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MS Minor in Data Science Analytics


​There is a new minor within the Biostatistics MS degree program in Data Science Analytics.

We offer this new minor in response to the changing landscape of biomedical research which is relying more and more on the generation, analysis and interpretation of large data sets.  With this new minor, students pursuing this training within the MS Biostatistics program will have an official designation within their degree, which will help with employment and other opportunities.

Eligibility

MS students and PhD students who are in the process of obtaining a MS degree are eligible.  It is best to plan out the minor starting the first year to ensure timely graduation and availability of electives.

Requirements

  • Take 9 credits of electives from a list of courses related to Data Science Analytics (see below).  There are additional elective credits required in the minor compared to the original MS degree, so that there is opportunity to specialize in this area.
  • Write a thesis or publishable paper with a focus on Data Science Analytics.

Timeline

The Biostatistics MS degree is designed to be completed in two academic years.  Although the minor requires additional credits for the specialization, the degree can still be completed within two years assuming students take courses over the summer.  See an example timeline below (individual cases and offerings every year will vary).

Year 1 Fall​

BIOS 6611 (3 credits)
BIOS 6631 (3 credits)
BIOS 6621 (1 credit)​
CSPH Required PH (1 credit)

Year 1 Spring​

​BIOS 6612 (3 credits)
BIOS 6632 (3 credits)
BIOS 6622 (1 credit)
MS Minor Elective (3 credits)

Year 1 Summer​

PUBH 6600 (2 credits)

Year 2 Fall​

BIOS 6623 (3 credits)
BIOS 6643 (3 credits)
MS Minor Elective (3 credits)

Year 2 Spring​

MS Minor Elective (3 credits)
EPID 6630 (3 credits)
MS Thesis/Research Paper (2 credits)

Year 2 Summer​

MS Thesis/Research Paper (2 credits)

List of currently accepted classes for electives:
Course Number Course Title Credits Course Director Delivery Method
BIOS 6640† Python and R Programming in Data Science 3 Ghosh Inclass - variable term & years
BIOS 6680 Data Management Using SAS 3 Blatchford Inclass - every fall
BIOS 6685 Introduction to Public Health Informatics 3 Moore Online – every spring
CSCI 5559† Database Systems 3 Banaei-Kashani Inclass - every spring
CSCI 5702† Data Mining and Analytics 3 Banaei-Kashani Inclass - every fall
CSCI 5800† Advanced Data Stores (special topics course) 3 Banaei-Kashani Inclass - variable term & years
CSCI 4800/5800† Introduction to Data Science (special topics course) 3 Banaei-Kashani Inclass - variable term & years
CPBS 7630† Computational Methods for Addressing Big Data Challenges in Biomedicine I 3 Costello Inclass - variable term & years
CSCI 2312* Object Oriented Programming 3 Various Inclass – fall/spring
CSCI 2421* Data Structures & Program Design 3 Various Inclass – fall/spring
CSCI 3287* Database System Concepts 3 Various Inclass – fall/spring
CSCI 3412* Algorithms 3 Various Inclass – fall/spring

† at least 6 credits should be taken from these options
*only one lower-level 2000/3000 CSCI course can count towards the electives, these are used to meet prerequisites of the 5000 series if needed

Other courses may be substituted with Program Directors’ consent. In addition, as new Data Science courses are added to the curriculum at either campus, Program Directors will evaluate their suitability for this minor and will add them to this elective list.

Not all courses above are offered every year, for academic year 2017-2018, here are the possible options:
Fall 2017
  • BIOS 6680 (3 credits) Data Management Using SAS
  • CSCI 5800/7800 (3 credits) Advanced Data Science
  • CSCI 2312* (3 credits) Object Oriented Programming
  • CSCI 2421* (3 credits) Data Structures & Program Design (
  • CSCI 3287* (3 credits) Database System Concepts
  • CSCI 3412* (3 credits) Algorithms
Spring 2018
  • CPBS 7630 (3 credits) Computational Methods Big Data Challenges in Biomedicine I
  • CSCI 5800 (3 credits) Advanced Data Stores [Note: to be renamed “Big Data Systems”]
  • CSCI 2312* (3 credits) Object Oriented Programming
  • CSCI 2421* (3 credits) Data Structures & Program Design
  • CSCI 3287* (3 credits) Database System Concepts
  • CSCI 3412* (3 credits) Algorithms

*only one lower-level 2000/3000 CSCI course can count towards the electives, these are used to meet prerequisites of the 5000 series if needed

Please confirm with the program directors about your schedule and minor electives!

Colorado School of Public Health

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