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COVID-19 Considerations for MSBA Prospective Students

No changes have been made to deadlines, decision dates, program start dates, policies or requirements due to COVID-19 at this time. We are updating our applicants via email, our website and are working with them on an individual basis to address any concerns.

The UCLA Anderson MSBA curriculum is solidly based on the business school paradigm of merging theory and principle with up-to-the-minute business practice. While MSBA programs are available at many universities, UCLA Anderson is one of the few top-tier business schools worldwide to offer the MSBA degree. Our dynamic curriculum, taught by world-renowned faculty, merges technical and theory-based pedagogy with practical immersion through a summer internship and a corporate-sponsored Capstone: Applied Analytics Project (AAP).
Course Schedule
Earn 48 units through coursework and the hands-on Capstone Analytics Project.
Course Description
Our curriculum is solidly based on the business school model.
Capstone Analytics Project
Tackle a practical, real-world business analytics problem.
Course Schedule
 

All MSBA classes are held on campus at UCLA (Fall #1, Winter, Spring, and Fall #2). The summer is dedicated to a 4-unit internship. During the second quarter, students may continue their internship or begin a new one on a part-time basis, or participate in a capstone consulting project supervised by an Anderson faculty member.

2020 New Fall Curriculum
 

2020 New Fall Curriculum

UCLA Anderson MSBA Class of 2023 will begin fall courses on September 23, 2022.

Fall #1

September– December
 

Statistical Foundations for Analytics (R)

R Programming Essentials

SQL and Basic Data Management

Optimization

Winter

January – March
 

Business Fundamentals for Analytics

Data Management

Prescriptive Models

Industry Seminar – I

Spring

March – June
 

Customer Analytics

Competitive Analytics

Operations Analytics

Fall

September – December
 

Capstone Analytics Project

*Advanced Workshop on Machine Learning

*Data Visualization

*Entertainment Analytics

*Fraud Analytics

*Forecasting and Time Series

*Internet Customer Analytics

*Healthcare Analytics

Final project presentations and graduation

*Elective Examples
Fall #1 Winter Spring Summer Fall #2
September – December January – March March – June June – September September – December

Statistical Foundations for Analytics (R)

Business Fundamentals for Analytics

Customer Analytics

Summer Internship (8-10 weeks in length)

Capstone Analytics Project

Python Workshop**

Data Management

Competitive Analytics

*Internet Customer Analytics

Optimization (Python)**

Prescriptive Models

Operations Analytics

*Entertainment Analytics

SQL & Basic Data Management**

Industry Seminar – I

Industry Seminar – II

*Healthcare Analytics

Machine Learning for Decision Making (Python)**

*Advanced Workshop on Machine Learning

MSBA Career Curriculum (Co-curricular)

*Data Visualization

*Fraud Analytics

*Forecasting and Time Series

Final project presentations and graduation
*Elective Examples
**Five week courses
Capstone Analytics Project
 
The Applied Analytics Project (AAP) gives MSBA candidates the opportunity to apply knowledge acquired through MSBA coursework to solve a practical, real-world business analytics problems. By partnering with a corporate client, students develop and showcase their knowledge of business analytics, hone their communication skills and delve more deeply into an area of interest beyond the classroom.
4
Students per Team
1
High Growth Company
1
Academic Quarter Research Project
1
Research Report

AAP projects concentrate on such areas as programming and data management methods, model development and construction, business analytics and industry applications, and are sponsored by top organizations. Students interact directly with clients, gaining valuable exposure to potential employers and broadening their professional networks.

Course Descriptions
 

Career Curriculum

Statistical Foundations for Analytics (R)

Machine Learning for Decision Making

SQL and Basic Data Management 

Optimization 

Business Fundamentals for Analytics 

Data Management 

Prescriptive Models & Data Analytics 

Operations Analytics 

Competitive Analytics 

Customer Analytics 

Internship: Fieldwork/Research in Business Analytics

Internet Customer Analytics 

Healthcare Analytics

Entertainment Analytics