Data Science
Online master of science degree
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A degree driven by real-time employer demand 

Data science skills found in job postings related to the field will grow 55% by 2023, outpacing all other occupations. Search our curriculum and you’ll find the expertise and skills most frequently posted by employers in this high-growth, emerging field. Connect with your admissions counselor to learn more.

Data Analytics
Data analysis skills are in 55% of all job postings related to this field and projected to grow 82% by 2026. Machine learning skills are growing by 102%. You’ll use emerging technologies, tools, and practices in next-generation analytics to drive innovation through data.
Data Science
The need for skills in artificial intelligence has grown 190% over the last two years and is projected to grow 128% by 2026. Demand for deep learning skills will grow 135%. Leading industry skills, tools, and processes are used extensively in application-focused projects.
Software & Programming
Expertise in Python and R is growing by 61%, and these skills appear in 30% of the job postings for this field. Blockchain skills are growing by 245%. You’ll learn how to select and implement industry-standard technology and systems in relation to key managerial and organizational issues to be solved.
Experimental Design
Crossover, adaptive, and equivalence designs. Bioequivalent and multivariate testing. You’ll practice these essential techniques dominating 38% of the job market in this field and be equipped to design clinical trials, marketing tests, and industrial experiments.

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The data science job market

Annual Salaries
Annual average salaries for jobs in this field: Operations Research Analyst – $88,350. Data Scientist – $117,345. Computer and Information Research Scientist – $123,850.
Employment Growth
Data analysis skills account for 55% of all skills posted for jobs in this field. Employment for data science jobs will grow 19% by 2026.
Demand for AI
Demand for artificial intelligence skills has grown 190% in the last 2 years. Machine learning market will grow to $21 billion in 2024.
Demand for Blockchain
Demand for expertise in blockchain will grow 245% by 2026. Deep learning skills will grow by 135%.

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Catapult your career with data science 

The explosive growth in demand for data science skills is disrupting today’s job market. With jobs growing by 19%, there are more openings than qualified applicants for these jobs. At the intersection of mathematics, statistical research, data processing, and computer science, this hybrid, complex role is high-growth, up to 40% higher-paying than more traditional jobs, and is immune to the threat of automation. RIT is uniquely positioned as a leader in each of the intersecting disciplines that define data science.  

With a strong career focus, you’ll learn both practical and theoretical skills to handle large-scale data management and analysis challenges ever-present in today’s data-driven organizations. Designed for working professionals studying online part-time, you’ll be learning with students from varied professional backgrounds and working with practitioners active in the field to provide hands-on experience solving real problems.

Questions? Connect with your admissions counselor.

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What you will learn

  • Concepts and skills in machine learning to prepare you to build, tune, and discover actionable insights from predictive models 
  • Programming language skills in Python and R to be able to synthesize large unstructured data sets 
  • Competencies in data mining, regression analysis, text mining, and predictive analytics 
  • How to create, critically assess, interpret, and communicate rich visualizations 

This curriculum provides 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. You’ll be prepared--regardless of your scientific, engineering, or business background--to pursue a career in data science. 


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Credit hours, price & duration

The online MS degree in data science requires 30 credits and costs $1,191 per credit hour (Academic Year 2020-2021). You may complete the degree part-time in as few as 24 months. For your convenience, we offer 2 start dates during the year.

Flexible
100% online degree designed for working professionals. 2 convenient start dates per year. Complete in 24 months. No GRE or GMAT required.
Marketable
Your degree from a top university will meet professional demand and provides the ability to use data science skills in a variety of disciplines and industries.
Versatile
This degree maps to over 20 different occupation groups, and is in demand in nearly all industries.
Customizable
Your data science degree begins with a plan of study tailored to your interests and career goals.

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Related graduate-level degrees 

RIT’s faculty and curriculum are at the leading edge of creativity, innovation, and design. You may be interested in these degree programs focused on data analytics which also emphasize application of emerging technologies, tools, and strategy to impact and influence industry.


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Master of science in data science curriculum

Required:

DSCI-623 | Introduction to Data Science Management (3 credits)

DSCI-633 | Foundations of Data Science (3 credits)

DSCI-644 | Software Engineering for Data Science (3 credits)

STAT-614 | Principles of Statistics (3 credits)

STAT-641 | Applied Linear Models - Regression (3 credits)

DSCI-799 | Graduate Capstone (3 credits)

Elective (9 credits):

STAT-745 | Predictive Analytics (3 credits)

STAT-747 | Principles of Statistical Data Mining (3 credits)

STAT-773 | Time Series Analysis and Forecasting (3 credits)

ISTE-782 | Visual Analytics (3 credits)

DSCI-650 | High Performance Data Science (3 credits)

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Admission requirements

  • Hold a baccalaureate (or equivalent) degree from a regionally accredited institution.
  • Have a minimum cumulative undergraduate GPA of 3.0 (B average), or related professional experience.
  • Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
  • Have prior study or professional experience in computer programming or complete bridge courses as required.
  • 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.
  • Submit a personal statement of educational objectives.
  • A test of English Language aptitude is required of all applicants and course registrants whose native language is not English.
  • 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.

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It’s quick and easy to apply!

Start your application now. We encourage you to begin your application now! Simply create an admissions account, and then begin your online application, which will take about 15 minutes to complete. You may save your work and return at any time. Your application may be submitted with or without the application fee and any supporting documents you wish to supply.

Transcripts
You may submit unofficial copies of your transcripts. If you are admitted, we’ll need the official transcript at that time.
Application
RIT requires a $65 application fee for applicants. You may pay the application fee using a credit card.
Easy Upload
Please submit any supporting documents electronically through our easy upload option in the online application.

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Questions about applying?

Connect with Admissions Advisor, Karen Palmer