The online collaborative B.S. in Data Science is for students who wish to combine an excellent education in data management and analysis with the flexibility of the online format. The B.S. in Data Science curriculum focuses on high demand skills such as data storage and acquisition, data exploration and curation, data modeling and analysis, data visualization and presentation, and data ethics and governance.  Graduates are well prepared to work in all sectors of the economy to help spur innovation through data-driven decision-making.

Your IU Online BS in Data Science prepares you for such careers as:

• Business intelligence analyst
• Data mining engineer
• Data architect
• Data scientist
• Analytics manager
• Research analyst
• Information officer

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

Students must complete a minimum of 120 credit hours with a cumulative grade point average of 2.0 or higher, and 30 credits of the last 60 credits must be earned at IU Kokomo. A minimum of 30 credit hours must be taken at the 300-level or above. Students must complete all of the requirements of the IU Kokomo general education curriculum with a minimum cumulative GPA of 2.0 or higher. A grade of C or above is required in courses for the major.

• Professional Speaking (3 cr.) Choose one:
  • CMLC-C 122 Interpersonal Communication (3 cr.)
  • COMM-C 180 Interpersonal Communication (3 cr.)
  • COMM-C 223 Business and Professional Communication (3 cr.)
  • SPCH-S 122 Interpersonal Communication (3 cr.)
  • SPCH-S 223 Business and Professional Communication (3 cr.)
• Professional Writing (3 cr.) Choose one: 
  • ENG-W 230 Science Writing (3 cr.)
  • ENG-W 231 Professional Writing (3 cr.)
  • ENG-W 233 Technical Writing/Intermediate Expository Writing (3 cr.)
  • ENG-W 234 Technical Reporting Writing
  • ENG-W 270 Argumentative Writing (3 cr.)

• Computer Science Programming I:
  • CSCI-A 201 Programming 1 (taught using Python) (3 cr.)
• Computer Science Programming II:
  • CSCI-A 202 Programming II (taught using Python) (3 cr.)
• Computer Science – Data Structures:  
  • CSCI-C 343 Data Structures (taught using Python) (4 cr.)

• Calculus for Data Science I:
  • MATH-M 220 Calculus for Data Science 1 (3 cr.)
• Calculus for Data Science II:
  • MATH-M 230 Calculus for Data Science II (3 Cr)
• Linear Algebra: (choose 1)
  • MATH-M 301 Linear Algebra and Applications (3 cr.)
  • MATH-M 303 Linear Algebra (3 cr.)

• Computational Probability & Statistics: 
  • PBHL-B 302 Introduction to Biostatistics (3 cr.) (pre-req: at least college algebra)
• Computational Biostats:
  • PBHL-B 285 Classical Biostatical Regression Learning (3 cr.)
• Statistical Learning & Data Analytics:
  • PBHL-B 420 Introduction to Statistical Learning (3 cr.) Or INFO-I 415 Introduction to Statistical Learning (3 cr.)

• Data Fluency:
  • INFO-I 223 Data Fluency (3 cr.)
• Database Programming:
  • CSCI-B 461 Database Concepts (4 cr.)
  • CSCI-C 442 Database Systems (3 cr.)
  • CSCI-N 311 Database Programming Oracle (3 cr.)
  • INFO-I 308 Information Representation (3 cr.)[replace with INFO-I 399 after HLC approval 3 cr.)
• Introduction to Data Management:
  • CSCI-A 213 Database Applications (3cr.)
  • CSCN-N 211 Introduction to Database (3cr.)
• Data Applications:
  • CSCI-N 317 Computation for Scientific Applications (3 cr.)
• Cloud Computing:
  • INFO-I 416 Applied Cloud Computing for Data Intensive Science (3 cr.)
• Data Mining:
  • INFO-I 421 Applications of Data Mining (3 cr.)
• Ethics:
  • INFO-I 453 Computer and Information Ethics (3 cr.)
• Data Visualization:
  • NEWM-N 328 Visualizing Information (3 cr.)
• Data Management:
  • PBHL-B 452 Fundamentals of Data Management (3 cr.) (using R)
• Internship/Capstone:
  • INFO-I 490 Professional Practicum/Internship (no credit) or
  • INFO-I 492 Senior Thesis (3 cr.)

Student Services

IU Online provides quick and easy access to tools, tips, and IU resources to help you succeed, including:

• Admissions: Personalized application support for the program that is right for you
• Onboarding: An interactive orientation to online learning and all things IU
• Student Financial Services: Tailored resources for financial aid and money management
• Success Coaching: One-on-one support to reach your academic and personal goals
• Math and Writing Support: Direct access to IU-trained math mentors and writing consultants
• Career Services: Interactive tools and coaching to accelerate your career
• Libraries and Research: Online access to IU library resources and research librarians
• Technology: A full suite of software, collaboration tools, cloud storage, and training
• 24/7 Contact Center: Real-time chat, email, and phone support direct from IU

Admission requirements vary by campus.