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Computer Science & Engineering - Data Science

About Us

The Department of Computer Science Engineering in Data Science offers 4-year degree in Data Science, which are established in the year 2020. The courses are flexible and have been structured to meet the evolving needs of the IT industry. The College Academic Council, Board of Studies of the department strive to provide quality education and most advanced curriculum and syllabus to make the students industry ready and excel in the contemporary business world.

B. Tech. in Data Science is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like artificial intelligence, data science, machine learning and deep learning. The main goal of Data Science (DS) is to program computers to use example data or experience to solve a real-life / real-time problem.

Vision

To become recognized data science centre, emphasizing academic excellence, pioneering research, and data driven solutions, contributing significantly to global technological advancement and socio-economic development.

 

Mission

Mission 1:  To foster a culture that empowers students with state-of-the-art laboratories and learned faculty to compete in the data driven world.
Mission 2:  To provide a dynamic atmosphere for data-driven exploration in collaboration with global industry and research organization, encouraging innovation and entrepreneurship.
Mission 3:  To nurture inter-disciplinary and project-based learning among students along with professional ethics to serve the society.

Career Prospects
  • To maintain a high standard of education through outstanding teaching innovative curriculum and research training that reflect the changing needs of society.
  • To attract highly motivated students with enthusiasm, attitude and interest in Artificial Intelligence and Data Science.
  • To pursue excellence in research and technology transfer.
  • To increase the public awareness of departmental activities and the Artificial Intelligence & Data Science profession.

E-Notice Board

Online Faculty Development Programme

A Five Days International Level Online Faculty Development Programme on “Full Stack Data Science with Generative AI” was organised by Department of Computer Science Engineering - Data Science from 19th to 23rd August 2024.

Guest Lecture

An Guest Lecture "Ethical Horizons: Navigating Responsible AI in the Modern World" was organized by Department of Computer Science & Engineering - Data Science on 20th August 2024.
 

Online Guest Lecture

An Online Guest Lecture on “How to Write a Patent Application?” was organized by Department of Computer Science & Engineering - Data Science on 05th August 2024.

Webinar

A Guest Lecture on “The Roadmap to Success in IT Career Pathways” was organised by Department of Computer Science Engineering - Data Science on 4th May 2024.

Workshop

A Hands on Workshop on "Azure Cloud Essentials" was organized by Department of Computer Science & Engineering - Data Science on 20th April 2024.

D'Festa 2K24

A One Day National Level Technical Symposium D'Festa 2K24 was organized by Department of Computer Science & Engineering - Data Science on 4th April 2024.

Faculty Development Programme

A Five Days National Level Online FDP on "Unlocking Industry Insights in Data Science" was organized by Department of Computer Science and Engineering - Data Science from February 12th to 16th 2024.

Industrial Visit

An Industrial Visit to Saviynt, Bengaluru was organized by Department of Computer Science Engineering - Data Science on 5th February 2024.

MoU

A MoU Exchange Between MITS & Ravuru Tech Private Ltd, Bengaluru was organised by Department of Computer Science and Engineering - Data Science on 25th January 2024.

National Youth Day Celebration

The “National Youth Day Celebration” was organized by Department of Computer Science and Engineering - Data Science In Association with Institution Innovation Council on 12th January 2024.

MINI-ANVESHANA

A MINI-ANVESHANA was organised by  Department of Computer Science & Engineering - Data Science In Association with Agastya International Foundation & Synopsys on 02nd December 2023.

Guest Lecture

A Guest Lecture on "Open Mic Mastering the art of Public Speaking" was organized by Skill Bee Club (Student Activity Centre) on 30th November 2023.

Guest Lecture

A One Day Entrepreneurship Development Program on “Company registration and Documentations to start a new Business” was organized by Department of CSE-Data Science in association with Entrepreneurship Development Cell on 24th November 2023.

Workshop

A Hands-On workshop on “No-SQL (MongoDB) and Scalable E-commerce Solutions” was organized by Department of Computer Science and Engineering (Data Science) on 08th November 2023.

Webinar

A Webinar on Interview Skills Mastery with AI Tools was organized by Department of Computer Science & Engineering - Data Science  on 10th November 2023.

Inauguration Ceremony

An Inauguration Ceremony of Data Oracle Club was organized by Department of Computer Science & Engineering - Data Science on 06th November 2023.

