The Department of Statistics is one of the first two departments initiated alongside Mathematics by the Central University of Rajasthan, just after its establishment in the year 2009. The primary objective of the department is to provide quality education and promote theoretical, computational, and applied knowledge in the field of Statistics. This empowers students to pursue careers in academia, government sectors, private sectors, NGOs, etc. The department is actively involved in teaching and research, addressing significant issues in various areas such as Actuarial Science, Bayesian Statistics, Distribution Theory, Extreme Value Theory, Inference, Sampling Theory, Statistical Quality Control, Survival Analysis, Time Series Analysis, Big Data, Operations Research, and Non-Parametric Inference, among others. Moreover, the department provides excellent employment opportunities for its alumni, including positions in government organizations such as ISS, UPSC, RBI, RPSC, UPSSSC, and prestigious private organizations like SWISS Re, Edgewise Tokyo, KPMG, Sri Ram Finance, WNS Consultancy, The Rain Man Consultancy, Max Life Insurance, AON Hewitt Actuarial Consultancy, Nelson Private Ltd., etc. The faculty members actively engage in executing research projects in collaboration with organizations like UGC, CSIR, and MOSPI, among others.

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Welcome to Department of Statistics

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M. Sc./M. A. Statistics

Programme Objective:

The main objective of M.Sc. in Statistics Programme is to enhance the theoretical, practical skills and concepts that students have been introduced to some extent at their undergraduate learning of Statistics. We teach higher level theoretical aspects and practicals as well which help them to formulate statistical problems and analyze them by using appropriate statistical methods and Statistical computing software. The course content and classroom teaching and evaluation system emphasize the applications of Statistics in different disciplines including Actuarial Science, Social Science by which they will have better job opportunities and as well they are well prepared for competitive examinations.

 

Learning outcome of this program,

After the completion of Integrated M.Sc. programme, students will:

  • Learn advanced level basic concepts and statistical inference used in decision making which help them in their higher studies and solve involved decision-making problems.
  • Learn the art of gathering information by sampling and designing experiments and analyzing it
  • Be able to assist researchers for drawing inferences using their experimental outcomes
  • Be able to develop and validate models on the basis of collected data.

 

Eligibility:

An undergraduate student having B.Sc./B.A. in Statistics/Mathematics with 

  1. Statistics as a subject for a minimum of two years in annual system  or
  2. have a minimum of 4 papers from core Statistics as prescribed in the model curriculum of UGC in the semester system

and should have a minimum of 50% marks in the graduation, provided that the candidate has 45% or equivalent grade for SC/ST/OBC/PWD candidates.

Integrated M. Sc. Statistics

Programme Objective:

The main objective of Integrated M.Sc. in Statistics programme in CURaj is to facilitate higher secondary passed students to learn, practice and make career in the art of information analysis for the purpose of decision making on concerned problems. Analysis can be done by using well accepted principle and scientific methods developed in Statistics. As these students have chosen the statistics at an early stage of their learning, they have an opportunity of better understanding fundamentals of statistics and equip themselves to work as a professional statistician. Training in statistical computing will enhance their job opportunities and professional skills.

 

Learning outcome of this Programme:

After the completion of Integrated M.Sc. programme, students will:

  • Learn the art of representing and dealing with a random phenomenon
  • Learn basic principles and statistical concepts used in decision making
  • Learn the art of gathering information by sampling and designing experiments and analyzing it
  • Be able to assist researchers for drawing inferences using their experimental outcomes
  • Be able to develop and validate models on the basis of collected data

 

Eligibility

10 + 2 in Science Stream or equivalent of any recognized board in India with Mathematics as one of the optional subjects having 50% marks or equivalent grade in aggregate for general category and 45% or equivalent grade for SC/ST/OBC/PWD candidates.

Doctor of Philosophy

The Ph.D. Programme is the research programme in the respective subject, as such students have to be well acquainted with various research methodologies including the current state of art of development in the concerned subject. In view of it, Ph.D. programme offered by the department of Statistics offers research methodology and recent trends in statistics as compulsory subjects.

