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| Duration | Intake | Industrial Tie ups | Approvals |
|---|---|---|---|
| 4 years (8 semesters) | 60 | TCS | AICTE |
NIET in partnership with India’s leading IT Service and Consulting Company, TCS, is offering a four-year specialized B.Tech course titled “Computer Science and Business Systems” (CSBS) to cater to the rising need of engineering talent with skills in technology. This state-of-the-art course aims to impart knowledge of cutting-edge technologies and business skills with hands-on exposure to make students industry-ready.
The main goal of this course is to make sure that the students not only know the core topics of Computer Science but also develop an equal understanding of humanities, human values, and management sciences. The students also get good industrial exposure to emerging topics such as Analytics, Machine Learning, Cloud Computing, Internet of Things etc. For details about the program, explore: https://info.tcs.com/computer-science-business-systems.html
KEY OBJECTIVES- Learning common business principles.
- Exploring business discipline and service orientation.
- Innovative ability.
- Strong human ethics and values.
- Understanding technology abstraction.
- The curriculum is designed by faculty members closely working with eminent professionals from TCS and academia and is approved by AICTE.
- Industrial training & live projects supported by TCS.
- Dedicated faculty members trained by TCS to deliver the program.
- High standard of teaching, learning, and evaluation processes monitored by TCS.
- Active mentoring by experts from TCS.
To be recognized as a department committed to academic excellence in education fostering environment to make future leaders, innovators, and industry-ready professionals.
- To impart globally connected cutting-edge technologies and business skills.
- To nurture lifelong learning practices, knowledge, and 21st century skills with focus on entrepreneurship, research, and innovation.
- To produce globally competent and ethical professionals ready to serve the society.
The graduates of B.Tech Data CSBS program will
- Engage in successful professional practices in emerging areas of computer science and business systems and pursue higher education and research.
- Adapt easily to dynamically changing environment, applying their knowledge in technology abstraction and common business principles.
- Demonstrate effective business communication with innovation mindset who can effectively work in a team and exhibit strong ethics and life values to serve the society.
At the end of the program, the student will be able to
- Apply technical and business knowledge to solve complex problems and face current business challenges.
- Explore modern tools and technologies and apply the knowledge to design and develop solutions for betterment of the society.
- Work innovatively and communicate effectively with professionals worldwide and pursue lifelong learning to add value to society and environment.
Dr. Deepti
HOD, CSBS
Dear Students and Future Innovators in Computer Science and Business System,
In 2020, the Department of Computer Science and Business System was founded with a clear mission: to prepare students for the future, equipping them to excel in both computer science and business system, and enabling them to compete on a global scale.
Our department has diligently worked to bridge the gap between technical expertise and business acumen, resulting in a groundbreaking partnership with TCS to develop a world-class program at NIET. This program is carefully designed to provide students with a well-rounded education, incorporating elements of humanities, human values, and management sciences. It's a state-of-the-art course that imparts cutting-edge knowledge in technology and business skills, all while offering hands-on experience in key areas such as Data Analytics, Machine Learning, Cloud Computing, Internet of Things, and Design Thinking.
At the heart of our approach is a passion for collaboration with industry experts. We actively seek to engage with leading companies to provide students with access to in-demand tools and technologies. Our curriculum is meticulously crafted by our faculty members in close consultation with distinguished professionals from TCS and academia. We offer opportunities for industrial training and real-world projects, generously supported by TCS. Our commitment to excellence extends to our teaching standards and a commitment to active mentorship from TCS experts. Our ultimate goal is not just to educate, but to empower our students with the wisdom and knowledge needed to thrive in the future.
Welcome to the Computer Science and Business System, where your potential knows no limits.
Warm Regards,
Dr. Deepti,
HOD, CSBS
Dr. Deepti
HOD, CSBS
Experience
13 Year
Dr. Deepti Gupta is currently working as a Professor and Head of Department, Computer Science and Business Systems at NIET, Greater Noida.
Her area of Expertise is OS, Discrete Structures, DLD, TAFL, C, C++, etc
She has published 8 papers in reputed Journal and conferences and granted 1 patent.
Education- Ph.D. degree in Computer science and Engineering from S.A.T.I. Vidisha, 2014.
- M.Tech (Gold Medalist) in Computer science and Engineering from S.A.T.I. Vidisha, 2005
- B.E degree, Computer science and Engineering from University Institute of Technology Bhopal, 2002
| Title | Click to Download |
|---|---|
| CSBS - Faculty list 2020-2021 |  |
- Dr Meena Arora, Dr Shivani Dubey, Prof. Vikas Singhal, Dr Sachin Malhotra, Mr Rajasnish Kumar, Dr Naveen Prakash, Mr Raveendra Kumar, Amita Shukla. Title: Method and System to Identify an Optimal Crop for a Land, 202111059113, Date of Filing 17/12/2021.
- Shweta Chandrashekhar, Tulika Chakrabarti, Ananda Shankar, Garima Jain. Title: Self-aware Continual Pose Estimator in Act Video Recording and Animations. Patent Number: 2021102838 30th June 2021.
- Dr. Garima Shukla, Garima Jain, Divya Mishra, Dr. Sandhya Kattayat, Nitin Kumar, Dr. Parvez Ahmed Alvi. Title: Robotic Systems for Hospitals. Publication Date: (U/S 11A) 20/08/2021. Application Number: 202111033686.
- Dr. Garima Shukla, Dr. Sandhya Kattayat, Nitin Kumar, Divya Mishra, Garima Jain, Dr. Parvez Ahmed Alvi. Title: Whiteboard with Cleaning Wiper. Application Number: 346936-001 Cbr Number: 205738 Cbr Date: 29/07/2021 13:25:11.
- Jain, G., Shukla, G., Saini, P., Gaur, A., Mishra, D., & Akashe, S. (2022). Title: Secure COVID-19 Treatment with Blockchain and IoT-Based Framework in Intelligent Sustainable Systems (pp. 785-800). Springer, Singapore.
- Kumar, A., Jain, G., Jindal, P., Mishra, V., & Akashe, S. (2022). Title: Design of a CPW-Fed Microstrip Elliptical Patch UWB Range Antenna for 5G Communication Application in Intelligent Sustainable Systems (pp. 801-811). Springer, Singapore.
- Garima Jain. Title: Securing Artificial Intelligence Applications using Protector Hiding https://sersc.org/journals/index.php/IJFGCN/article/view/36994.
- Dr.Jambi R.R Kumar, Sonia Arora, Manali Gupta, Dr. Ashish M K, Dr. Ankur S. Bisht, Dr. B.K Sarkar. Title: Point Regression Analysis Based Big Data Processing Using Machine Learning and Deep Learning Date of Filing 28.01.2022 Application Number: 202221004892.
- Manali Gupta , S K Sharma , Roshi Saxena, Sonia Arora. Title: Analysis of Machine Learning Algorithms in Brain Tumour Prediction ICAPSM 2021 Journal of Physics: Conference Series 2070 (2021) 012090 IOP Publishing doi: 10.1088/1742-6596/2070/1/012090.
- Manali Gupta, S K Sharma, Roshi Saxena, Sonia Arora, Yaduvir Singh. Title: Compression & Extraction of Region of Interest from Medical Images through Deep learning Methods ICACFCT 2021 IEEE Explore.