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Computer Science & Engineering

Department of Computer Science & Engineering was established in the year 1999, enriched with strong resource persons and state-of-the-art laboratories. The department has always emphasized on achieving academic and professional excellence.

The department was first accredited by the NBA visiting team in the year 2009, for the period 2009-2012 and again got the prestigious accreditation by NBA for the period of 3 years i.e. 2016-2019 (till June’19). Based on the excellent performance of the department it was again accredited by the NBA team for a period of 3 years i.e. 2019 -2022 (till June, 2022).

Computer Science & Engineering is a dynamic and exciting field. While steps are taken to clear the fundamental concepts of Computer Science, and in advance years of studies the students are facilitated with latest technologies like Cloud Computing, Machine Learning, Data Science using AI and IOT etc. Feedbacks are taken on regular basis from our Alumni’s holding Senior position in Corporate Sector which enables us to cater to the dynamic needs of the IT/IT Enabled Services (ITeS) Industry. Students and Staffs both are engaged with continuous learning of the latest technologies through knowledge sharing.

  1. Intake Capacity: 60
  2. Affiliated to Maulana Abul Kalam Azad University of Technology (MAKAUT)
  3. Approved by All India Council of Technical Education [80% students are admitted from WBJEE, 10% from JEE (MAIN), 10% from Management Quota + 3 students are from TFW Quota]
  4. Additional 6 Students can be admitted in 3rd Semester through JELET (Lateral Entry Admission).

     

ELIGIBILITY

For eligibility criteria in B.Tech and B.Tech Lateral entry scheme : click here

Vision

To be a well-recognized department by providing students with an excellent environment for academics and research in the realm of Computer Science..

Mission

  1. To provide a conducive atmosphere for the teaching learning process. 
  2. To make the students understand the role of Computer Science in social and global needs. 
  3. To develop theoretical knowledge of the students and make them skilled professionals by involving them in application oriented activities, project works and arranging workshops, seminars and industry oriented programs. 
  4. To facilitate the students in adapting to the changing technologies and to be successful in their professional and research works.

PEO-I:     Graduates of the programme will be successful computing professionals. 

PEO-II:   Graduates of the programme will pursue higher education or continuously update their knowledge through lifelong learning.

PEO-III: Graduates of the programme will practice their profession by exhibiting effective communication and team work skills.

POs describe what students are expected to know or will be able to do by the time they complete graduation from the program. The Program Outcomes of UG in Computer Science & Engineering are as follows:

PO1– Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.

PO2– Problem analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

PO3– Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety and the cultural, societal and environmental considerations.

PO4– Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of the information to provide valid conclusions.

PO5– Modern tool usage: Create, select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6– The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7– Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of and need for sustainable development.

PO8– Ethics: Apply ethical principles and commit professional ethics and responsibilities and norms of the engineering practice.

PO9– Individual and team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary settings.

PO10– Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11– Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply the set one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12– Life-long learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PSO – I: Demonstrate basic knowledge of modern technologies like Cloud Computing, Artificial Intelligence and Machine Learning, Web based application development and relate the idea of hardware and computation for career paths and zest for higher studies.

PSO – II: Design and develop efficient algorithms for engineering problems related to Database, Computer networks and System software by using suitable data structures and emerging tools for software development.

Laboratories

OS and Networking Lab

Project Lab -II

DBMS and Web Technology Lab

Graphics and Multimedia Lab

Project Lab -I

Collaborations

Recruiters

Student Achievements

Muskan Garg

System Development Engineer,
Amazon, 17 LPA
CSE 2018-22 Batch
Also, 5% Toppers "The Joy of Computing using Python"
NPTEL Online Certification

2nd Highest Package Received

Nancy Binani

Software Engineer,
Big Binary, 18 LPA
CSE 2018-22 Batch

Highest Package Received

Suchi Kumari (2020-24)

Winner(District), “Secure Bengal-2021” – Learning and Hackathon Challenge, CyberSecurity Centre of Excellence, Govt.WB in association with NASSCOM.

 

Bhawna Bothra (2019-23) 

 2nd Runner Up (District), Secure Bengal-2021” – Learning and  Hackathon Challenge, CyberSecurity Centre of Excellence, Govt of WB in association with NASSCOM.

Sayan Kumar Dutta

(2020-24)

Highest achievable grade ‘S’ Introduction to IoT,  Stanford University on 03/03/2021.

Tithi Jana (2020-24)

5% Topper (Jul-Oct’21), NPTEL Certification Course “Ethics in Engineering Practice”.

Pushpak Damani (2018-22)

Gold Medal, National Taekwondo Championship, organized by KTA India on 26/09/21 and open Indo Nepal International Taekwondo Championship, organized by STA India on 27/11/21.

