Unlock Big Insights in Big Data
Make yourself indispensable in this rapidly growing field. Master predictive analysis, generating information from structured and unstructured data sets, then translating that information into actionable insights. We take a comprehensive approach, integrating analytics and machine learning with business. This innovative curriculum gives you technical prowess in statistics, analytical methods, and programming tools while powering up your vital business skills.
The result: a comprehensive foundation of knowledge so you can harness the information that mystifies others, creating real business value in any professional setting.
A STEM-Designated program.
The master of science in data science at Elmhurst requires the successful completion of 10 courses for a total of 7.50 credits (30 semester hours). Students complete two project-based courses, providing an environment for integrating lessons learned from the program's multi-faceted approach and for refining skills necessary to put the program's theoretical knowledge to work in realistic and changing circumstances. Required Courses
- MDS 546 Quantitative Methods
- MDS 523 Data Warehousing
- MDS 534 Data Mining and Business Intelligence
- MDS 549 Data Mining Project
- MDS 535 Programming Languages and Environments
- MDS 556 Analytical Methods
- MDS 564 Advanced Data Mining and Analytics
- MDS 576 Research Methods in Data Science
- Two graduate-level electives
Program Format The master of science in data science program is a part-time program that can be completed in two years. The program is offered fully online with classes that are flexible enough to accommodate the schedules of professionals with work and family commitments. Students complete coursework through eight-week sessions.
The master of science in data science program at Elmhurst College welcomes applications from students who hold an undergraduate degree in any major from a regionally accredited institution. Please note that a basic course in statistics (with a grade of C or better) and prior coursework in programming are prerequisites to the program. Prerequisites can be met at Elmhurst College through the successful completion of MTH 345 Elementary Statistics and CS 200 Programming Fundamentals (online, non-credit). Or prerequisites may be completed as part of the student's undergraduate coursework or transferred from another college/university. Applicants must also have at least one year of professional experience that may be waived with directors' approval. And an admission interview with the program directors is required for all applicants.
Job Prospects for Graduates
The employment outlook for big-data-related-information science and business analytics occupations is exceptionally strong. The U.S. Department of Labor states that overall growth is expected to increase by 19%, outpacing average growth. Big data is everywhere and companies nationwide are looking to capitalize on it. With emerging technology and a wealth of quality data available to businesses today, new positions in big data will continue to become available and demand will continue to rise. Graduates of the master in data science program at Elmhurst will be proficient in the key skill areas required to excel in big data, giving them a competitive edge in the market. With a curriculum combining statistics, computer science and business, Elmhurst’s graduates will be able to leverage their education to succeed in a wide variety of industries. Career opportunities in data science include, but are not limited to:
- Data Scientists, Engineers, Analysts
- Data Mining Specialists
- Business Analysts
- Marketing Managers
- Market Research Analysts
- Sales Engineers
- Quality Assurance Analysts
- Strategic Planning Analysts
- Web Analytics Managers
- Risk Managers
- Predictive Modelers
- Decision Managers
- Operations Managers
- Information Systems Managers
- Information Security Analysts
- Operations Research Analysts
- Software Engineers
- Network Managers
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Last updated February 8, 2018