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2023-2028 CURRICULUM OF MASTER PROGRAM IN STATISTICS
Study Program
Study Program
STATISTICS INTERNATIONAL CLASS (IUP)
BACHELOR PROGRAM OF STATISTICS
BACHELOR PROGRAM OF DATA SCIENCE
MASTER PROGRAM OF STATISTICS
DOCTORAL PROGRAM OF STATISTICS
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2023-2028 Curriculum of Master Program in Statistics
Vision, Mission and Goals
Programme Learning Outcome (PLO)
Curriculum
Module Handbook
Thesis
Dual Degree and Student Mobility
Vision, Mission and Goals
Vision
Mission
Program Educational Objectives
Programme Learning Outcome (PLO)
Programme Learning Outcome (PLO)
PLO-1:
Able to demonstrate attitudes and characters that reflect: being pious to God Almighty, having ethics and integrity, virtuous character, sensitive and concern with social and environmental issues, respecting cultural differences and pluralism, upholding law enforcement, prioritizing the interests of the nation and the wider community, through creativity and innovation, excellence, strong leadership, synergy, and other potentials to achieve maximum results.
PLO-2:
Able to develop and solve science and technology problems in their field through research with an inter or multidisciplinary approach to produce innovative and tested works in the form of theses and papers that have been accepted in accredited national journals or accepted at reputable international seminars.
PLO-3:
Able to manage their own learning and develop themselves as personal lifelong learners to compete at national and international levels, in order to make a real contribution to solving problems by implementing information and communication technology and paying attention to the principle of sustainability.
PLO-4:
Able to apply Statistical Theory to Statistical Methods
PLO-5:
Able to design, implement, and evaluate data collection with appropriate methodology
PLO-6:
Able to use modern computing devices to solve statistical problems
PLO-7:
Able to apply and evaluate computational techniques to solve statistical problems
PLO-8:
Able to apply statistical methods appropriately and evaluate them to analyze theoretical and real problems
PLO-9:
Able to apply Computing-based Business, Industrial, Financial Economics, Social-Population, Environmental, or Health Statistics methods to real problems
Curriculum
Distribution of Courses per Semester
SEMESTER: I
No.
Course Code
Course Name
Credit
1
SS235101
Probability Theory
3
2
SS235102
Sampling Methods
3
3
SS235103
Linear Model
3
4
SS235—
Elective Course I
3
Total credit
12
SEMESTER: II
No.
Course Code
Course Name
Credit
1
SS235201
Statistical Inference
3
2
SS235202
Multivariate Analysis
3
3
SS235203
Intensive Computational Statistics
3
4
SS235—
Elective Course II
3
Total credit
12
SEMESTER: III
No.
Course Code
Course Name
Credit
1
SS235301
Advanced Data Analysis
3
2
SS235302
Thesis Proposal
3
Total credit
6
SEMESTER: IV
No.
Course Code
Course Name
Credit
1
SS235401
Thesis
6
Total credit
6
Distribution of Courses per Semester (Research Track)
SEMESTER: I
No.
CourceCode
Course Name
Credit
1
SS235171
Research Methods
3
2
SS235171
Thesis Research Proposal
3
3
SS235—
Elective Course I
3
4
SS235—
Elective Course II
3
Total credit
12
SEMESTER: II
No.
Course Code
Course Name
Credit
1
SS235271
Thesis I
4
2
SS235272
Research Publication I
6
Total credit
10
SEMESTER: III
No.
Course Code
Course Name
Credit
1
SS235371
Thesis II
6
Total credit
6
SEMESTER: IV
No.
