SPOT ADMISSION is going for B.Sc. - Maths, Statistics, Physics, B.A. - Tamil, and M.Sc. - Maths, Physics.

Department Of Statistics

The increasing demand for more and better statistics has brought to the front position the importance of statistics as a strategic resource for national and international development. Statistics are now recognized internationally as a part of enabling environment for the development. Statistical methods are applied to enormous numerical facts with an objective that “behind every data there is a story”. Statistics are needed by organizations other than government.According the World Bank, good quality statistical data are needed to manage results to make evidence – based decisions about allocation and management of scarce resources. Because of this increased utilization in other fields, and more job opportunities the student community started choosing statistics as the course of study. Keeping this in mind, the management of the Madura College has started M.Sc. Statistics in aided steam from the academic year 2019 – 2020, and thereby became the first college to provide M.Sc. Statistics affiliated to Madurai Kamaraj University under aided stream.

VISION

Vision of the Statistics department is to develop student’s ability to think analytically, speculatively and imaginatively and to encourage them to pursue higher education for the purpose of continuous curriculum innovations.

MISSION

  • To help students develop their intellect and faith.
  • To provide excellent training in scientific data collections, data management, methods and procedure of data analysis.
  • To facilitate students to see themselves as professional, as part of a discipline with skills and abilities valuable in business, teaching and publishing.

OBJECTIVES

Statistics is a branch of applied research which is concerned with the development and application methods for collecting, organizing presenting, analysing and interpreting quantitative data in such a way that the reliability of conclusion based on data may be evaluated in terms of probability statements. The main objectives of the department of statistics is to equip students

  • to present the facts in definite form
  • to make a comparison between theory and actual
  • to have guidance’s in formulating suitable policies
  • to ascertain advance predictions
  • to test the hypothesis and develop new theories

History / Timeline

Year Milestone
2019 M.Sc. Statistics

Highlights of the curriculum

The M.Sc Statistics curriculum is designed to prepare the students for productive career after two years of post-graduation. The curriculum is designed in such a way that students will gain knowledge in both theoretical and applied areas of statistics and also to have practical training on the applications of statistical methods for carrying out data analysis using statistical software and programming languages like SPSS, MS-Excel, R, Python, C and C++ etc., Students will become effective collaborators and innovators, participate to address social, technical and business challenges and also equip to face the challenges at the national and state level competitive examinations.

Skills Imparted

The department graduate will have

  • Deep knowledge of statistics in diverse applications.
  • Strong mathematics abilities
  • Wide-ranging computer skills
  • Ability to communicate findings to non-statisticians
  • Analytical and problem-solving skills
  • Industry knowledge
  • Teamwork and collaborative skills

Carrier opportunities

Government sector:
  • Indian Statistical Service
  • Assistant Statistical officer
  • Statistical Investigator
  • Field officers / investigator in national sample survey organizations
  • Government Banking / Insurance sector
  • Teaching in Schools and Colleges
  • Researchers
Private Sector:
  • Senior or Junior Statistician
  • Data Scientist / Analyst
  • Biostatistician
  • Subject matter expert
  • Financial / Business Analyst
  • Actuarial Analyst

Salient features

  • First of this kind in Madurai district to provide master in Statistics under aided stream in renowned 130 years old institution.
  • Qualified and experience team of faculty members with wider experience in area of both theoretical and applied statistics.
  • Projects and In-plant trainings to impart practical knowledge to the students.
  • Teaching aids like LCD Projectors and modern E-learning software’s are used with the view to enhance the Teaching-Learning process.
  • Well – Equipped computer lab with updated and current software’s.
PSO For B.Sc. Statistics

Programme Educational Objectives (PEOs)

After successful completion of the programme the graduate will

PEO1 Assess the existing knowledge, concepts, techniques, and methodology appropriate to their discipline
PEO2 Acquire thorough knowledge on pure, applied and advanced area of Statistics.
PEO3 Apply discipline-based and/or cross-discipline-based knowledge to design a problem solving strategy.
PEO4 Posses positive attitude, skills which will enable them to become a multifaced personality in their field.
PEO5 Have enhances logical reasoning skills, arithmetic skills, aptitude skills,self-confidence for better employability.
PEO6 Be aware of issues of social relevance and articulate a statistical solutions to those issues.

Programme Specific Outcomes (PSOs)

PROGRAM SPECIFIC OUTCOMES Graduate Attributes
PSO1 Calculate the statistics necessary to solve problems (both manually and via computer), including descriptive statistics, statistical significance tests and confidence interval
  • Knowledge in core Competency
  • Problem Analysis
  • Design and development of solution for complex problems
  • Conduct investigation of solution for complex problems
  • Modern tool usage
PSO2 Communicate the meaning of statistical analysis in everyday language and project format.
  • Problem Analysis
  • Design and development of solution for complex problems
  • Modern tool usage
  • Ethics
  • Individual and team work
PSO3 Evaluate probabilities for real-life situations and analyze discrete and continuous probability distributions andtheir applications.
  • Knowledge in core Competency
  • Problem Analysis
  • Design and development of solution for complex problems
  • Ethics
  • Life-long learning
PSO4 Organize a sample survey and estimate the characteristics of the population and construct a hypothesis and test it using parametric and non-parametric tools.
  • Conduct investigation of solution for complex problems
  • Modern tool usage
  • Ethics
  • Life-long learning
PSO5 Understanding of the fundamental axioms in Mathematics and capability of developing ideas based on them.
  • Knowledge in core Competency
  • Problem Analysis
PSO6 Have a broad background in statistics appreciations of how its various sub disciplines are related, the ability to use techniques from different areas and as in depth knowledge about topics.
  • Knowledge in core Competency
  • Problem Analysis
  • Design and development of solution for complex problems
  • Modern tool usage
PSO7 Take up a career as a statistician in the government sector, quality control analyst, agricultural studies, a data analyst and other positions.
  • Knowledge in core Competency
  • Design and development of solution for complex problems
  • Modern tool usage
  • Ethics
  • Life-long learning
PSO8 Apply ethical principles and commit to legal professional ethics, responsibilities, good practices and norms established.
  • Ethics

