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:
Required
CMPSCI 589/689       Machine Learning

One or two of the following:
CMPSCI 585/685       Introduction to Natural Language Processing          
CMPSCI 590V            Data Visualization and Exploration
CMPSCI 590S            Systems for Data Science
CMPSCI 590D            Algorithms for Data Science

Two or three of the following:
STATISTIC 597A        Computational Statistics
STATISTIC 697R        Regression
STATISTIC 597S        Introduction to Probability and Mathematical Statistics
STATISTIC 607          Mathematical Statistics I
STATISTIC 608          Mathematical Statistics II
STATISTIC 705          Linear Models