The programme aims to produce data-analytic and business-aware graduates to meet the growing demand for high-level data science skills and to prepare graduates to apply data science techniques to knowledge discovery and dissemination in organizational decision-making. It is also intended to help established data analytic professionals upgrade their technical management and development skills and to provide a solid path for students from diverse fields to rapidly transition to data science careers.
Course Description
Core Courses (15 credit units)
- Exploratory Data Analysis and Visualization
- Research Projects for Data Science
- Statistical Machine Learning I
- Statistical Machine Learning II
- Storing and Retrieving Data
Electives (15 credit units)
- Bayesian Data Analysis
- Data Analytics for Smart Cities
- Dynamic Programming and Reinforcement Learning
- Experimental Design and Regression
- Information Security for eCommerce
- Machine Learning
- Machine Learning at Scale
- Natural Language Processing
- Optimization for Data Science
- Privacy-enhancing Technologies
- Storing and Retrieving Data
- Time Series and Panel Data
