computer Society of India (CSI) – The NorthCap University, Gurugram has been conferred with the the Best Accredited Student Branch (2017 – 2019) in recognition of significant contribution to the CSI activities.
Research is the primary activity and focus of the Department. Faculty members are active researchers in their respective domains of expertise and lead various sub groups. Research within the Department is grouped into clusters namely: Cloud Computing, Cyber Security, Data Mining, Data Science, Soft Computing, High-Performance Computing, Computational Optimization, Software Engineering, Information Security, AI and Machine Learning, Speech and Image Processing and Bioinformatics. The Department provides exposure and opportunities:
- By providing guidance to our students through qualified faculty members. The students are encouraged for bringing out quality publications in highly indexed Journals like SCI & Scopus.
- By involving students in research-oriented and consultancy projects.
- By providing interdisciplinary research-based projects to students.
- By giving students the opportunities to work with industry for their major projects.
- The incubation centre in the University also gives students a platform to implement their innovative ideas and research.
- By providing VC Innovation Funds to students who come up with innovative ideas.
The department provides multiple opportunities to students for Higher Studies.
- University has tie-ups with various foreign universities namely ITB Ireland, Michigan Tech University, USA, University of Dayton, USA, Providence University Taiwan etc.
- Students are provided opportunities to pursue research and higher studies through our collaborative programmes with foreign universities.
- Excellent learning teaching pedagogy ensures readiness of students for various examinations like GMAT, GRE etc. that helps students to get into foreign universities.
B.Tech CSE with Specialization in Data Science will provide graduates with a highly relevant skill set in mining large amounts of structured and unstructured data to identify patterns that can help organizations recognize new market opportunities, rein in costs, increase efficiencies and enhance organization’s competitive advantage. This is technology-focused degree with a strong Programming foundation combining rigorously taught components of Data Visualization, Probability and Statistics, Machine Learning, Data Engineering, Big Data, Deep Learning and Image Analysis and Computer Vision. Facebook, Dell, Myntra.com, Infosys and other leading players have actively implemented Data Science as a crucial part of their technologies.B.Tech. CSE provides graduates with a high level of expertise in programming, hardware administration, software administration, networking and network security. It prepares students to pursue careers involving innovation and problem solving using computational techniques and technologies, or to undertake advanced studies for research careers or to take up Entrepreneurship.
The Department has a hi-tech learning environment with well-equipped research laboratories for Network Programming, Database Management Systems, Software Engineering, Computer Graphics, Java Programming, Information Security and Cryptography, Operating System, Object-Oriented Programming, Compiler Design, Computer Networks, Internet and Web Programming, Mobile Computing, Software Testing, C/C++ Programming, Modeling & Simulation, Advanced Algorithms, .NET Programming, Object-Oriented Software Engineering.
The CISCO Network Academy at NCU is a joint venture between The NorthCap University and CISCO. High-Performance Computing Lab has also been established with 1 teraflop computing power. All classrooms are equipped with ICT facilities and updated computing equipment to support research and teaching activities. Various other facilities such as Tinkering Lab & Incubation centre are also available.
NCU has Competent and Experienced Faculties with:
- Majority of them having PhD degree from the reputed Universities like IITs, JNU etc.
- Quality Publications in SCI, Scopus Indexed Journals, Book Chapters and Conference Proceedings.
- Excellence awards and the special achievements like “Advanced Level Instructor” title by Cisco Networking Academy, Teaching and Research Excellence award and Albert Nelson Marquis Lifetime Achievement Award. Various faculties are editors and editorial board members in the reputed journals.
- Zeal to regularly update themselves through Faculty Development Programmes conducted by industry experts.
- Opportunities to work in collaboration with Industry experts through Externship Programmes.
- Faculties update themselves with the current trends and requirement of industries by doing quality level certifications.