Master of Science in Business Analytics

نظرة عامة على البرنامج

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Master of Science in Business Analytics

Why Study Business Analytics?

In an age where data is the currency of business, becoming fluent in its language is indispensable. Our program is designed to empower you with the technical skills and business expertise needed to transform vast data sets into strategic assets. It’s not just about number crunching; it’s about crafting narratives and strategies from numbers that propel businesses forward. We provide the tools; you build the future.

What You'll Learn

Our program prepares you to navigate the waves of data that drive strategic decision-making across various business landscapes. You will learn to design compelling data visualizations that narrate a clear story, implement and maintain robust database systems to solve business problems, and apply statistical methods to glean actionable insights from large datasets. Additionally, you will hone your ability to create predictive models that forecast trends, spotlight opportunities, and signal potential risks, ensuring you are well-equipped to lead in an increasingly data-centric world.

Program Details

Program Requirements

View the core requirements for the Master of Science in Business Analytics at Columbia College.

Areas of Study

• Technical Communication and Python
• Managerial Analytics
• Database Systems: Introduction to Databases and Data Warehouses
• Data Visualization
• Spreadsheet Modeling for Analytics
• Big Data Fundamentals

Careers & Outcomes

Earning a master's degree in business analytics prepares you to build predictive models to anticipate trends, highlight opportunities, and identify potential risks in a variety of fields.

Where You Can Take Classes

At Columbia College, our flexible options make it easy to adapt to changing circumstances and pursue your education wherever life takes you. Many of our degrees are offered 100% online. If you prefer a traditional classroom experience, you can attend selected classes at our nationwide locations or at our main campus in Columbia, Missouri. Students at all locations will engage with multiple learning methods, including online and virtual while completing their degree.

Online Programs

• Alabama
• Alaska
• Arizona
• Arkansas
• California
• Colorado
• Connecticut
• D.C.
• Delaware
• Florida
• Georgia
• Hawaii
• Idaho
• Illinois
• Indiana
• Iowa
• Kansas
• Kentucky
• Louisiana
• Maine
• Maryland
• Massachusetts
• Michigan
• Minnesota
• Mississippi
• Missouri
• Montana
• Nebraska
• Nevada
• New Hampshire
• New Jersey
• New Mexico
• New York
• North Carolina
• North Dakota
• Ohio
• Oklahoma
• Oregon
• Pennsylvania
• Puerto Rico
• Rhode Island
• South Carolina
• South Dakota
• Tennessee
• Texas
• Utah
• Vermont
• Virgin Islands
• Virginia
• Washington
• West Virginia
• Wisconsin
• Wyoming

Classes Available In Seat

• Main Campus Graduate

مخطط البرنامج

Master of Science in Business Analytics at Columbia College

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Degree Overview:

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Overview:

The Master of Science in Business Analytics program at Columbia College equips students with the necessary technical skills and business expertise to navigate the vast data sets driving strategic decision-making across diverse business landscapes. This program empowers individuals to translate data into narratives and strategies that propel businesses forward.

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Objectives:

• Develop expertise in data analysis, visualization, and statistical modeling
• Gain proficiency in business administration and management principles
• Apply data-driven insights to real-world business challenges
• Leverage data to forecast trends, identify opportunities, and mitigate risks

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Outline:

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Program Content:

• Database systems and data warehouses
• Data visualization
• Spreadsheet modeling for analytics
• Big data fundamentals
• Technical communication and Python
• Managerial analytics

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Structure:

• Available online and at the residential campus in Columbia, Missouri
• Includes evening and day-time classes
• Employs a blend of learning methods, including online, virtual, and traditional classroom instruction

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Course Schedule:

• Varies depending on online or in-seat modality
• Detailed schedule information available on the program website

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Individual Modules:

• Database Systems: Introduction to Databases and Data Warehouses: Explores the fundamentals of data storage, retrieval, and management.
• Data Visualization: Delves into the art and science of effectively communicating insights through visual representations.
• Spreadsheet Modeling for Analytics: Provides hands-on experience with using spreadsheets for data analysis and modeling.
• Big Data Fundamentals: Introduces students to the concepts, technologies, and challenges associated with big data.
• Technical Communication and Python: Develops proficiency in Python programming language and its application to data analysis.
• Managerial Analytics: Bridges the gap between data and business decision-making by exploring various analytical techniques used by managers.

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Assessment:

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Assessment Methods:

• A combination of individual and group assignments, projects, exams, and presentations.

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Assessment Criteria:

• Depth of understanding of course concepts
• Ability to apply data analysis techniques to solve real-world problems
• Effectiveness of communication and data visualization
• Critical thinking and problem-solving skills

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Teaching:

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Teaching Methods:

• Interactive lectures, hands-on exercises, and practical projects
• Utilizes a variety of teaching tools and technology

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Faculty:

• Faculty members hold advanced degrees and possess significant industry experience.
• Dedicated to providing individualized attention and fostering student success.

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Unique Approaches:

• Emphasizes the practical application of data analysis and modeling
• Encourages real-world problem-solving and teamwork
• Fosters a collaborative and supportive learning environment

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Careers:

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Potential Career Paths:

• Data Analyst
• Business Analyst
• Market Research Analyst
• Business Intelligence Specialist
• Quantitative Analyst

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Career Opportunities:

Graduates are well-prepared for careers in various industries, including finance, healthcare, technology, consulting, and marketing.

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Career Outcomes:

Columbia College provides career services and resources to help graduates find employment opportunities and advance their careers.

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Other:

• The program offers a flexible schedule to accommodate working professionals.
• Financial aid options are available to eligible students.
• Students gain valuable skills and knowledge that can be applied across a wide range of industries and organizations.

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Conclusion:

The Master of Science in Business Analytics program at Columbia College is a comprehensive and rigorous program designed to prepare individuals for success in the data-driven business world. Its focus on practical application, industry-relevant skills, and career preparation ensures graduates are well-equipped to meet the growing demand for data analytics professionals.