Call for applications for the post of Assistant Professor in the Department of Computer Science

Category : News & Events

Candidates with the following qualifications may apply with their CV at  addressing the mail to the Head of Department of Computer Science.

Qualifications:

1. Ph.D. in either of Computer Science, Engineering, Statistics, Mathematics

2. Two years of Post Doc experience in a premier institution in India or abroad.

3. At least three years of teaching experience in any University offering postgraduate courses

4. Must have experience in teaching the following courses for the post-graduate students:

  • Applied Stochastic Processes
  • Multivariate Statistics
  • Time Series and Forecasting

Last date to apply: 23 August 2019

Tentative dates for the interview: August 2019.


One day Seminar on Image and Video Analytics- A primer on new age skills

Category : News & Events

About the Event

Click for the event poster.

Date and Venue

30 March 2019, University Main Campus, Belur Math

How to Apply

Step 1: The delegates must apply through this Google form

Step 2: After carrying out Step 1, the delegates must make an online payment here https://forms.rkmvu.ac.in/product/event-registration-fees/

Any clarifications through Email

cs.rkmveri.seminars@gmail.com

2nd Workshop on Big Data Analytics: Theory and Practice – 2 June 2018

Category : News & Events

Department of Computer Science,
organizes
2nd One-day workshop on Big Data Analytics: Theory and Practice
on 2 June 2018
in collaboration with
Association for Computer Science and Discrete Mathematics.

SPEAKERS

Sl No. Speakers Institution Topic (Slides)
1. Dr. Bimal Roy Indian Statistical Institute Statistics and Business Analytics
2. Dr. Chandan Mazumder Jadavapur University

Overview of Big Data Analytics

3. Dr. Arindam Pal TCS Innovation Labs

Social Network Analysis

4. Dr. Sourangshu Bhattacharya IIT Kharagpur Machine Learning in Big Data Analytics
5. Dr. Anup Dewanji Indian Statistical Institute

Software Reliability

6. Mr.Sumit Misra GM, RS Software

Data Stream Analytics

BIG DATA ANALYTICS incorporates strategies for assimilation, management, analysis and interpretation of large datasets. The field lies at the intersection of statistics, mathematics, computer-science and engineering, with a diverse range of applications including health care, finance, business analytics, smart-cities, bio-informatics. In recent years, development of sophisticated `learning’ algorithms coupled with the availability of massive datasets and facilitated by powerful and efficient computing infrastructures, have led to pioneering improvements in several applications.

With UNDERGRADUATES and POSTGRADUATES of Science and Engineering as the target audience, this 2nd WORKSHOP aims at deriving the context for Big Data Analytics in theory and practice. The professionals including academicians, and entrepreneurs will also find this workshop informative, as it brings together leading data scientists from academia and industry to give an overview of the field, highlight the thrust areas of research, and present practical models. GRADUATES and UNDERGRADUATES are urged to make best use this opportunity to increase their awareness in this burgeoning and promising discipline.

Organizers

  • Dr. Aditya Bagchi
  • Dr. Sudipta Das
  • Dr. Tanmay Basu
  • Dr. Sagnik Sen
  • Br. Dripta

Delegate Fee :

Students undergoing UG or PG degree programme Rs 200/-.
Research Scholars Rs.300/-
Faculty/corporate professionals Rs 500/-

The applicant will be informed about the mode of remitting the delegate fee by email.

Last date for applying : 20 May 2018

Apply Online Now

Click here for : Workshop Poster

Contact:

Dr. Sudipta Das
033-2654 9999

Workshop on Big Data Analytics: Scopes and Career Opportunities – 24 Feb 2018

Category : News & Events

 

Workshop Photos: Click here


Department of Computer Science, RKMVERI, has organized a One-day workshop on the theme ‘Big Data Analytics: Scopes and Career Opportunities‘ on 24 Feb 2018.

 

SPEAKERS

Sl No. Speakers Institution Topic
1. Prof. Bimal Roy Indian Statistical Institute Statistics and Business Analytics
2. Prof. Debasis Sengupta Indian Statistical Institute Applied Multivariate Data Analysis`
3. Prof. Aditya Bagchi RKMVERI Business Intelligence and Data Integration
4. Dr. Debasis Sen IIT Kharagpur Machine Learning in Data Analytics: Recent Trends and Applications
5. Dr. Pralay Mitra IIT Kharagpur Bioinformatics: Present and Future
6. Mr. Santanu Ghosh Tata Consultancy Services Big Data Analytics: Scopes and Career Opportunities

and more…….

BIG DATA ANALYTICS incorporates strategies for assimilation, management, analysis and interpretation of large datasets. The field lies at the intersection of statistics, mathematics, computer-science and engineering, with a diverse range of applications including healthcare, finance, business analytics, smart-cities, bio-informatics. In recent years, development of sophisticated `learning’ algorithms coupled with the availability of massive datasets and facilitated by powerful and efficient computing infrastructures, have led to pioneering improvements in several applications.

