Computer Science Engineering

Computer Science Engineering

 

ABOUT THE DEPARTMENT

The Department started imparting instructions with the most modern curriculum and syllabus to the students for undergraduate and postgraduate courses in 2018. The Department maintains an excellent teaching/learning and research environment with dedicated, qualified and dynamic faculties and well equipped laboratories.

The Department of Computer Science and Engineering (CSE) embodies the university's tradition of excellence in engineering education. CSE is in a period of exciting growth and opportunity. CSE Graduates capture leading academic appointments as well as opportunities in renowned computer industries, data analytics, and business analytics. The department of CSE offers two UG courses such as B.Tech in Computer Science and Business System (CSBS) collaboration with TCS and B.Tech in Computer Science and Engineering (CSE) collaboration with IBM.


The newly built laboratories of the department include a highly sophisticated Machine learning laboratory, Database laboratory, VLSI laboratory, Embedded Systems laboratory, Soft computing and Networking laboratories. Robotics, mobile communication, and natural language processing are the broad areas into which the researchers have made a foray.

 

 

VISION:

Department of Computer Science & Engineering aims to create a promising environment for producing skilful professionals by making students aware of the modern industrial need. The Department will also encourage fundamental and innovative research in the field of Computer Science & Engineering.

 

MISSION:

  • M1:To provides adequate guidance to students on emerging trends in the field of Computer Science & Engineering.
  • M2: To prepare students for flexible career paths with qualitative advancement in computing.
  • M3: To imparts moral and ethical values, along with interpersonal skills to the students and faculty members for their professional and personal growth.
  • M4: To provide various opportunities for students as well as faculty members to excel in every field by its collaboration with international bodies.

 

COURSES OFFERED (DOWNLOAD BROCHURE)

  • 4 years B.Tech in CSE (In collaboration with IBM).
  • 4 years B.Tech in CSBS (In collaboration with TCS).
  • 4 years B.Tech in CSE (Specialization in AI and ML).
  • 4 years B.Tech in CSE (Specialization in  IoT, Cyber Security and Blockchain).
  • 2 years M.Tech in CSE.
  • 3 years Diploma in CSE.

 

OUR INFRASTRUCTURE

The Department of Computer Science and Engineering has been established with a vision to lead in computer science education in research. We aspire to provide practical use of computer science and its technology among the students who will stand as brand ambassadors for our university in the digitized, professional platform. With state-of-the-art facilities, industry-academia interface, professional guidance, industry-integrated specialized courses, industrial visits/seminars and so on, we aim to imbibe our students with technological excellence. This department comprises advanced classrooms facilities and various laboratories. The laboratories are well equipped with high computational machines with latest software. The laboratories include:

  • Computer Programming Lab
  • Operating System lab
  • Design and Analysis of Algorithm Lab
  • IT Workshop Lab
  • Artificial Intelligence Lab
  • Machine Learning Lab
  • Data Science Lab
  • Database Management System Lab
  • Software Engineering Lab
  • Computer Network Lab
  • Modern Application Development lab
  • Computer graphics Lab
  • Linux Administration Lab
  • Computer Organization and Architecture Lab
  • Digital Electronics Lab
  • Multimedia Lab

 

CAREER PROSPECTS

 

Computer Science Engineering (CSE) is a popular educational course that emphasises on the basic key elements of computer programming as well as networking. Many engineering aspirants have been opting for this specialisation as this course allows them to gain knowledge and ideas of design, its implementation and overall management of information systems in case of hardware as well as software. The employment opportunities have definitely been on the rise with the introduction of Computer Science Engineering courses across top Engineering Colleges. Students after passing out CS course get good opportunities to join some of the top brands and corporate houses across multiple industries such as IT/software companies, sales and marketing companies, academic institutions, journalism, content industry, engineering firms, etc. 

Career Alternatives for Computer Science Engineers: 

  • Software Engineer
  • Software Developer
  • Computer Programmer
  • System Developer
  • Database Administrator
  • Data Warehouse analyst
  • Machine Learning Engineer
  • Data Analytics
  • Data Scientist
  • Business Analyst/Business Intelligence
  • Information Security Analyst
  • Technical Risk Analyst

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CoursesYearsSemesterEligibility CriteriaMarks Required
B.Tech - Computer Science & Business System (TCS-Industry Integrated)48Passed/Appeared in 10 + 2 Stream: Science60%
B.Tech in Computer Science and Engineering48Passed/Appeared in 10 + 2 Stream: Science60%
B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)48Passed/Appeared in 10 + 2 Stream: Science60%
B.Tech in Computer Science and Engineering (IoT, Cybersecurity and BlockChain Technology)48Passed/Appeared in 10 + 2 Stream: Science60%
B.Tech in Computer Science and Engineering (Lateral)36
M.Tech - Computer Science & Engineering24Passed/Appeared in B.Tech (CSE)60%
Ph.D in CSE (Full Time)3 To 5
Ph.D in CSE (Part Time)
Dr. Souvik Pal