Parent's Meeting

A Parent's Meeting was organised by Department of Computer Science Engineering - Data Science on 04th November 2023.

Webinar

A Webinar on “Impact of Big Data on Innovation in Industry” was organised by Department of Computer Science Engineering - Data Science on 1st November 2023.

Courses View All Courses

B.Tech - Four year program

PEOs & PSOs

Contact Us

Dr. S. Kusuma

Head of the Department - CSE - Data Science

  • Address :

    Madanapalle Institute of Technology & Science
    Post Box No: 14, Kadiri Road,
    Angallu, Madanapalle-517325,
    Andhra Pradesh, India.

  • Phone : +91-8571-280255; 280706

  • E Mail : [email protected]

Under Graduate

Bachelor of Technology (B.Tech) Program

The Department has the best undergraduate program required for the IT industry. The course curriculum for the undergraduate program gives the flexibility to the students to prepare for advanced specializations. The department commits to offer a set of electives so that students can plan their academic program in advance. The course structure provides a right mix of compulsory and elective courses.

Curriculum

The B.Tech Program is divided into two distinct parts. A student has to go through a common program called Core Curriculum. Most of the core curriculum is completed in the first four semesters. The last four semesters have a large number of professional courses, that initiates the student to acquire the knowledge in the field of Artificial Intelligence and Data Science. The Core Curriculum consists of a package of compulsory courses in Physics, Chemistry, Mathematics, Engineering Sciences and Technical Arts.

The Professional Curriculum consists of courses and Project Work. There are some compulsory courses, but there is a significant number of professional electives as well.

Department Information:

The Department of Data Science offers 4-year degree, which is established in the year 2022. The course is flexible and has been structured to meet the evolving needs of the IT industry.

Department Activities:

“To train up the students to increase their managerial skills on par with Industry. Conducting IT games to bring up the creative thoughts and conducting classes to improve their personality”.

Computer Lab:

The computer center is located in three floor circular building with centralized A/c and it is equipped with 575 P – IV systems with latest configuration and 3 servers. Internet facility is provided to all the students. Each student is provided with an independent workstation.

Data Science - B.Tech I Year I Semester - R23

S.No Name of the Subject Theory/Lab Credits
1 Communicative English Theory 2
2 Linear Algebra and Calculus Theory 3
3 Chemistry Theory 3
4 Basic Civil and Mechanical Engineering Theory 3
5 Introduction to Programming Theory 3
6 Communicative English Laboratory Lab 1
7 Chemistry Laboratory Lab 1
8 Computer Programming Laboratory Lab 1.5
9 Engineering Workshop Lab 1.5
10 Health and Wellness, Yoga and Sports   0.5

Data Science - B.Tech I Year II Semester - R23

S.No Name of the Subject Theory/lab Credits
1 Differential Equations and Vector Calculus Theory 3
2 Engineering Physics Theory 3
3 Basic Electrical and Electronics Engineering Theory 3
4 Engineering Graphics Theory 3
5 Data Structures Theory 3
6 Engineering Physics Laboratory Lab 1
7 Electrical and Electronics Engineering Workshop Lab 1.5
8 IT Workshop Lab 1
9 Data Structures Laboratory Lab 1.5
10 NSS / NCC / Scouts and Guides / Community Service   0.5

Data Science - B.Tech II Year I Semester - R23

S.No Name of the Subject Theory/Lab Credits
1 Universal Human Values Theory 3
2 Economics and Financial Accounting For Engineers Theory 2
3 Probability and Statistics for Computer Science Theory 3
4 Database Systems Theory 3
5 Design and Analysis of Algorithms Theory 3
6 JAVA Programming Theory 3
7 Database Systems Laboratory Lab 3
8 JAVA Programming Laboratory Lab 3
9 Python Programming Theory 3

Data Science - B.Tech II Year II Semester - R23

S.No Name of the Subject Theory/lab Credits
1 Discrete Mathematical Structures Theory 3
2 Digital Logic and Computer Organization Theory 3
3 Innovation and Incubation Courses Theory 2
4 Introduction to Data Science Theory 3
5 Data Engineering Theory 3
6 Data Science Laboratory Lab 1.5
7 Data Engineering Laboratory Lab 1.5
8 Exploratory Data Analysis with Python Lab 2
9 Environmental Science Lab -