 

Objective: The main objective of to make students aware of various methods of research in statistics and use them in their specific research topic.

 

Learning Outcomes.:

Upon getting acquainted with the various research method and recent trends/development in the statistics, students will be well equipped to make substantial research contribution to the topic of their specialization.

 

Eligibility:

A consistently good academic record possessing a Master's Degree in Statistics (M. Sc./M.A. in Statistics/Applied Statistics/Bio-Statistics/Statistics and informatics/Statistical computing) with minimum of 55% marks or equivalent grade from a recognized University at both undergraduate and postgraduate level; 5% relaxation in minimum requirement of marks is granted to SC/ST/OBC/PWD candidates.

Phd Students

Completed

S.No. Student Name  Award Year Thesis Title Currently working
1 Dr. Savitri Joshi 2017 Inference for Change Points and Related Problems under Censoring Assistant Professor, IIIT Allahabad
2 Dr. Varun Agiwal 2019 Analysis of Structural Berak(s) in Time Series Model: A Bayesian Perspective Senior Lecturer (Biostatistics), Indian Institute of Public Health, Hyderabad.
3 Dr. Priyanka Chhaparwal 2019 Robust Modified Estimators of Population Parameter(s) using Auxiliary Information under Non-Normality Assistant Professor, University of Engineering & Management, Jaipur.
4 Dr. Saurabh Kumar 2020 A Study of Large Size Time Series in Reference to Big Data and Outlier Assistant Professor, Central University of Rajasthan, Ajmer.
5 Dr.Nirmal Tiwari 2020 Estimation of Population Mode using Auxiliary Information Additional Statistical Officer, State Tax Department, Govt. of Uttar Pradesh, Lucknow.
6 Dr. Ashok Kumar 2020 Time Series Model with Covariate: A Bayesian Approach Assistant Professor, MIT ADT University, Pune.
7 Dr. Sumit Kumar 2020 Some Problems on Process Capability Studies: Statistical Inference and Applications Assistant Professor, Delhi University, Delhi.
8 Dr. Harsh Tripathi 2021 Some Problems on Sampling Inspection Plan: Statistical Inference and Applications Assistant  Professor,  Symbiosis International University, Pune.
9 Dr. Shivanshu Kumar 2021 Estimation of Popumation Paarameter(s) Using Auxillary Information through Order Statistics Assistant Director of Census Operations (Technical), Directorate of Census Operations,  India.
10 Dr. Shikhar Tyagi 2022 Some Contributions to Fraility Models for Survival Data Assistant Professor, Christ University, Bangalore .
11 Dr. Shivanshi Shukala 2022 Statistical Inference of Lifetime Characteristics for Asymmetric Distribution Indian Statistical Services (ISS), India.
12 Dr. Umme Afifa 2023 Bayesian Aanlysis  of Vector Autoregressive Time Series Model Assistant professor of Biostatistics, Teerthanker Mahaveer Medical College & Research Centre, Moradabad, Uttar Pradesh.
13 Dr. Mohammed Abdel 2023 Bivariate Distribution: Copula, Properties and  Estimation  
14 Dr. Pawan Kumar Singh 2024 Some New Probability Distributions: Statistical Inference and Applications Assistant Professor, Department of Community Medicine Government Medical College, Mahasamund, Chhattisgarh
15 Ds. Anju Devi 2024 Study on Some Problems of Statistical Process Control Assistant Professor (Ad hoc Faculty),Maa Shakumbhari University, Saharanpur.
16 Dr. Mohd Mudassir 2024 Statistical Modeling of Merger and Acquisition (M&As) in Time Series Framework Assistant Professor, CSE, Meerut Institute of Engineering &Technology, Meerut.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Submitted

S.No. Student Name Enrollment Number Thesis Title
1 Mr. Akhilesh Yadav 2019PHDSTA002 Improved type estimators of population mode under different types of sampling designs
2 Mr. Girish Ramchandra Aradhya 2020PHDSTA003 Contributions in the Generation of Probability Models with an Application to Insurance Datasets

 

 

 