Associate Professor - computer science & engineering

B. Tech., M. Tech., Ph. D

Email: souvik.p@snuniv.ac.in


Dr. Souvik Pal is an Associate Professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. Prior to that, he was associated with Global Institute of Management and Technology; Brainware University, Kolkata; JIS College of Engineering, Nadia; Elitte College of Engineering, Kolkata; and Nalanda Institute of Technology, Bhubaneswar, India. Dr. Pal received his M. Tech, and PhD degrees in the field of Computer Science and Engineering from KIIT University, Bhubaneswar, India. He has more than a decade of academic experience. He is author or co-editor of more than 18 books from reputed publishers, including Elsevier, Springer, CRC Press, and Wiley, and he holds three patents. He has more than 75 Publications in his credit. He is serving as a Series Editor for “Advances in Learning Analytics for Intelligent Cloud-IoT Systems”, published by Scrivener-Wiley Publishing (Scopus-indexed);  “Internet of Things: Data-Centric Intelligent Computing, Informatics, and Communication”, published CRC Press, Taylor & Francis Group, USA; “Conference Proceedings Series on Intelligent Systems, Data Engineering, and Optimization”, published CRC Press, Taylor & Francis Group, USA;  Dr. Pal has published a number of research papers in Scopus / SCI/SCIE Journals and conferences. He is the organizing chair of RICE 2019, Vietnam; RICE 2020 Vietnam; ICICIT 2019, Tunisia. He has been invited as a keynote speaker at ICICCT 2019, Turkey, and ICTIDS 2019, 2021 Malaysia. He has also served as Proceedings Editor of ICICCT 2019, 2020; ICMMCS 2020, 2021; ICWSNUCA 2021, India. His professional activities include roles as Associate Editor, Guest Editor, and Editorial Board member for more than 100+ international journals and conferences of high repute and impact. His research area includes cloud computing, big data, the internet of things, wireless sensor network, and data analytics. He is a member of many professional organizations, including MIEEE; MCSI; MCSTA/ACM, USA; MIAENG, Hong Kong; MIRED, USA; MACEEE, New Delhi; MIACSIT, Singapore; and MAASCIT, USA.

AISWARYYA BANERJEE

Assistant Professor - computer science & engineering

M.Tech (CSE)

Email: aiswaryya.b@snuniv.ac.in


Aiswaryya Banerjee is presently working as an assistant professor in the Computer Science & Engineering Department, under Sister Nivedita University. She has completed M.Tech in Computer Science & Engineering from Techno India University, Kolkata. She has industry an experience with Cognizant Technology Solutions India Pvt. Ltd. She also has a work experience of the field in Technical Content Developing. She is in Academic sector for last tthree years. Her area of interest is Sentiment Analysis, Machine Learning and IoT.

Professional Profile: LinkedIn

 

Mr. Ayan Dey

Assistant Professor - computer science & engineering

B.Sc. (CS), P.G. B.Tech. (CSE), M.Tech. (CSE), Ph.D. (pursuing) in IT

Email: ayan.d@snuniv.ac.in


Ayan Dey has received a Bachelor of Science (with honors) degree in Computer Science in 2008. He has completed post-graduated B. Tech in Computer Science in 2011 and Master of Technology in Computer Science Engineering from the University of Calcutta, India in 2013. Currently, he is pursuing Doctor of Philosophy from the University of Calcutta. Besides He is working in the position of Assistant Professor at Sister Nivedita University in the Department of Computer Science and Engineering. He has 9 years of teaching experience as an Assistant Professor. His research interests cover Software watermarking, Software security and privacy, malware analysis, Robotics, and IoT, etc. He has written a book named "Introduction to C Programming and Numerical Methods Lab". He has achieved 2 Gold medals (Manindra Chandra College, Calcutta University), TCS Research Scholarship (TCS Innovation Lab), and Senior Research Assistantship from TEQIP (P-2, AICTE, Govt. of India), etc.

