Department of Statistics
Learning in our Department
Students concentrating in Statistics acquire the conceptual, computational, and statistical tools for quantifying uncertainty and making sense of complex data arising from many applications.
History of Department of Statistics
Statistics was initially taught as a subject for the students of social science under Rangoon University in 1953. Later, the Department was established as one of the separate academic departments under Rangoon University in 1956 and the first professor of Statistics was Dr. Sundrum. When the Yangon Institute of Economics (YIE) was newly founded in 1964, the Department of Statistics became one of the major academic departments in the Institute and it offers an academic master’s degree program in Statistics. The Department of Statistics offered the Bachelor of Population Studies (BPS) in 2000, and Master of Population Studies (MPS) in 2004. The Doctor of Philosophy in Statistics (PhD), a program for statistics specialization was launched starting from the year 2000. The faculty persons who passed the entrance exam are allowed to attend the PhD class. Then, the postgraduate diploma in research studies (PGDRS) was launched in 2013 and the professional master namely Master of Applied Statistics (MAS) program was recently launched in June 2017. The Department has been the main academic and professional hub to facilitate statistical knowledge for local and the whole society.
- To enhance leadership qualities and competencies for a professional career in statistics with an emphasis on handing large data sets.
- To develop effective use and analysis of statistics in management decision making.
- To advance acquisition of skills in using statistical tools and techniques in instruction, research, and extension.
- To be a leading organization in the field of Demography, dedicated to building and sharing wisdom for the well-being of Myanmar people.
Statistics is a relatively young discipline, organized around the rapidly growing body of knowledge about principled methods for data collection and data analysis, the making of rational decisions under uncertainty, and the modeling of randomness in any quantitative inquiries, including the social, natural, and medical sciences.
Statistics has a theoretical core surrounded by a large number of domains of application in various fields such as business, economics, population science, finance, education, engineering, environmental sciences, computer science, astronomy, biology, medicine, psychology, sociology, and many others.
A basic goal of the concentration in Statistics is to help students acquire the conceptual, computational, and statistical tools for quantifying uncertainty and making sense of complex data arising from many applications – including statistically sound ways of collecting such data. For statistics students, the mathematical preparation required includes calculus and linear algebra.
You will learn about:
- Fundamentals of Statistics introduce statistical principles with different areas of application emphasized as indicated in the above descriptions for all students.
- Applied Statistics subjects can provide a grounding in traditional and modern approaches to statistical modeling and inference for not only for statistics specialization but also for other specialization namely Business Administration, Accounting, Economics, Public Administration, and Development Studies specializations
- Handling the large data: Data Science and Big Data Analysis
- Data Collecting, analyzing and interpreting the results
- The theoretical introduction is provided by Statistical Theory, Probability Distributions & Statistical Inference, and Stochastic Processes.
- Advanced statistical analyses: Multivariate Analysis, Econometric Methods, and Time Series Analysis, and etc.
Population Studies Specialization
Are you interested in studying contemporary population issues like aging, migration, and global population growth?
The field of Population Studies reflects on and deals with contemporary demographic topics and related societal issues. The study is simultaneously concrete and broad. In the program, Population Studies students learn the theories, methods, and skills required to become a versatile demographer.
Essential to understanding population dynamics is the study of people’s demographic behavior, such as birth, health, migration, and death. The master program focuses on these demographic events, on how decision-making regarding these life events is influenced by the economic, societal, cultural, and geographical context, and on how these demographic events have an impact on population-level trends.
You will learn about:
- Contemporary population issues as population aging, integration of migrants, health inequalities, and global population growth
- Individual decision-making processes behind demographic events, such as family formation, residential choices, and health care use
- Collecting and interpreting demographic data
- Methods and techniques to analyze demographic data: life tables, population projections, advanced statistical analysis, and qualitative research methods
- Population policies and intervention programs
The Master in Population Studies is also interesting for mid-career professionals working at, for example, statistical offices or demographic departments of government agencies.
Head of Department
Professor Dr. Maw Maw Khin
Professor Dr. Mya Thandar
Professor Dr. Aye Thida
Daw Khin Nu Win
Daw Tin Tin Mya
Dr. Hlaing Hlaing Moe
Daw Soe Soe Lwin
Daw Myat Myat Oo
Daw Khine Tin Zar Lwin
Daw Hla Hla Than
Daw Min Min Htike
Daw Khin Than Sint
Daw Saw Nan Swe
Daw Thida Win
Daw Khin Thet Tun
Daw Mar Mar Aye
Daw Cho Cho Win
U Lwin Moe
Daw Nwe Ni Tun
Daw Naing Naing Maw
Daw Hla Hla Aye
Dr. Sandar Thein
Daw Thin Marlar Oo
Daw Aye Aye Phyu
Daw Aye Aye Htwe
U Win Naing
Dr. Tin Tin Mar
Daw Khet Khet Hnin
Daw Thet Mar Lwin
Daw Ei Thuzar Tun
Daw Thandar Wai Wai Thein
Daw Naw Yu Yu Tin
Daw Hnin Hnin Aung
Daw Win Thiri Aung
Daw War War Naing
Daw Khin Sandi Myint
Daw Ei Khaing Shwe
Dr. Than Pe
Professor Dr. San Kyi
Professor Dr.Khin May Than
U Khin Maung Win
Daw Tin Tin Yu
Daw Aye Aye Than
Daw Nwe Nwe Yee
Daw Khin Moe Moe
Professor Dr.Swe Swe Zin