Program Requirements and Opportunities

Data are an omnipresent aspect of modern life.  商业, 政府, and non-profit organizations increasingly depend on data for their daily operations and planning.  Massive amounts of personal data are generated daily.  How such data are used and interpreted raises significant moral and social issues and is likely to influence the well-being and functioning of individuals, 社区, 环境与社会.

The 数据科学 (DS) minor is an interdisciplinary program with courses in a number of departments.  The DS minor provides an opportunity for students to learn about data analytics, 计算方法, 数据驱动的决策, 数据结构和管理, and the social and ethical implications of data.  

Students can complete the minor by selecting from a broad range of courses.  The 数据科学 minor is intended to offer pathways for students from all divisions of the college.   Students may complete at 数据科学 minor as a complement to any major in the TRICO. 

Requirements for the 数据科学 Minor

辅修课程包括六门课程. 

One course in each of two foundational areas: 

• 数据分析方法:  BIOL B250 Computational Methods in the Sciences; CITY B201 Introduction to GIS for Social & Environmental Analysis; CITY B217 研究 Methods in Social Sciences; CMSC B151(数据结构); ECON B258 Introduction to Econometrics; MATH B195 (Statistics for 数据科学); MATH B205 (Theory of Probability with Applications); PSYCH B205 研究 Methods & Statistics or SOCL B265 (Quantitative Methods)
• 计算机基础:  DSCI B100, Introduction to 数据科学; CMSC B110. Introduction to Computing; CMSC B113, Computer Science I;  or BIOL 115, Computing Through Biology

Four additional courses from the list of courses below.

Additional Minor Guidelines/Requirements:

• Students can only count a total of 2 courses that they are using for major credit (or another minor) towards the minor
• At least two of the additional four courses beyond the two foundational requirements must be at the 200 level or above