Dual M.S. in Data Science and Applied Statistics
Combine your background in data science with a deep statistical skillset in this dual degree, gaining two master's degrees in less time.
What you'll learn
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This dual-degree program merges statistical science with data science, equipping you with the skills to analyze complex datasets. You'll gain expertise in computational biology, machine learning, and data analysis, preparing you to address challenges in areas like genomics and biotechnology. The curriculum blends theoretical knowledge with practical applications, fostering critical thinking and problem-solving abilities essential for real-world impact.
Advance your career with data science and statistics
Graduates will perform advanced statistical modeling and analysis, apply data science algorithms to both structured and unstructured data, and combine statistical thinking with computational tools to solve complex problems. They will design reproducible and ethical data workflows and be prepared for careers in analytics, research, or data science, as well as for further doctoral studies.
Program details for Dual M.S. in Data Science and Applied Statistics
At a glance
Format: Online and on-campus
Start dates: Fall
Admission requirements
Applicants must apply and be admitted to both the Data Science and Statistical Science programs. The combined program requires 52 credit hours, offering a more efficient path compared to the 61 credit hours needed if pursued separately.
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.
Curriculum
This integrated dual-degree program requires 52 credit hours and combines core courses in statistical theory, regression, multivariate analysis, and time series with data science courses in machine learning, big data systems, and data mining. Electives bridge applied statistics and computational methods, and a shared capstone, internship, or research experience fulfills requirements for both programs.
Typical degree map
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Adding Applied Statistics Later
This degree map is for students who start in the data science program and later decide to add on the applied statistics M.S.
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Paying for a Luddy education
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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. Dual Degree 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.