Data Science - B.Tech I Year I Semester - R20

S.No Name of the Subject Theory/Lab Credits
1 Engineering Calculus Theory 3
2 Applied Physics Theory 4
3 Basic Electrical Engineering Theory 3
4 Programming for Problem Solving (Python) Theory 3.5
5 English for Professional Purposes Laboratory Theory 1
6 Physics Laboratory Lab 1.5
7 Electrical Engineering Laboratory Lab 1.5

Data Science - B.Tech I Year II Semester - R20

S.No Name of the Subject Theory/lab Credits
1 Professional English Theory 3
2 Linear Algebra Theory 3
3 Engineering Chemistry Theory 3
4 C Programming and Data Structures Theory 3
5 Engineering Graphics Theory 3
6 Chemistry Laboratory Lab 1.5
7 C Programming and Data Structures Laboratory Lab 1.5
8 Engineering and IT Workshop Lab 1.5

Data Science - B.Tech II Year I Semester - R20

S.No Name of the Subject Theory/lab Credits
1 Probability and Statistics for Computer Science Theory 3
2 Computer System Architecture Theory 3
3 Data Structures using Python Theory 3
4 Object Oriented Programming - JAVA Theory 3
5 Fundamentals of Artificial Intelligence Theory 3
6 Data Structures using Python Laboratory Lab 1.5
7 Object Oriented Programming - JAVA Laboratory Lab 1.5
8 Fundamentals of Artificial Intelligence Laboratory Lab 1.5
9 Skill Oriented Course – I
(Refer Annexure - IV)		   2
10 Environmental Science   0

Data Science - B.Tech II Year II Semester - R20

S.No Name of the Subject Theory/Lab Credits
1 Economics and Financial Accounting for Engineers Theory 3
2 Discrete Mathematical Structures Theory 3
3 Operating Systems Fundamentals Theory 3
4 Python for Data Science Theory 3
5 Design and Analysis of Algorithms Theory 3
6 Operating Systems Fundamentals Laboratory Lab 1.5
7 Python for Data Science Laboratory Lab 1.5
8 Design and Analysis of Algorithms Laboratory Lab 1.5
9 Skill Oriented Course – II
(Refer Annexure - IV)		 Lab 2
10 Indian Constitution   0

Data Science - B.Tech III Year I Semester - R20

S.No Name of the Subject Theory/Lab Credits
1 Database Management System Theory 3
2 Data Visualization Theory 3
3 Machine Learning Theory 3
4 Open Elective-1 Theory 3
5 Professional Elective-1 Theory 3
6 Data Visualization Laboratory Lab 1.5
7 Machine Learning Laboratory Lab 1.5
8 Skill Oriented Course – III
(Refer Annexure - IV)		 Lab 2
9 Disaster Management Lab 0
10 Summer Internship-1* Theory 1.5

Data Science - B.Tech III Year II Semester - R20

S.No Name of the Subject Theory/Lab Credits
1 Big Data Analytics Theory 3
2 Deep Learning Theory 3
3 Computer Networks Theory 3
4 Open Elective-II Theory 3
5 Professional Elective-II Theory 3
6 Big Data Analytics Laboratory Lab 1.5
7 Deep Learning Laboratory Lab 1.5
8 Computer Networks Laboratory Lab 1.5
9 Skill Oriented Course – IV
(Refer Annexure - IV)		 Lab 2
10 Universal Human Values Theory 0

Data Science - B.Tech IV Year I Semester - R20

S.No Name of the Subject Theory/Lab Credits
1 Professional Elective-III Theory 3
2 Professional Elective-IV Theory 3
3 Professional Elective-V Theory 3
4 Open Elective-III Theory 3
5 Open Elective-IV Theory 3
6 Open Elective-V (Taken from Humanities & Social Science) Theory 3
7 Skill Oriented Course – V
(Refer Annexure - IV)		 Lab 2
10 Summer Internship-2 * Project 3

Data Science - B.Tech IV Year II Semester - R20 

S.No Name of the Subject Theory/Lab Credits
1 Project Work, Seminar and Internship in Industry (6 months) Project 12

 

Master Time Tables

 

Individual Faculty Time Tables

 

Post Graduate
Faculty

  • Dr. K. Lokeshwaran

    Asst. Professor
    Ph.D. (SCSVMV University)

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  • Dr. S. Kusuma

    Asst. Professor & Head
    Ph.D. (VIT University)

