M.Sc. in Applied Statistics
A Bachelor’s Degree in Science from a UGC recognized university or any other equivalent qualification acceptable to the Senate of the University of Colombo. The candidates will be selected based on academic merits and/or a screening test, followed by an interview.
The aim of this degree program is to produce high quality professional statisticians with the essential skills and knowledge: design and analyze scientific experiments, surveys and sampling, and clinical trials; data visualization; statistical modeling. These statisticians will apply the skills and knowledge gained through the program in their institutes for successful data driven decision making and problem solving. Moreover, they would be able to train staff in their institutes, and even lead to entrepreneurships. Hence, this will promote data driven decision making and scientific problem solving culture in the country and will improve the productivity and efficiency in both public and private sectors.
Target groups of the program
- Graduates who are planning to pursue MPhil/PhD in Statistics or related fields.
- Researchers, scientists, executive officers, and educators in public and private sectors who need knowledge in Statistics and advanced data analytical skills.
- Graduates employed in public and private sectors who need to switch their careers to data analytics or other related fields.
- Qualified entrepreneurs and enthusiasts with an interest in Statistics and related fields.
Objectives of the program
- To enhance statistics knowledge, data analytical skills, research skills and other necessary skills of graduates who are planning to pursue higher degrees and to provide a postgraduate qualification for them.
- To produce high quality statisticians who are employable as professionals or to be entrepreneurs.
- To enhance employment opportunities for graduates from other disciplines
- To promote data driven decision making culture in the country by producing skillful statisticians.
Program Structure
Part I: Coursework (25 credits)
Part II: Independent Study (5 credits)
Part III: Individual Project (30 credits)