Degree Requirements

2019 - 2020

Program Guidelines and Goals

Global connectivity and innovative technologies generate vast amounts of information that contribute to our understanding and evaluation of nature, human behavior, institutions, society, and beyond. This explosion of evidence to present and address problems is informing major decisions in academe, government, and the private sector. Those with an ability to work with quantitative and qualitative data, big and small, to identify puzzles, consider probing questions, evaluate claims, make inferences, and posit answers will be well positioned to expand knowledge, influence policy, and to be decision makers of the future.

The major in data analytics will provide you with a solid core of mathematics and computer science, followed by four specially designed data analytics courses. All of these courses are project-based, employing analytic methods, as well as ethics and interdisciplinary research skills, practiced in a variety of application domains. In addition, you will take the skills learned in the classroom and practice them in an internship in a professional setting, and then pursue a capstone project informed by this experience.

Data Analytics Major

The major in Data Analytics (DA) requires a minimum of 46 credits of coursework and a community practicum/internship experience, normally undertaken in the summer before the senior year.

The complete requirements are:

DA 101Introduction to Data Analytics
CS 111Discovering Computer Science: Scientific Data and Dynamics
or CS 112 Discovering Computer Science: Markets, Polls, and Social Networks
MATH 135Single Variable Calculus
or MATH 145 Multi-variable Calculus
CS 181Data Systems
MATH 220Applied Statistics
DA 200Data Analytics Colloquium (1 credit), once as a sophomore and once as a junior or senior)
DA 301Practicum in Data Analytics
DA 350Advanced Methods for Data Analytics
DA 401Seminar in Data Analytics
Data analytics internship (approved by the Data Analytics Committee)
In addition, choose three or more electives from one of the participating departments, including at least one quantitative methods course. The purpose of these electives is to give students disciplinary knowledge that they can carry into their internship and senior seminar.
A student may satisfy these electives in one of two ways. First, a student may concentrate their electives in one of the following disciplines by taking all of the courses for that discipline, as listed below.
Anthropology and Sociology (3 courses)
ANSO 100People, Culture and Society
ANSO 351Survey Research Methods
ANSO 343Demography of Africa
or ANSO 347 Power in Society
Biology (4 courses)
BIOL 210Molecular Biology and Unicellular Life
BIOL 220Multicellular Life
BIOL 230Ecology and Evolution
BIOL 356Special Topics (Biostatistics)
or BIOL 309 Computational Biology
or BIOL 345 Eukaryotic Cell Biology
(Eukaryotic Cell Biology - Dr. Yoo only)
Economics (4 courses)
ECON 101Introductory Macroeconomics
ECON 102Introductory Microeconomics
ECON 302Intermediate Microeconomic Analysis
ECON 467Econometrics II (requires ECON 307 or MATH 220)
Philosophy (3 courses)
PHIL 121Ethics: Philosophical Considerations of Morality
or PHIL 126 Social and Political Philosophy
PHIL 205Logic
PHIL 210Philosophy of Science
Physics (3 courses)
PHYS 121
& PHYS 122
General Physics I
and General Physics II
PHYS 125
& PHYS 126
& PHYS 127
Principles of Physics I
and Principles of Physics II
and Principles of Physics III
PHYS 312Experimental Physics
Political Science (3 courses)
POSC 201Analyzing Politics
Any two of:
POSC 213
Doing Political Science: American Political Behavior
POSC 307
The Politics of Congress
POSC 309
Campaigns and Elections
POSC 311
Political Organizations in the U.S
Psychology (3 courses)
PSYC 100Introduction to Psychology
PSYC 200Research Methods and Statistics
PSYC 2XX/3XX (except research courses, 370, 410, 361-364, 451-452)

Alternatively, a student may submit an individualized 3-4 course elective plan, which must include at least one analytics-intensive course, to be considered for approval by the Data Analytics Committee.  A successful one-page proposal will clearly describe the student’s desired learning goals and how the proposed courses together achieve these goals.  The proposal should also demonstrate the feasibility of completing the proposed courses in the time remaining before graduation.  Proposals must be submitted prior to the end of the sophomore year.

Additional Points of Interest

Students who want to acquire deeper technical skills in data analytics may take additional advanced courses such as MATH 145 - Multi-variable CalculusMATH 213 - Linear Algebra and Differential EquationsCS 173 - Intermediate Computer ScienceCS 271 - Data StructuresMATH 435 - Mathematical ModelingCS 337 - Operations ResearchMATH 415 - Operations Research, and CS 339 - Artificial Intelligence. Students may also pursue a second major in Computer Science or Mathematics. Due to some course overlaps, these options require only 6-7 additional courses.

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