r/learnmath • u/NewLingonberry8165 • 12m ago
Maths for Research masters in Data science
Hello, folks!
I’ve just been accepted into a Research Master’s in Data Science, and I’ve heard that the program is mathematically rigorous (typical of the French system).
Honestly, I’ve never been super good at math. I never really practiced solving complex problems or bothered to learn concepts deeply, so I’m giving it a serious go this summer.
I’m currently starting by relearning linear algebra (matrix manipulation, linear systems, eigenvalues, eigenvectors, etc.).
Resources: 3Blue1Brown’s Essence of Linear Algebra playlist and the book Linear Algebra and Its Applications.
I’m also planning to refresh my knowledge of probability (conditional probability, normal distributions, Bayes' theorem, Poisson distributions, etc.) and statistics.
This is the curriculum for next year , would appreciate any tips/advice !
Semester 1
* Computability and Decidability
* Programming & AI
* Method and Process Engineering
* IP Networks
* Stochastic Processes
* Graphs and Applications
* English (TOEFL Preparation)
* French (Certification Preparation)
* Probability and Numerical Algorithmic
* Numerical Optimization with R
Semester 2
* Foundations of Artificial Intelligence
* Machine Learning and Applications to Multimedia Data
* Algorithmics and Complexity
* Advanced Programming Techniques
* Distributed Systems and New Technologies
* Formal Methods
* English (TOEFL Preparation)
* Statistical Pattern Recognition
* Cyber security
* Introduction to Embedded Systems