Pictured | Ahmed Awad Atta Elfadil | BS, Data Science / Minor in Philosophy | South Bend, Indiana (hometown)

Bachelor of Science in Data Science

Collaborative Online Degree

This 100 percent online, consortial program is taught by IU South Bend, IU East, IUPUI, IU Kokomo, IU Northwest, and IU Southeast. This consortial model allows you to take coursework from several campuses and learn from a wide range of faculty.

This program is authorized, exempt, or not subject to state regulatory compliance and may enroll students from all 50 states.

Many online support services are available to assist you as you progress through the program.

In the Information Age, enormous amounts of data are generated every day in a range of areas, including social media, search engines, insurance companies, healthcare organizations, hospitals, defense, and retail. Data science is now a rapidly growing, high-paying field.

As a student in the IU Online Bachelor of Science (BS) in Data Science, you collect, organize, and analyze data to make meaningful conclusions. You write programs to perform data analysis on large, complex datasets. You evaluate the social, legal, and ethical issues that arise from the mass collection of data.

• Data acquisition and storage
• Data exploration and curation
• Data modeling and analysis
• Data visualization and presentation
• Data ethics and governance

Admissions

Admissions requirements vary by campus.

Degree Requirements (120 cr.)

Students receiving the Bachelor of Science in Data Science must complete 120 total credit hours including:

• IU South Bend Campuswide General Education Curriculum (33 cr.)
• Data Science Core (30 cr.)
• Computer Science (11 cr.)
• Mathematics (9 cr.)
• Statistics (9 cr.)
• Professional Communication (6 cr.)
• Free Electives (balance of credits needed to equal 120 credit requirement)

• A minimum of 33 credit hours at the 300– or 400–level
• Core Requirements must be completed with a grade of C or higher; cannot be used to satisfy the requirements for another major or minor)
• A minimum CGPA of 2.0 is required
• All courses are 3 credits, unless otherwise noted.

Data Science Core (30 cr.)

• CSCI-C 442 Database Systems
• CSCI-N 317 Computation for Scientiic Applications
• INFO-I 308 Information Representation
• INFO-I 416 Cloud Computing for Data Science
• INFO-I 421 Applications of Data Mining
• INFO-I 453 Computer and Information Ethics
• INFO-I 491 Capstone Project Internship; OR
  INFO-I 492 Senior Thesis
• NEWM-N 328 Visualizing Information
• PBHL-B 352 Fundamentals of Data Management in R

Computer Science (11 cr.)

• CSCI-A 204 Introduction to Programming (4 cr.)
  Taught using Python
• CSCI-A 205 Computer Programming (4 cr.)
  Taught using Python
• CSCI-A 310 Data Structures 
  Taught using Python

Mathematics (9 cr.)

• MATH-M 220 Calculus for Data Science I
• MATH-M 230 Calculus for Data Science II
• MATH-M 301 Linear Algebra and Applications; OR
  MATH-M 303 Linear Algebra for Undergraduates

Statistics (9 cr.)

• CSCI-C 337 Introductory Statistical Analysis with R; OR
  PBHL-B 304 Biostatistics for Health Data Scientists: A Computational Approach
• PBHL-B 275 Probability Without Tears and Without Calculus
• PBHL-B 384 Classical Biostatistical REgression Methods (R-Based)

Professional Communication (6 cr.)

Select one from the following:

• CMCL-C 122 Interpersonal Communication 
• COMM-C 180 Introduction to Interpersonal Communication  
• COMM-C 223 Business and Professional Communication 
• SPCH-S 122 Interpersonal Communication  
• SPCH-S 223 Business and Professional Communication 

Select one from the following:

• ENG-W 230 Writing in the Sciences
• ENG-W 231 Professional Writing Skills 
• ENG-W 233 Intermediate Expository Writing
• ENG-W 234 Technical Report Writing 
• ENG-W 270 Argumentative Writing b