Data science is a multidisciplinary field that uses statistics, mathematics, and computer science in order to extract significant information from various forms of data. Over the last decade it has become a very crucial topic for many industries: finance, insurance, healthcare, energy, web analytics, cybersecurity are some of them among many others.
The list of possible elective courses in this specialized area is not limited to the list below; and the list is expanded on a continuing basis; courses not in the list can be accepted as elective subject to the approval of the student's adviser.
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- IAM526 - Time Series Applied to Finance
- IAM528 - Markov Decision Processes
- IAM530 - Elements of Probability and Statistics
- IAM557 - Statistical Learning and Simulation
- IAM757 - Special Topics: Monte Carlo Methods in Finance and Insurance
- IAM760 - Special Topics: Model Order Reduction
- IAM768 - Special Topics: Methods and Applications of Uncertainty Quantification
- IAM771 - Special Topics: Optimization Methods for Machine Learning
- CENG514 - Data Mining
- CENG561 - Artificial Intelligence
- CENG562 - Machine Learning
- CENG574 - Statistical Data Analysis
- CENG770 - Advanced Data Mining
- CENG793 - Deep Learning
- CENG785 - Algorithmic Trading and Quantitative Strategies
- CENG793 - Advanced Deep Learning
- IS503 - Data Base Concepts and Applications
- IS580 - Knowledge, Discovery and Mining
- IS787 - Big Data
- MMI727 - Deep Learning : Methods and Applications
- ECON507 - Econometric Methods I
- ECON508 - Econometric Methods II
- ECON645 - Applied Nonlinear Time Series Analysis
- ECON680 - Time Series Econometrics
- ECON685 - Topics in Time Series Econometrics
- BA6505 - Applied Regression Analysis
- BA6506 - Applied Multivariate Analysis
- BA6507 - Applied Time Series and Panel Data Analysis
- STAT525 - Regression Theory and Methods
- STAT559 - Applied Multivariate Analysis
- STAT560 - Logistic Regression Analysis
- STAT561 - Panel Data Analysis
- STAT562 - Univariate Time Series Analysis
- STAT563 - Multivariate Time Series Analysis
- STAT564 - Advanced Statistical Data Analysis
- STAT612 - Advanced Topics in Time Series Analysis
- STAT620 - Bayesian Inference
- STAT728 - Joint Analysis of Mixed Discrete Continuous Data: Methods and Applications
- STAT729 - Modern Data Analysis: From Hidden Markov Models to Statistical Learning
- IE460 - Introduction to Data Mining
- EE583 - Pattern Recognition
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