Course Description

MAS 111

Descriptive Statistics

This course is intended to be an introdu

ction to the basic concepts for analysis of univariate data

and basic concepts of probability. Topics include: Nature

and scope of Statistics. Types of data and levels of

measurement. Data collection process: observation,

experiment, and sample survey. Presentation of data:

frequency distributions and graphical methods by SPSS

computerized demonstration. Summary statistics:

measures of location for ungrouped data, measures of

dispersion, measures of position for ungrouped data.

Outlier, Stem and Leaf plot and Box-plot. Standard

scores. Chebyshev's theorem, empirical (normal) rule.

Approaches to probability. Properties of probability.

Additive and multiplicative laws of probability.

Conditional probability and statistical independence.

MAS 112

Official Statistics

This course provides an overview of key areas of Official

Statistics and statistical methods useful in generating

Official Statistics. Topics include: Nature, scope and

sources of economics and social statistics. Agricultural

statistics. Manpower and employment statistics.

Educational statistics. Health and nutrition statistics.

Human development index (HDI) and human resource

development Indicator (HRDI). Poverty statistics.

National income statistics. System of National Accounts

(SNA). Some Economic Index Numbers. Consumer Price

index numbers (CPI). Nominal and real measures.

International trade: trade systems and terms of trade.

Myanmar Economy: selected topics.

MAS113

Principles of Economics

This course provides students with fundamental

economic concepts. The first part covers the framework

to understand the microeconomics and economic

decision making of individuals and firms in market set­

ting. The second part encompasses the basic tools of

macroeconomics, determination of macroeconomic

variables in a closed economy as well as in an open

economy.

I am strong£!} 6elieveo t6e

program w6ic6 can create our

brig6ter future ana improve{) our

anafl)tical skills.T6e program

provioeo t6e t6eorlJ as well as

practical£» applieo in all areas

suc6 as researc6 ano oevelopment

sector; financial ana oata anal!Jsis

operation management. SO;t6at is

our opportunitl) to learn in

programme.

Ma Aye Aye K6aing

Safes Force Effectiveness Manager

DKSHCo1Lto

Ro{{No. 15

MASI"t Batc6

I strongly Ge!ieve t6at MAS

can support us to Gecome more

powerful ano professional

statistician in future.

Know!eoge in statistics provioes

us wit6 t6e necessary tools ano

conceptual founoations in

quantitative reasoning to extract

information intelligently from t6e

6uge of oata.

It is important for researc6ers ano

also consumers of researc6 to

unoerstano statistics. so t6at t6ey

can Ge informeD; evaluate t6e

creoiGi!ity ano usefulness of

information ano make appropriate

oecision.

w6en useo correctly statistics tel!

us any trenos in t6e w6at

6appeneo in t6e past ano can Ge

useful in preoicting w6at may

6appen in t6e future prescriGeo.

Dan; saGei Aung

Associate Director

Nielsen MMRD Myanmar

Rof!No. 45

MASrt Batc6

MAS121 Inferential Statistics The objective of this course is to provide essential applica­

tions of inferential statistics with concrete illustrations.

Topics include: Basic concepts of statistical inference.

Random variables: discrete and continuous variables and

their probability distributions, concepts of expectation,

variance, covariance and correlation. Distributions of

sums of respective independent random variables, their

means and variances. Sampling distribution of mean and

variance. Some discrete and continuous probability dis­

tributions. Central limit theorem. Statistical estimation:

mean, proportion, and variance. Statistical hypothesis

testing: one population mean, one population proportion

and one population variance. Goodness of fit test. Test of

independence in contingency table.

MAS122 Population Statistics This course introduces students to understand the basic

demographic data analysis. Topics include: Meaning and

scope of statistical demography. Sources of population

data and their limitations: population census, vital

registration system and survey. Measures of population

change, population structure and distribution of popula­

tion. Population pyramids. Evaluation of census data.

