Data Science


See the course catalog for complete course descriptions.

Minor in Data Science
  • One course in Statistics from:
    • MAT52-114 Introduction to Statistics
      This course provides students in the social and biological sciences with the skills necessary to perform elementary statistical analysis. Topics include descriptive measures, probability, sampling theory, random variables, binomial and normal distributions, estimation and hypothesis testing, analysis of variance, regression and correlation. This course may not be used for the Mathematics major or minor. (Fall, Spring) (NS)
    • MAT52-574 Probability and Mathematical Statistics
      This course is a calculus-based, mathematical introduction to the fundamental principles of probability theory and applications. Topics include combinatorial analysis used in computing probabilities, the axioms and properties of probability, conditional probability, independence of events, discrete and continuous random variables, the standard distributions, expected value and variance, joint distributions, distributions of a function of a random variable, and sampling distributions. Also included are theoretical results such as Bayes Theorem, Central Limit Theorem, Law of Large Numbers, the Empirical Rule, Hypothesis Testing and Confidence intervals at least for a single mean and a single proportion . Prerequisite: Mathematics 52-254. (Spring) (NS)
  • One course in Computer Science from:
    • CSC54-144 Explorations in Computing
      This course is an introduction to the discipline of computer science with an emphasis on applications in the liberal arts. Topics include basic programming constructs, basic data structures, algorithmic computation, selection, iteration, interactive user interfaces, abstraction and reasoning about computer programs. This is an introductory course intended for humanities, social science and fine arts majors. May not be used for the Computer Science major or minor. Cannot be taken after successful completion of Computer Science 54-184, 54-284, or 54-454 without departmental approval. (Spring) (NS)
    • CSC54-184 Computer Science I
      This is the standard first course in computer programming in an object-oriented style. It is primarily intended for students pursuing a major or minor in computer science, mathematics or other disciplines in the natural sciences. Topics include primitive types and operations, assignment, conditional execution, iteration, arrays, classes, methods, recursion, encapsulation, type extension, inheritance and reasoning about programs in Java. The course includes a laboratory component designed to explore applications and to enhance conceptualization. (Fall, Spring) (NS)
  • Two courses in the application of data science from:
    • BIO50-222 Methods in Ecology and Evolutionary Biology (3-3; Half Semester) AND BIO50-232 Methods in Cellular/Molecular Biology (3-3; Half-Semester)
      BIO50-222: This lecture/laboratory course is a foundation-building course that contains instruction on reading the primary literature in ecology and evolutionary biology, conducting literature searches, designing experiments, writing scientific papers, using quantitative methods, exercising critical thinking skills for data analyses, creating graphs, and developing specific laboratory and field research skills for ecology and evolutionary biology. Prerequisite: Biology 50-123/121 and 50-133/131 and Mathematics 52-114. (Fall and Spring) (NSL) (WA)
      BIO50-232: This lecture/laboratory course is a foundation-building course that contains instruction on reading the primary literature in cellular/molecular biology, conducting literature searches, designing experiments, writing scientific papers, using quantitative methods, exercising critical thinking skills for data analyses, creating graphs and developing specific laboratory skills for cellular/molecular biology. Prerequisites: Biology50-123/121 and 50-133/131. (Fall and Spring) (NSL) (WA)
    • BIO50-374 Human Genetics and Evolution
      An exploration of major themes and case studies in human variation and human evolution, including polygenic traits, gene by environment interaction, molecular evidence of natural selection, epigenetics, and variation in life history traits. Prerequisite: Biology 50-123/121, 50-133/131, and Biology 50-222 or Kinesiology 48-314 or Psychology 33-204.. (Ecology and Evolutionary Biology) (NS)
    • BUS30-424 Strategic Marketing
      This course utilizes business cases and discussions to illustrate fundamental business issues which include: defining an organization's business and mission, developing strategies for business growth, and devising strategies to contend with unanticipated business changes. The course emphasizes the role of marketing in all of these strategic decisions and in delivering value to the end consumer. Students analyze a variety of issues including new product launch decisions, advertising campaigns, ethical dilemmas related to business operations, and global expansion strategies. Prerequisite: Business 30-214. (ScS)
    • BUS30-434 Digital Marketing
      This course covers the fundamentals of digital marketing. Students learn how to apply and adapt traditional marketing strategies to an electronic domain (e.g., understanding the Internet for distribution). The classes and readings introduce students to search engine optimization (SEO), website management, and e-mail campaign strategies. The course also includes discussions of the ethical issues surrounding and related to e-marketing including privacy and psychological well-being. The latter part of the class is focused on social media. This includes analysis of social media metrics and user sentiment. Prerequisite: Business 30-214. (ScS)
    • CSC54-414 Operations Research
      Formulation and solution of problems with management, economics, engineering and science applications using modeling, optimization techniques, and simulation. Topics include linear and integer programming, simplex method, duality, sensitivity analysis, branch and bound algorithm, transportation and assignment problems, network optimization, and problem solving using optimization software. Also Mathematics 52-414 and Business 30-414. Prerequisites: Mathematics 52-154 (Calculus I) or 52-164 (Applied Multivariable Calculus I), and either Business 30-474 (Finance) or Mathematics 52-674 (Linear Algebra), or permission of the instructor.
    • CSC54-514 Database Management
      A study of the logical and physical organization of data in conventional database systems. Topics include functional dependencies, normal forms, relational and other data models, indexing and concurrency control. Prerequisite: Computer Science 54-284 or permission of instructor. (NS)
    • ECO31-314 Econometrics
      Quantitative and qualitative research methods for economic problems. Research design, data collection and statistical analysis of cross-sectional and time series data are covered. A major research paper and a weekly computer lab are required. Prerequisites: Economics 31-224, 31-234 and Mathematics 52-114, or permission of instructor. (Fall) (WA)
