NGP Arts

Department of Computer Science with Data Analytics

Overview

The tidal wave of data and the intelligence that emerges from it is creating a Global Demand for professionals with skills in Data Analytics. Hence the Department of Computer Science with Data Analytics was established in the year 2019.The department offers B.Sc. Computer Science with Data Analytics and M.Sc. Computer Science with Data Analytics.

The curriculum is strongly oriented towards industry and the Department is committed to provide a unique learning environment with academic and industry mentors.

The Bachelor degree in Computer Science with Data Analytics is one of its kind which combines Computer Science, Mathematics and Statistics for a deeper understanding of Data Analytics. M.Sc. Computer Science with Data Analytics is a two year programme involving rigorous and comprehensive academic course work and hands on advanced data analytics. The curriculum emphasizes research, intensive training methods, internships and live projects. Graduates would be industry ready for fast growing Data Analytics industry and also to launch their own startups

Courses

Duration

3 Years

Commencement

July

Intake

Eligibility

HSC with Mathematics / Statistics / Business Mathematics / Computer Science

Duration

2 Years

Commencement

July

Intake

Eligibility

B. Sc Computer Science / Computer Technology / Information Technology / Software Systems / Electronics / BCA / B. Sc Applied Sciences (IT/CT)

Vision

To evolve into a premier department that, empowers students with strong foundation in computer science and data analytics skills who will be responsive to the needs of science and technology and productive to the society.

Mission

  • Continuously Endeavour to provide strong theoretical foundation complemented with extensive practical training
  • Facilitate industry – institute collaborations for knowledge sharing
  • Inculcate the spirit of team work, right attitude and social consciousness

Academic Activites (2022-23)

Guest Lecture/Invited Lecture

S. No.

Date

Name and Designation of the Resource Person

Topic

Venue

Beneficiary

1 17-Oct-2022 Mr.M.Velmurugan,
Data Scientist, IQ General Systems Pvt Ltd.,Coimbatore
Predictive Analytics and Artificial Intelligence in E-Commerce Seminar Hall III B.Sc, I-PG & II PG
2 05-Aug-22 Mr. M. Muthu Kumar
Senior Associate, L & T Info Tech , Coimbatore
Data Visualization Computer Lab 16 I,II,III B.Sc. CSDA and II M.Sc. CSDA

Seminar /Workshop Conferences organized

S. No.

Date

Nature of the Event (Conference/ Seminar/Workshop )

Number of External Participants

Title of the Event

Name & Designation of the Speakers

1 05-Nov-22 Alumni Interaction III- B.Sc. and I-M.Sc. Data Driven Decision Making with Power BI Mr.Sabarish. A.M
Associate Engineer, Data Engineering Team Cloud Destinations Pvt Ltd, Coimbatore
2 08-Oct-22 Hands on Training II UG PC Hardware Assembly Mr. S. Poorna Senthilkumar
Assistant Professor, Department of BCA, Dr. N. G. P. Arts and Science College, Coimbatore
3 10-Sep-22 Workshop II B.Sc. CSDA and II M.Sc. CSDA (58) AWS Cloud Services Mr. Nithish Kumar
Technical Engineer, AWS Cloud Infrastructure Quadra Systems, Coimbatore

Extension Activites

S. No.

Date

Event / Programme

Topic

Guest / Venue

1 24-Sep-22 First Aid Awareness Chinna Thadagam II B.Sc. CSDA, III B.Sc. CSDA and II M.Sc. CSDA
2 08-Oct-22 Awareness on Digital India Schemes - Digi –Locker and Farmers Portal Velliankadu III B.Sc. and II M.Sc

Staff participation

S. No.

Date

Name of the Faculty

Name of the Workshop/FDP/Training Programme

College

1 25-Aug-22 All Staff (FCS & Allied) Faculty Professional Development Topic: Voronoi and its Applications Dr. N.G.P. College of Arts and Science, Coimbatore

