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Applied Data Science Undergraduate Certificate

Unlock the keys to data-driven decision-making

You can learn to fulfill the potential of data by earning a certificate in applied data science through the IU School of Informatics and Computing at IUPUI.

Businesses, organizations, and institutions need employees who can capitalize on the enormous amounts of information being generated each day. You’ll acquire the skills to organize and manage data through this program, jointly offered by the Library and Information Science and Human-Centered Computing departments.

Making the data connections

Our interconnected world, bound by ubiquitous mobile devices and sensors, captures communications and interactions. Discover how these technologies—and the volume, variety, and velocity of the data they create—open opportunities to discover insightful correlations and predict outcomes.

You’ll learn to develop data-driven solutions, allowing us to better understand ourselves, our communities, and the global market.  Unlocking the power of data enables us to run businesses more efficiently, make groundbreaking scientific discoveries, and promote the common good.

When you earn the applied data science certificate you will develop mathematical and technological skills to analyze data sets, leading to valuable knowledge. You’ll also learn about the societal implications of data work, including privacy and surveillance.

Careers

Help to meet the growing need for people with deep analytical skills who can make effective decisions. Careers for students with a certificate in Applied Data Science include:

Certificate Requirements

Required Courses (12 cr.)

Prerequisites (17–19 cr.)

The following mathematics, statistics, and programming courses must be completed before enrollment in INFO-I 415 and INFO-I 416:

  • MATH 15300 College Algebra (3 cr.)
  • MATH 15400 Trigonometry (3 cr.)
  • MATH 17100 Multidimensional Mathematics (3 cr.)
  • MATH 159 Precalculus (5 cr.) may be taken in place of MATH 153 and MATH 154.

Select one statistics course:

  • 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.)
  • PBHL-B 302 Biostatistics for Informatics (3 cr.)
  • STAT 30100 Elementary Statistical Methods 1 (3 cr.)
  • STAT 35000 Introduction to Statistics (3 cr.)

Select one programming course:

Select one database course:

Students must earn a C or higher in each course.

Admissions and Advising

For academic advising, contact an undergraduate advisor.