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Computer Science & Engineering (Data Science)

MCKV Institute of Engineering (MCKVIE) is one of the leading visionary engineering colleges in West Bengal to introduce B.Tech in Computer Science Engineering course with Data Science specialization. The Department envisions to impart quality education with experienced faculty members who have extensive exposure in this field. The aspiring data science engineers studying at MCKV Institute of Engineering will be trained with advanced analytical and programming skills. The data science engineers at MCKVIE will not only be experts in designing, developing, testing, and maintaining complex and large-scale database architectures and processing systems but they will also be competent to extract meaningful insights from the raw data to get it ready for analysis.

The CSE – Data Science specialization Department under MCKV Institute of Engineering will be equipped with state-of-the-art laboratories and strategic academic and industry collaborations to enable students with latest best practices and hands-on industry exposure related with this field. Facilitating industry interaction of the data science students will also strengthen research orientation in this domain.

Massive explosion in data and the expanding need of the industries to rely on data to create better products, offer improved services and take informed business decisions has made data science a reigning technology that will dominate industries today and tomorrow. The subject of Data Science encompasses other important disciplines like Statistics, Mathematics, and Programming. As a result, data science students of MCKV Institute of Engineering will be trained to imbibe multi-disciplinary learning approach and embrace a steep learning curve to become competent professionals in this field.

The students of B-Tech CSE with Data Science specialization from MCKV Institute of Engineering are encouraged to undertake innovative experiential projects to develop the proficiency of understanding diverse trends and patterns in the data. This course will enable data science engineering students to develop the skills of data extraction, manipulation, visualization, maintenance and a predictive ability from an efficient analysis of the data. In fact the new age data science professions must be endowed with a sound knowledge of machine learning algorithms. This helps the industries to evaluate any kinds of performance and suggest intelligent data insights to provide necessary solutions to boost it.

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.

PEO1: Graduates of the program will be successful computing professionals especially will have the ability to work as Data Engineers.

PEO2: Graduates will demonstrate leadership quality in their workspace with consideration for society and the environment.

PEO3: Graduates will demonstrate lifelong learning in their profession and in pursuing higher studies.

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.

  1. Latest research by Business World Online Bureau reveals that India is expected to see 1.5 lakh new openings in Data Science in 2020, which is an increase of about 62% as compared to 2019. Currently, 70% of job requirements in this sector are for Data Scientists and engineers with less than five years of work experience. In India and across the globe we are likely to encounter tremendous demand for skilled talent in data science paving way for lucrative career opportunities for students in future. Data Science professionals can generate data to produce information that can offer business intelligence with predictive ability to facilitate fast business growth. Some interesting job profiles that can be pursued by students who pursue data science specialization at MCKV Institute of Engineering include:

    • Database Administrators
    • Data Scientists
    • Data Visualizers
    • Business Analysts
    • Data Engineers
    • Business Intelligence Engineers
    • Data Ecologists 
    • Data Science Consultant
    • Financial Modeler
    • Clinical and Pharmaceutical Analyst
    • Data Technologies Specialist
    • Machine Learning Engineer
    • Big Data & AI Architect
    • Big Data Scientist
    • Artificial Intelligence Engineer
    • Research Engineer – Artificial Intelligence
    • Data and AI Consultant
    • Robotics Professional
    • Software Engineer
    • IoT Architect
    • Machine Learning Engineer
    • Machine Learning Architect

Intake: 60

Affiliation: Maulana Abul Kalam Azad University of Technology (MAKAUT) formerly known as WBUT

Approval: All India Council of Technical Education (AICTE)

[80% students are admitted from WBJEE, 10% from JEE (MAIN), 10% from Management Quota + 3 students are from TFW Quota]

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

Almost all types of businesses in India and abroad are heavily relying on Data Science skill-sets. Apart from our regular recruiters like Tata Consultancy Services, Cognizant, Capgemini, Wipro, Infosys and such other IT Services Companies, other IT Services companies and IT product companies may also recruit Data Science students.

Also Deloitte, Musigma, Flipkart, Accenture, Ericsson India, Reliance Jio, GE-HealthCare, Tiger Analytics, Zensar Technologies, Mahindra & Mahindra, TCG Digital Solutions Private Limited, Maventic Innovative Solutions Pvt. Ltd., FRACTAL Analytics, Hitachi Vantara, Gartner etc. are some the eminent Companies who are extensively hiring data science professionals.

PSO – I:   Students at the time of graduation will be able to design and develop Computer-based systems in the areas related to IoT, Machine learning, Cloud computing, and data analytics of varying complexity.

PSO – II:   Students at the time of graduation will be able to apply domain knowledge and expertise for enhancing research capability to transform innovative ideas into reality.

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. 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. 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. 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

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