Years | year 1 | year 2 | ||
---|---|---|---|---|
Total Year Wise fees | ₹13,050 | ₹13,050 | ||
Semester | 1 | 2 | 3 | 4 |
Tuition fees | ₹2500 | ₹2500 | ₹2500 | ₹2500 |
Exam fees | ₹800 | ₹800 | ₹800 | ₹800 |
Other fees | ₹3225 | ₹3225 | ₹3225 | ₹3225 |
Events | Dates |
---|---|
CUET- PG Registration Timeline | Tentative Dec 26, 2024 - Feb 10, 2025 |
CUET- PG Admit Card Date | Tentative Mar 07, 2025 |
CUET- PG Exam Date | Tentative Mar 11, 2025 - Mar 28, 2025 |
CUET-PG results | Tentative Apr 13, 2025 |
Events | Dates |
---|---|
Spot Round Admission (PG Courses) | Aug 13, 2024 |
Application Timeline (Through CUET PG) - Reopened | Jun 27, 2024 - Jul 10, 2024 |
Events | Dates |
---|---|
CUET- PG Registration Timeline | Tentative Dec 26, 2024 - Feb 10, 2025 |
CUET- PG Admit Card Date | Tentative Mar 07, 2025 |
CUET- PG Exam Date | Tentative Mar 11, 2025 - Mar 28, 2025 |
CUET-PG results | Tentative Apr 13, 2025 |
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The 2024 CUET PG round 1 cutoff marks for the Master of Science [M.Sc] (Statistics) at Central University of Rajasthan was 127 for the General category.
Round | Cutoff |
---|---|
Round 1 | 127 |
Round 2 | 118 |
Round 3 | 105 |
Round 5 | 102 |
The 2021 CUET round 2 cutoff marks for the Master of Science [M.Sc] (Statistics) at Central University of Rajasthan was 166 for the General category.
Round | Cutoff |
---|---|
Round 2 | 166 |
Round 3 | 156 |
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Aspirants seeking admission to the program must fulfill the following criteria:
Academic Requirement:
An undergraduate student having B.Sc./B.A. in Statistics/Mathematics with
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In 1st semester 5 major course 1) Measure and Probability Theory, 2) Distribution and decision thoery 3) Sampling theory and Methods 4) Real Analysis 5) Research methedology with programming skills (R language) as well as one self learning programe In 2nd semester 3 major course 1) Theory of Estimation and Testing of Hypothesis 2) Regression analysis 3) Stochastic Process with programming skills (Python) and two elective papers as well as one self learning programe In 3rd semester 3 major Paper 1) Time series and forecasting 2) Advances and applied Multivariate 3) Planning and analysis of Industrial experiments with 3 elective paper as well as self learning and in 4th (last) semester 1 Major project. with all faculty member is good except 2 faculty member.
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