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  • Dr. S. Gopalakrishnan

    Asst. Professor
    Ph.D. (Anna University)

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  • Dr. N. Komal Kumar

    Asst. Professor
    Ph.D. (St. Peter’s Institute of Higher Education and Research)

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  • Mr. T. Balaji

    Asst. Professor
    M.Tech., (Ph.D.) (Anna University)

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  • Mr. M. Kiran Kumar

    Asst. Professor
    M.Tech., (Ph.D.) (VIT University)

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  • Mrs. K. Pugazharasi

    Asst. Professor
    M.E., (Ph.D) (Anna University)

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  • Mrs. R. Roopa

    Asst. Professor
    M.Tech., (Ph.D.) (Sri Venkateswara University)

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  • Mrs. Vidhyashree B

    Asst. Professor
    M.Tech., (Ph.D) (Visvesvaraya Technological University)

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  • Mrs. F. Twinkle Graf

    Asst. Professor
    M.E., (Ph.D.) (Anna University)

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  • Mr. A. Kalyan Kumar

    Asst. Professor
    M.Tech., (Ph.D) (Acharya Nagarjuna University)

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  • Mrs. Manjula Prabakaran

    Asst. Professor
    M.Tech., (Ph.D) (Annamalai University)

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  • Mr. K. Durga Charan

    Asst. Professor
    M.Tech., (Ph.D) (JNTU, Kakinada)

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  • Mrs. T. Swetha

    Asst. Professor
    M.Tech., (Ph.D) (Amrita Vishwa Vidyapeetham)

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  • Mrs. Anusuri Krishna Veni

    Asst. Professor
    M.Tech., (Ph.D.) (JNTU, Kakinada)

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  • Mr. Rajkumar. G

    Asst. Professor
    M.Tech., (Ph.D) (St. Peter's Institute Of Higher Education and Research)

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  • Mr. Arockia Raj Abraham

    Asst. Professor
    M.Tech.

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  • Mrs. M. Nandhini

    Asst. Professor
    M.E.

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  • Mr. Rantu Das

    Asst. Professor
    M.Tech.

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  • Mr. G. Kiran Kumar

    Asst. Professor
    M.Tech.

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  • Mr. B. Bhaskar

    Asst. Professor
    M.Tech.

    View Profile

  • Mrs. Anuradha Prudhivi

    Asst. Professor
    M.Tech.

    View Profile
Lab
Event
Faculty Achievements
Student Achievements
List of Publications
Surveys from Stakeholders

Centre of Excellence in Data Science


The Department of Computer Science and Engineering (Data Science) offers consulting services in the following areas: creating websites, developing smart applications, gaining insights from big data, and training in analytics and data visualisations along with efficient report development.

 

Facilities Available:

NAME DELL Power Edge R710 (High End Server)
Processor Intel(R), Xeon (R) CPU
GPU ACCELERATOR 2.13 GHz 8 CPU/ 2.127 GHz
RAM 72 GB
Storage 1 TB * 3 SAS (RAID 5)
Network 10/100/1000 Mbps *4

 

S.No Name of the Facility
1 Software Power BI ,Tableau, Grouparoo, Pimcore, Matlab, Apache Spark, Colorbrewer, Cytoscape, Datawrapper
2 IoT Setup Sensors, 3D Printer

 

Consultancy Services:

  • Design of Smart, Web and Mobile Applications according to client specifications: We offer consultancy services for design and development of microcontroller based smart, web, Android and IOS Applications.
  • Data Centric Services: We offer consultancy services for Insights of Data, Data Visualization, Data Analytics, Forecasting, Data Modeling, Predictive Model and Sentiment analysis.
  • Class room training to graduate trainee engineers in Network Engineering, R Programming, Internet of Things and Informatica.


