The M.Tech. Computing Systems and Infrastructure curriculum is designed to provide comprehensive knowledge and skills required for career advancement in IT infrastructure management. The coursework spans four semesters, with the first three semesters covering required coursework and the fourth semester dedicated to Dissertation/Project Work. Students need to complete at least 12 courses plus a final dissertation. The curriculum includes a mix of core courses and electives. Core courses in the first semester include Network Security, Design and Operation of Data Centers, and Middleware Technologies. Second semester core courses include Cloud Computing, Advanced Computer Networks, and Infrastructure Management. The third semester focuses on elective courses, allowing students to customize their learning based on career interests. Available electives include Cryptography, Cyber-Physical Systems, Data Warehousing, Introduction to DevOps, Network Programming, Networked Embedded Applications, Service-Oriented Computing, Software Development for Portable Devices, Telecom Network Management, Web Technologies, Wireless & Mobile Communication, Data Storage Technologies & Networks, IT Infrastructure Projects & Process, Introduction to Data Science, and Database Design and Applications. The choice of electives is made available to enrolled students at the beginning of each semester, with a limited selection offered at the discretion of the Institute.

The M.Tech. Computing Systems and Infrastructure programme is designed around a powerful educational approach called Work Integrated Learning (WIL). This internationally recognized approach involves three parties - the student, educational institution, and employer organization - and consists of authentic work-focused experiences as an intentional component of the curriculum. The BITS Pilani Work Integrated Learning Programmes are designed in collaboration with industry partners and subject matter experts, enabling students to remain relevant in their chosen profession. The programme emphasizes experiential learning that allows learners to apply concepts learned in the classroom to simulated and real work situations. This is achieved through simulation tools and deployment environments including NS2, Net-SNMP, CPU-OS Simulator, Amazon's Compute and Storage platforms, Apache cloud suite, and other open-source tools/frameworks. The curriculum includes continuous assessment through graded assignments, quizzes, mid-semester exams, and comprehensive exams. Carefully chosen real-world cases and assignments are used as problem-solving exercises, and the final semester dissertation or project work allows students to apply their knowledge to complex real-world scenarios. This approach enables working professionals to pursue the programme without any career break, with live lectures conducted mostly on weekends or after business hours.