Data science is one of the hottest fields in computing. The data science master's program gives you the practical and theoretical skills to handle large-scale data management and analysis challenges that arise in today's data-driven organizations. This program appeals to professionals looking to enhance their skill set, and includes opportunities for customized course work within the broad field of data science and its various application areas.

In response to the growing need to generate and analyze meaningful data across all industries, demand is on the rise for a new breed of professionals skilled in both analytics and computing. RIT's MS in data science encourages you to work with faculty experts in the fields of data science, analytics, and infrastructure who provide hands-on experience solving real problems. The curriculum includes opportunities for you 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 prepares you—regardless of your scientific, engineering, or business background—to pursue a career in data science.Demand is high for professionals skilled in both analytics and computing. Enhance your skill set by learning to manage large-scale data sets in this highly applied data science master's program.  

Data Science, MS degree, typical course sequence (on-campus program)
Course    Sem. Cr. Hrs.
First Year
DSCI-601    Applied Data Science I    3
DSCI-633    Foundations of Data Science and Analytics    3
DSCI-644    Software Engineering for Data Science    3
ISTE-608    Database Design And Implementation    3
STAT-614    Applied Statistics    3
SWEN-601    Software Construction    3
     
Electives
3
Second Year
DSCI-602    Applied Data Science II    3
     
Electives
6
Total Semester Credit Hours    
30
 

Data Science, MS degree, typical course sequence (online program)
Course    Sem. Cr. Hrs.
First Year
DSCI-633    Foundations of Data Science and Analytics    3
ISTE-608    Database And Implementation    3
STAT-614    Applied Statistics    3
SWEN-601    Software Construction    3
     
Elective
3
Second Year
DSCI-644    Software Engineering for Data Science    3
DSCI-799    Graduate Capstone    3
     
Electives
9
Total Semester Credit Hours    
30
 

Data Science, MS degree, typical course sequence (online + edX program)
Course    Sem. Cr. Hrs.
First Year
ISTE-608    Database Design And Implementation    3
SWEN-601    Software Construction    3
     
edX Micromasters
9
     
Elective
3
Second Year
DSCI-644    Software Engineering for Data Science    3
DSCI-799    Graduate Capstone    3
     
Electives
6
Total Semester Credit Hours    
30
 

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Admission Requirements

To be considered for admission to the MS in data science, candidates must fulfill the following requirements:

• Complete an online graduate application. Refer to Graduate Admission Deadlines and Requirements for information on application deadlines, entry terms, and more.
• Submit copies of official transcript(s) (in English) of all previously completed undergraduate and graduate course work, including any transfer credit earned.
• Hold a baccalaureate degree (or US equivalent) from an accredited university or college.
• Recommended minimum cumulative GPA of 3.0 (or equivalent).
• Submit a current resume or curriculum vitae.
• Two letters of recommendation are required. Refer to Application Instructions and Requirements for additional information.
• Not all programs require the submission of scores from entrance exams (GMAT or GRE). Please refer to the Graduate Admission Deadlines and Requirements page for more information.
• Submit a personal statement of educational objectives. Refer to Application Instructions and Requirements for additional information.
• Have college level credit or practical experience in computer programming and statistics.
• International applicants whose native language is not English must submit official test scores from the TOEFL, IELTS, or PTE. Students below the minimum requirement may be considered for conditional admission. Refer to Graduate Admission Deadlines and Requirements for additional information on English requirements. International applicants may be considered for an English test requirement waiver. Refer to Additional Requirements for International Applicants to review waiver eligibility.

Tuition fee-2 years1,06,000

Total fee-2 years1,44,000