Data Science, BS

Foundational Courses

All of the following courses are required, except as noted.

• CMPINF 0401 - INTERMEDIATE PROGRAMMING
• CS 0445 - ALGORITHMS AND DATA STRUCTURES 1
• MATH 0220 - ANALYTIC GEOMETRY AND CALCULUS 1
• MATH 0230 - ANALYTIC GEOMETRY AND CALCULUS 2

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• MATH 0280 - INTRO TO MATRICES & LINEAR ALG or
• MATH 1180 - LINEAR ALGEBRA 1

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• MATH 0480 - APPLIED DISCRETE MATHEMATICS or
• CS 0441 - DISCRETE STRUCTURES FOR CS

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• STAT 1060 - DATA SCIENCE FOUNDATIONS or
• CMPINF 1061 - FOUNDATIONS OF DATA SCIENCE

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• STAT 1151 - INTRODUCTION TO PROBABILITY or
• STAT 1631 - INTERMEDIATE PROBABILITY

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• STAT 1152 - INTRODUCTION TO MATHEMATICAL STATISTICS or
• STAT 1632 - INTERMEDIATE MATHEMATICAL STATISTICAL

Expertise Courses

All of the following courses are required, except as noted.

• CS 0590 - SOCIAL IMPLICATIONS OF COMPUTING TECHNOLOGY
• CS 1501 - ALGORITHMS AND DATA STRUCTURES 2
• CS 1656 - INTRODUCTION TO DATA SCIENCE
• MATH 1101 - AN INTRODUCTION TO OPTIMIZATION
• STAT 1261 - PRINCIPLES OF DATA SCIENCE

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• STAT 1361 - STATISTICAL LEARNING AND DATA SCIENCE or
• CS 1675 - INTRODUCTION TO MACHINE LEARNING

Specialization

Students will have the opportunity to pursue an area of specialization through the selection of elective courses in one of the targeted directions - Data Analytics, Modeling, or Computer Systems. Students should select three courses from the same category for optimum focus. However, students may choose courses from across the categories to suit their interests.

Capstone

Select a capstone course, relevant to the chosen specialization, from the following list.

• INFSCI 1740 - TEAM-BASED CAPSTONE PROJECT
• MATH 1103 - MATHEMATICAL PROBLEMS IN BUSINESS, INDUSTRY, AND GOVERNMENT
• STAT 1961 - STATISTICAL DATA SCIENCE IN ACTION
• Any faculty-guided research project, subject to approval by the Data Science program director(s).

Grade Requirements

Students must earn at least a C grade in each course required for the major.

Writing requirement

The writing requirement for Dietrich School students will be fulfilled by enrollment in the writing-intensive course  CS 0590 - SOCIAL IMPLICATIONS OF COMPUTING TECHNOLOGY .

Sample Plans of Study

Below are two sample plans of study for students in the Data Science Major. Note that there are many paths through the Data Science majoe and any student’s path may differ from those shown below.

The first plan is typical of students desiring an introductory programming course.

*Class only offered in term listed. All other classes are offere in both Fall & Spring terms

^Also counts towards SCI General Education Requirements

+Also countes towards Computer Science major requirements.

The second plan is typical for students who enter the University having completed an introductory programming course.

*Class only offered in term listed. All other classes are offered in both Fall & Spring terms

^Also counts towards SCI General Education Requirements

+Also counts towards Computer Science major requirements.