With UNDERGRADUATES of Science and Engineering as the target audience, this WORKSHOP brings together leading data scientists from academia and industry to give an overview of the field, highlight the thrust areas of research, and present scopes and exciting career opportunities. GRADUATES and UNDERGRADUATES are urged to make best use this opportunity to increase their awareness in this burgeoning and promising discipline.

Organizers

  • Dr. Aditya Bagchi
  • Dr. Sudeep Mallick
  • Dr. Sudipta Das
  • Dr. Tanmay Basu

Contact:

Dr. Sudipta Das
bdaworkshop2018 _at gmail dot_ com
033-2654 9999

Time: 9:30 – 17:00 hrs

Application Fees : INR 50/- (to be paid on the day of the Workshop)

Last date for applying : 20 Feb 2018

Apply Online Now

Click here for : Workshop Poster


MSc in Computer Science 2017 – List of Selected Candidates

Category : News & Events

The following candidates have been selected for admission to MSc degree programme in Computer Science – 2017.

  1. Abhirup Nandy
  2. Aditya Pal
  3. Arijit Nandi
  4. Koustav Bhanja
  5. Mohit Prajapati
  6. Prantik Saha
  7. Ritesh Seth
  8. Sagnik Roy
  9. Shirshak Das
  10. Soura Sena Das
  11. Sujash Naskar
  12. Susobhan Bandopadhyay

Note: Classes will commence from 1st June 2017, 10:00 am.

Visit Admissions page for admission related information.

Registrar/-


MSc in Big Data Analytics 2017 – List of Selected Candidates

Category : News & Events

The following candidates are selected for admission to the MSc degree programme in Big Data Analytics – 2017.

  1. Amlan Ghosh
  2. Anik Roy
  3. Chandan Mondal
  4. Farhan Siddiqui
  5. Nabarup Maity
  6. Olivia Saha
  7. Ritisha Dasgupta,
  8. Samrat Chaudhuri
  9. Shreya Nandi
  10. Shubhaditya Goswami
  11. Soumik Kumar Das*
  12. Sukanya Pal
  13. Sutanu Sardar

The following candidates are in waiting list.

  1. Soumik De
  2. Poulomi Mukherjee
  3. Sanchari Chakraborti

Note: Classes will commence from 1st June 2017, 10:00 am.
Visit Admissions page for admission related information.

Registrar/-


Results of Entrance Test for Admission to MSc in Computer Science 2017

Category : News & Events

The following name ordered list of students are called for interview on 9 May, at 10:00am.

  • Abhirup Nandy
  • Aditya Pal
  • Arijit Nandi
  • Arnab Das
  • Arup Das
  • Ayan Kumar Saha
  • Biswanath Nag
  • Debapriya Mondal
  • Ishanneel Chaudhuri
  • Koustav Bhanja
  • Mohit Prajapati
  • Mrinmoy Sadhukhan
  • Niloy Biswas
  • Prantik Saha
  • Ritesh Seth
  • Sagnik Roy
  • Shiladitya Sengupta
  • Shirshak Das
  • Siddhartha Chakraborty
  • Sougata Nath
  • Soura Sena Das
  • Sourav Das
  • Souvik Dhara
  • Souvik Maitra
  • Subhajit Pal
  • Subhankar Ghosh
  • Subrata Ghosh
  • Sujash Naskar
  • Susobhan Bandopadhyay

Note: You must bring all relevant original documents to the interview.

Registrar/-


MSc Big Data Analytics- Entrance test results

Category : News & Events

The following name ordered list of students are called for interview on 10 May, at 10:00am.

  1. Aditya Aryan
  2. Amlan Ghosh
  3. Anik Roy
  4. Chandan Mondal
  5. Chinmay Chakraborty
  6. Chirayata Kusari
  7. Debolena Basak
  8. Farhan Siddiqui
  9. Himanshu Deo
  10. Kriti Kumari
  11. Manas Paul
  12. Nabarup Maity
  13. Olivia Saha
  14. Pallab Nandi
  15. Poulomi Mukherjee
  16. Sai Reddy
  17. Samrat Chaudhuri
  18. Sanchari Chakraborti
  19. Sandip Guchhait
  20. Sayan Chatterjee
  21. Shreya Nandi
  22. Shubhaditya Goswami
  23. Soumik De
  24. Soumik Kumar Das
  25. Subhodeep Dey
  26. Sukanya Pal
  27. Sumana Bag
  28. Sutanu Sardar
  29. Tathagata Ray

Note: You must bring all relevant original documents to the interview.

Registrar/-


Data scientists earning more than CAs, engineers

Category : News & Events

Source: Times of India, May 8, 2016

MUMBAI: In 2012, Harvard Business Review named data scientist the “sexiest job of the 21st century”. More recently, Glassdoor named it the “best job of the year” for 2016. In India, too, companies are scrambling to hire data scientists, sending salaries soaring.
According to TeamLease, a staffing solutions company, data scientists with around 5 years’ experience are earning over 75 lakh per annum as compared to 8-15 lakh for CAs and 5-8 lakh for engineers with the same experience level.

So who exactly are data scientists? It’s a loose term but these are the guys who know how to look at the data a company generates, and derive the all-important insights it needs to garner more business and enhance customer experience in this age of social media.

