The data analytics track is offered in conjunction with the ISTD pillar and focuses on data driven decision-making. ESD students take a selection of ESD electives and ISTD courses to better understand the interaction between data, models, and decisions.
The data analytics track will include aspects of computation and programming, which are central competencies required for manipulation and analysis of large scale data. ESD has worked closely with ISTD to ensure that the following ISTD courses will be approachable to ESD students even without the stated prerequisites for the course. Students interested in pursuing the business analytics focus track should contact the course instructor if they have concerns.
- 50.007 Machine Learning
- 40.220 The Analytics Edge
Select one from:
- 50.004 Introduction to Algorithms
- 50.008 Database
- 50.021 Artificial Intelligence
Note that 50.007, 50.004 and 50.008 are all offered in the Sept-Dec term. Because the nominal ESD schedule has only a single elective and 50.007 (as a required course for the focus track) fills this elective slot, students wishing to take 50.004 or 50.008 should work closely with a faculty advisor.
40.220 The Analytics Edge
The increasing availability of data is changing the way organizations are thinking about themselves and...
50.004 Introduction to Algorithms
This is an introductory course to mathematical modeling of computational problems, as well as common...
50.007 Machine Learning
Machine learning is the study of algorithms that improve their performance at some task with...
Introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and...