Do-Club:

By using effective algorithms and statistics, Do-Club members may handle a multitude of real-world challenges and find solutions to problems that influence society as a whole. A few specific research issues

  • Dealing with Vulnerabilities, Privacy and Ethics of Data Analytics
  • Building Computing Systems for Data Intensive Applications
  • Smart and Efficient e-Governance
  • Handling Real-time Images and Video Analytics for various applications
  • Social Media Analytics for critical applications like Fake News Detection
  • Comprehensions of Machine Learning and Deep Learning Systems
  • Sector-Specific Data Analytics like Healthcare, Education and e-Commerce


Industry Partner (MoU):

  • AltSense Technology Service LLP, Chennai
  • Mirthbees Technology Solutions , Chennai
  • Ravuru Tech Pvt Ltd,Bangalore

 

Subject Expert

S.No Faculty Name Expert in Area
1 Dr. S. Kusuma Deep Learning, MySql &Data Science
2 Dr. K. Lokeshwaran Java, MySql & Java Based Web Services
3 Dr. S. Gopalakrishnan IOT, Data Visualization & Data Analytics
4 Dr. N. Komal Kumar Machine Learning & Deep Learning
5 Mr, G. Rajkumar Data Analytics & Machine Learning

 

 

 

List of Publications

 

Journals

Conferences

Books & Book Chapters

Patents

Master Time Tables

 

Individual Faculty Time Tables

Remedial Schedule
2019-20 Odd Semester
2019-20 Even Semester
Events

2024-25

  1. An Inauguration of "IEEE Reliability Society under MITS IEEE Student Branch" was organized by Department of Computer Science & Engineering - Data Science on 20th August 2024.
    Click here for Report on Event

  2. A Five Days International Level Online Faculty Development Program on “Full Stack Data Science with Generative AI” was organized by Department of Computer Science Engineering - Data Science from 19th to 23rd August 2024.
    Click here for Report on Event

  3. A Guest Lecture "Ethical Horizons: Navigating Responsible AI in the Modern World" was organized by Department of Computer Science & Engineering - Data Science on 20th August 2024.
    Click here for Report on Event

  4. An Online Guest Lecture on “How to Write a Patent Application?” was organized by Department of Computer Science & Engineering - Data Science on 05th August 2024.
    Click here for Report on Event

2023-24

  1. A Guest Lecture on “The Roadmap to Success in IT Career Pathways” was organised by Department of Computer Science Engineering - Data Science on 4th May 2024.
    Click here for Report on Event

  2. An Industrial Visit to Launching visit of PSLV-C55/TeLEOS-2 MISSION, ISRO, Sriharikota was organized by Department of Computer Science Engineering - Data Science on 22nd April, 2023.
    Click here for Report on Event

  3. A Hands on Workshop on "Azure Cloud Essentials" was organized by Department of Computer Science & Engineering - Data Science on 20th April 2024.
    Click here for Report on Event

  4. A One Day National Level Technical Symposium D'Festa 2K24 was organized by Department of Computer Science & Engineering - Data Science on 4th April 2024.
    Click here for Report on Event

  5. A Workshop on “Data Science Using Python” was organized by Department of Computer Science Engineering - Data Science in association with Brainovision Solutions India Private Limited on 19th February 2024.
    Click here for Report on Event

  6. A Five Days National Level Online FDP on "Unlocking Industry Insights in Data Science" was organized by Department of Computer Science and Engineering - Data Science from February 12th to 16th 2024.
    Click here for Report on Event

  7. An Industrial Visit to Saviynt, Bengaluru was organized by Department of Computer Science Engineering - Data Science on 5th February 2024.
    Click here for Report on Event

  8. A MoU Exchange Between MITS & Ravuru Tech Private Ltd, Bengaluru was organised by Department of Computer Science and Engineering - Data Science on 25th January 2024.
    Click here for Report on Event

  9. The “National Youth Day Celebration” was organized by Department of Computer Science and Engineering - Data Science In Association with Institution Innovation Council on 12th January 2024.
    Click here for Report on Event

  10. A MINI-ANVESHANA was organised by  Department of Computer Science & Engineering - Data Science In Association with Agastya International Foundation & Synopsys on 02nd December 2023.
    Click here for Report on Event

  11. A Guest Lecture on "Open Mic Mastering the art of Public Speaking" was organized by Skill Bee Club (Student Activity Centre) on 30th November 2023.
    Click here for Report on Event

  12. A One Day Entrepreneurship Development Program on “Company registration and Documentations to start a new Business” was organized by Department of CSE-Data Science in association with Entrepreneurship Development Cell on 24th November 2023.
    Click here for Report on Event

  13. A Hands-On workshop on “No-SQL (MongoDB) and Scalable E-commerce Solutions” was organized by Department of Computer Science and Engineering (Data Science) on 08th November 2023.
    Click here for Report on Event

  14. A Webinar on Interview Skills Mastery with AI Tools was organized by Department of Computer Science & Engineering - Data Science  on 10th November 2023.
    Click here for Report on Event

