In response to the growing need to generate and analyze meaningful data across all industries, demand for a new breed of professionals skilled in data analytics is on the rise. By 2020, data science job openings are projected to grow by 15%*. With its strong career focus, the MS Data Science prepares students with the practical and theoretical skills to handle large-scale data management and analysis challenges that arise in today's data-driven organizations.
This program encourages students to work with practitioners active in the field of data science, analytics, and infrastructure to provide hands-on experience solving real problems. The curriculum includes opportunities for students to choose elective courses to pursue a variety of career paths within the broad field of data science and its various application areas. The program will prepare students—regardless of their scientific, engineering, or business background—to pursue a career in data science.
The foundation for the MS Data Science at RIT begins with the Data Science MicroMasters® program delivered on the edX platform. Nine credits will be awarded for the Data Science MicroMasters program certificate toward the MS Data Science at RIT.
How it works:
- Apply for admission to RIT
- Connect with the Graduate Program advisor for MS Data Science, who will assist in enrolling you for the Data Science MicroMasters program and help you make your RIT course selection
- Present a portfolio of work completed in the Data Science MicroMasters program to the Graduate Program advisor
*Source: Burning Glass Technologies, “The Quant Crunch: How the Demand for Data Science Skills is Disrupting the Job Market,” 2017.
$24,101 (2018-19 AY)
30 credit hours required
A part-time student could complete the program in 4 years.
Complete the UCSanDiegoX Data Science MicroMasters program (9 credits equivalency):
- DSE200x: Python for Data Science (0 credits)
- DSE210x: Statistics and Probability in Data Science using Python (0 credits)
- DSE220x: Machine Learning for Data Science (0 credits)
- DSE230x: Big Data Analytics Using Spark (0 credits)
Complete RIT Online courses:
- Introduction to Data Science: Management (3 credits)
- Software Engineering for Data Science (3 credits)
- Regression Analysis (3 credits)
- Elective (9 credits)
- Data Science Capstone ( credit)
- *Elective courses will come from computing, mathematics, and statistics. Students may also take electives from different disciplines across RIT, with the permission of the Program Coordinator and, if required, the relevant department.
- Data Scientist
- Research Scientist
- Policy Advisor
- Senior Data Analyst
- Business Intelligence Specialist
- Financial & Banking Institutions
- Insurance Providers
- Marketing Research Agencies
- Transportation & Logistic Firms
- Risk & Compliance Agencies
- Health Care Service Providers
- 95% of RIT graduates enter the workforce or continue to go on for further education
- RIT alums hail from more than 147 countries and work for more than 3,723 employers
- Upon graduation, you’ll become a member of the 121,000-strong RIT alumni community
- We build programs based on real-time employer demand
- The same faculty that teach on-campus, teach online
- RIT faculty have extensive experience in the classroom, in research, and in their professional fields
- We provide the same library services and resources, including a dedicated librarian, for online students
- Our career specialists provide advisement to help you plan, prepare for, and meet your career goals
- We provide enriched personalized academic advising
- You receive the same RIT credential as traditional on-campus graduates
Applications may be submitted any time during the year. For priority consideration, please submit all application materials a minimum of 6 weeks prior to your intended start date.
To be considered for admission to the master of science in data science, candidates must complete the online application form and fulfill the following requirements:
- Hold a baccalaureate (or equivalent) degree from a regionally accredited institution,
- Have a minimum cumulative undergraduate GPA of 3.0* (B average),
- Submit official transcripts (in English) of all previously completed undergraduate and graduate course work,
- Have prior study or professional experience in computer programming and statistics, and
- Submit a minimum of two recommendations from individuals who are well-qualified to assess the applicant’s potential for success.
- Submit a current resume or curriculum vitae.
- A test of English Language aptitude is required of all applicants and course registrants whose native language is not English. RIT accepts TOEFL, IELTS, and PTE exams. Applicants are exempt from submitting the TOEFL, IELTS, or PTE-Academic exams if they have worked or studied in the U.S. for the last two years or they are from countries and attended universities whose native language is English. These countries include: American Samoa, Australia, Bahamas, Barbados, Belize, Bermuda, British West Indies, Canada, England, Guam, Ireland, Mauritius, New Zealand, Scotland, South Africa, Virgin Islands and Wales.
- Certain countries are subject to comprehensive embargoes under US Export Controls, which prohibit virtually ALL exports, imports and other transactions without a license or other US Government authorization. Learners from Syria, Sudan, North Korea, the Crimea region of the Ukraine, Iran and Cuba may not register for online courses at RIT. Nor may individuals on the United States Treasury Department’s list of Specially Designated Nationals or the United States Commerce Department’s table of Deny Orders. By registering for online courses at RIT, you represent and warrant that you are not located in, under the control of, or a national or resident of any such country or on any such list.
* Applicants with a GPA below 3.0 may be considered, but are required to submit standard Graduate Record Exam (GRE) scores.
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