Whether you are interested in analyzing consumer transactions, tweets, call data records, or creating stunning visualizations, you will find that the concepts and techniques covered in our Data Science program will be employable in the workforce or a foundation for graduate studies.
About the Data Science Area of Concentration
Data Science is an interdisciplinary field formed from the amalgamation of Computer Science, Statistics and Mathematics that aims to solve complex problems by revealing information hidden in large datasets known as Big Data. As today’s businesses and IT systems continue to produce massive and ever-increasing amounts of digital data, the need for Data Scientists is greater than ever.
The area of concentration starts with courses that form the foundational knowledge and skills in mathematics, statistics, computer programming, databases and data munging, followed by more advanced courses on statistical models, algorithms, distributed computing, software engineering and machine learning. Students will then complete a senior thesis in data science in any domain of their interest. They can also pursue an interdisciplinary area under the supervision of one or more faculty.
Applied Machine LearningDST 4007
- Algorithms for Data Science
- Applied Machine Learning
- Distributed Computing for Data Science
- Distributed Systems for Data Science
- Data Scientist
- Machine Learning Engineer
- Applications Architect
- Data Architect
- Business Intelligence Developer
- Data Analyst