With companies across industries striving to bring their research and analysis (R&A) departments up to speed, the demand for qualified data scientists is rising.

“India will face a demand-supply gap of 2,00,000 analytics professionals over the next three years. Even in the US, only 40 out of 100 positions for analytics professionals can be filled,” said Rituparna Chakraborty , co-founder & senior VP of TeamLease Services.

In the US, data scientists get upwards of $2,00,000 per annum.

Data analytics professionals are primarily mathematicians, statisticians, database/data warehouse engineers, data miners and IT professionals with data warehousing skills.

A data scientist is a hybrid of many of the above listed skills and, therefore, a rare breed. To meet their talent requirements, some companies have come up with unique programmes.

WNS, which is in the business process management industry, has created a fully funded post-graduate MBA programme in business analytics customised around its needs. All students completing the programme would be absorbed by WNS.

Keshav Murugesh, Group CEO of WNS, said: Business models are changing across the world. A lot more data is available and companies want to provide focused, prescriptive solutions. If analytics is going to play such a big part, we need to make sure we have the right kind of talent and skills inside the company to feed those programmes.”

WNS currently draws 13% of its revenue from research and analysis, and believes there is further growth potential. In a competitive world, companies like WNS want to leverage data using interactive models, algorithms, automation and then create predictive-based analytics to serve clients better.

Two years ago you wouldn’t be talking about data scientists, social architects or anthropologists working in a company,” pointed out Prithvi Shergill, CHRO at HCL Technologies. But now a lot of people are very keen to align their long term careers around analytics.

However, curriculums have not evolved fast enough and this is not restricted to India alone. US-based thought leader and HR consultant, Jason Averbook, said: In addition to maths and statistics, there is also a requirement for people with marketing communications. It’s this combination of maths and marketing communications that’ll create storytellers so that data can be used and turned into a story. The whole science/data analysis area is going through a major transformation right now. Curriculums are being changed but the best people are doing it on their own.”

Data scientists earning more than CAs, engineers Namrata Singh | TNN | May 8, 2016, 05.46 AM IST MUMBAI: In 2012, Harvard Business Review named data scientist the “sexiest job of the 21st century”. More recently, Glassdoor named it the “best job of the year” for 2016. In India, too, companies are scrambling to hire data scientists, sending salaries soaring.

According to TeamLease, a staffing solutions company, data scientists with around 5 years’ experience are earning over 75 lakh per annum as compared to 8-15 lakh for CAs and 5-8 lakh for engineers with the same experience level.

So who exactly are data scientists? It’s a loose term but these are the guys who know how to look at the data a company generates, and derive the all-important insights it needs to garner more business and enhance customer experience in this age of social media.

With companies across industries striving to bring their research and analysis (R&A) departments up to speed, the demand for qualified data scientists is rising.

“India will face a demand-supply gap of 2,00,000 analytics professionals over the next three years. Even in the US, only 40 out of 100 positions for analytics professionals can be filled,” said Rituparna Chakraborty , co-founder & senior VP of TeamLease Services.

In the US, data scientists get upwards of $2,00,000 per annum.

Data analytics professionals are primarily mathematicians, statisticians, database/data warehouse engineers, data miners and IT professionals with data warehousing skills.

A data scientist is a hybrid of many of the above listed skills and, therefore, a rare breed. To meet their talent requirements, some companies have come up with unique programmes.

WNS, which is in the business process management industry, has created a fully funded post-graduate MBA programme in business analytics customised around its needs. All students completing the programme would be absorbed by WNS.

Keshav Murugesh, Group CEO of WNS, said: Business models are changing across the world. A lot more data is available and companies want to provide focused, prescriptive solutions. If analytics is going to play such a big part, we need to make sure we have the right kind of talent and skills inside the company to feed those programmes.”

WNS currently draws 13% of its revenue from research and analysis, and believes there is further growth potential. In a competitive world, companies like WNS want to leverage data using interactive models, algorithms, automation and then create predictive-based analytics to serve clients better.

Two years ago you wouldn’t be talking about data scientists, social architects or anthropologists working in a company,” pointed out Prithvi Shergill, CHRO at HCL Technologies. But now a lot of people are very keen to align their long term careers around analytics.

However, curriculums have not evolved fast enough and this is not restricted to India alone. US-based thought leader and HR consultant, Jason Averbook, said: In addition to maths and statistics, there is also a requirement for people with marketing communications. It’s this combination of maths and marketing communications that’ll create storytellers so that data can be used and turned into a story. The whole science/data analysis area is going through a major transformation right now. Curriculums are being changed but the best people are doing it on their own.”

Averbook, who was in India recently as the keynote speaker at SHRM Tech HR, told TOI that companies should hire freshers. “Twenty year olds are much more equipped at data than forty year olds. The sooner companies can get their hands on those who really understand data and then teach them their business, the better. It’s hard to reskill.”

Shergill, however, believes such talent also needs to be built from within through re-skilling. Although organizations are grooming existing analysts and senior managers with analytical aptitudes for data scientist roles and building the talent pool in-house, advanced analytics skills are not easily learned. Some managers go for formal training and certification in advanced analytics and companies are encouraging the same.