Basic demographic indicator. Estimation of population

and population growth rates. Basic measures of fertility,

mortality and migration. Life table: types, functions and

concepts. Construction of life tables. Completeness of

registration data and civil records. Indirect measures of

migration.

MAS123 Qualitative Data Analysis The aim of this course is to provide students with meth­

ods for qualitative data analysis. Topics include: The

nature of qualitative data, attribute and variable. Attribute:

dichotomy and notations, positive and negative attribute

classes, methods for determining class frequencies.

Consistency of data. Association of attributes:

comparison of proportions and expected frequencies,

Yule1s coefficient of association, partial and illusory

associations. Analysis of categorical data: manifold

classification and contingency table. Odds ratio. Chi-

square test of independence. Partition of Chi square for

testing independence in two-way contingency table and

three-way contingency table. Measures of associa­ tion:

Measures of association for ordinal data: rank measures

of association.

MAS131

Design and Analysis of Experiments

This course covers common design of experiments and

their applications to agricultural and bioscience analysis

by the aided of software. Topics include: Basic principles

for design of experiments. Completely Randomized

Design (CRD). Randomized Block Design (RBD).

Regression approach to randomized block design.

Covariance analysis for randomized block design. Latin

Square Design (LSD). Split-plot Design, Factorial

balanced and unbalanced designs. Response curve.

As I am an assistant lecturer;

I 6ave to teac6 nursing researc6

baseo on empirical ano anaf-!)tical

researc6 met6ooologJJ. T6roug6

MAS132

t6is MAS programme1

I can

Operations Management

The course identifies and develops and understanding of

the major problem in the design, planning and control of

productive system and illustrate the independence

between production/ operations and decisions and other

areas of management. Topics include strategic planning

decisions for operations such as demand forecasting,

product design, capacity planning, location, distribution

and layout, operation planning and control such as

aggregate production planning, inventory replenishment

policies and material requirements planning, workplace

management, total quality control, system reliability and

maintenance function.

MAS133

Decision Theory and Analysis

This course focuses on the theory and methods of statisti­

cal decision theory. Topics include: Decision making

under certainty. Decision making under uncertainty: use

of different criteria. Decision under expected utility

function. Statistical inference as statistical decision

theory: use of different criteria. Decision under sample

information . Minimax decision rule. Bayes' decision rule.

Decision Tree. Some applications of Bayes' decision rules.

EVPI, EPPI, EPSI.

exteno mJJ statistical nowleoge

w6ic6 can be applieo in teac6ings1

supervising t6e 6ealt6 relateo

researc6 ano eoucational researc6

ano conoucting mJJ investigations.

In mJJ opinion, t6e stateo curricu­

lum ano SJlllabUS of t6is pro­

gramme encourage us to be wioen

nowleoge in statistical uses. Due

to applicabilitJJ of statisticS; t6is

course is t6e benefocial course for

evioenceo baseo practices. Last!JJ

but not t6e leas I woulo Me to

express mJJ gratituoe t6at our

statistical nowleoge coulo not be

strengt6en wit6out ent6usiastic

teac6ings of our teac6ers in MAS

programme.

Ma Su Su NJJein

Assistant Lecturer

MilitarJJ Institute of Nursing ano

Parameoical Science

R.ollNo. 22

MASI' 1 Batc6

Master of Applieo Statistics

{MAS} provioes me to 6ave

t6oroug6 unoerstanoing of

statistical t6eories ano concepts.

Statistics lectures ana practical

computing wit6 Statistical

software are great!» benefots for

me to furt6er oevelop m:!J skill ana

abilities in Statistics in oroer to

en6ance m:!J researc6 ano anai:!}sis

expertise in m:!J career life.

Ma Min Min T6an

Assistant Director

Central Statistical Organization

Roll No. 2.I

MAS r'1 Batc6

MAS141

Time Series Analysis and Forecasting

This course is concerned with the analysis and forecasting

of time series data. Topics include: Basic time series

models. Decomposition of time series. Trend estimation.

