Masters of Business Administration (MBA)- Project Management
The Master of Business Administration program with a focus on Project Management at DeV...
B.S. in Business Administration- Business Intelligence and Analytics Management
Chicago, Chicago Loop-IL, Ontario, CA, Newark-CA, Sherman Oaks-CA, San Diego-CA, Orlando-FL, Arlington-VA, Decatur-GA
INTAKE: Jan, Mar, May, Jul, Sep & Nov
Program Overview
DeVry University's B.S. in Business Administration with a specialization in Business Intelligence and Analytics Management focuses on equipping students with the skills and knowledge to harness data-driven insights for strategic decision-making in businesses. The program integrates business principles with advanced analytics techniques, preparing students for roles where they can leverage data to drive operational efficiency, innovation, and competitive advantage.
Curriculum: The curriculum of the B.S. in Business Administration with a specialization in Business Intelligence and Analytics Management covers a comprehensive range of subjects. Core business courses include Management Principles, Marketing Strategies, and Financial Management. Specialized courses in business intelligence and analytics may include Data Mining and Visualization, Predictive Analytics, Business Intelligence Strategy, Database Management, and Big Data Analytics. These courses are designed to provide students with hands-on experience in analyzing and interpreting data to solve complex business problems.
Research Focus: DeVry University emphasizes applied research in Business Intelligence and Analytics Management. Students engage in research projects that involve collecting, analyzing, and interpreting real-world data sets. They learn to apply statistical methods, machine learning algorithms, and data visualization techniques to extract meaningful insights that inform business strategy and decision-making. Research assignments often focus on identifying trends, predicting outcomes, and optimizing business processes using analytics tools and software.
Industry Engagement: The program fosters strong industry engagement through partnerships with businesses, analytics firms, and technology providers. Students have opportunities to participate in internships, co-op programs, and industry-sponsored projects that allow them to apply their analytical skills in real-world settings. Guest lectures from industry professionals, workshops, and networking events provide students with insights into industry best practices and emerging trends in business intelligence and analytics.
Global Perspective: DeVry University integrates a global perspective into its Business Intelligence and Analytics Management program. Students explore global data trends, international business analytics strategies, and the impact of globalization on data-driven decision-making. Courses such as Global Business Intelligence and Cultural Intelligence in Analytics prepare students to navigate the complexities of global markets and collaborate effectively in diverse, multicultural business environments.
Location
Chicago, Chicago Loop-IL, Ontario, CA, Newark-CA, Sherman Oaks-CA, San Diego-CA, Orlando-FL, Arlington-VA, Decatur-GA
Score
IELTS 6
Tuition Fee
USD 16448
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 60% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 61 or higher.
- PTE: Overall score of 58 or higher.
- SAT (Scholastic Aptitude Test) Requirement: A SAT score of 460 is required.
- ACT (American College Test) Requirement: A CAT score of 460 is required.
DeVry University is providing financial assistance to its international student community. The university offers various scholarships and financial aid options to help international students pursue their academic and career goals.
International Merit Scholarships: DeVry University may offer international merit scholarships to academically outstanding students. These scholarships are based on academic achievement and are typically awarded to students with exceptional academic records. International students who meet specific GPA requirements may be eligible for these merit-based scholarships.
International Student Scholarships: DeVry University may provide general scholarships specifically for international students. These scholarships can help offset tuition costs and are awarded based on various criteria, such as academic achievements, leadership skills, community involvement, and financial need.
Industry-Specific Scholarships: Some academic programs at DeVry University may offer industry-specific scholarships that are open to both domestic and international students. These scholarships are often tailored to students pursuing careers in specific fields, such as technology, business, engineering, healthcare, and more.
Alumni Legacy Scholarships: DeVry University may offer scholarships to international students who have a family member or relative who is an alumnus of the university. These alumni legacy scholarships aim to foster a sense of tradition and family connection within the DeVry community.
External Scholarships and Sponsorships: In addition to the scholarships directly offered by DeVry University, international students are encouraged to explore external scholarship opportunities and sponsorships from private organizations, governments, and foundations. These scholarships are not directly affiliated with the university but can still provide financial support for international students studying at DeVry.
Graduates of DeVry University's B.S. in Business Administration with a specialization in Business Intelligence and Analytics Management are prepared for a variety of career opportunities that leverage their skills in data analysis, business strategy, and technology.
Business Intelligence Analyst: BI Analysts are responsible for transforming data into insights that drive business decisions. They create data visualizations, reports, and dashboards to help organizations understand trends and make informed choices.
Data Analyst: Data Analysts interpret complex data sets to identify patterns and relationships. They use statistical tools and software to analyze data and provide actionable insights for business improvements.
Data Scientist: Data Scientists develop algorithms and models to predict future trends based on historical data. They work with large data sets and use advanced analytics techniques, including machine learning and artificial intelligence.
Business Analyst: Business Analysts bridge the gap between IT and business teams. They analyze business processes, identify improvement opportunities, and help implement data-driven solutions to enhance efficiency and productivity.
Market Research Analyst: Market Research Analysts gather and analyze data on consumer preferences, market trends, and competitor activities. They provide insights that help businesses develop marketing strategies and product offerings.
Data Engineer: Data Engineers design and maintain data pipelines that collect, process, and store data for analysis. They ensure the reliability and efficiency of data infrastructure, enabling organizations to access and utilize their data effectively.
Operations Analyst: Operations Analysts use data analysis to improve operational processes. They identify inefficiencies, develop optimization strategies, and implement changes to enhance productivity and reduce costs.
Financial Analyst: Financial Analysts use data to evaluate financial performance, forecast future financial trends, and provide investment recommendations. They analyze financial statements, market trends, and economic data to inform business decisions.
Management Consultant: Management Consultants use data analytics to advise organizations on business strategy, operational efficiency, and performance improvement. They provide data-driven recommendations to help clients achieve their business goals.
Big Data Analyst: Big Data Analysts specialize in analyzing large, complex data sets. They use advanced analytics tools and techniques to extract valuable insights from big data, supporting strategic decision-making.
Analytics Manager: Analytics Managers oversee teams of analysts and data scientists. They are responsible for managing analytics projects, ensuring data quality, and translating analytical insights into actionable business strategies.
Chief Data Officer (CDO): As a senior executive, the CDO is responsible for the organization’s data strategy, governance, and analytics initiatives. They ensure that data is effectively utilized to drive business growth and innovation.
