Our connected world generates vast amounts of data through mobile devices and sensors, offering new chances to find patterns and predict outcomes. This certificate teaches you to create data-driven solutions that improve businesses, science, and society, while also addressing key issues like privacy and surveillance.
Unlock the power of data
At a glance
Format
Online
Start dates
Fall, Spring, or Summer
24credit hours
8courses
What you'll learn
This program builds your math and tech skills to analyze complex data and create solutions for real-world challenges. You’ll also learn about ethical issues like privacy and responsible data use. By the end, you’ll be ready to apply your knowledge, communicate insights clearly, and contribute to data science projects.
Get a head start on your bachelor's degree
By completing your undergraduate certificate, you’ll not only earn a valuable credential to make an immediate impact on your career, you’ll also lay the groundwork for a bachelor's degree in data science. Transfer your certificate into a Luddy Indianapolis bachelor’s degree.
Careers
Earning a certificate in Applied Data Science prepares you to meet the growing demand for professionals with strong analytical skills who can make effective decisions. Graduates pursue careers such as:
Certificate requirements
Core courses (24 cr.)
- DSCI-D 202 Data Organization and Representation (3 cr., was LIS-S 202)
- DSCI-D 415 Statistical Learning (3 cr., was INFO-I 415)
Statistics (choose one):
- PBHL-B 302 (or alternative ECON-E 270 Introduction to Statistical Theory in Economics and Business (3 cr.))
- PBHL-B 300 Introduction to Biostatistics (3 cr.)
- SPEA-K 300 Statistical Techniques (3 cr.)
- STAT-I 301 Elementary Statistical Methods 1 (3 cr.)
- PBHL-B 304 Biostatistics for Health Data Science (3 cr.)
- STAT-I 350 Introduction to Statistics (3 cr.))
Programming (choose one):
- DSCI-D 210 Programming with Python 1 (4 cr., was INFO-B 210) (or alternative or CSCI-A 204 Introduction to Programming (4 cr.))
- CSCI-C 200 Introduction to Computer Programming I (4 cr.)
- INFO-I 210 Information Infrastructure I (4 cr.)
Database:
- DSCI-D 308 Database Design (3 cr., was INFO-I 308) (or alternative or CSCI-C 442 Database Systems (3 cr.))
Choose three from this list:
- NEWM-N 328 Visualizing Information (3 cr.)
- DSCI-D 416 Cloud Computing for Data Science (3 cr., was INFO-I 416)
- DSCI-D 418 Deep Learning Neural Networks (3 cr., was INFO-I 418)
- DSCI-D 428 Web Mining (3 cr., was INFO-I 428)
- INFO-B 443 Natural Language Processing (3 cr.)
Prerequisite courses
The following statistics, programming, and database course(s) must be completed before enrollment in DSCI-D 415 and DSCI-D 416:
Statistics (choose one)
- PBHL-B 302 (or alternative ECON-E 270 Introduction to Statistical Theory in Economics and Business (3 cr.))
- PBHL-B 300 Introduction to Biostatistics (3 cr.)
- SPEA-K 300 Statistical Techniques (3 cr.)
- STAT-I 301 Elementary Statistical Methods 1 (3 cr.)
- PBHL-B 304 Biostatistics for Health Data Science (3 cr.)
- STAT-I 350 Introduction to Statistics (3 cr.)
Programming (choose one)
- DSCI-D 210 Programming with Python 1 (4 cr., was INFO-B 210) (or alternative or CSCI-A 204 Introduction to Programming (4 cr.)
- CSCI-C 200 Introduction to Computer Programming I (4 cr.)
- INFO-I 210 Information Infrastructure I (4 cr.)
Database
- DSCI-D 308 Database Design (3 cr., was INFO-I 308) (or alternative or CSCI-C 442 Database Systems (3 cr.))
Core courses
- DSCI-D 202 Data Organization and Representation (3 cr., was LIS-S 202)
- DSCI-D 415 Statistical Learning (3 cr., was INFO-I 415)
Choose three from this list:
- NEWM-N 328 Visualizing Information (3 cr.)
- DSCI-D 416 Cloud Computing for Data Science (3 cr., was INFO-I 416)
- DSCI-D 418 Deep Learning Neural Networks (3 cr., was INFO-I 418)
- DSCI-D 428 Web Mining (3 cr., was INFO-I 428)
- INFO-B 443 Natural Language Processing (3 cr.)
MATH 159 Precalculus (5 cr.) may be taken in place of MATH 153 and MATH 154.
A C- or higher is required for all courses. Students must maintain a 2.0 GPA.
This plan of study is subject to revision.
Getting started
You can earn this as a stand-alone certificate, or as part of an undergraduate degree. To get started, you’ll need to be admitted to IU Indianapolis as an undergraduate student.
Current students
Contact your advisor to add this certificate to your major.
New students
You will need to apply to IU Indianapolis as an undergraduate student.