Program Overview
The data science certificate prepares students for data-driven decision making, and deriving insights from data sets using the most up-to-date statistical methods, computational methods and analytic tools available. The program blends topics in statistical methods, statistical computing, machine learning and algorithm development to train students to become effective data scientists. The course list includes courses from Statistics and Computer Science. Additional skills that students will develop include the ability to work with large databases, and to manage and evaluate data sets and create meaningful output that can be used in effective decision making.
Requirements
Students must complete the required courses with a grade of "B" or better for each course. All courses must be taken through UMass Amherst.
Curriculum
CMPSCI 589/689 |
Machine Learning |
One or two of the following:
CMPSCI 514 |
Algorithms for Data Science |
CMPSCI 685 |
Introduction to Natural Language Processing |
CMPSCI 590S |
Systems for Data Science |
CMPSCI 590V |
Data Visualization and Exploration |
Two or three of the following:
STATISTIC 597A |
Computational Statistics |
STATISTIC 597S |
Introduction to Probability and Mathematical Statistics |
STATISTIC 607 |
Mathematical Statistics I |
STATISTIC 608 |
Mathematical Statistics II |
STATISTIC 697R |
Regression |
STATISTIC 705 |
Linear Models |