Seasonal variation and measures of seasonality. Forecast­

ing a time series: use of trend and seasonal components.

Moving averages, smoothing, Box-Jenkins (ARIMA)

models, testing for nonstationarity, model fitting and

checking, prediction and model selection, seasonal

adjustment. Statistical packages used throughout the

course.

MAS142

Survey Operations

This course introduce student to understand the basic

concepts of planning a survey; sample design and sample

size, frame construction; tabulation plans; preparation of

questionnaires and manual of instruction; field

operations; processing of data, preparation of report.

MAS143

Financial Statistics

This course introduces Financial Statistics to the students.

The contents of the course are clear statements,

definitions and principles of Actuarial Statistics, which

include simple interests and discounts, compound inter­

ests and discounts, ordinary annuities certain, and

different types of annuities. Amortization and sinking

funds. Financial ratio analysis .

MAS211

Econometric Methods & Applications

This course motivates students to understand economet­

ric modeling and its applications . Topics include: Nature

and scope of econometric. Two variables Linear

Regression Models (simple, Log Linear, Linear-log,

Double Log, Growth Rate, Box-Cox Regression). Multiple

Regression Models. Qualitative Response Regression

Models. Autoregressive and Distributed-log Models.

Simultaneous Equation Methods . Time Series Economet­

rics. Nature and quality of econometric data. Demand for

durables, measurement of production function, the

consumption function and investment function.

MAS212

Applied Non-parametric Methods

This course focuses on the theory and methods of making

statistical inference based on nonparametric statistical

techniques. Topics include: Introduction to non­

parametric statistical tests. One sample runs test.

Wilcoxon single-rank test for location. Mann- Whitiney

test. Sign test. Test of goodness of fits: binomial and

Normal tests. Measures of association and their tests of

significance. Kruskal-Wallis one-way analysis of variance

(independent samples). Rank correlation coefficients.

Kolmogorov -Smirnov test. Applications of nonparamet­

ric tests to environmental and biosciences. Statistical

packages used throughout the course.

MAS213

Survey Designs

This course emphasizes on practical applications of some

sampling designs in survey methodology. Concepts in

designing sample surveys; non-sampling errors; Control

of non-sampling error; Design effect; Simple random

sampling; Systematic sampling; Sampling with varying

probabilities; Stratification, use of auxiliary information;

Cluster sampling; Multi-stage sampling .

MAS214

Industrial Statistics

Overview of the statistical methods useful in quality

assurance; statistical process control; control charts for

variables and attributes, cusum chart, process capability

analysis; acceptance sampling. Total Quality Manage­

ment; Six Sigma Management Statistical Process Control:

Continuous Quality Improvement.

MAS215

Biostatistics

This course is designed to introduce the basic principles

and concepts in Biostatistics as well as to give a good

foundation for understanding of biostatistics. Topics

include: Use of statistics in biological and medical

research. Presentation of biological and medical data.

Statistical methods for medical research. Design and

analysis of medical experiments: completely randomized

design, Latin square design. Correlation and regression

analysis of biological data. Categorical data analysis for

biological data. Nonparametric tests for biological data.

Biological assay: Direct and indirect.

wGen I founo out tGat tGe

statistical knowleoge is inevita6fe

for tGe manageria lfunctions of all

sectors ano inoustries/ I Gave

joineo tGe MAS programme to

learn systematic analysis. TGe

knowleoge we Gave learneo Gere in

tGis programme are mucG more

useful tGan we expecteo.

Ma Zin Mar Htay

Director

/Myanmar Business Point co./to

Roll No. IO

MAS rt BatcG

Researcb ano statistics are

tbe in?Jispensa!J!e subjects far profes­

sional ?Jeve!apment As I ama tead;er.

I wou!o sl;are 111!) va!uahfe hwwfe?Jge

t/;at is stuOie?J from Master of Applie?J

statistics murse to 111!) nursing st:uit;nts.