  15. An Inauguration Ceremony of Data Oracle Club was organized by Department of Computer Science & Engineering - Data Science on 06th November 2023.
    Click here for Report on Event

  16. A Parent's Meeting was organised by Department of Computer Science Engineering - Data Science on 04th November 2023.
    Click here for Report on Event

  17. A Webinar on “Impact of Big Data on Innovation in Industry” was organised by Department of Computer Science Engineering - Data Science on 1st November 2023.
    Click here for Report on Event

  18. A Workshop on IoT using nodeMCU & MoU Signing Ceremony With Altsense Technology Services LLP, Chennai was organized by Department of Computer Science & Engineering - Data Science on 9th & 10th October 2023.
    Click here for Report on Event

  19. Smart India Hackathon was organized by Department of Computer Science Engineering - Data Science on 26th September 2023.
    Click here for Report on Event

  20. An Alumni Guest Lecture on "Tech Talk in cloud and network security: Getting Ready to Placement" was organized by Department of Computer Science and Engineering (Data Science) on 11th August 2023.
    Click here for Report on Event

2022-23

  1. A Guest Lecture on "Big Data Analystics" was organized by Department of Computer Science & Engineering (Data Science) on 30th June 2023.
    Click here for Report on Event

  2. A Guest Lecture on "Exploring the Frontiers of AI : GPT for Early Adopters"  was organized by Department of Computer Science & Engineering (Data Science) on 27th June 2023.
    Click here for Report on Event

  3. A one-day National Level Student Technical Symposium RAIDS (Rise of Artificial Intelligence and Data Science) was organized by Department of Artificial Intelligence and Data Science on 19th April 2023.
    Click here for Report on Event

  4. A Guest Lecture on "Insights of tasks in Data Science and AI" was organised by Department of Artificial Intelligence & Data Science in association with IEEE Student Branch on 2nd February 2023.
    Click here for Report on Event

  5. A Webinar on "Entrepreneurial Uses of AI” was organised by Department of Artificial Intelligence & Data Science in association with Entrepreneurship Development Cell on 25th January 2023.
    Click here for Report on Event

  6. A Webinar on Artificial Intelligence in Real Time Applications was organized by Department of Artificial Intelligence and Data Science in Association with ISTE Student Chapter on 28 December 2022.
    Click here for Report on Event

  7. A Guest Lecture on “Current Environmental Cyber Crime, Cyber Security and Cyber Evolution” was organised by Department of Artificial Intelligence & Data Science on 21st December 2022.
    Click here for Report on Event

  8. A One Day workshop on “An Introduction to Research Document Preparation using LaTex” was organised by Department of Artificial Intelligence & Data Science in association MITS-IIC on 17th December 2022.
    Click here for Report on Event

  9. A One Day Virtual Workshop on "Robotics, AI & Machine Learning" Jointly organized by the Departments of AI&DS, EEE and ME on 19th December 2022.
    Click here for Report on Event

  10. An Industrial Visit to National Atmospheric Research Laboratory (NARL), was organized by Department of Artificial Intelligence and Data Science on 16th November 2022.
    Click here for Report on Event

  11. A National Education Day’22 programme Event was organised by the Department of AI & DS in association with MITS-Institution’s Innovation Council (IIC) on 11th November 2022.

  12. A One Day Workshop On “Applications Of Statistics In Artificial Intelligence And Data Science” was organized by Department of AI & DS in association with Department of Mathematics on 20th October 2022.
    Click here for Report on Event

Class Rooms

Department Infrastructure

To facilitate effectual teaching and learning activities, the department has excellent infrastructure, which includes:

The department has ample labs, even beyond curriculum requirements,the which are used students from all years ot study. The labs are allotted to the students for every week as per the timetable. Apart from the regular labs, research lab is also available for faculties and students to carry out their research and project work.The maintenance of infrastructure and facilities at the Department is carried out in a timely and thorough manner to ensure maximum availability and minimum downtime of the equipment and services. All the lab facilities and services are made available to the students even in the after-hours and holidays to enable their maximum utilization and benefit to the students.

  • Air-conditioned seminar hall
  • State-of-the-art digital classroom
  • All IT enabled classrooms
  • Classrooms with sound systems
  • Well-equipped laboratories
  • Continuously upgraded computer facilities
  • Well-stocked Department library

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