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1. Apply principles and skills of economics, marketing, and decision
making to contexts and environments in data science.
2.Analyze the economic and marketing environment’s impact on
business operations and objectives.
3. Apply the principles and techniques of database design,
administration, and implementation to enhance data collection
capabilities and decision-support systems.
4. Critique the role of information and analytics in supporting
business processes and functions.
5. Apply specialized knowledge, results of research, creative
expressions, and data design processes.
6. Organize big data sets into meaningful structures, incorporating
data profiling and quality standards.
7. Incorporate the data analysis framework for optimal performance.
8. Demonstrate and optimize the interpersonal and engagement skill
required for success in a global community or organization.
9. Effectively communicate analytical conclusions in written and
visual formats.
10. Articulate assumptions, analyses, and interpretations of data in an
oral format.
Programme overview
Main Subject
Business Analytics
Degree
MComm
Study Level
Masters
Study Mode
On Campus
1. Apply principles and skills of economics, marketing, and decision
making to contexts and environments in data science.
2.Analyze the economic and marketing environment’s impact on
business operations and objectives.
3. Apply the principles and techniques of database design,
administration, and implementation to enhance data collection
capabilities and decision-support systems.
4. Critique the role of information and analytics in supporting
business processes and functions.
5. Apply specialized knowledge, results of research, creative
expressions, and data design processes.
6. Organize big data sets into meaningful structures, incorporating
data profiling and quality standards.
7. Incorporate the data analysis framework for optimal performance.
8. Demonstrate and optimize the interpersonal and engagement skill
required for success in a global community or organization.
9. Effectively communicate analytical conclusions in written and
visual formats.
10. Articulate assumptions, analyses, and interpretations of data in an
oral format.
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:
Business Data Science
Chennai, IN, Chennai, India
Business AnalyticsMain Subject Area
Programme overview
Main Subject
Business Analytics
Degree
MComm
Study Level
Masters
Study Mode
On Campus
1. Apply principles and skills of economics, marketing, and decision making to contexts and environments in data science.
2.Analyze the economic and marketing environment’s impact on business operations and objectives.
3. Apply the principles and techniques of database design, administration, and implementation to enhance data collection capabilities and decision-support systems.
4. Critique the role of information and analytics in supporting business processes and functions.
5. Apply specialized knowledge, results of research, creative expressions, and data design processes.
6. Organize big data sets into meaningful structures, incorporating data profiling and quality standards.
7. Incorporate the data analysis framework for optimal performance.
8. Demonstrate and optimize the interpersonal and engagement skill required for success in a global community or organization.
9. Effectively communicate analytical conclusions in written and visual formats.
10. Articulate assumptions, analyses, and interpretations of data in an oral format.
Programme overview
Main Subject
Business Analytics
Degree
MComm
Study Level
Masters
Study Mode
On Campus
1. Apply principles and skills of economics, marketing, and decision making to contexts and environments in data science.
2.Analyze the economic and marketing environment’s impact on business operations and objectives.
3. Apply the principles and techniques of database design, administration, and implementation to enhance data collection capabilities and decision-support systems.
4. Critique the role of information and analytics in supporting business processes and functions.
5. Apply specialized knowledge, results of research, creative expressions, and data design processes.
6. Organize big data sets into meaningful structures, incorporating data profiling and quality standards.
7. Incorporate the data analysis framework for optimal performance.
8. Demonstrate and optimize the interpersonal and engagement skill required for success in a global community or organization.
9. Effectively communicate analytical conclusions in written and visual formats.
10. Articulate assumptions, analyses, and interpretations of data in an oral format.
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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