Course Code
Course name
Credit
1
SS235471
Research Publication II
8
Total credit
8
List of Elective Course
No
Course Code
Elective Course Name
Credit
Lab. Name
1
SS235111
Bayesian Analysis
3
SCDS
2
SS235112
Advanced Simulation Technique
3
SCDS
3
SS235113
Advanced Stochastic Process
3
SCDS
4
SS235314
Enterprise Data Analytics
3
SCDS
5
SS235315
Advanced Data Organization
3
SCDS
6
SS235091
Computational Statistics (Matriculation)
3
SCDS
7
SS235092
Data Analysis (Matriculation)
3
SCDS
8
SS235321
Process Control Analysis
3
BIS
9
SS235322
Quality Design Analysis
3
BIS
10
SS235323
Reliability Analysis
3
BIS
11
SS235324
Consulting Statistics
3
BIS
12
SS235325
Research Methodology and Colloqium
3
BIS
13
SS235093
Statistical Analysis (Matriculation)
3
BIS
14
SS235095
Statistical Analysis
3
BIS
15
SS235331
Econometrics
3
EFDA
16
SS235332
Financial Statistics
3
EFDA
17
SS235333
Time Series Analysis
3
EFDA
18
SS235334
Advanced Statistical Machine Learning
3
EFDA
19
SS235335
Applied Statistics Capita Selecta
3
EFDA
20
SS235094
Mathematical Statistics (Matriculation)
3
EFDA
21
SS235141
Official Statistics Analysis
3
SPS
22
SS235242
Advanced Nonparametric Regression
3
SPS
23
SS235243
Marketing Research Methods
3
SPS
24
SS235244
Population Analysis
3
SPS
25
SS235351
Qualitative Data Analysis
3
SEH
26
SS235352
Survival Analysis
3
SEH
27
SS235353
Spatial Statistics
3
SEH
28
SS235354
Meta Analysis
3
SEH
29
SS235355
Advanced Experimental Design
3
SEH
Module Handbook
Distribution of Courses per Semester
SEMESTER: I
No.
Course Code
Course Name
Credit
1
SS235101
Probability Theory
3
2
SS235102
Sampling Methods
3
3
SS235103
Linear Model
3
4
SS235—
Elective Course I
3
Total credit
12
SEMESTER: II
No.
Course Code
Course Name
Credit
1
SS235201
Statistical Inference
3
2
SS235202
Multivariate Analysis
3
3
SS235203
Intensive Computational Statistics
3
4
SS235—
Elective Course II
3
Total credit
12
SEMESTER: III
No.
Course Code
Course Name
Credit
1
SS235301
Advanced Data Analysis
3
2
SS235302
Thesis Proposal
3
Total credit
6
SEMESTER: IV
No.
Course Code
Course Name
Credit
1
SS235401
Thesis
6
Total credit
6
Distribution of Courses per Semester (Research Track)
SEMESTER: I
No.
CourceCode
Course Name
Credit
1
SS235171
Research Methods
3
2
SS235171
Thesis Research Proposal
3
3
SS235—
Elective Course I
3
4
SS235—
Elective Course II
3
Total credit
12
SEMESTER: II
No.
Course Code
Course Name
Credit
1
SS235271
Thesis I
4
2
SS235272
Research Publication I
6
Total credit
10
SEMESTER: III
No.
Course Code
Course Name
Credit
1
SS235371
Thesis II
6
Total credit
6
SEMESTER: IV
No.
Course Code
Course name
Credit
1
SS235471
Research Publication II
8
Total credit
8
List of Elective Course
No
Course Code
Elective Course Name
Credit
Lab. Name
1
SS235111
Bayesian Analysis
3
SCDS
2
SS235112
Advanced Simulation Technique
3
SCDS
3
SS235113
Advanced Stochastic Process
3
SCDS
4
SS235314
Enterprise Data Analytics
3
SCDS
5
SS235315
Advanced Data Organization
3
SCDS
6
SS235091
Computational Statistics (Matriculation)
3
SCDS
7
SS235092
Data Analysis (Matriculation)
3
SCDS
8
SS235321
Process Control Analysis
3
BIS
9
SS235322
Quality Design Analysis
3
BIS
10
SS235323
Reliability Analysis
3
BIS
11
SS235324
Consulting Statistics
3
BIS
12
SS235325
Research Methodology and Colloqium
3
BIS
13
SS235093
Statistical Analysis (Matriculation)
3
BIS
14
SS235095
Statistical Analysis
3
BIS
15
SS235331
Econometrics
3
EFDA
16
SS235332
Financial Statistics
3
EFDA
17
SS235333
Time Series Analysis
3
EFDA
18
SS235334
Advanced Statistical Machine Learning
3
EFDA
19
SS235335
Applied Statistics Capita Selecta
3
EFDA
20
SS235094
Mathematical Statistics (Matriculation)
3
EFDA
21
SS235141
Official Statistics Analysis
3
SPS
22
SS235242
Advanced Nonparametric Regression
3
SPS
23
SS235243
Marketing Research Methods
3
SPS
24
SS235244
Population Analysis
3
SPS
25
SS235351
Qualitative Data Analysis
3
SEH
26
SS235352
Survival Analysis
3
SEH
27
SS235353
Spatial Statistics
3
SEH
28
SS235354
Meta Analysis
3
SEH
29
SS235355
Advanced Experimental Design
3
SEH
Thesis
Dual Degree and Student Mobility
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2023-2028 CURRICULUM OF MASTER PROGRAM IN STATISTICS