Department of Statistics

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About the Department

The Department of Statistics was established in 2006. Currently, the department offers M.Sc. Statistics, M.Sc. Five Year Integrated (Statistics), Ph.D. (Statistics), M.Sc Quantitative Finance programmes. The department aims to train students in the development and applications of Statistical techniques for analyzing data arising in the scientific investigation of problems in various disciplines. It also provides first hand practical experience in handling modern statistical software in the analysis of such data. In the present scenario, it is rather impossible, even to think of any field which does not employ modern statistical tools to arrive at rational conclusions from research studies and a statistician is always an indispensable part of any research team carrying out any research investigation.

The Department is supported for development of infrastructure by the Department of Science and Technology (DST), Government of India under FIST program and University Grants Commission (UGC) – Special Assistance Program (SAP) – DRS – I level. The faculty members are actively engaged in research and published papers in National and International journals.

+91-413-2654-390

nc.stat@pondiuni.ac.in

Vision and Message of Head of Department(i/c)

Dr. Navin Chandra

  • Associate Professor
Office Contact Details

+91-413-2654-699

office.dospu@gmail.com

Faculty

photokiruthika - kiruthika c
Professor
N Chandra 2020 - Navin Chandra
Associate Professor
photo - Vaidyanathan V S
Associate Professor
ProfilePicture-RVishnuVardhan
Associate Professor
Photo - sudesh pundir
Associate Professor
ProfilePhoto-PrabhakaraNaik
Associate Professor
The Department of Statistics has new premises constructed exclusively for the Statistics department with facilities like Seminar Halls, Statistical Computing Laboratories, Classrooms with LCD projectors and Wi-fi connectivity for conducting classes. There are around 70 terminals in the computing laboratories with high end configuration that support standard statistical software like IBM SPSS 19.0, MINITAB 17 and R language. Students will have ample opportunities to use of these software’s that will help them in placement after completion of the course. The course curriculum includes a blend of theoretical and applied papers. Preparing the students for the needs of current job market  trends is the main objective of our course programs. Statistics books (both text book and reference book) worth more than 20 lakhs are available in the Central Library in addition to e–resources and e–journals. The recent syllabus for M.Sc. course provides broad choice of opportunities in selecting the elective subject according to their preferences. Since the updated syllabus includes UGC-CSIR NET examination contents, the students will be benefitted in taking NET examination and other competitive examinations for the All India services.   Statistics department is hosting regular academic activities in the form of Conferences, Workshops, Seminars, Educational tours, Placement Activities, Alumni Networking, Skill Development Programs, Promotion of Research and Intellectual Properties, Statistical Software Training, etc. Semester wise Academic planning, Special invited lecture series with eminent people, Campus recruitment, Career guidance, Student coordinating activities for overall development, Choice based credit system, Freedom for selecting either internal or external soft core papers and pursue the courses as per the flexibility of students need are some other interesting features of the courses.
The Department is supported for development of infrastructure by the Department of Science and Technology (DST), Government of India under FIST program and University Grants Commission (UGC) – Special Assistance Program (SAP) – DRS – I level. The faculty members are actively engaged in research and published papers in National and International journals.   The department is making the up gradation of academic orientation and syllabus modification as per the current trends and changing requirements of job market as well as emerging changes in new knowledge inputs. There are periodical meetings of Board of studies to take up the above mentioned activities.
The Placement activities of the Department are taken care by a Placement Cell which comprises of a student member and a faculty advisor. The placement cell organizes campus recruitment programs every year and takes pride in facilitating placement for eligible students in Multinational Companies and other companies in the private sector. Many MNC are conducting the campus placement/recruitments in the department in the core areas of statistics and general recruitments along with other departments. Our students are excelling their careers on Five broad spectrum of TRACS
  • Teaching & Learning
  • Research & Higher Education
  • Administrative Placements & Self Employment
  • Consulting & Data Practicing
  • Statistical Software Training & Skill Development Department is also providing co curriculum activities for the overall development of students by undertaking the necessary programs with different faculty coordinators.
Carers After completion of this programme, students will be capable of taking positions with financial institutions like investment banking, up wealth management companies, securities trading and government regulatory organizations like Reserve Bank of India, Securities and Exchange Board of India, Insurance Regulatory and Development Authority. Careers include financial engineers Financial Analysts and a range of positions requiring advanced understanding of quantitative finance like financial model building.   Placements Placement activity is provided for studens in Multinational companies, public and private sectors. The following companies visit the campus regularly.   Our recruiters Ernst & Young, JP Morgan, Institute of Economic Growth, S & P Global, Axis bank, HDFC Bank, SPI Globa, BNP Paribas, Aditya Birla Housing Finance, Max Life Insurance, Suryodaya Bank, Anvil Share and Stock Broking, PKC Consultancy, Shri Ram Finance. Learny Technologies.