StudyQA — Master: Data Science — Indiana University at Bloomington

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Description Contents Requirements Funding

Graduate students can look forward to studying in a truly collaborative environment where computer scientists and informaticists are working side by side with biologists, high-performance computing and visualization experts, and library and information scientists.

Our graduate degree programs are evolving every year in response to faculty and student research interests.

Core Courses (12 cr.)

Data Analysis and Statistics (3 cr.)

Complete one course from the following:

CSCI-B 503 Algorithms Design and Analysis
CSCI-B 553 Neural and Genetic Approaches to Artificial Intelligence
CSCI-B 565 Data Mining
CSCI-B 652 Computer Models of Symbolic Learning
CSCI-B 659 Topic: Information Theory and Inference
INFO-I 573 Programming for Chemical & Life Science Informatics
INFO-I 590 Topic: Visual Analytics
INFO-I 590 Topic: Relational Probablisitic Models
ILS-Z 534 Search
ILS-Z 604 Topic: Big Data Analysis for Web and Text
ILS-Z 637 Information Visualization - offered online
STAT-S 520 Introduction to Statistics
STAT - any course that is 600 level and above

Data Lifecycle (3 cr.)

Complete one course from the following:

CSCI-B 551 Elements of Artificial Intelligence
CSCI-B 555 Machine Learning
INFO-I 535 Management, Access, and Use of Big and Complex Data - offered online
INFO-I 590 Topic: Applied Machine Learning
INFO-I 590 Topic: Complex Systerms
ILS-Z 604 Topic: Scholarly Communication
ILS-Z 604 Topic: Data Curation
ILS-Z 636 Data Semantics - offered online
ILS-Z 652 Digital Libraries

Data Management and Infrastructure (3 cr.)

Complete one course from the following:

CSCI-B 534 Distributed Systems
CSCI-B 552 Knowledge Based Artificial Intelligence
CSCI-B 561 Advanced Database Concepts
CSCI-B 649 Topic: Cloud Computing - offered online
CSCI-B 649 Topic: Advanced Topics in Privacy
CSCI-B 649 Topic: Cloud Computing for Data Intensive Sciences - offered online
CSCI-B 661 Database Theory and Systems
CSCI-B 662 Database Systems and Internal Design
CSCI-B 669 Topic: Scientific Data Management and Preservation
CSCI-P 536 Advanced Operating Systems
CSCI-P 538 Computer Networks
INFO-I 520 Security for Networked Systems
INFO-I 524 Big Data Software and Projects - offered online
INFO-I 525 Organizational Informatics and Economics Security
INFO-I 590 Topic: Complex Networks and their Applications
ILS-Z 511 Database Design

Domain/Application Area (3 cr.)

Select from one of these areas: business analytics, science analytics, web science, social data analytics, and health analytics.

CSCI-B 656 Web Mining
CSCI-B 679 Topic: High Performance Computing
INFO-I 519 Introduction to Bioinformatics
INFO-I 523 Big Data Applications and Analytics - offered online
INFO-I 529 Machine Learning Bioinformatics
INFO-I 533 Systems and Protocol Security and Information Assurance
INFO-I 590 Topic: Big Data in Drug Discovery, Health and Translational Medicine - offered online
ILS-Z 605 Internship

Electives (18 cr.)

Select from the Domain/Application Areas list, the Core Courses list, or the M.S. in Data Science - general - Approved Courses list. Electives provide an opportunity to make the program your own. Advising tracks and recommendations from your faculty advisors can help. Be creative in your course strategies.

Requirements

Completed application forms (online).
Three letters of recommendation that address the applicant’s academic and professional capabilities. It is the applicant’s responsibility to ensure that letters of recommendation reach the Admissions Office by deadline dates.
Current resume or CV
A personal essay explaining academic and career objectives (minimum 500 words).
Official transcripts from each college attended (except IU transcripts, which the department can obtain from the IU Registrar’s online system). From all other colleges and universities, applicants should arrange to have transcripts sent directly to the ILS Admissions Office.
Graduate Record Examination (GRE) General Test scores are required of all doctoral program applicants. Master’s program applicants whose grade point average (GPA) in undergraduate college course work is below a 3.0 on a 4.0 scale, or whose GPA on course work completed for a previous graduate degree is not 3.2 or higher, must submit GRE scores in support of their applications. GRE minimum scores are 153 verbal, 144 quantitative, and 4.0 analytical writing. GRE scores, if provided, will be taken into account in the competitive admissions process and in the awarding of departmental financial aid. The test must be taken within three years of application. GMAT scores may be submitted for GRE scores for ILS master's degree applicants (minimum of 31 in each area).
An application fee. Online applications require payment by credit card.
All international applicants for any ILS degree program must submit a recent official Graduate Record Examination (GRE) General Test score report from the Educational Testing Service. The test must have been taken within three years of application. Scores on all three sections (verbal, quantitative, and analytical) will be considered. GRE minimum scores of 153 verbal, 144 quantitative, and 4.0 analytical writing are required. GMAT scores may be submitted for GRE scores for ILS master's degree applicants (a minimum score of 31 in each area is required).
Students whose first language is not English must submit recent official scores from the Test of English as a Foreign Language (TOEFL). A minimum TOEFL score of 100 (or 600 on the paper test) is required for admission to ILS graduate programs.