Computational Data Science (Computer & Information Science)

The Master of Science degree in Computational Data Science is a Purdue University degree offered in the Department of Computer and Information Sciences.

Data science is a cross between Computer Science and Statistics, and it involves data-driven knowledge discovery in terms of pattern analysis and prediction. Youll study statistics, regression, sequence analysis, machine learning, data mining, and data analysis (like database systems, information visualization, and “big data” analytics).

Students graduate from this program ready to enter the workforce in the rapidly advancing field of data science, an interdisciplinary domain that cuts across computer science and statistics. Youll gain the skills necessary to ensure you are competitive in todays job market by gaining an understanding of theory, implementation (e.g., algorithms and appropriate computing languages), and the inherent “nature” of different data modalities, such as classification and prediction challenges on specific data (e.g., sparse and/or incomplete data).

Understanding the degree requirements

Students complete 30 credit hours in computer science and statistics courses at 500 level or above.

Core course requirement (9 credits in computer science, 6 credits in statistics)

• Computer Science
  • CSCI 59000, Introduction to Data Science
  • CSCI 57300, Data Mining
  • CSCI 57800, Statistical Machine Learning
• Statistics
  • STAT 51200, Applied Regression Analysis
  • STAT 52900, Applied Decision Theory and Bayesian Analysis

Elective course requirement (12 credits in computer science and/or statistics, 3 credit capstone course)

• Computer science
  • CSCI 52000, Computational Methods in Analysis
  • CSCI 54100, Database Systems
  • CSCI 55200, Advanced Graphics & Visualization
  • CSCI 58000 Algorithm Design, Analysis, and Implementation
  • CSCI 59000, Large-scale Machine Learning
  • CSCI 59000, High Performance Computing.
• Statistics
  • STAT 51400 Design of Experiments
  • STAT 52000 Time Series and Applications
  • STAT 52300 Categorical Data Analysis
  • STAT 52400, Applied Multivariate Analysis
  • STAT 52501, Generalized Linear Models
  • STAT 53600, Introduction to Survival Analysis
• Capstone
  • CSCI 69500, MS Capstone Project OR STAT 59800, Topics in Statistical Methods

Students who hold a baccalaureate degree from an accredited institution with a grade point average (GPA) of 3.00 on a 4.00-point scale, or with an overall “B” grade equivalent may be considered for admission to graduate degree programs in the School of Engineering and Technology. International applicants must submit official test score reports from the Educational Testing Service (ETS) for the Test of English as a Foreign Language (TOEFL) to be considered for admissions.  Some graduate programs require official test scores for the Graduate Record Exam (GRE) from both domestic and international applications.

All international students must demonstrate English proficiency for admission into IUPUI graduate and professional programs. Non-native English speaking domestic applicants may also be required to complete standardized testing dependent on their English proficiency.

There are many different ways to demonstrate your English proficiency to meet our graduate or professional admission requirements. Please make careful note of the different minimum requirements for Purdue and IU graduate programs shown below. Additionally, some graduate programs only accept the TOEFL, and some may require a score higher than the minimum campus standard. Verify this information with your program before selecting an alternative to the TOEFL.

Your first step is to talk to the academic department that offers your program. You will want to check their admission standards and deadlines before you start the application process.

You are required to submit some supporting documents for your department to make the initial admission decision. Each department has different requirements.