M.S. in Data Science - Residential
The residential M.S. in Data Science at IU Bloomington attracts students from around the world to a top-tier academic environment.
What you'll learn
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In this program, you’ll learn to apply statistical and computational methods to analyze complex data, build scalable systems, and create data-driven solutions for real-world challenges. You’ll also strengthen your ability to communicate results clearly to diverse audiences, preparing you for a career in data science or further doctoral study.
Advance with data science at IU
In our Data Science program, you'll build the skills needed to tackle tomorrow's data challenges, covering key areas like programming, statistics, machine learning, and ethics, giving you a competitive edge in the job market.
You’ll gain hands-on experience through projects, internships, and collaboration. You'll also work with expert faculty, access advanced research facilities, and collaborate across disciplines to solve real-world problems. Along the way, you will build skills, connections, and experience that prepare you for success in a data-driven career.
Program details for M.S. in Data Science (Residential)
Admission requirements
Before applying to the M.S. in Data Science program, you should have a basic understanding of the programming languages Python and R, in addition to math and probability. If you need help developing or refining your mathematical or programming skills, we can offer you self-study recommendations.
The Luddy graduate admission committees will consider students who have a three- or four-year bachelor's degree. Applicants should have a minimum of a 3.0 (B) or higher GPA.
Degree requirements
All data science course requirements are listed in the Luddy academic bulletin. To review your specific requirements, choose the bulletin that represents the year you started, or plan to start, your program.
If you wish to enroll in a course not listed in the academic bulletin, or outside of the Luddy School of Informatics, Computing, and Engineering, please contact us to request approval.
Curriculum
The 30-credit hour curriculum combines core coursework in data analytics, machine learning, and data management with specialized electives in four tracks
- Applied Data Science focuses on real-world applications in areas like health, business, and science.
- Big Data Systems emphasizes data engineering, cloud platforms, and large-scale systems.
- Computational and Analytical provides a strong foundation in algorithms, statistical modeling, and programming.
- Managerial Data Science integrates data science with decision-making, project management, and communication.
Students complete foundational courses, track electives, and a capstone project or thesis.
Degree tracks
To graduate, you’ll complete 30 graduate-level credit hours and choose from four distinct learning tracks in order to develop career-specific expertise.
The tracks were designed with flexibility in mind; we encourage you to choose coursework specific to your goals.
- Applied Data Science
- Big Data Systems
- Computational and Analytical
- Managerial Data Science
One School. Two Campuses. Infinite Possibilities.
More pathways at Luddy Indianapolis
Explore the Data Science program available at IU's urban research campus in the heart of downtown Indianapolis.
Start a career at Luddy
$86,023Average starting salary
97%of graduates reported full-time employment or graduate school admissions
Graduates enter a strong job market with in-demand skills in programming, analytics, machine learning, and data ethics. With hands-on experience and interdisciplinary training, they are well prepared for careers in technology, healthcare, finance, government, and beyond, taking on roles such as data scientist, analyst, and machine learning engineer.
A few companies that have hired M.S. Data Science graduates at Luddy:
Amazon Web Services, Morgan Stanley, OpenAI, Pfizer
What are the career possibilities with a computer science major?
Gen AI Engineer, Business Intelligence Developer, Data Engineer, Machine Learning Researcher and more.
The Luddy student experience
Real Research. Real Experience.
Discover Luddy Research
At Luddy and across IU, students and faculty tackle bold research in areas like bioinformatics, computational biology, security, and privacy.
Through the Undergraduate Research Opportunities in Computing program, computer science majors can gain hands-on experience, work closely with faculty or Ph.D. mentors, and build skills that open doors in tech and research careers.
Scholarships and Financial Aid
Explore our Financial Help
Attending the Luddy School of Informatics, Computing, and Engineering is more affordable than you think. With direct-admit scholarships and federal financial aid, you can reduce the cost of earning your M.S. in Data Science at IU.
Advising and Student Resources
Find Extra Help
Whether you’re a Data Science major or still exploring your options, Luddy School advisors are here to help you navigate degree requirements, seize academic opportunities, and tailor your journey to fit your goals.