Master of Science in Business Analytics (Online)
Master of Science in Business Analytics (Online)
Master of Science in Business Analytics (Online)
Program Highlights:
The Master of Science in Business Analytics addresses the rising demand for professionals skilled in data-driven decision-making. This field emphasizes deriving new insights and a deep understanding of business performance through data analysis and statistical methods. Graduates are equipped to collect, analyze, and interpret information, enabling fact-based strategies that drive success across various industries.
The fully online Master of Science in Business Analytics offers a global perspective, attracting students from diverse backgrounds and industries. This program equips professionals with the skills to reduce costs through analytical insights, optimize resource utilization, and enhance the agility and quality of business operations.
With a strong emphasis on real-world applications, the 30-credit-hour program includes a capstone project where students showcase their expertise by solving practical business challenges. Leveraging advanced skills in statistical analysis, operational techniques, analytical software, and predictive modeling, graduates are prepared to drive informed decision-making.
Coursework covers a range of topics, including project management, finance, data science, and analytics, providing a well-rounded foundation for success in various industries.
Program Learning Outcomes:
As a graduate of this program, you will possess the expertise to gather and analyze business data that supports organizations in making strategic decisions for both long-term planning and daily operations. Upon completing the Master of Science in Business Analytics, you will be able to:
- Evaluate various methods and technologies for organizing and preparing data for statistical analysis.
- Assess the entire project management cycle, from initial implementation to successful delivery.
- Communicate complex information clearly and effectively through oral, written, and graphical formats.
- Analyze key performance indicators (KPIs), financial reports, and predictive models using specialized software.
- Apply business analytics theories to address challenges in supply chain, logistics, and production processes.
- Utilize statistical methods to create regression models and develop data models for forecasting and profit planning.
Program Duration
The academic year consists of three semesters: Fall (divided into two eight-week terms), Spring (divided into two eight-week terms), and Summer (a single eight-week term).
Academic Calendar
| Semester | Class Start |
|---|---|
| Spring 2025 Term 1 | January 6, 2025 |
| Spring 2025 Term 2 | March 10, 2025 |
| Summer 2025 | June 9, 2025 |
Admission Requirements
If you are a U.S. citizen, permanent resident, or an international student studying remotely from your home country, and have already earned a bachelor’s degree, you may be eligible to pursue a master’s degree. To apply, the following materials must be submitted:
- A completed application form.
- Official transcripts from ALL previously attended post-secondary institutions.
- A well-crafted essay explaining your motivation for pursuing graduate studies, your future career goals, and how you plan to succeed in graduate school.
- A current resume highlighting your academic and professional background.
- GRE/GMAT: Graduates from regionally accredited colleges or universities are exempt from the GRE/GMAT requirement. However, those who graduated from nationally accredited institutions must complete the entrance exam.
- English Proficiency Requirement:
- You can check the English Proficiency Exemption
- Test Score TOEFL iBT: 79
- Test Score IELTS: 6.5
Program Requirements (30 Credit Hours)
- Project Management (3 CH)
- Statistics & Quantitative Methods (3 CH)
- Operations Analytics (3 CH)
- Analytics Software & Tools (3 CH)
- Data Mining & Data Visualization (3 CH)
- Data Science & Big Data (3 CH)
- Corporate Finance (3 CH)
- Financial Modeling (3 CH)
- Data Driven Decision-Making (3 CH)
- Business Analytics Capstone (3 CH)
Tuition Fees
- Initial Application Fees: $105.
- Study Tuition Fees: $575 per credit hour, $17250 total for the program.
Finally, please fill out the following free application form to enable us to proceed with your application.
- For any additional information or help, please email [email protected].
Program Highlights:
The Master of Science in Business Analytics addresses the rising demand for professionals skilled in data-driven decision-making. This field emphasizes deriving new insights and a deep understanding of business performance through data analysis and statistical methods. Graduates are equipped to collect, analyze, and interpret information, enabling fact-based strategies that drive success across various industries.
The fully online Master of Science in Business Analytics offers a global perspective, attracting students from diverse backgrounds and industries. This program equips professionals with the skills to reduce costs through analytical insights, optimize resource utilization, and enhance the agility and quality of business operations.
With a strong emphasis on real-world applications, the 30-credit-hour program includes a capstone project where students showcase their expertise by solving practical business challenges. Leveraging advanced skills in statistical analysis, operational techniques, analytical software, and predictive modeling, graduates are prepared to drive informed decision-making.
Coursework covers a range of topics, including project management, finance, data science, and analytics, providing a well-rounded foundation for success in various industries.
Program Learning Outcomes:
As a graduate of this program, you will possess the expertise to gather and analyze business data that supports organizations in making strategic decisions for both long-term planning and daily operations. Upon completing the Master of Science in Business Analytics, you will be able to:
- Evaluate various methods and technologies for organizing and preparing data for statistical analysis.
- Assess the entire project management cycle, from initial implementation to successful delivery.
- Communicate complex information clearly and effectively through oral, written, and graphical formats.
- Analyze key performance indicators (KPIs), financial reports, and predictive models using specialized software.
- Apply business analytics theories to address challenges in supply chain, logistics, and production processes.
- Utilize statistical methods to create regression models and develop data models for forecasting and profit planning.
Program Duration
The academic year consists of three semesters: Fall (divided into two eight-week terms), Spring (divided into two eight-week terms), and Summer (a single eight-week term).
