RIT's master's of information technology and analytics provides an opportunity for in-depth study that prepares you for today’s high-demand computing careers. Companies are drowning in data—structured, semi-structured, and unstructured. Big data is not just high transaction volumes; it is also data in various formats, with high velocity change, and increasing complexity. Information is gleaned from unstructured sources—such as web traffic or social networks—as well as traditional ones; and information delivery must be immediate and on demand.

As the users' advocate, IT professionals also need the critical thinking skills to problem-solve in a wide variety of computing situations, combined with an understanding of the needs of their audience. Just knowing how technology works is no longer enough. Today, computing professionals need to know how to make it all work.Graduate study in a computing discipline that only focuses on traditional computing approaches is not flexible enough to meet the needs of the real world. New hardware and software tools are continually introduced into the market. IT professionals must have a specific area of expertise, as well as adaptability, to tackle the next new thing. Or, just as often, retrofit available technologies to help users adapt to the latest trends.

• Combine IT and business to address the challenges and opportunities of Big Data.
• Leverage the most current data analytics techniques to address and solve industry problems.
• Complete the master's of information technology and analytics on-campus or online.

Technology has woven itself into the fabric of society, binding people and information closer together than ever before. This new digital era brings with it exciting innovations. It also brings a host of new, unexplored problems that can be unlocked through data analytics. RIT's master's of information technology and analytics provides an opportunity for in-depth, career-oriented study that explores how information is understood and leverages the most current data analytics techniques to address industry problems.

The internet has brought a new kind of democracy where all information is created equal. No longer the sole province of experts and the traditional media, it has become grassroots, viral, and global. The sheer volume and lightning speed of information transfer has changed how the world communicates, educates, learns, and ultimately solves problems. As the web and its related technologies evolve, users need help in managing these new tools.

The master's of information technology and analytics program addresses the web systems and integration technologies, and the information management and database technology pillars, of the IT academic discipline, along with the additional option of discovery informatics.   

Domain Electives–Chosen only by those enrolled in the on-campus option, domain electives are available in: analytics, information management and database technology, or web systems and integration technologies. With permission of the graduate program director, students may select the special topics track to fulfill this requirement. See the graduate program director for more information.

Thesis/Capstone Options–For the on-campus option of the program, students may choose a project or a thesis to build upon their domain of study. The project option is 3 credit hours and requires one additional 3 credit domain elective. The thesis option is 6 credit hours and does not require an additional elective. The online option consist of a capstone project.

Information Technology and Analytics (thesis and project options), MS degree, typical course sequence
Course    Sem. Cr. Hrs.
First Year
DSCI-633    Foundations of Data Science and Analytics    3
ISTE-605    Scholarship In Information Sciences And Technologies    3
ISTE-608    Database Design and Implementation    3
ISTE-610    Non-Relational Data Management    3
ISTE-612    Information Retrieval and Text Mining    3
     
Domain Electives
9
Second Year
Choose one of the following:    
6
ISTE-790    Thesis in Information Sciences and Technologies    6
 or    
 
 
ISTE-791    Project In Information Sciences And Technologies    3
     
 Domain Elective
3
Total Semester Credit Hours    
30

Domain electives
Course
Data Analytics
ISTE-724    Data Warehousing
ISTE-732    IOT Analytics
ISTE-780    Data Driven Knowledge Discovery
ISTE-782    Visual Analytics
Information Management and Database Technology
ISTE-721    Information Assurance Fundamentals
ISTE-722    Database Connectivity and Access
ISTE-724    Data Warehousing
ISTE-726    Database Management and Access
Other approved electives
ISTE-730    Foundations of IOT
ISTE-764    Project Management
ISTE-792    Capstone Guidance Colloquium
 

Admission Requirements

To be considered for admission to the MS program in information technology and analytics, 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.
• 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.

Prerequisites

It is expected that prospective students will have a background in fundamental information technology concepts including object-oriented programming, website development, database theory and practice, and statistics. Students without the necessary background should complete the prerequisites before applying to the program. However, bridge courses are available to satisfy the prerequisites.

Tuition fee-2 years1,06,000

Total fee-2 years1,44,000