Data Science BS
Welcome to Data Science
Turn data into decisions
Our daily lives generate more data than ever before, and in that wealth of data lies insights that will change the world. Our Bachelor of Science in Data Science will give you the tools and the skills needed to create improved data-driven decision making in just about every imaginable domain.
Data science will change tomorrow
Data science is changing the environment by developing policies and responses to the challenge of climate change while better preparing local governments to prepare for and react to natural disasters. It’s changing business by allowing companies to improve their logistics, streamline how they deliver goods and services to customers, and save millions of dollars. Data science is feeding the hungry, and making us safer by improving crime prevention, creating more efficient firefighting, and making cars and roads less dangerous. It’s even changing the way sports teams scout players and the way they play the game.
Meet the advisors
Your Luddy advisor can help you:
- Consider your goals and plan your four years around achieving them
- Understand your degree requirements and how to customize your program
- Add or change majors, minors, and certificates
- Navigate campus policies and procedures
- Take advantage of helpful resources and academic opportunities
Luddy Computer Science & Data Science Advisors |
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Review the degree requirements
All degree requirements are listed in the Luddy academic bulletin. As an undergraduate, student, you can review your specific requirements by choosing the bulletin that represents the year you entered IU. The bulletin for the most current academic year is typically released later in the summer.
Data Science Core (25 credits)
- INFO-I 123: Data Fluency
- STAT-S 350: Intro to Statistical Inference
- CSCI-A 310: Problem Solving using Data
- DSCI-D 321: Data Representation and Processing
- STAT-S 352: Data Modeling and Inference
- DSCI-D 351: Big Data Analytics
- DSCI-D 498: Data Science Capstone I
- DSCI-D 499: Data Science Capstone II
Math and Science Foundations (17 credits)
- MATH-M 211: Calculus I
- MATH-E 201: Linear Algebra for Data Science
- MATH-E 265: Probability for Data Science
- CSCI-C 200: Intro to Computers and Programming or
INFO-I 210: Informatics Infrastructure I - CSCI-C 241: Discrete Structures or
INFO-I 201: Math Foundations of Informatics
Additional Luddy Courses
In addition to General Education Requirements, the Luddy School requires students to complete a few extra requirements to meet the Shared Goals of IU Bloomington. For Data Science, students must complete:
- Diversity in the U.S.
- English Composition (grade of C or higher)
- Intensive Writing
- ILS-Z 410: Social and Ethical Impacts of Big Data
- 10 credits Natural Science (any N&M listed for Common Ground)
Data Science: Sample First Semester Schedule
Your advisor can help you with your specific situation, but just to give you an idea, a sample Data Science first semester schedule usually totals around 14-15 credits and includes the following:
- ENG-W 131: English Composition (3 cr)
- MATH-M 211: Calculus I (4 cr)
- CSCI-C 200: Intro to Computers and Programming (4 cr)
- INFO-I 123: Data Fluency (3 cr)
*NSO students are pre-enrolled in ENG-W 131, CSCI-C 200, and INFO-I 123
(For NSO students only): Note about Pre-enrollment
You may be pre-enrolled for one or more courses prior to your NSO advising appointment. These courses may include English Composition, English Language Improvement (for some international students), CSCI-C 200, and INFO-I 123.
You can check your current enrollment in your Student Center from One.IU. You can review your enrollment with an academic advisor during your NSO advising appointment and make adjustments at that time.
Relevant AP Scores
| AP Test | Score | Course Equivalent | Credits |
|---|---|---|---|
| Calculus AB | 4 or 5 | MATH-M 211 | 4 |
| Calculus BC | 4 or 5 | MATH-M 212 | 4 |
| Computer Science A | 3 | CSCI-C 102 | 3 |
| Computer Science A | 4 or 5 | CSCI-C 200 | 4 |
| Computer Science P | 3, 4, or 5 | CSCI-C 102 | 3 |
| English Language & Comp | 4 or 5 | ENG-W 131. Could also earn credit through ACT/SAT | 3 |
Consider your specialization options
Our broad, blended curriculum provides the foundation to build the knowledge and experience necessary to create an in-demand skillset in this rapidly growing field. We offer five specialization tracks, which allow you to refine your skills to your area of interest, giving you the expertise needed to give you an advantage in your career path.
Foundational Data Science
Students can learn the fundamentals of data science, from data analysis to the principles of machine learning, database concepts, algorithm design, statistical theory, and more.
Data Systems
Embedded systems, the concepts of databases, cloud computing, distributed systems, and big data applications are just some of the areas of focus for students who are interested in the design, implementation, and study of data systems.
Network and Applied Data Science
Students interested in network and applied data science learn the fundamentals of network science and data visualization, and they can apply their knowledge to a variety of areas, such as big data, data mining, analytics, biology, and more.
Data Science Design
This area focuses on making data science more useful and understandable through design, including through visualization and prototyping, as well as creating strategies that allow data science concepts to be more consumable.
Biological and Health Science
Students interested in the biological and health science track learn how to combine data science with the natural sciences to improve healthcare outcomes and our understanding of our world through digital biology, data analysis, analytics, and more.
