Academics

Build a Foundation in Data Science

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MSBA ACADEMICS

Introduction to Academics

Our Master of Science in Business Analytics (MSBA) program is designed to provide a strong foundation in modern data science to solve critical business challenges. The STEM Certified (36-month Optional Practical Training) program was strategically built with flexible curricular tracks, leveraging three areas of training in Data Management, Analytics Methods, and Business Context to bring a strategic advantage to businesses across all industries. Taught by world-class faculty, students will learn to extract business value in the real-world application through our industry-partnered Capstone Project.

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My favorite class was Machine Learning because I felt that it provided me with the fundamental knowledge to understand many of the predictive models used in the industry today. The program faculty is well versed with the leading analytics technologies and are also engaged in their own cutting-edge research, often citing examples of their work in classroom lectures.

Shrey Chawla MSBA '23
Business Analyst
Edwards Lifesciences

Capstone Project

The program integrates class learning with real-world experience through a 6-month capstone project. Students collaborate in teams with Fortune 500 companies across various industries—such as social media, sports, consulting, finance, and entertainment—to solve real data science challenges. Guided by faculty, students manage projects from start to finish, gaining hands-on experience while enhancing their business analytics and communication skills.

Work on Real-World Problems

Learn from professionals at top firms

Fortune 500

Work with global companies in leading industries

Invaluable Mentorship

Guidance from world-class faculty and industry partners

Program Structure

Students must complete at least 52 units of coursework over 4 or 5 quarters. The number of units in the table is shown in parentheses.

Four Quarters

Summer

  • Foundations of Business Analytics (2)
  • Statistics for Data Science (4)
  • ProSeminar (0)

Fall

  • Foundations of Marketing (4)
  • Data and Programming for Analytics (4)
  • Machine Learning for Analytics (4)
  • ProSeminar (0)

Winter

  • Management Science for Analytics (4)
  • Customer and Social Analytics (4)
  • Capstone Prep (2)
  • Electives (8)
  • ProSeminar (0)

Spring

  • Capstone Project (4)
  • Electives (12)
  • ProSeminar (0)

Five Quarters

Summer

  • Foundations of Business Analytics (2)
  • Statistics for Data Science (4)
  • ProSeminar (0)

Fall

  • Foundations of Marketing (4)
  • Data and Programming for Analytics (4)
  • Machine Learning for Analytics (4)
  • ProSeminar (0)

Winter

  • Management Science for Analytics (4)
  • Customer and Social Analytics (4)
  • Capstone Prep (2)
  • Elective (4)
  • ProSeminar (0)

Spring

  • Capstone Project (4)
  • Electives (8)
  • ProSeminar (0)

Summer

  • Electives (8)

 

 

 

 

 

Three Flexible Tracks

This program incorporates flexible curricular tracks aligned with career paths in three business analytics contexts:

Data Analytics

  • Actuaries
  • Database administrators
  • Financial analysts
  • Information security analysts
  • Management analysts
  • Survey researchers

Marketing Analytics

  • Market research analysts
  • Marketing specialists
  • Marketing managers
  • Sales managers
  • Survey researchers

Operations Analytics

  • Analytics specialist
  • Financial analysts
  • Management analysts
  • Operations research analysts
  • Statisticians
  • Transportation, storage and distribution managers

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Elective Courses

Customize your path with specialized electives.

Elective courses allow students to tailor their education to specific interests and career goals, offering advanced topics such as big data and cloud computing, advanced machine learning, supply chain analytics, technologies and analytics consulting, marketing analytics, natural language processing and applications, and the art and science of applied forecast modeling. These courses provide an opportunity for deeper specialization and practical experience.

BANA 271

Marketing Analytics

BANA 273

Machine Learning for Analytics

BANA 275

Natural Language Processing and Applications

BANA 279

Business Data Management

BANA 285

Supply Chain Analytics

BANA 287

Art & Science of Applied Forecast Modeling

BANA 288

Predictive Analytics

BANA 290

Special Topics in Analytics

BANA 290 (Special Topic)

Technologies & Analytics Consulting

BANA 295

Big Data Management Systems

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Our advisors are here to guide you through the process. Connect with us today and discover how UC Irvine’s MSBA program can help you take the next step in your professional journey.