The USC Marshall MSBA program is a data science STEM program with a business lens. It is one of the longest running MSBA programs in the nation, and top ranking in the world. The program emphasizes project-based learning in the classroom, so our students acquire deeper business analytics knowledge through active exploration of real-world business challenges and problems. These projects are in collaboration with our industry partners, and cover a range of business areas including finance, operations, marketing, management, supply chain, and HR.
USC MSBA's Three Pillars
1
Computer Science
2
Statistics, Machine Learning, Optimization
3
Business Strategy
Skills You'll Gain
Programming
- Data Cleaning
- Data Wrangling
- Data Visualization
- Web Scrapping
- Database Management
- Python (Main Language of Study)
- R
- SQL
- NoSQL
Statistics & Machine Learning
- Probability Distributions
- Inferential Statistics
- Supervised Learning Methods (linear regression, logistic regression, lasso, ridge regression, decision trees, LDA, QDA, KNN, PCR, neural networks, random forests, SVM)
- Unsupervised Learning Methods (k-means, hierarchical clustering)
- Deep learning (CNN, RNN, LSTM, GAN)
Optimization Methods
- Simulation Models
- Linear
- Non-linear
- Discrete
- Dynamic optimization
Business Specialization
- Marketing Analytics
- Fraud Analytics
- Operations Analytics
- Game Analytics
- Time-Series Analytics
- Healthcare Analytics
- Supply Chain Analytics
- Pricing Strategies
- Text Analytics & Natural Language Processing
Soft Skills
- Business Communication
- Dashboarding
- Consultation
- Collaboration
- Strategy
- Problem Solving
- Problem Framing