Academic Calendar
| Semester | Class Start |
|---|---|
| Spring 2025 Term 1 | January 6, 2025 |
| Spring 2025 Term 2 | March 10, 2025 |
| Summer 2025 | June 9, 2025 |
Admission Requirements
If you are a U.S. citizen, permanent resident, or an international student studying remotely from your home country, and have already earned a bachelor’s degree, you may be eligible to pursue a master’s degree. To apply, the following materials must be submitted:
- A completed application form.
- Official transcripts from ALL previously attended post-secondary institutions.
- A well-crafted essay explaining your motivation for pursuing graduate studies, your future career goals, and how you plan to succeed in graduate school.
- A current resume highlighting your academic and professional background.
- GRE/GMAT: Graduates from regionally accredited colleges or universities are exempt from the GRE/GMAT requirement. However, those who graduated from nationally accredited institutions must complete the entrance exam.
- English Proficiency Requirement:
- You can check the English Proficiency Exemption
- Test Score TOEFL iBT: 79
- Test Score IELTS: 6.5
Program Requirements (30 Credit Hours)
- Project Management (3 CH)
- Statistics & Quantitative Methods (3 CH)
- Operations Analytics (3 CH)
- Analytics Software & Tools (3 CH)
- Data Mining & Data Visualization (3 CH)
- Data Science & Big Data (3 CH)
- Corporate Finance (3 CH)
- Financial Modeling (3 CH)
- Data Driven Decision-Making (3 CH)
- Business Analytics Capstone (3 CH)
Tuition Fees
- Initial Application Fees: $105.
- Study Tuition Fees: $575 per credit hour, $17250 total for the program.
Finally, please fill out the following free application form to enable us to proceed with your application.
- For any additional information or help, please email [email protected].
Program Highlights:
The Master of Science in Business Analytics addresses the rising demand for professionals skilled in data-driven decision-making. This field emphasizes deriving new insights and a deep understanding of business performance through data analysis and statistical methods. Graduates are equipped to collect, analyze, and interpret information, enabling fact-based strategies that drive success across various industries.
The fully online Master of Science in Business Analytics offers a global perspective, attracting students from diverse backgrounds and industries. This program equips professionals with the skills to reduce costs through analytical insights, optimize resource utilization, and enhance the agility and quality of business operations.
With a strong emphasis on real-world applications, the 30-credit-hour program includes a capstone project where students showcase their expertise by solving practical business challenges. Leveraging advanced skills in statistical analysis, operational techniques, analytical software, and predictive modeling, graduates are prepared to drive informed decision-making.
Coursework covers a range of topics, including project management, finance, data science, and analytics, providing a well-rounded foundation for success in various industries.
Program Learning Outcomes:
As a graduate of this program, you will possess the expertise to gather and analyze business data that supports organizations in making strategic decisions for both long-term planning and daily operations. Upon completing the Master of Science in Business Analytics, you will be able to:
- Evaluate various methods and technologies for organizing and preparing data for statistical analysis.
- Assess the entire project management cycle, from initial implementation to successful delivery.
- Communicate complex information clearly and effectively through oral, written, and graphical formats.
- Analyze key performance indicators (KPIs), financial reports, and predictive models using specialized software.
- Apply business analytics theories to address challenges in supply chain, logistics, and production processes.
- Utilize statistical methods to create regression models and develop data models for forecasting and profit planning.
Program Duration
The academic year consists of three semesters: Fall (divided into two eight-week terms), Spring (divided into two eight-week terms), and Summer (a single eight-week term).
Academic Calendar
| Semester | Class Start |
|---|---|
| Spring 2025 Term 1 | January 6, 2025 |
| Spring 2025 Term 2 | March 10, 2025 |
| Summer 2025 | June 9, 2025 |
Admission Requirements
If you are a U.S. citizen, permanent resident, or an international student studying remotely from your home country, and have already earned a bachelor’s degree, you may be eligible to pursue a master’s degree. To apply, the following materials must be submitted:
- A completed application form.
- Official transcripts from ALL previously attended post-secondary institutions.
- A well-crafted essay explaining your motivation for pursuing graduate studies, your future career goals, and how you plan to succeed in graduate school.
- A current resume highlighting your academic and professional background.
- GRE/GMAT: Graduates from regionally accredited colleges or universities are exempt from the GRE/GMAT requirement. However, those who graduated from nationally accredited institutions must complete the entrance exam.
- English Proficiency Requirement:
- You can check the English Proficiency Exemption
- Test Score TOEFL iBT: 79
- Test Score IELTS: 6.5
Program Requirements (30 Credit Hours)
- Project Management (3 CH)
- Statistics & Quantitative Methods (3 CH)
- Operations Analytics (3 CH)
- Analytics Software & Tools (3 CH)
- Data Mining & Data Visualization (3 CH)
- Data Science & Big Data (3 CH)
- Corporate Finance (3 CH)
- Financial Modeling (3 CH)
- Data Driven Decision-Making (3 CH)
- Business Analytics Capstone (3 CH)
Tuition Fees
- Initial Application Fees: $105.
- Study Tuition Fees: $575 per credit hour, $17250 total for the program.
Finally, please fill out the following free application form to enable us to proceed with your application.
- For any additional information or help, please email [email protected].