Knowledge of mathematics, statistics, probability, and Python programming are fundamental to be successful in your MScFE studies. Below is a series of open access (free) external resources including short courses, video lectures, individual lessons, as well as various advanced courses covering these topics.

Make sure you use these resources to prepare for the Quantitative Proficiency Test as well as at any time throughout your studies if you find yourself struggling in any Program course. Proficient knowledge of these foundational topics helps you solve any financial problems presented in the program.

**College Algebra**

Missouri State University: Lecture Series (36 videos, 40 minutes each)

**Linear Algebra**

MIT Open Courseware: Videotaped Lectures (34 videos, 23h total)

**Probability**

MIT OpenCourseWare: Course (15 weeks)

**Statistics**

Geek Flare: Statistics for Data Science (20 courses, variable length)

Youtube channel - 365 Data Science (Multiple videos, variable length)

**Differential Calculus**

The Organic Chemistry Tutor: Understand Calculus (35 minutes)

Khan Academy: Full Course (6 units)

**Integral Calculus**

Khan Academy: Full Course (6 units)

MIT Open Courseware: Calculus Courses (variable length)

**Differential Equations**

Youtube channel - The Math Sorcerer: Lecture series (26 videos, 30h total)

MIT OpenCourseWare: Video series (55 videos)

MIT OpenCourseWare: Videotaped Lectures (33 videos, 27h total)

**Discrete Mathematics**

**Python Programming**

Youtube channel - Traversy Media: Multiple Videos

Youtube channel - CS Dojo: Python for beginners (Multiple videos)

Youtube channel -Derek Banas (Multiple videos)

Youtube channel - thenewboston (Multiple Videos)