Data Science Minor for Statistics Majors
Students can major in Statistics and minor in Data Science.
Courses being used to fulfill the requirements for the Statistics major may not be used to fulfill the requirements for the Data Science minor.
Data Science Minor Requirements for Statistics Majors (6 units)
- 1 approved course that replaces the introductory course - In most cases, one quarter of the calculus that is necessary for the Statistics major will replace the introductory course requirement for the minor
- STAT 301-1 Data Science 1 (Fall quarter)
- STAT 301-2 Data Science 2 (Winter quarter, pre-requisite STAT 301-1)
- STAT 301-3 Data Science 3 (Spring quarter, pre-requisite STAT 301-2)
- STAT 302 Data Visualization
- 1 approved elective course relevant to the minor
Statistics Major Requirements (minimum 8 units)
- 1 introductory course*: STAT 202-0 Introduction to Statistics, STAT 210-0 Introductory Statistics for the Social Sciences, or STAT 232-0 Applied Statistics
- Required related MATH courses (https://www.statistics.northwestern.edu/undergraduate/major.html)
- STAT 320-1 Statistical Theory and Methods 1
- STAT 320-2 Statistical Theory and Methods 2
- STAT 320-3 Statistical Theory and Methods 3
- STAT 325-0 Survey Sampling or STAT 351-0 Design and Analysis of Experiments
- STAT 350-0 Regression Analysis
- 3 additional 300-level courses offered by the department** – note: MATH 310-2, IEMS 315-0, IEMS 351-0, IEMS 365-0, or IEMS 373-0 may substitute for 1 of the 3 STAT 300-level elective courses. Only 1 substitution is permitted.
**Note: STAT 301-1, 301-2, 301-3, 302, and any 300 level electives being used for the Data Science minor cannot be used to fulfill credit requirements for the Statistics major.
Full list of major requirements and information can be found here
Expectations and coursework for Minor
Students will develop data acumen by learning how to ethically and effectively collect, process, explore, communicate, and make decisions with data and how to combine these components into an efficient data workflow.
The core courses (Data Science 1, 2, 3, and Data Visualization) are designed for students to develop the knowledge and skills needed to build an appropriate data workflow through project work. In each of these courses students will be expected to complete 1-2 weekly assignments and a final data project focused on a dataset they have sourced. Students should be prepared to dedicate approximately 7-12 hours per week outside of class to course work.
Declaring the Data Science Minor
Space in the Data Science Minor is limited and students are selected for to participate in a Data Science Minor Cohort by a lottery system. Selection for participation in a Minor in Data Science cohort is by lottery. Students are selected annually from a lottery to fill the available spots in the cohorts. Students not selected from the lottery are given the option to join wait lists for the cohort they were not selected for. Selection from the lottery is by random drawing. Lottery drawings for the cohorts are held annually in spring quarter.
The cohorts that we will be holding lottery drawings for in Spring 2021 are: 2021-2022, 2022-2023, 2023-2024
To enter the lottery, students must attend a required Minor in Data Science Information Session. To receive information about registering for one of the required sessions, students should add themselves to the Data Science Minor Lottery Notification List. Note: incoming first year students are not eligible to join the Data Science Minor Lottery Notification List until Fall quarter of their first year.
The Data Science Minor Lottery Notification List will close on March 31 and Minor in Data Science Information Sessions will be held in early April. Lottery drawings and advising for the students selected for the cohorts will begin in late April/early May.
Statistics majors whom have secured spots in the Data Science classes through the major's lottery who are interested in possibly declaring the Data Science minor should contact firstname.lastname@example.org for more information.
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