Data Science Major at Houghton College

Bachelor of Arts, Bachelor of Science 

The Data Science program develops graduates who contribute expertise and skills to teams providing data collection, data analysis, and data communication for business and industry, governmental and non-governmental organizations, and natural and social sciences.

The Data Science major combines computer science, statistics, and a choice of application areas (e.g. business, biology, chemistry, mathematics, communication, psychology, political science), including an internship.

Data Science Major Learning outcomes

1. Acquiring data: Students will select, verify, and retrieve data from several sources to address a query, including sources specific to their domain focus.  They will select ethically and functionally appropriate systems of information storage and retrieval, and build databases and information retrieval collections.

2. Preparing data: Students will format data, identify and correct for noise in data, and appropriately deal with missing data.

3. Analyzing data: Students will organize, structure, summarize, and describe data using standard methods.  They will find and evaluate relationships among variables and assess differences among groups, and select analytical methods appropriate to the intent of the study, using interpretive procedures and computing tools.

4. Acting on data: Students will integrate organizational purpose with analysis, converting data-based insights into recommendations for action.  They will adapt the message to the audience, creatively select and apply ethically and functionally appropriate data visualization tools, and lead stakeholders toward appropriate actions.

Data Science Curriculum

Bachelor of Arts Core: 30-32 credit hours
DSCI 210 Data Science I (4) New course (Using R)
DSCI 211 Data Science II (4) New Course (Using Python)
CSCI 211 Programming I (4) Scala
CSCI 218 Programming II (4) Scala
CSCI 236 Data Structures and Algorithms (4)
A course in digital communication or development communication chosen from
     COMM 232 Introduction to Web Communication (4) OR COMM/ART 224 Time, Motion, and      
     Communication (4) OR ART 245 Graphic Design I (4) OR COMM 314 New Media and Society (4)
     OR COMM 228 Digital Video I OR COMM 284 Introduction to Digital Imaging
     OR INCL 347 Development Communication and Grant Writing (4) OR COMM ST: Data Visualization (2)
BADM/PSY 309 Statistics (4)
DSCI 480 Senior Capstone Seminar in Data Science (4) New course

Bachelor of Science Additions: 22-24 credit hours beyond BA core courses
CSCI 295 Machine Learning (4) New course
CSCI 312 Computational Statistics (4) New course
CSCI 340 Data Bases (4)
PSY 312 Advanced Applied Statistics (4, new course) OR CSCI 295 Big Data and Cloud Computing (4,new)
DSCI 380 Collaborative Research in Data Science (4, new) May be taken as two 2-credit courses, with heavy emphasis on data collection and data communication.
One additional course in digital communication or development communication from
     COMM 232 Introduction to Web Communication (4) OR COMM/ART 224 Time, Motion, and     
     Communication (4) OR ART 245 Graphic Design I (4) OR COMM 314 New Media and Society (4)
     OR COMM 228 Digital Video I OR COMM 284 Introduction to Digital Imaging
     OR INCL 347 Development Communication and Grant Writing (4) OR COMM ST: Data Visualization (2)
Application: 12 or more credit hours

A cognate area designed with the faculty advisor to develop skills in application of Data Science in one of five focus areas: Public sector/non-profit applications, Data Journalism, Natural Science, Behavioral and Social Science, Business and Industry

  • A data analysis course such as POLS 212/SOC 312 Social Science Research Methods
  • Disciplinary coursework to support application of Data Science in areas such as Accounting, Biochemistry, Biology, Chemistry, Business Administration, Economics, International Development, Mathematics, Political Science, Psychology, Physics, or Sociology.
  • At least one course that includes presentation of data.
  • DSCI 289/389/489 Data science internship (0-6 credits, new) involving workplace experience equivalent to at least two credits.
Back To Top