Tf;rour/; sud; steppmg stof14

contribute to 111!) muntrys bdtl; sectrJr

?wefopwent

Ma Ni Ni Lwin

Assistant Lecturer

Universit;!} of Nursing

Yangon

Rof!No.n

MAS1' 1 Batc6

MAS221

Multivariate Analysis

This course introduces the students to the statistical

methods for multivariate data analysis. Topics include:

Hotelling T2. Multivariate ANOVA, MANOVA,

Principal components, Factor analysis, Discrimination

analysis and Canonical analysis. Statistical packages

used throughout the course.

MAS222

Optimization in Operations Research

This course is an introduction to operations research

techniques. Topics include: Role of operations research

techniques in business. Linear Programming: Graphical

and Simplex Method. Transportation Model. Assign­

ment Model. Inventory Models. Waiting Line Models.

PERT and CPM Analysis.

MAS223

Market Research Techniques This course emphasizes on the key concepts of market

research. Topics include: Defining the market research

problem and developing an approach. Environmental

context of the problem, Management decision problem

and marketing research problem. Exploratory research

design: Secondary data and qualitative research.

Descriptive research design: survey and observation .

Questionnaire and form design. International Market­

ing research. Application to studies of consumer

behavior and attitudes, retail studies, segmentation and

construction of market research for non-consumer

goods, public opinion research, for government. The

data analysis for marketing research will be conducted

using statistical software.

MAS224

Environmental Impact Analysis

Topic include: Myanmar agenda 21, the main objectives,

issues and challenges, structure and organizations.

Some largest environmental problems now affecting the

words: acid rain, water pollution, air pollution, soil

pollution, global warming, hazardardes wastes, green

house, ozone depletion, smog, overpopulation etc. Key

environment issues and causes in ASEAN: environmen­

tal indicators, the framework applied in the integrated

system (PSR) in ASEAN countries, pressure indicators,

state indicators and response indicators. Comparative

study of environment indicators in some ASEAN

countries. Environmental Impact Assessment (EIA) and

Social Impact Assessment (SIA).

Prof. Dr. Mya Thandar

Dr . Mya Thandar is a Professor at the Department of Statistics, Yangon University of

Economics (November 2012 to present) . She started to join the Department of

Statistics, Yangon University of Economics as a tutor in 1994. She got her B. Econ

(Statistics) degree in 1991 and M. Econ (Statistics) degree in 1998 from Yangon

University of Economics. In 2000, she also attained MAS (Master in Applied

Statistics) degree from the Polytechnic University of the Philippines. She achieved

Ph.D degree from Yangon University of Economics in 2010. She was an Associate

Professor (Head of Department of Statistics) in Monywa University of Economics

(2011-2012) and a Professor (Head of Department of Statistics) in Monywa

University of Economics (December 2013- May 2014 and August 2015- November

2015). Her specialized field of study is Time Series Analysis and Forecasting. She is

currently giving lectures on Time Series Analysis and Forecasting at M. Econ

(Statistics) and Ph. D classes. She also teaches Statistics for Public Administration,

Business Statistics, Quantitative Methods and many statistics subjects at MPA,

EMPA, MBA, DRS and DIM classes.

Prof. Dr. Aye Thida

Dr. Aye Thida is a Professor at the Department of Statistics, Yangon University of Economics. She

began her academic career in 1986 as a Tutor at department of Statistics, Yangon University of

Economics. She got her B.Econ (Statistics) degree in 1983 and M.Econ (Statistics) degree in 1995

from the Yangon University of Economics. She also got her PhD degree from Yangon University of

Economics in June 2018. She was an Associate Professor in Yangon University of Economics

(December, 2018) and Professor in Yangon University of Economics (December, 2019). Her

speciality is Econometrics. She is currently giving Lecture on Econometrics at M.Econ (Statistics)

and MAS.