Curriculum

ASDS Program = Applied Statistics + Machine Learning + Programming

 

First Semester: Basic Mandatory Courses

  • Basic Math for Applied Statistics and Data Science (the necessary minimum of Calculus, Linear Algebra and Probability)
  • Optimization for ML
  • Applied Statistics with R
  • Econometrics (Linear Statistical Models)
  • Python Programming – 1
  • Introduction to Data Science
  • R programming
  • English Language

Second Semester: Core Mandatory Courses

  • Bayesian Statistics
  • Time Series Analysis
  • Data Mining
  • Big Data Analysis
  • Machine Learning – 1
  • Python Programming – 2
  • Data Visualization

Third Semester: Core and Elective Courses

  • Core Courses:
    • Multivariate Statistics
    • Machine Learning – 2
    • Deep Learning
    • Digital Signal Processing
    • Computer Vision
  • Electives:
    • ML for HealthCare
    • Natural Language Processing
    • Statistical Analysis of Financial Data
    • Statistical Software (SAS)
    • Stochastic Calculus

Fourth Semester: Industry Internship and Master Thesis Preparation