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M. Sc. Statistics

Program Outline

M.Sc. Statistics is a two-year postgraduate program which is being divided into four semesters. In the M.Sc. Statistics program includes core courses covering advanced probability theory, statistical inference, linear models, multivariate analysis, time series analysis, and statistical computing.

Elective courses offers two Specializations as 1) M.Sc. Statistics (Specialization in Data Science) 2) M.Sc. Statistics (Specialization in Industrial Statistics) Students complete a research project, on job training and engage in professional development activities to prepare for careers in academia, industry, or government. The program equips students with advanced knowledge and skills in statistical theory, methods, and applications, positioning them for roles as statisticians, data analysts, researchers, and more.

Eligibility

B. Sc. (Hons.) Mathematics/ B. Sc. (Hons.) Statistics or Bachelor of Science with optional Subject is Mathematics or Statistics and Nonzero score in MGMU-CET-2024.

Key Features:

  • Curriculum is aligned with National Education Policy (NEP – 2020).
  • Good balance between theory and applications of concepts of statistics.
  • Industry-driven curriculum with excellent techniques in data analysis. Gain experiences of trained professionals to develop the ability to meet the demands of the Data Processing and Analytics Industry.
  • Elective courses offers two Specializations as 1) M.Sc. Statistics (Specialization in Data Science) 2) M.Sc. Statistics (Specialization in Industrial Statistics)
  • A number of elective courses including practical training on realistic problems, and extensive insight into statistical computations using standard statistical packages. Standard statistical packages, namely, MINITAB, MATLAB, R, MATHEMATICA, SAS, SPSS etc. are used in all practical courses and project work.

    Higher Studies

    He/She can pursue :

  • M.Sc.in Actuarial science, in Library and Information Science, in Quantitative Economics, in Applied Statistics and informatics.
  • MCA, MBA.
  • Masters in Statistics, Masters in Mathematics
  • Central Government :
  • Statistical Investigator : S.S.C For NSSO
  • Research Officer : R.B.I.
  • Research Assistant or Research Officer in:
    1) Indian Council for Agricultural Research (ICAR)
    2) Indian Council of Social Scientific Research
    3) Indian Institute of Tropical Meteorology and Research Institute.
    4) Bureau of Indian Standards (ISI)
    5) International Institute for Population Sciences, Mumbai State-Government
  • State-Government :
  • Statistical Officer, Statistician, D.S.O, D.P.O.: M.P.S.C.
  • Joint Director, Deputy Director. R.O.: Directorate of Economics & Statistics
  • Sr. Statistician & Jr.Statistician:
  • Private Sector :
  • Manufacturing Companies (QC and R & D) Manager, Statistical Analytics, Quality Inspector, Data Analytics (Jr & Sr), Research Assistant. Business Analytics, Statistician (Jr & Sr), Data Analytics, Software Engineer Analytics, SAS Programmer.
  • Pharmaceutical / Bio-Tech : Biostatistician (Jr & Sr), Researcher, SAS Programmer or Programmer , Manager, Director, Statistics Programmer


Dr. Praful Shinde


Dr. Pranaya Diwate



Dr. Ganesh T. Pawar


Dr. Balaji B. Mulik


Dr. Mohammed Khaja Moinuddin Siddiqui



Prof. Karuna Ghodki


Dr. Asha Dagar


Dr. Vidya Suresh Deshmukh



Dr.Nikeshkumar N Ingle


Dr. Suchita Subhashrao Gadekar


Dr. Sankalpa Nitin Navathar


Ms. Kalpana Dnyaneshwar Shinde


Sanket Durgadas Jadhao


Dr. Rutwik Shedge

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WEB DEVELOPMENT LAB

This Laboratory is used by second year as well as third year students for carrying out Practicals related to Web development, Python, Android, JAVA, Database management systems etc.

LABORATORY RESOURCES (EQUIPMENT)

Hardware: Lenovo Gen 7 B250 V250 DT, RAM 8 GB,1 TB HDD (20 Nos.)

Software: Windows 10, Android studio, Eclipse


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SOFTWARE ENGINEERING LAB

This Laboratory is used by second year as well as third year students for carrying out practical related to Big data Computing, Mobile computing, Microprocessor programming, Image processing etc.

LABORATORY RESOURCES (EQUIPMENT)

Hardware: Lenovo Gen 7 B250 V250 DT, RAM 8 GB,1 TB HDD (20 Nos.)

Software: Windows 10, WEKA Tool, R-Tool, Mongo DB, Hadoop, APACHE PIG, HIVE


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DATABASE LAB

This Laboratory is dedicated to the Red hat academy. Students learn different certification courses like RHCSA, RHCE under this academy.

LABORATORY RESOURCES (EQUIPMENT)

Hardware: Lenovo Gen 7 B250 V250 DT, RAM 8 GB,1 TB HDD (20 Nos.)

Software: RHEL 7


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SOFTWARE DEVELOPMENT LAB

This Laboratory is used by third year students for carrying out practicals related to Software Engineering, Computer networks, Enterprise Resource Planning etc.

LABORATORY RESOURCES (EQUIPMENT)

Hardware: Lenovo Gen 7 B250 V250 DT, RAM 8 GB,1 TB HDD (20 Nos.)

Software: Ubuntu 18.04 LTS, Codeblocks.