Students Presentation

S. No.

Date

Name of the Student

Name of the event

Name of the title

College

1 13-Sep-22 Inter Departmental Competition Student Development Programme Code Compilers (Logic building) Dr.N.G.P Arts and Science College, Coimbatore
2 27-Aug-22 III UG Students Student Development Programme Big Data Mining Dr.N.G.P Arts and Science College, Coimbatore

Archive (2019-2022)

Faculty Details

01.Professor & HOD (i/c)
Pream Sudha
Dr. V. Pream Sudha
MCA., M.Phil., Ph.D.

preamsudha@drngpasc.ac.in

Experience

Teaching: 20.1 years | Research: 7 Years

Specialization

Data Mining

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02. Professor
Selvakumar
Dr.F. Mary Magdalene Jane
M.C.A., M.Phil., Ph.D.

marymagdalenejane@drngpasc.ac.in

Experience

Teaching: 24.1 years | Industry: 1 Year | Research: 4 years

Specialization

Data Analytics, Data Management

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03. Professor
Sountharraj
Dr. A C Sountharraj
MCA., M.Phil., Ph.D.

sountharraj@drngpasc.ac.in

Experience

Teaching: 14.2 years | Research: 5 Years

Specialization

Computer Networks

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04. Associate Professor
Gomathi
Dr.S.Gomathi
M.Sc., M.Phil., Ph.D.

gomathi.s@drngpasc.ac.in

Experience

Teaching: 17 years | Industry : 3 years

Specialization

Image Processing

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05. Associate Professor
Suganthi
Dr.R.Suganthi
MCA., M.Phil., Ph.D.

suganthi.r@drngpasc.ac.in

Experience

Teaching: 13.2 years

Specialization

Data Mining

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06. Assistant Professor (SG)
Bharathi Anbarasan
Ms.Bharathi Anbarasan
M.C. A., M. Phil., UGC CBSE – NET.

bharathianbarasan@drngpasc.ac.in

Experience

Teaching: 22 Years

Specialization

Data Communication and Networking

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07. Assistant Professor
Ms. C. Karpagam
M.C.A., M. Sc. (CP)., TN–SET., UGC-NET., (Ph.D.)

karpagam@drngpasc.ac.in

Experience

Teaching: 12.10 years | Industry: 1 year

Specialization

Pervasive Computing

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08. Assistant Professor
Shenbaha
Mrs.S.Shenbaha
M.Sc., M.Tech.

shenbaha.s@drngpasc.ac.in

Experience

Teaching: 4 years | Industry: 5 Years

Specialization

MDM – Multimedia Data Mining & Image Processing

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09. Assistant Professor
Ranjani
Mrs.R.Ranjani
M.C.A., M.Phil., UGC - NET

ranjani@drngpasc.ac.in

Experience

Teaching: 6.10 years | Industry: 2 Years | Research: 1 Year

Specialization

Data Mining

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10. Assistant Professor
Selvakumar
Ms.S.Govardhini
M.C.A., M.Phil.,SET, NET

govardhini@drngpasc.ac.in

Experience

Teaching: 6.8 years

Specialization

Computer Networks

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B.Sc CS with DA

Programme Outcomes

PO Number PO Statement
P01 Ability to apply knowledge of Computer science and mathematics to identify problems and model solutions
P02 Ability to analyze large data sets in the context of real world problems and interpret results
P03 Ability to Design, Implement and Evaluate solutions for computing problems
P04 Ability to apply current techniques, skills and tools necessary for data analytics
P05 Ability to exhibit soft skills and understand professional and social responsibilities.

M.Sc CS with DA

Programme Outcomes

PO Number PO Statement
P01 Ability to apply knowledge of Computer Science, Mathematics and Statistics to solve problems.
P02 Ability to model, analyse, design, visualize and realize physical systems or processes of increasing size and complexity
P03 An ability to select appropriate methods and tools for data analysis in specific organizational contexts
P04 An ability to analyze very large data sets in the context of real world problems and interpret results
P05 Ability to work in a team and understand professional and societal responsibilities

Student Achivements

News Letter

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