Bridging IT and Business
Awareness of the importance of information technology (IT) for business is becoming wide spread. The industry has created more and more job opportunities for people who have interdisciplinary skills. Our program intends to bridge the gap between IT and business, teaching you both the domain and technical knowledge necessary to face tough challenges in the industry.
View the curriculum to learn more about foundation, concentration, and elective courses
Learn more about tuition, fees, housing & dining information and how to apply to the program
Sign up to our mailing list to receive information about the program.
Our program will prepare you to:
- Manage significant software development projects
- Lead teams of information technology professionals engaged in design, analysis, implementation, and service delivery
Students who earn a Master of Information Technology and Analytics (MITA) and specialize in information systems may pursue careers in information risk management with public accounting firms, who need employees with expertise in computer auditing and risk management. These same skills can also be applied in internal auditing for the review and analysis of corporate computer systems.
Applicants are expected to have a bachelor's degree and basic knowledge in calculus and statistics. We particularly welcome applicants with undergraduate degrees in business, industrial engineering, library science, information technology, computer science, and related fields.
Students may take the program on a full-time or part-time basis. Full-time students can complete the program in one year. Part-time students must be able to attend classes during the day.
Tuition, fees, and other program costs are determined by residency. Financial aid is not available through the program, but the program is closely associated with several research centers that employ students and bring them into contact with their industry and government partners:
- The Center for Information Management, Integration and Connectivity (CIMIC)
- The Center of Data Mining and Business Analytics (CDMBA)
- The Rutgers Center for Information Assurance (RUCIA)
- The Rutgers Center for Operations Research (RUTCOR)
For students who will later pursue doctoral study in information technology or accounting information systems, they will have the opportunities to take many of the same courses as students in the Rutgers Business School doctoral programs in information technology, accounting information systems, and operations research.
The Master of Information Technology and Analytics program qualifies as a science, technology, engineering, or mathematics (STEM) field for international students that are considering Optional Practical Training (OPT). More information about OPT and STEM is available at U.S. Immigration and Customs Enforcement.
- 30 credits
- Full-time or part-time study
- Finish in as little as one year (full-time)
- STEM qualified program for international students considering Optional Practical Training (OPT)
- Based out of Newark campus
A Unique Approach to Career Management
Master of Information Technology and Analytics Career Management assists students to prepare them to become competitive candidates in the IT & Analytics job market.
Through our unique Career Management Program, Course-CMP, we help students effectively market their value to prospective employers and pursue their post- graduate goals by providing wide resources.
Student & Alumni Voices
Dr. Vijay Atluri received her B.Tech. in Electronics and Communications Engineering from Jawaharlal Nehru Technological University, Kakinada, India, M.Tech. in Electronics and Communications Engineering from Indian Institute of Technology, Kharagpur, India, and Ph.D. in Information Technology from George Mason University, USA. She is a Professor of Computer Information Systems in...
Professor & Co Director
Professor Alizadeh is a leading authority in the area of mathematical optimization. He is one of the originators of the field of semidefinite programming which has found numerous applications in areas as wide as quantitative finance, statistical learning theory, computer science and engineering. His work are some of the most...