Dr. Debbrota Paul Chowdhury

Assistant Professor - computer science & engineering

Ph.D. in CSE from National Institute of Technology Rourkela

Email: debbrota.pc@snuniv.ac.in


Debbrota Paul Chowdhury is currently with the Sister Nivedita University (SNU) at New Town, Kolkata, India. He serves as an Assistant Professor in the Department of Computer Science, Engineering of the institute. He also served as an Assistant Professor in the Department of Computer Science & Engineering at Kalinga Institute of Industrial Technology Bhubaneswar, India, and in an Adhoc faculty position at the National Institute of Technology Warangal, India. He earned his Ph.D. degree in Computer Science & Engineering from the National Institute of Technology Rourkela, India in 2021. He completed his master's in Computer Science & Engineering from the International Institute of Information Technology Bhubaneswar, India in 2016. He completed his bachelor's degree in Computer Science and Engineering from the University Institute of Technology, Burdwan, India in 2014. His area of interest includes Biometric Security, Computer Vision, Deep Learning, Image/Video Processing.

Dr. Priya Roy Karmakar

Assistant Professor - computer science & engineering

B.Tech (CSE), M.Tech (CSE), PhD in Engineering (Jadavpur University)

Email: priya.rk@snuniv.ac.in


Priya Roy karmakar is presently working as an Assistant Professor in the Department of Computer Science and Engineering, Sister Nivedita University, Kolkata. She received a B.Tech degree in Computer Science & Engineering from Dream Institute of Technology under Maulana Abul Kalam Azad University of Technology in 2012. She has completed M.Tech in Computer Technology from the Computer Science & Engineering Department of Jadavpur University in 2016. Since 2016 to 2021 she worked as a full-time PhD research fellow in the Department of Computer Science & Engineering, Jadavpur University. She is a recipient of various fellowships funded by the Government of India and the Government of West Bengal for pursuing her full-time research from Jadavpur University. The topic of her PhD is “WiFi Based Indoor Localization using Machine Learning Techniques”. 

Her research interest is primarily in the domain of Indoor Localization and Machine Learning. She is a member of IEEE and also an active researcher in this domain. She has published several research papers in different international conferences and journals from leading publishers including IEEE, ACM, Springer, and Elsevier with an impact factor as high as 6.954.

Professional Profile: LinkedIn

Research Profile: Google Scholar

Subrata Das

Assistant Professor - computer science & engineering

B. Sc., B. Tech., M. Tech., Ph. D. (pursuing)

Email: subrata.d@snuniv.ac.in


Subrata Das is presently working as an Assistant Professor in the Department of Computer Science and Engineering, Sister Nivedita University, Kolkata. He is also pursuing a Ph.D.  from the University of Calcutta. Mr. Das has received a Bachelor of Science (with honors) degree in Physics in 2005. He has completed B. Tech in Information Technology in 2008 and a Master of Technology in Computer Science Engineering in 2010 from the University of Calcutta. He has more than 11 years of teaching experience. He published more than 15 papers in reputed journals and conferences. He presented papers at different prestigious conferences in India and abroad. His research topic is VLSI Physical Design.

Sudhindu Bikash Mondal

Assistant Professor - computer science & engineering

B. Tech., M. Tech., Ph. D. (pursuing)

Email: sudhindu.bm@snuniv.ac.in


Sudhindu Bikash Mandal is presently working as an Assistant Professor in the Department of Computer Science and Engineering, Sister Nivedita University, Kolkata. He is also pursuing Ph.D.  from University of Calcutta. He has completed B. Tech in Information Technology in 2004 and Master of Technology in Information Technology in 2006 from the University of Calcutta. He has more than 15 years of teaching experiences. He Published more than 16 papers in reputed journals and conferences. He has presented papers in different prestigious conferences in India and aboard. He is also IBM certified Qiskit developer and Sun Certified Java programmer. He has also earned advanced level badge from IBM Quantum computing. His research areas are Quantum Computing, Quantum Circuit Synthesis, Quantum Algorithm Synthesis and Quantum machine learning.

Dr. Soma Datta

Assistant Professor - computer science & engineering

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

Email: soma.da@snuniv.ac.in


Dr. Soma Datta is presently working as an Assistant Professor in the Department of Computer Science and Engineering, Sister Nivedita University, Kolkata. She has completed her MTech (CSE), M.Sc. (CSE) B.Sc.(Hons. – CSE) from University of Calcutta. She has worked as a System Analyst for more than five years in Tata Consultancy Services Ltd. She has nine years of research experience and one year of teaching experience. She has also received Visvesvaraya Ph.D. fellowship sponsored by DST ; Government of India. She published more than 20 papers in reputed journals and conferences. She presented papers in different prestigious international conferences. She has also reviewed many reputed journal papers in her domain. Her research interests are Biomedical image analysis, Document image analysis and Pattern Recognition.

