Programme overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
On Campus
1. Disciplinary Knowledge: a good theoretical knowledge of the domain Statistics and its methods and techniques.
2. Mathematical knowledge: sharpening mathematical knowledge needed to understand higher levels of Statistics understand multidimensional issues of data.
3. Application knowledge: understanding application of Statistics in various domain. Also understand the interdisciplinary nature of Statistics while applying it.
4. Critical Thinking: examine basic statistical issues in a more logical and methodical manner in a real data given.
5. Analytical Reasoning: to develop capability to identify logical issues in practicing with data, analyze and synthesize data from a variety of sources and accordingly draw conclusions.
6. Problem Solving skills: The students will be able to examine various hypotheses involved, and will be able to identify and consult relevant resources to find their rational answers. Also get mathematical problem solving.
7. Research Related Skills: The students should be able to develop original thinking for formulating new problems and providing their solutions.
8. Computational skills: acquire computing skills necessary for solving real life problems in par with the requirement of a job
9. Team work: experience in team work by engaging in team projects and team assignments. Also have original thinking and creative presentation
10. Communication and soft skills: Interactive skills and presentation skills
Programme overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
On Campus
1. Disciplinary Knowledge: a good theoretical knowledge of the domain Statistics and its methods and techniques.
2. Mathematical knowledge: sharpening mathematical knowledge needed to understand higher levels of Statistics understand multidimensional issues of data.
3. Application knowledge: understanding application of Statistics in various domain. Also understand the interdisciplinary nature of Statistics while applying it.
4. Critical Thinking: examine basic statistical issues in a more logical and methodical manner in a real data given.
5. Analytical Reasoning: to develop capability to identify logical issues in practicing with data, analyze and synthesize data from a variety of sources and accordingly draw conclusions.
6. Problem Solving skills: The students will be able to examine various hypotheses involved, and will be able to identify and consult relevant resources to find their rational answers. Also get mathematical problem solving.
7. Research Related Skills: The students should be able to develop original thinking for formulating new problems and providing their solutions.
8. Computational skills: acquire computing skills necessary for solving real life problems in par with the requirement of a job
9. Team work: experience in team work by engaging in team projects and team assignments. Also have original thinking and creative presentation
10. Communication and soft skills: Interactive skills and presentation skills
Scholarships
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