    • ENV49-204 Environmental GIS
      This course introduces students to the practice and theory of Geographic Information Systems (GIS) as a method for analysis of the environment. Students will examine the fundamentals of GIS and GIS applications, learning the concepts needed to effectively manipulate, query, analyze, and visualize spatial-based data. At the end of the semester students should feel comfortable applying GIS to a range of environmental issues, and have a solid understanding of the procedures and data necessary to conduct geographical analysis. Contributes to Race and Ethnicity Studies. (NSL)
    • KIN48-314 Research Methods in Kinesiology
      This course covers the basic concepts of research methods used in the discipline of kinesiology. It is designed to help students think critically, to give students hands-on experiences with research design, data analysis and interpretation, and to report results to a professional audience. Prerequisite: Mathematics 52-114 or consent of instructor. (NS) (WA) (Fall)
    • PSC32-444 Political Psychology
      This course analyzes political issues from a psychological perspective to assess the role that the political brain plays in shaping our institutions, public policy, and political behavior. The course also introduces students to research methods typical in the study of political behavior. Contributes to Psychology. Pre-requisites: Political Science 32-114 or Psychology 33-104. (ScS)
    • PSC32-534 Public Opinion: Fact Or Fantasy?
      This course explores the factors that shape public opinion, from question wording to socialization to the media and beyond. How do people arrive at their political opinions and how can we be sure that these opinions are grounded in facts and rational understanding of the issues at hand? We investigate the malleability of public opinion and under what conditions government officials should (and do) take it under consideration when making political decisions. We also conduct our own public opinion research, paying attention to the methods used to assess individual opinions and how these methods shape our understanding of what the public wants. Prerequisites: Political Science 32-364 or 32-384, or permission of instructor. (ScS) (American Politics)
    • PSY33-204 Survey of Research Methods
      This course introduces students to a variety of research methods in psychology, including experimental and non-experimental designs. Topics include literature review, hypothesis formation, psychological measurement, sampling, design, statistical analysis, ethics, and scientific writing in APA style. This course (with no lab) covers the basic methodological background necessary for upper-level psychology courses but does not involve project-based research. It is recommended for (a) psychology majors pursuing non-psychology careers or who prefer an internship capstone rather than a research capstone, (b) psychology minors, and (c) non-psychology majors preparing to take the MCAT Prerequisites: Psychology 33-104 and Mathematics 52-114, minimum grades of C required. (Spring) (WA) (ScS)
    • PSY33-214 Inquiry-Based Research Methods
      This course gives students in-depth experience with the research methods used in psychology, including experimental and non-experimental designs. Topics include literature review, hypothesis formation, psychological measurement, sampling, statistical analysis, ethics, and scientific writing in APA style. This course (which includes a required 1-credit lab; 33-211) involves intense project-based original research, and serves as good preparation for later independent research (capstone research or graduate school). This course is recommended for (a) psychology majors who prefer a research capstone over an internship capstone, and (b) students considering applying to graduate school in psychology. Co-requisite: Concurrent registration in 33-211, with the same professor, is required. You must register for lecture and lab with matching section numbers (e.g. 33-214-01 & 33-211-01). Prerequisites: Psychology 33-104 and Mathematics 52-114, minimum grades of C required. (Fall) (WA) (ScS)
    • SOC34-314 Research Methods
      This course acquaints majors and minors in sociology with the procedures for gathering and analyzing sociological data. Students are required to participate in lab sessions as a part of the course. Prerequisite: Sociology 34-114 or 34-124, Mathematics 52-114, and sociology major or permission of the instructor. (Fall) (WA) (ScS)
    • SOC34-364 Sociology of Work
      This course investigates the institution of work from a sociological perspective. Topics include: a brief history of the evolution of work, work patterns prevalent in the United States, and modern day concerns with employment inequality by race, gender, class, sexual orientation and the work-life balance. Students are required to attend SPSS lab sessions (during normal class time). They will perform quantitative analyses using employment discrimination complaint data and write a paper based on the results. Contributes to Business, and Race and Ethnicity Studies. (ScS)
  • One course in the social issues concerning data science from:
    • EDU40-124 Foundations & Curriculum of American Sch
      An examination of the educational history of the United States and the changes in curriculum that have developed through the years. The course will focus on the different philosophies of curriculum organization, as well as the scope and sequences of subjects in elementary and secondary schools. Included in the course of study are considerations of multicultural education, legal and ethical issues concerning the teaching profession, and the responsibilities of the teacher in today's society. (ScS) (WA) (SPRING)
    • HIS16-214 History of East Asia
      This course is a broad introduction to the major developments in East Asian history, society, and culture from pre-history to the present, with an emphasis on China. It examines key concepts from politics, philosophy, religion, art, and literature, paying attention to invention and reinvention. It also considers the role of communication and exchange within Asia and across the globe. (Biennially) (H)
    • PSC32-564 Modern Political Theory
      This course explores experience of modernity and the concept of enlightenment, as well as disenchantment and alienation. We analyze Romantic and Modernist responses to the problems and possibilities enabled by modernity, with a focus on the practice of politics in everyday life. This course will focus on sensory perception, aesthetics, and the political implications of how we experience the world, comparing and connecting how these themes play out in 19th century American Transcendentalist versions of Romanticism and 20th century continental versions of Modernism. Contributes to Race and Ethnicity Studies. Prerequisite: Political Science 32-364 or permission of instructor. (ScS) (Political theory)

Note: No more than two coures can be selected from any one academic discipline (3 letter prefix).