New Revised Syllabus for Batch 2080 and onwards

The M. Sc. / M. A. Statistics program is an academic course covering both theoretical and applied areas of Statistics. It is divided into four semesters (six months per semester) with a total duration of 2 years and annual intake system. The program contains 13 core courses, 4 optional courses, 3 computing (practical) courses, dissertation and three additional courses as an alternative option for dissertation. The distribution of courses in different semesters is shown in the structure below.

SN Subject Code Credit Marks
 First Semester
1 Mathematics for Statistics STA 511 3 75
2 Probability STA 512 3 75
3 Statistical Inference STA 513 3 75
4 Mathematical Demography STA 514 3 75
5 Sampling Theory STA 515 3 75
6 R Programming Language STA 516 2 50
7 Statistical Computing-I STA 517 4 100
 Total 21 525
 Second Semester
8 Multivariate Analysis STA 521 3 75
9 Stochastic Processes STA 522 3 75
10 Statistical Simulation STA 523 3 75
11 Python Programming STA 524 2 50
12 Optional Paper (Any Two)

 3×2 = 6

 150

i Econometrics STA 525
ii Quality Control and Reliability STA 526
iii Operations Research STA 527
iv Nonparametric Statistics STA 528
13 Statistical Computing-II STA 529 4 100
 Total 21 525
 Third Semester
14 Bayesian Inference STA 631 3 75
15 Research Methodology STA 632 3 75
16 Design of Experiments STA 633 3 75
17 Optional Paper (Any Two)

 3×2 = 6

 150

i Biostatistics STA 634
ii Environmetrics STA 635
iii Time Series Analysis STA 636
iv Actuarial Statistics STA 637
v Survival Analysis STA 638
18 Statistical Computing-III STA 639 4 100
Total 19 475
 Fourth Semester
Any one between Dissertation and three Alternative papers
19 Dissertation STA 641 6 150
20 Alternative Papers (2 credit each, Any Three)
i Meta-analysis STA 642

 2×3 = 6

 150

ii Nonparametric Modeling STA 643
iii Population and Financial Statistics STA 644
iv Geographical Information System STA 645
v Machine Learning STA 646
Total 6 150
Grand Total 67 1675

Syllabus (Downloadable PDF file)

Old Syllabus for Batch up to 2079

The M. Sc. / M. A. Statistics program is an academic course covering both theoretical and applied areas of Statistics. It is divided into four semesters (six months per semester) with a total duration of 2 years and annual intake system. The program contains 11 core courses, 5 optional courses, 3 computing (practical) courses, dissertation and two additional courses as an alternative option for dissertation. The department also provides non-credit training courses on statistical software such as MS Excel, SPSS, and STATA (Subject to change upon necessity). The distribution of courses in different semesters is shown in the structure below.

SN Semester Code Subject Credit Marks
1 I STA511 Mathematics for Statistics 3 75
2 STA512 Probability 3 75
3 STA513 Statistical Inference 3 75
4 STA514 Multivariate Analysis 3 75
5 STA515 Stochastic Processes 3 75
6 STA516 Programming Language 3 75
7 STA517 Statistical Computing-I (Practical) 4 100
                                               Total 22 550
8 II STA521 Mathematical Demography 3 75
9 STA522 Sampling Theory 3 75
10 STA523 Design of Experiments 3 75
Optional Paper (Any Two)
11 STA524 Econometrics 3 X 2

= 6

150
12 STA525 Quality Control and Reliability
13 STA526 Nonparametric Statistics
14 STA527 Population Statistics
15 STA528 Statistical Computing-II (Practical) 4 100
                                               Total 19 475
16 III STA631 Bayesian Inference 3 75
17 STA632 Research Methodology 3 75
Optional Paper (Any Three)
18 STA633 Biostatistics 3 X 3

= 9

225
19 STA634 Environmetrics
20 STA635 Time Series Analysis
21 STA636 Operations Research
22 STA637 Survival Analysis
23 STA638 Actuarial Statistics
24 STA639 Statistical Computing-III (Practical) 4 100
Total 19 475
IV Any One between

Dissertation and Two Alternative Papers

25 STA641    Dissertation 4 100
Alternative Papers (2 Credits each)
26 STA642 Meta Analysis 2
27 STA643 Nonparametric and Categorical Data Modeling 2
Total 4 100
Grand Total 64 1600