Pursuing

S.No. Name of Scholar Enrollment Number Title of the proposed Ph.D. work
1 Ms. Aditi Kumari 2019PHDSTA001 Contributions to Goodness-of-Fit Tests of One-sided Lévy Distributions: Based on the Characterisations and Asymptotic Properties of Estimators
2 Ms. Annu Chauhan 2019PHDSTA004 A New Frailty Model Statistical Inference and Applications
3 Mr. Anuj Nain 2019PHDSTA005 Synergies in Time Series Models: Applications of Mixture Distributions
4 Mr. Bhagchand Meena 2019PHDSTA006 Time Series Modelling with Outlier under Bayesian Framework
5 Mr. Ravindra Pratp Singh 2019PHDSTA009 Contribution to the lifetime distributions
6 Mr. Abhishek Kumar Jilowa 2020PHDSTA002 Study of Virtual Currencies: A Time Series Aspect
7 Ms. Akanksha Jakhar 2021PHDSTA001 Estimation of Population Mean for Time Based Surveys Under Non-normality
8 Ms. Pratibha Pareek 2021PHDSTA002 Study on Some Problems of Statistical Quality Control
9 Mr. Aalish Nadeem Hashmi 2022PHDSTA001 Game Theory: Evolution and Rival in Consumption
10 Ms. Pragya Gupta 2022PHDSTA004 Using Frailty models in Control Charts
11 Ms. Sakshi Khandelwal 2022PHDSTA005 Characterization-Driven Goodness-of-Fit Tests for Censored and Uncensored Data

 

Regular

Prof. Arvind Pandey

Professor

M. Sc. (Statistics,), JRF- CSIR( Mathematical Sciences-2004), NET- CSIR (Mathematical Sciences-2002), GATE( Engineering Sciences-2001, All India Rank 97 ), Ph.D (Modeling Frailty for Bivariate Survival Data)

arvindpandey@curaj.ac.in

7727916698

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Dr. Deepesh Bhati

Associate Professor and Head

GATE, CSIR-NET, M.Tech. (FSP), Ph.D. (University of Mysore)

deepesh.bhati@curaj.ac.in

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Prof. Jitendra Kumar

Professor

M. Sc. (Statistics), D. Phil.

jitendravkarma@curaj.ac.in

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Dr. K. SATISHKUMAR

Assistant Professor

Ph.D.(Statistics, ANU), M.Sc.(Statistics-OR, UoH)

satish.kumar@curaj.ac.in

91

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Dr. Mahesh Barale

Assistant Professor

Ph.D. (Statistics), SET, M.Sc., B.Sc.

mahesh.barale@curaj.ac.in

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Dr. Sanjay Kumar

Assistant Professor

Ph.D. (Statistics, B.H.U), NET (JRF), P.G. (Statistics, B.H.U), U.G. (Statistics, B.H.U)

sanjay.kumar@curaj.ac.in

7597279362

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Dr. Saurabh Kumar

Assistant Professor

Ph.D. (Statistics), NET, M.Sc., B.Sc. (Hons)

saurabh.kumar@curaj.ac.in

8210597015

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Arranged alphabetically
  • The department has two computer lab one for PG students of capacity 30 and other for UG students for capacity 17.
  • The Central University has access to a large number of journals through Inflibnet (E-Shodhsindhu Consortium), and a collection of a large number of books

Completed

Principal Investigator: Dr. Jitendra Kumar

Title: Bayesian Analysis of Multivariate Time Series Model

Grant Received:  Rs.11.60 Lacs

Granting Agency: UGC

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Principal Investigator: Dr. Jitendra Kumar

Title:  Analysis of Time series with Outlier and Management of Extreme Value: A Bayesian Approach

Grant Received:   Rs. 2.00 Lacs

Granting Agency: CSIR

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Principal Investigator:  Dr. Mahendra Saha

Title:   Generalized Lifetime Performance Index: Statistical Inference and Applications

Grant Received: Rs. 6.00 Lacs

Granting Agency: UGC

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Ongoing

Principal Investigator:  Dr. Arvind Pandey

Title:   Modeling Frailty for Survival Data

Grant Sanctioned: Rs. 10.00 Lacs

Granting Agency: DST

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Principal Investigator:  Dr. Arvind Pandey

