Pictured | Ahmed Awad Atta Elfadil | B.S., 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:
- Major Requirements (65 cr.)
- Data Science Core Courses (30 cr.)
- Professional Communication (6 cr.)
- Computer Science (11 cr.)
- Mathematics (9 cr.)
- Statistics (9 cr.)
- World Languages (6 cr.)
- Physical and Life Sciences (10 cr.)
- Free Electives (balance of credits needed to equal 120 credit requirement)
- A minimum of 33 credit hours at the 300– or 400–level.
- Major requirements must be completed with a grade of C or higher
- A minimum CGPA of 2.0 is required
- All courses are 3 credits, unless otherwise noted.
Major Requirements (65 cr.)
Data Science Core (30 cr.)
- CSCI-A 213 Database Applications; OR
CSCI-N 211 Introduction to Databases - CSCI-C 442 Database Systems; OR
CSCI-N 311 Advanced Database Programming, Oracle; OR
INFO-I 308 Information Representation - CSCI-N 317 Computation for Scientiic Applications
- INFO-I 223 Data Fluency
- INFO-I 416 Applied Cloud Computing for Data Intensive Sciences
- INFO-I 421 Applications of Data Mining
- INFO-I 453 Computer and Information Ethics
- INFO-I 490 Profesional Internship (0 cr.); OR
INFO-I 491 Capstone Project Internship - NEWM-N 328 Visualizing Information
- PBHL-B 452 Fundamentals of Public Health Data Management
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 Profesional 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
Computer Science (11 cr.)
- CSCI-A 201 Introduction to Programming I (4 cr.)
- CSCI-A 202 Introduction to Programming II (4 cr.)
- CSCI-C 343 Data Structures
Mathematics (9 cr.)
- MATH-M 220 Calculus for Data Science I
- MATH-M 230 Calculus for Data Science II
- MATH-M 303 Linear Algebra for Undergraduates
Statistics (9 cr.)
- INFO-I 415 Introduction to Statistical Learning; OR
PBHL-B 420 Introduction to Biostatistical Learning - PBHL-B 275 Probability Without Tears and Without Calculus
- PBHL-B 285 Classical Biostatistical Regression Methods