Syllabus (Downloadable PDF file)

List of currently admitted students

First Semester

SN Entrance Roll No. Name
1 8029001 AKASH GAUTAM
2 8029002 ANIL GHIMIRE
3 8029003 ASHA KUNWAR
4 8029004 BHABISWOR GAIRE
5 8029006 INDRA KUMARI ROKAYA CHHETRI
6 8029007 JAYANTI PAUDEL
7 8029008 JITENDRA BHANDARI
8 8029009 NISHAN NEPAL
9 8029010 PRAKASH CHAUDHARY
10 8029011 PRAMOD CHAUDHARY
11 8029013 SARMILA BASNET
12 8029014 SUBAS GELAL
13 8029015 SUMITRA NEPAL
14 8029017 YUBRAJ BUDHA
15 8029019 DHIRENDRA BAHADUR THAPA
16 8029022 DEEPJYOTI KHANAL
17 8029024 JEEVAN BISTA

Second Semester

SN Roll No Name of Students
1 7929001 ADARSHA POKHREL
2 7929002 AKASH JHA
3 7929003 ANIL KUMAR SHRESTHA
4 7929004 ANUP CHAUDHARY
5 7929005 ASHOK POKHREL
6 7929006 ASWIN ADHIKARI
7 7929007 BARSHA SHARMA
8 7929008 BHOLA PASWAN
9 7929009 BIBEK BASNET
10 7929010 BIJAY GHISING
11 7929011 BIKAS BHANDARI
12 7929013 BISHNU GYAWALI
13 7929014 DEVENDRA AACHARYA
14 7929015 DIPESH KUMAR YADAV
15 7929016 DIWAS RAI
16 7929017 HEMRAJ CHAPAGAIN
17 7929018 ISHWOR POUDEL
18 7929019 ISMITA GURAGAIN
19 7929020 KIRAN THARU
20 7929021 KOPILA PANDEY
21 7929022 KRISHNA RAM LAMICHHANE
22 7929023 MADHU SHUDHEN NEUPANE
23 7929024 MAMATA POUDEL
24 7929025 NAVIN KUMAR YADAV
25 7929026 NEHA RAI
26 7929027 NIRMAL BOHARA
27 7929028 PRABIN PARAJULI
28 7929029 PRADIP CHAUDHARY
29 7929030 PRAKASH RIJAL
30 7929031 RABI SAPKOTA
31 7929032 SABRINA SHAHI
32 7929033 SAJJAN BOGATI
33 7929034 SARU PARIYAR

Central Department of Statistics started to produce Ph. D. in Statistics from the year 2005 under the supervision of Prof. Mrigendra Lal Singh. Since then the department has produced Ph. D.s in Statistics regularly for the span of around 20 years with the output of 14 Ph. D. Statistics holders. Diverse areas of Statistics have been covered in Ph. D. researches such as demographic and related areas, environmental health and climate change, agricultural statistics, Bayesian inference, tourism statistics, and many more with substantial contributions to Statistics through statistical models and analysis methods, techniques and tools. At present, altogether 9 scholars are undertaking their Ph. D. research works.

Ongoing Ph.D. (Statistics)

SN Name Year of enrollment Supervisor / Co-supervisor
1 Mr. Kishor Khanal 2018 Prof. Dr. Shankar Prasad Khanal
2 Mr. Rajendra Prasad Upadhayaya 2018 Prof. Dr. Vikash Kumar K.C.
3 Mr. Madhab Baral 2018 Prof. Dr. Vikash Kumar K.C.
4 Mr. Ishwari Prasad Banjade 2018 Prof. Dr. Srijan Lal Shrestha
5 Mr. Madhav Kumar Bhusal 2020 Prof. Dr. Shankar Prasad Khanal
6 Mr. Ishwar Kumar Shrestha 2020 Prof. Dr. Shankar Prasad Khanal
7 Mr. Yogesh Man Shrestha 2020 Prof. Dr. Ramesh Kumar Joshi
8 Mr. Surendra Raj Nepal 2021 Prof. Dr. Srijan Lal Shrestha
9 Mr. Santosh Kumar Shah 2022 Prof. Dr. Srijan Lal Shrestha
10 Mr. Eak Raj Kadariya 2022 Prof. Dr. Ram Prasad Khatiwada