Faculty (Aided Stream)

AIDED FACULTIES
Name Designation Date of Join Area of Specialization Profile
Dr.P.Vetri Selvi Assistant Professor 17.07.2019 Spatial Analysis Profile Vidwan Profile
Dr.R.Madhanagopal Assistant Professor 19.07.2019 Applied Statistics ProfileGoogle Scholar Link
Dr.M.Venkateswaran Assistant Professor 01.02.2021 Stochastic Modeling, Queuing theory Profile Vidwan Profile Google Scholar Link
Dr.A.Saberunnisa Assistant Professor 01.02.2021 Bio-Statistics Profile Vidwan Profile
Dr.M.Rabert Assistant Professor 19.02.2021 Statistics, Stochastic Modeling, Sampling Techniques Profile

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2021 OBE
S.NO COURSE TITLE COURSE CODE MAJOR / ANCILLARY / ELECTIVE / SBE / NME / PRACTICAL SYLLABUS
SEMESTER I
121P1SMC1 REAL ANALYSIS AND LINEAR ALGEBRA MajorCore – 1 View Syllabus
221P1SMC2 DISTRIBUTION THEORY Major Core – 2 View Syllabus
321P1SMC3 OPERATION THEORY Major Core – 3 View Syllabus
421P1SME1(A) ACTUARIAL STATISTICS C Elective –2 (A) View Syllabus
521P1SME1(B) DATA MINING C Elective –2(B) View Syllabus
621P1SNM1 INTRODUCTION TO NON- PARAMETRIC STATISTICS NME –I View Syllabus
721P1SMP1 STATISTICAL PRACTICAL- I Practical –1 View Syllabus
821P1SMP2 STATISTICAL DATA ANALYSIS WITH MS-EXCEL Practical -2 View Syllabus
SEMESTER II
1 21P2SMC4 MEASURE AND PROBABILITY THEORY MajorCore – 4 View Syllabus
2 21P2SMC5 STATISTICAL ESTIMATION THEORY MajorCore – 5 View Syllabus
3 21P2SMC6 SAMPLING TECHNIQUES MajorCore – 6 View Syllabus
4 21P2SME2(A) RELIABILITY THEORY AND SURVIVAL ANALYSIS C Elective –I View Syllabus
5 21P2SME2 (B)TIME SERIES ANALYSIS C Elective –II View Syllabus
6 21P2SNM2 INDUSTRIAL STATISTICS NME –2 View Syllabus
7 21P2SMP3 STATISTICAL PRACTICAL -II (CALCULATED BASED)PRACTICAL 3 View Syllabus
8 21P2SMP4 STATISTICAL DATA ANALYSIS USING SPSS PRACTICAL 4 View Syllabus
9 STATISTICS FOR CLINICAL TRIALS CERTIFICATE COURSEView Syllabus
10 CLUSTER ANALYSIS WITH R CERTIFICATE COURSEView Syllabus

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S.NO TITLE OF THE ACTIVITY DATE (S) BENEFICIARIES
1 International Conference (Virtual Mode) On Emerging Trends In Statistics And Data Science In Conjunction With 40th Annual Convention Of Indian Society For Probability & Statistics (ISPS) 07.09.2021 to 10.09.2021PG Students / Research Scholars / Faculty
2 Two Days Webinar On Awareness Of Statistical Softwares (R, Python, Sas, Spss) In Conjunction With The Annual Competitons Of Indian Society For Probability & Statistics (ISPS) 13.03.2021 & 14.03.2021PG Students / Research Scholars / Faculty
3 Guest Lecture On “Employability Opportunity For Science Graduates”10.03.2021 UG and PG Students of the Department of Mathematics and Statistics
4 Online Guest Lecture Programme “ Generalized Inverses Of Matrices” 06.03.2021 UG and PG Students of the Department of Mathematics and Statistics
5Webinar On “Stochastic Modeling In Real Time Applications”04.03.2021PG Students of the Department of Mathematics and Statistics
6Online Guest Lecture On “ Career Enhancement “04.03.2021 PG Students of the Department of Mathematics and Statistics
S.No Name of the student Company / Organization where placed Designation Date of Appointment
1 T SreeSubarna Government of India, Ministry of Statistics and Programme Implementation, National Statistical Office (FOD) Survey Enumerator 2021
2 G Keerthana Government of India, Ministry of Statistics and Programme Implementation, National Statistical Office (FOD) Survey Enumerator 2021
3 S. Tamil Prabha The Southern Indian Bank Probationary Clerk 2021
4 S. Bhuvaneswari Vadamalayan Hospital P Ltd Statistician 2021