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Plan of Study for M.S. in Applied Data Science

The plan of study is 30 credit hours. It includes nine required courses on the following topics: informatics and mathematical foundations, data visualization, relational databases, statistics, statistical learning, cloud computing, web and database development, and project management or research design.

Substitute Courses

Substitute course accommodate special interests and scheduling needs, such as for an online course. A substitute course satisfies the core course requirement.

A student wishing to substitute a course or take an elective course from our Data Science program in Bloomington must apply for graduate non-degree status one month before the start of the semester.

Students may test out of INFO I501 or INFO H611.

International students on an F-1 visa may only take one online course per semester.

Course Replaces
CSCI 54100 Database Systems (3 cr., prerequisite: CSCI 44300 Database Systems or equivalent) LIS S511, INFO B512, or INFO B556
CSCI 55200 Data Visualization (3 cr.) INFO H517
CSCI 57300 Data Mining (3 cr.), CSCI 57800 Statistical Machine Learning (3 cr.), INFO-B 518 Applied Statistical Methods for Biomedical Informatics (3 cr.), INFO-I 526 Applied Machine Learning (3 cr., IUB) INFO H515
CSCI 59000 Cloud Computing (3 cr.) INFO H516
LIS S517 Web Programming (3 cr.) NEWM N510
ECON E570 Fundamentals of Statistics and Econometrics (3 cr.), HPER T591 Introduction to Statistics in Public Health (3 cr.), PBHL B561 Introduction to Biostatistics I (3 cr.), or STAT 51100 Statistical Methods I (3 cr.) PSY 60000
INFO I575 Informatics Research Design (3 cr.), LIS S506 Introduction to Research (3 cr.), STAT 514 Design of Experiments (3 cr.), or TECH 50700 Measurement and Evaluation in Industry and Technology (3 cr.) INFO B505

Approved Electives

The following approved electives are available in the fall and spring semesters.

Thesis or Project in Applied Data Science

The Thesis/Project is available to highly motivated students ready to carry out publishable research. Students must prepare a prospectus and gain a commitment from a primary faculty advisor with research interests in data science by the end of the first semester. By the end of the second semester, students must complete a course on research design and methods (e.g., INFO-I 575, LIS-S 506, or STAT 514).

The thesis or project must be completed in two semesters or in a semester and summer. Thesis students register for a total of 6 credits and project students register for a total of 3–6 credits of INFO-H 695 Thesis/Project in Applied Data Science. Students are required to prepare and defend a research proposal with a timeline of deliverables in addition to the thesis or project. The length of the program is up to 33 credit hours for students who do not test out of the informatics and mathematical foundations requirements.