HELP 2018-2019 Graduate Catalog [ARCHIVED CATALOG] Data Science Print this Page

Kimberly Rutigliano, Managing Director
Daniel Engels, Director of Curriculum

Admission Requirements

Applicants to the M.S.D.S. program must hold a bachelor’s degree in statistics, applied mathematics, computer science, engineering or other quantitative discipline. An application fee is required. Additional requirements are as follows:

1. A basic understanding of a programming language (R, JAVA, C++, Python or similar programming language).
2. Calculus I and II. Business calculus does not meet this requirement.
3. A completed online application, with the following:
   • Three letters of recommendation.
   • A statement of purpose.
   • All official academic transcripts.
   • An official GRE graduate school admission test score, which may be waived if a prospective student has five or more years of industry-related experience or has earned a master’s degree in a related field.
4. A satisfactory TOEFL English language proficiency test score (minimum 90) is required for an applicant whose native language is not English.

Programs

• Data Science, M.S.D.S.

Courses

Effective spring 2019 the course prefixes for the following courses changed from MSDS to DS: (*updated* 10/30/2018)

• DS 6110 - Immersion
• DS 6120 - Capstone A
• DS 6130 - Capstone B
• DS 6306 - Doing Data Science
• DS 6370 - Statistical Sampling
• DS 6371 - Statistical Foundations for Data Science
• DS 6372 - Applied Statistics: Inference and Modeling
• DS 6390 - Visualization of Information
• DS 6391 - Visualization of Information and Creative Coding II
• DS 7330 - File Organization and Database Management
• DS 7331 - Data Mining
• DS 7333 - Quantifying the World
• DS 7335 - Machine Learning
• DS 7337 - Natural Language Processing
• DS 7346 - Cloud Computing
• DS 7349 - Data and Network Security
• DS 8310 - Above and Beyond
• DS 8390 - Special Topics in Data Science

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