2019 - 2020
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 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 a research experience or 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 an approved summer experience. The detailed requirements are organized in three parts, as follows.
(a) First, students must complete the following 34 credits of core coursework:
|DA 101||Introduction to Data Analytics|
|CS 111||Discovering Computer Science: Scientific Data and Dynamics|
|or CS 112||Discovering Computer Science: Markets, Polls, and Social Networks|
|MATH 135||Single Variable Calculus|
|or MATH 145||Multi-variable Calculus|
|DA 200||Data Analytics Colloquium (once as a sophomore and once as a junior or senior, 2 credits total)|
|DA 210/CS 181||Data Systems|
|DA/MATH 220||Applied Statistics|
|DA 301||Practicum in Data Analytics|
|DA 350||Advanced Methods for Data Analytics|
|DA 401||Seminar in Data Analytics|
(b) Second, students must complete a DA summer experience (internship or research project). This experience must be approved by the Data Analytics Program Committee, and is normally undertaken during the summer before the senior year.
(c) Third, students must acquire some depth in a domain of Data Analytics. They will then carry this disciplinary knowledge into their summer experience and senior seminar. Students may satisfy this requirement in one of two ways. First, they may choose to take the designated set of courses from one of the following departments.
|Anthropology and Sociology (3 courses)|
|ANSO 100||People, Culture and Society|
|ANSO 343||Demography of Africa|
|or ANSO 347||Power in Society|
|ANSO 351||Survey Research Methods|
|Biology (4 courses)|
|BIOL 210||Molecular Biology and Unicellular Life|
|BIOL 220||Multicellular Life|
|BIOL 230||Ecology and Evolution|
|and one of the following:|
|Eukaryotic Cell Biology (Dr. Yoo only)|
|Special Topics (Biostatistics)|
|Economics (4 courses)|
|ECON 101||Introductory Macroeconomics|
|ECON 102||Introductory Microeconomics|
|ECON 302||Intermediate Microeconomic Analysis|
|ECON 467||Econometrics II (requires ECON 307 or DA 220/MATH 220)|
|Philosophy (3 courses)|
|PHIL 121||Ethics: Philosophical Considerations of Morality|
|or PHIL 126||Social and Political Philosophy|
|PHIL 210||Philosophy of Science|
|Physics (3 courses)|
& PHYS 122
|General Physics I|
and General Physics II
& PHYS 126
& PHYS 127
|Principles of Physics I: Quarks to Cosmos|
and Principles of Physics II
and Principles of Physics III
|PHYS 312||Experimental Physics|
|Political Science (3 courses)|
|POSC 201||Analyzing Politics|
|and any two of the following:|
|Doing Political Science: American Political Behavior|
|The Politics of Congress|
|Campaigns and Elections|
|Political Organizations in the U.S|
|Psychology (3 courses)|
|PSYC 100||Introduction to Psychology|
|PSYC 200||Research Methods and Statistics|
|PSYC 2XX/3XX||Psychology elective (except research courses, 370, 410, 361-364, 451-452)|
Alternatively, a student may submit an individualized 3-4 course domain elective plan, which must include at least one analytics-intensive course, to be considered for approval by the Data Analytics Program 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
Data Analytics majors wishing to study abroad should do so in the spring semester of their junior year. Data Analytics courses are not normally taken at other institutions, although on rare occasions, a suitable substitute may be found for DA 350 - Advanced Methods for Data Analytics.
If a student uses AP credit to skip a course in their chosen domain area, that course must be replaced with a suitable substitute, determined in cooperation with the appropriate department.
We recommend that students who wish to acquire deeper technical skills in data analytics and/or prepare for graduate work in data science, take additional courses in Mathematics and Computer Science. In Mathematics, students should begin by taking MATH 145 - Multi-variable Calculus and MATH 213 - Linear Algebra and Differential Equations. In Computer Science, students may take CS 173 - Intermediate Computer Science, CS 234 - Mathematical Foundations of Computer Science, and CS 271 - Data Structures. Beyond these, students may pursue additional advanced courses such as
|CS 337/MATH 415||Operations Research|
|CS 339||Artificial Intelligence|
|CS 345||Parallel Systems and Programming|
|CS 377||Database Systems|
|MATH 425||Applied Probability|
|MATH 435||Mathematical Modeling|
Students may also pursue a minor or second major in Computer Science or Mathematics. Due to some course overlaps, these options require only 6-7 additional courses.