# Recommended Learning Paths
## MTH Student Academy

| Pathway | Course Sequence |
|---------|-----------------|
| **Engineering** | MTH 101 -> MTH 102 -> MTH 201 -> MTH 301 -> MTH 404 |
| **Data Science / AI** | MTH 101 -> MTH 102 -> MTH 202 -> MTH 204 -> MTH 401 |
| **Finance / Economics** | MTH 101 -> MTH 102 -> MTH 204 -> MTH 302 -> MTH 403 |
| **Computer Science** | MTH 101 -> MTH 203 -> MTH 202 -> MTH 204 -> MTH 405 |

### Path Descriptions

**The Engineering Path**
Focuses on continuous mathematics, calculus, and differential equations. This sequence builds the tools needed for mechanics, electromagnetics, and systems control.

**The Data Science & AI Path**
Prioritizes linear algebra and probability. These are the twin pillars of modern machine learning, optimization, and statistical modeling.

**The Finance & Economics Path**
Combines calculus with rigorous statistics and interest theory. Ideal for students moving into quantitative finance, actuarial science, or economic research.

**The Computer Science Path**
Emphasizes discrete structures, logic, and numerical methods. This path supports algorithm design, complexity analysis, and computational scientific modeling.