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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
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Statistics
Chennai, IN, Chennai, India
Statistics and Operational ResearchMain Subject Area
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
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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