Debayan Ghosh (2018-22) 

World Champion(Male 18-39 Yrs Open Category) in Kyokushin Virtual Kata Championship, organized by International Karate Alliance KyokushinRyu.

Roshni Dey & Satyaki Sinha (2019-23)

1st position in Technical Paper titled “Performance Analysis & Comparative Study of Different Processors” in CSI Student Convention 2020 at Asansol Engineering College.

Srijon Mallick & Pritam Roy (2018-22)

Presented a technical paper “Automatic railway signalling system and obstacle detection system” and Secured 1st prize in CSI Regional student convention organized by CSI-HIT & 2nd position in CSI State Student Convention, Assam University, Silchar. 

Roshni Dey & Baishali Ghosh (2019-23) 

2nd Runner up,

MATHMANIA in Technical Fest at MCKVIE in 2020.

Neha Dolui, Soham Banerjee & Anubhab Mukherjee (2020-24)

Received First Prize in TECHNOTICA 2022.

Successful Alumni

ABHISHEK SINGH

ML Engineer, Oracle
2012-2016

NABILUR RAHMAN

Management Consultant, Accenture
2009-2013

DR. SHOUNAK CHAKRABORTY

Post Doctoral Fellow,
Norwegian University of Science Technology, 2005-2009

BHISHAK SANYAL

Technical Lead,
Bit Canny Technologies Pvt. Ltd
2011-2015

DEBOJYOTI DE

Application Developer, ThoughtWorks
2013-2017

HARITABH GUPTA

SW Development Engineer, Amazon Web Services, 2010-2014

BIPLAB DAS

Managing Consultant, IBM
2001-2005

PRITAM KUMAR PAUL

Senior SW Engineer, Microsoft
2007-2011

PRASHANT SINGH

MD, UXLI Ltd.,
1999-2003

SOMNATH DE

Assistant Consultant, TCS
2000-2004

Faculty Members

Mr. Avijit Bose

Mr. Avijit Bose

Assistant Professor and HOD

Computer Science and Engineering, Computer Science and Engineering (Data Science)

B.E., M.Tech, Ph.D (pursuing)
21 years experience

Dr. Subro S. Thakur

Dr. Subro S. Thakur

Associate Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

B.E., M.E., Ph.D.(Engg.)
14.7 years experience teaching in MCKVIE
9.6 years R&D (CSIR)

Ms. Soma Bandyopadhyay

Ms. Soma Bandyopadhyay

Assistant Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

M.E., Ph.D.(Pursuing)
13 years 8 months experience in teaching
other experience – 10 years 4 months

Mr. Prasenjit Das

Mr. Prasenjit Das

Assistant Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

B.Sc., MCA, M.Tech
12.4 years experience

Ms. Mahua Nandy Pal

Ms. Mahua Nandy Pal

Assistant Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

B.Sc, DOEACC B-Level, M.Tech, Ph.D.(pursuing)
14 years experience

Ms. Rachita Ghoshhajra

Ms. Rachita Ghoshhajra

Assistant Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

B.Tech, M.Tech
17 years experience in teaching at MCKVIE
Other experience – 3.3 years

Mr. Sumit Majumdar

Mr. Sumit Majumdar

Assistant Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

B.Tech, M.E.
11.8 years experience

Mr. Surojit Bhattacharyya

Mr. Surojit Bhattacharyya

Assistant Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

B.Tech, M.E., Ph.D (pursuing)
14.3 years total experience
11.9 years in MCKVIE

Ms. Moumita Goswami

Ms. Moumita Goswami

Assistant Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

B.Tech, M.Tech, Ph.D (pursuing)
11.5 years experience in teaching
1.5 years in Software Industry

Mr. Nilay Kr. Nag

Mr. Nilay Kr. Nag

Assistant Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

B.Sc(Phy), AMIE(ECE), ADST(CEDT, Govt.of India), MS(Software Systems)
21 years of experience in teaching
6 years in Industry

Ms. Sasmita Subhadarsinee Choudhury

Ms. Sasmita Subhadarsinee Choudhury

Assistant Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

AMIE, M.Tech, Ph.D (pursuing)
16.5 years experience

Mr. Abhisek Saha

Mr. Abhisek Saha

Assistant Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

B.Tech(CSE), M.Tech(CSE), Ph.D (pursuing)
13 years experience

Mr. Partha Pratim Saha

Mr. Partha Pratim Saha

Assistant Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

B.Sc(H), M.Sc., M.Tech
15 years 2 months of experience

Mr. Puspen Lahiri

Mr. Puspen Lahiri

Assistant Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

B.Tech, M.Tech
Total 16.7 years experience

Mr. Subir Bhadra

Mr. Subir Bhadra

Assistant Professor

Computer Science and Engineering, Computer Science and Engineering (Data Science)

M.Sc. M.Tech
10.8 years of experience in teaching
Other experience – 12.10 years

Events