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Mathematics, B.S.
Program or Degree

Management, Business Analytics Concentration, M.S.

Program overview

The Business Analytics concentration prepares students to transform data into actionable insights that support strategic decision-making and drive organizational success. You will develop expertise in predictive modeling, data mining, data visualization, and business intelligence tools while learning how to analyze complex datasets and identify meaningful trends. Through hands-on experience with emerging technologies and analytics techniques, you’ll gain the skills to solve real-world business challenges, optimize performance, and make data-driven decisions that create value across a variety of industries.

PROGRAM LEARNING OBJECTIVES

PLO 1: Demonstrate an understanding of, and evaluate the appropriate use of management processes, concepts, and methodologies.
PLO 2: Examine professional ethics considering legal, organizational, and societal responsibilities. Integrate ethical thinking into all aspects of decision making.
PLO 3: Discuss the significant influences of management in personal, organizational, and societal contexts while articulating the challenges and benefits of managing business activities in a global and diverse world.
PLO 4: Communicate effectively in written and oral form with a range of audiences to present ideas, decisions, and recommendations on business issues.
PLO 5: Employ advanced knowledge including methods, technology, skills, and values in their fields to critically interpret and utilize information.

PROGRAM REQUIREMENTS

Code

Title

Credits

ACC-6650

Accounting for Managers

3

BAN-6001

Business Analytics for Managers

3

FIN-6001

Corporate Finance

3

MGT-6001

Organization and Strategy

3

MKT-6001

Marketing for Managers

3

IT-6001

Information Systems for Managers

3

MGT-6998/MGT-6990 taken each semester can substitute for 6998

Capstone Project

3

PM-6000

Fundamentals of Project Management

3

BAN-6002

Predictive Analytics

3

BAN-6003

Data Mining

3

BAN-6300

Emerging Issues of Technology in Analytics

3

 

Total Credits

33

CURRICULUM HIGHLIGHTS

The Master of Science in Management (Business Analytics) curriculum integrates advanced analytical methods with core business management principles to prepare students for data-driven decision-making in modern organizations. Students develop skills in statistical analysis, data visualization, predictive modeling, and business intelligence, learning how to transform complex data into meaningful insights that support strategic planning and operational improvement.

The program emphasizes the practical application of analytics across key areas of business, including marketing, finance, operations, and organizational strategy. Through project-based learning and collaborative work, students gain experience using analytical tools and technologies while strengthening their ability to communicate findings effectively to diverse stakeholders. The curriculum also encourages critical thinking and ethical decision-making in the responsible use of data to guide organizational innovation and performance.

CAREER OPPORTUNITIES

📊 Business Analyst – You will analyze business data to identify trends and recommend strategies that improve organizational performance.

📈 Data Analyst – You will organize and interpret data to support evidence-based decision-making across business functions.

💼 Business Intelligence Analyst – You will develop dashboards and reporting tools that help organizations understand and act on key data insights.

📉 Operations Analyst – You will evaluate business processes and use data to improve efficiency and operational effectiveness.

📊 Marketing Analytics Specialist – You will analyze consumer data and market trends to guide marketing strategies and customer engagement.

🏢 Management Consultant – You will advise organizations on data-driven strategies to improve performance, innovation, and competitive advantage.

💻 Analytics Project Manager – You will lead teams that design and implement analytics solutions for business challenges.

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