Data Science, B.S.

Core Courses

Clark University’s Data Science program includes statistical analysis, machine learning, data visualization, and programming. These foundational classes ensure students develop essential skills to tackle real-world data challenges effectively.

Data Science core courses

DSCI 105 – Applied Data Analytics

An investigation into the fundamental techniques and practices of data analysis, this course focuses on applying tools and techniques to practical problems of analysis, visualization, and discovery.

DSCI 122 – Mathematical Foundations of Data Science

This course provides an introduction to the key mathematical principles underlying data science. The course focuses on linear algebra, probability, statistics, and calculus, as these areas are crucial for understanding.

DSCI 125 – Introduction to Data Science

This course provides foundational knowledge in statistical and computational concepts essential for data-centered computing and its applications.

DSCI 215 – Applying Deep Learning to Earth Observation

Applying Deep Learning to Earth Observation delves into the application of deep learning techniques to analyze and interpret data from Earth observation systems.

DSCI 216 – Stochastic Computing

Stochastic Computing focuses on addressing the uncertainty inherent in data science and computer science through a combination of problem analysis, theoretical development, and prototype creation.

DSCI 225 – Applied Machine Learning

Applied Machine Learning explores the fundamental techniques and practices of machine learning through a series of lectures, lab sessions, programming projects, and written assignments.

Computer Science foundational courses

CSCI 120 – Introduction to Computing

Introduction to Computing is a foundational course designed to develop computational problem-solving skills through programming while introducing students to various essential topics in computer science.

CSCI 121 – Data Structures

Data Structures provides a comprehensive introduction to the fundamental data structures used in computer science. The course covers a range of data structures including arrays, linked lists, stacks, queues, trees, and graphs.

CSCI 124 – Honors Introduction to Computing

Honors Introduction to Computing is an accelerated course that provides a comprehensive introduction to computing and its diverse applications.

Mathematics foundational courses

MATH 120/MATH 124  (Calculus I)

Calculus I is often the first course in a standard calculus sequence and typically covers topics such as limits,derivatives, and integrals. It is a foundational course for understanding calculus.

MATH 121/MATH 125 (Calculus II)

Calculus II, typically referred to as MATH 121, is the second course in a standard calculus sequence. It builds upon the concepts introduced in Calculus I, such as limits, derivatives, and integrals, and dives deeper into their applications and extensions.