Master of Science in Information Technology

About

The Rensselaer M.S. in Information Technology balances the study of management strategies and technology leadership with advanced course work in an IT concentration. Students complete a suite of core and capstone courses and also select three to five additional courses to complete their concentrations. Professional and research tracks are offered for the M.S. in IT degree. Students who successfully complete this program will be able to demonstrate: Core knowledge in database systems, data analytics, software design and engineering, management of technology and human-computer interaction. Detailed knowledge in one or more ITWS domain areas. Strong communication skills with colleagues, both technical and non-technical. A high level of professionalism in the execution of IT projects or research (Professional Track). Proficiency in research methods and analysis (Research Track). Focus Tracks are designed to provide an in-depth experience in the application of Information Technology.  Students choose from one of twelve focus tracks and complete a minimum of 3 courses within their focus track; Cognitive Computing, Data Science and Analytics, Database and Intelligent Systems, Financial Engineering, Human-Computer Interaction, Information Dominance, Information Security, Information Systems Engineering, Management Information Systems, Networking, Software Design and Engineering.

Career Path

Career path includes Software Developer, Full Stack Engineer, Web Developer, Cloud Solutions Architect, Mobile App Developer, DevOps Engineer, Systems Administrator, Database Administrator, Cybersecurity Analyst, Information Security Manager, Ethical Hacker / Penetration Tester, Security Software Developer, Risk and Compliance Analyst, Information Assurance Specialist, IT Support Specialist, Data Scientist, Data Analyst, Business Intelligence Analyst, Machine Learning Engineer, Big Data Engineer, AI/ML Developer,IoT Solutions Architect, Robotics Software Engineer, Blockchain Developer, Augmented Reality (AR) Developer, Quantum Computing Analyst, Network Engineer, Data Management Specialist.