Sahitya Mondal

Assistant Professor - computer science & engineering

Ph.D. (pursuing), M. Tech degree (2016) from Jadavpur University and his B. Tech degree (2013) from BESU, Shibpur.

Email: sahitya.m@snuniv.ac.in


Sahitya Mondal holds the position of Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University, WB, India.

He has been teaching and conducting research for more than 8 years. He had previously worked as an assistant professor at the Gargi Memorial Institute of Technology in Kolkata, West Bengal, India, and the Academy of Technology in Hooghly, West Bengal, India.

Since 2019, Mr. Mondal has been working on his Ph.D. at the Jadavpur University in Kolkata, West Bengal, India. He received his M. Tech degree (2016) from Jadavpur University and his B. Tech degree (2013) from BESU, Shibpur.

His areas of interest in the study include Java, Deep Learning, Machine Learning, and Data Mining.

Dr. Ankita Dhar

Assistant Professor - computer science & engineering

Ph.D. in CS from West Bengal State University, M.Sc. (Gold Medalist) in CS, B.Sc. in CS from East Calcutta Girls’ College

Email: ankita.d@snuniv.ac.in


Dr. Ankita Dhar is an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. Prior to that, she was associated with Brainware University, Kolkata. Ankita Dhar has completed B.Sc. in Computer Science from East Calcutta Girls’ College; M.Sc. (Gold Medalist) in Computer Science and PhD in Computer Science from West Bengal State University respectively. She has presented/published around 40 plus research papers in reputed journals and conferences. Her research interest includes Natural Language Processing, Information Retrieval, Audio Signal Processing and Machine Intelligence.

Dr. Indranil Sarkar

Assistant Professor - computer science & engineering

PhD in Information Technology

Email: indranil.s@snuniv.ac.in


Dr. Indranil Sarkar is presently working as an Assistant Professor in the Department of Computer Science and Engineering, Sister Nivedita University, Kolkata. He also served as assistant professor in the Department of Computer Science and Engineering at Christian College of Engineering & Technology, Bhilai, Chhatisgarh. He has earned a Ph.D degree from National Institute of Technology, Raipur, India in 2022. He has also received his B.Tech and M.Tech degree in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology, formerly known as West Bengal University of Technology, in 2013 and 2015, respectively. He has multiple SCI and Scopus publications in reputed journals and conferences.

His research interests include Wireless Communications and Networking, Fog Computing, Edge Computing, Machine learning and Deep learning.

Susmita Sen

Technical Assistant - computer science & engineering

M.Sc (CS)

Email: susmita.se@snuniv.ac.in


Ms. Susmita Sen is presently working as a Technical Assistant in the Department Of Computer Science and Engineering at Sister Nivedita University, Kolkata. She has completed the Master of Science in Computer and Information Science from University of Calcutta in 2019. She also received the graduation in Computer Science from Acharya Prafulla Chandra College in 2017. Her Teaching experience Comprises above 3 years.

Professional Profile: LinkedIn

Anjan Sar

Technical Assistant - computer science & engineering

B. Sc., PGDCA, DOEACC O

Email: anjan.s@snuniv.ac.in


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CoursesFee During Admission (Including 1st Semester Fee / 1st installment for annual scheme)Fee 2nd semester / 2nd installment onwardsProgram Fees Total
B.Tech - Computer Science & Business System (TCS-Industry Integrated)11900083000700000
B.Tech in Computer Science and Engineering11900083000700000
B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)11900083000700000
B.Tech in Computer Science and Engineering (IoT, Cybersecurity and BlockChain Technology)11900083000700000
B.Tech in Computer Science and Engineering (Lateral)11750081500525000
M.Tech - Computer Science & Engineering9275056750263000
Ph.D in CSE (Full Time)9025070000480250
Ph.D in CSE (Part Time)

 

SNU SchoolDepartmentCourseCurriculum Structure & Syllabus
School of Engineering Computer Science EngineeringB.Tech - Computer Science & Business System (TCS-Industry Integrated)Click To View
School of Engineering Computer Science EngineeringB.Tech in Computer Science and EngineeringClick To View
School of Engineering Computer Science EngineeringB.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning)Click To View
School of Engineering Computer Science EngineeringB.Tech in Computer Science and Engineering (IoT, Cybersecurity and BlockChain Technology)Click To View
School of Engineering Computer Science EngineeringB.Tech in Computer Science and Engineering (Lateral)Click To View
School of Engineering Computer Science EngineeringM.Tech - Computer Science & EngineeringClick To View
School of Engineering Computer Science EngineeringPh.D in CSE (Full Time)Click To View
School of Engineering Computer Science EngineeringPh.D in CSE (Part Time)Click To View