Title:   Modeling Frailty for Bivariate Survival Data Based on Reversed Hazard Rate

Grant Sanctioned:  Rs. 10.00 Lacs

Granting Agency: UGC

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Achievement Title Attached File

Placements

The Department of Statistics not only provides placement assistance to the students in the relevant organization but it also helps the students in their career planning, preparation for selection tests, summer placement/internship and final placements. The Placement Cell of University is working on liaisoning with the senior executives of reputed organizations for the overall development of effective communication links with many prominent industrial and professional organizations. The placement cell is making all the efforts to match the student's career aspirations with the requirements of the organizations. Keeping in view the demand and priorities of the various industries, the cell is also looking for the development of the students. Following are few Multi-National Companies and Government Agencies where the students are places: 

 

StatAct Club

The department organizes activities for enhancing the basic concepts of the subject. The activities involve STATQUIZ and STATFORUM.
Under STATQUIZ, a weekly Brain Enhancement Quiz is conducted for the students. The quiz comprises of questions relevant to reasoning, mathematics, and statistics.

Another activity held by the department is STATFORUM. The forum emphasizes discussions relevant to Statistical methodologies and its interface with Economics and Finance. The discussions are held among the students and are concluded by the comments made by the faculty members.
In accordance with the celebration of “World Statistics Day”, a university level quiz competition is organized every year. The quiz is conducted in several groups according to the respective schools. The main aim of the quiz is to make the students aware of the importance of statistics in their respective subjects. The winners of the quiz are awarded books on statistical applications in the relevant fields.

 

INVITED SPEAKERS

  • Prof. S.P.Mukherjee (University of Calcutta)  
  • Prof. M. Shreehari (M.S. University, Vadodara)
  • Prof. Suresh Chandra (Madras School of Economics)
  • Prof. B.L.S. Prakasa Rao (University of Hyderabad)
  • Prof. D.V.S. Sastry (Former Director General, Research, IRDA)  
  • Prof. R. Vasudeva (University of Mysore)
  • Prof. Tathagatha Bandyopadhya (IIA Ahmedabad)
  • Prof. Arup Bose, ISI Kolkata
  • Prof. Sushama Bendre ( ISI Chennai)
  • Mr. Liyaquat Khan (Former President, Institute of Actuaries  of India )  
  • Prof. Frank Ashe (Macquarie University, Sydney Australia )  
  • Prof. Michael Sherris (New South Wales University, Australia)
  • Prof. S.R. Deshmukh (University of Pune)
  • Prof. David Hanagal (SPPU, Pune)
  • Prof. J.V. Jahanvi (Bangalore University)
  • Prof. Maniklal Adhikari (Burdwan University)
  • Prof. D.T. Shirke (Shivaji Unviersity, Kolhapur)
  • Prof. S. K. Upadhyay (Banaras Hindu University)
  • Prof. S. Ravi (University of Mysore )
  • Prof. Madhu Chhanda (University of Hyderabad)
  • Prof. K. Muralidharan (M.S. University Vadodhara)
  • Prof. T.V.Ramanathan (SPPU, Pune)
  • Prof. R.L. Shinde (North Maharashtra University)
  • Prof. Athar Ali Khan (Aligarh Muslim University)
  • Prof. Gyan Prakash Singh (BHU)
  • Prof. Kanchan K. Jain (Panjab University)
  • Prof. Narindrer Kumar ( Panjab University)
  • Dr. Sayaji Hande(Consultant, New Delhi)
  • Dr. Sudheesh K.K. (ISI Chennai)
  • Mr. A. K. Yogi (Former Additional Director  NSSO)
  • Prof. Y. P. Shabharwal (Appointed Actuary, Oriental Insurance)

and many more.....

  

Department of Statistics

CENTRAL UNIVERSITY OF RAJASTHAN
NH-8, Bandar Sindri,
Dist-Ajmer-305817, Rajasthan [INDIA]
: hod.stats@curaj.ac.in
: +91-1463-238755