Same school, new name. The School of Informatics and Computing is changing its name effective January 11, 2023. Learn more about the name change

Artificial Intelligence B.A. + Applied Data Science M.S.

Artificial intelligence and data science are rapidly changing how we do business and live our lives. You can seize opportunities in these expanding sectors by earning an accelerated bachelor’s degree in AI and master’s in Applied Data Science through our school.

This industry-focused degree program is tailored to meet employers’ needs and equip you with the skills to succeed. You can develop sought-after proficiencies in AI and ADS and graduate from Indiana University with two degrees in just five years.

Artificial Intelligence B.A. (on campus or online)

Develop skills related to human-centered computing, including industrial and business applications. Your interdisciplinary education in AI design and development includes AI solutions and applications, AI for enterprise intelligence, and human–AI interaction.

We offer your 120-credit-hour bachelor of arts degree through our Department of Human-Centered Computing.

Applied Data Science M.S. (on campus)

Combine research, theory, and practice to curate, analyze, and visualize data. You’ll acquire a broad understanding of data science approaches and applications, explore how to engage with big data, and enhance your knowledge in an array of high-impact domains.

Develop industry know-how and in-demand skills in our state-of-the-art technology labs. In addition to faculty guidance, your 30-hour master’s degree includes interactions with working professionals and domain experts.


Applied Data science M.S. graduates employed in their major (2019-20)


median full-time starting salary (2019-20)


Broadening your skill set with AI and data science expertise enhances your career prospects.

Understanding how process and cognitive automation are changing the job landscape puts you ahead of the curve. Be prepared for new opportunities in fields of human-centered computing, such as user experience engineering.

You’ll develop in-demand competencies in data analysis, management, the data science life cycle, high-throughput data stores, cloud computing, and the ethical management of data science projects.

You can qualify for jobs including:

  • Advanced Analytics Analyst
  • Business Intelligence Solutions Coordinator
  • Data Engineer
  • Data Scientist
  • Enterprise Data Architect
  • Machine Learning Engineer
  • Product Manager
  • Research Associate
  • Risk Data Analyst
  • Senior Application Programmer

Employers include Afiniti, Anthem, Citi, Citizens Energy Group, Cummins Inc., Emory University, GlobalLogic, Kaleido Biosciences, Leidos, Merck, OpsVeda Inc., Publicis Sapient, Resultant, and Sony Interactive Entertainment.

Plan of Study

Fall Semester Senior Year (16 credits)

Spring Semester Senior Year (13 credits)

Summer Session (3 credits)

  • Specialization course

Fall Semester Fifth Year (9 credits)

Spring Semester Fifth Year (9 credits)

  •  Master’s Specialization course
  • Master’s Specialization course
  • Master’s Specialization course

AI Selectives (select four, 12 cr.)

Area II World Language Competency

Students must demonstrate world language first-year proficiency in one of three ways:

  • Successful completion of world language courses 131 and 132.
  • First year proficiency via ALEKS test or other placement test (test into 200 level), then can fulfill with 1 Cultural Understanding (including 200-level or higher world language courses) or CLEP and elective credits.

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