Degree Requirements for the M.S. in Applied Data Science

The plan of study is 30 credit hours. It includes seven core courses and three specialization courses.

Core Courses

Students may test out of INFO-H 611 and LIS-S 511. Students do not receive credit toward their required 30 credit hours by testing out of a course. However, they may instead replace the course with a specialization course or approved elective.

Specialization Courses

Students may replace specialization courses with approved electives with the permission of the program director.

Sample Plan of Study

Substitute Courses

Substitute courses accommodate special interests and scheduling needs, such as for an online course. A substitute course satisfies the core or specialization 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 at least one month before the start of the semester.

Students may be able to transfer in approved graduate courses from an accredited institution.

International students on an F-1 visa may only take one online course per semester. They must typically take 8 credit hours per semester except in their final semester.. These limitations apply to fall and spring semesters but not summer sessions.

Course Replaces
CSCI 54100 Database Systems (3 cr., prerequisite: CSCI 44300 Database Systems or equivalent) LIS-S 511, INFO-B 512, or INFO-B 556
CSCI 55200 Data Visualization (3 cr.) INFO-H 517
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-H 515
CSCI 59000 Cloud Computing (3 cr.) INFO-H 516
LIS-S 517 Web Programming (3 cr.) NEWM-N 510
ECON-E 570 Fundamentals of Statistics and Econometrics (3 cr.), HPER-T 591 Introduction to Statistics in Public Health (3 cr.), INFO-B 518 Applied Statistical Methods for Biomedical Informatics (3 cr.),  PBHL-B 561 Introduction to Biostatistics I (3 cr.), PSY 60000 Statistical Inference (3 cr.), or STAT 51100 Statistical Methods I (3 cr.) PBHL-B 670
LIS-S 506 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-I 575

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 575LIS-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.