College of Engineering and Sciences

Course Detail

The Institute of Business Management’s Masters of IoT Systems Management (ISM) is a multidisciplinary degree that bridges academic disciplines of IoT, Systems Engineering and Management to facilitate degree completion. This degree offers students the opportunity to select two focus areas of study (a primary related to IoT Systems and a secondary related to its Management). Each student will be assigned an advisor in the college that fields their primary focus area. This degree is also designed for non-traditional students, returning students, students who arrive at IoBM with 16 years of teaching. Intake is from Engineering, Medical, Computing and other relevant disciplines.


Learning the Internet of Things (IoT) can prove to be vital to help in your career. An exciting stream of future IoT applications will arise starting from 2021-2025 that would bring computer interactivity to life. The new-age concept of IoT will allow people to interact over great distances in real-time – both with each other and with machines – and this may create sensory experiences.

This course is designed to provide you with the opportunity to acquire knowledge across a range of computing and engineering systems disciplines and develop skills in the use of cloud computing, communication systems, cyber physical systems and security.

You will benefit from access to our modern facilities which include a range of professionally equipped laboratories and on campus IoT communication infrastructure. We have installed an IoT Gateway on campus, which will be used to connect our IoT sensors and edge devices; such as Arduinos and Raspberry Pi's, to a cloud for IoT.

Program Scope

In Pakistan, shift is focused towards rapid growth of data networks, as well as towards electronically facilitated services particularly in the public sector. IoT System Managers design develop test and supervise deployment of electrical systems and electric devices. They are expected to work on the design of sub-micron Digital and Analogue Integrated Circuits, Digital Signal Processors, Control System Design and Testing services. The Master of Science (MS) program in IoT Systems Management is designed to prepare students for technically demanding careers in industry as well as for research career in IoT and related fields. More specifically:

  • It requires students to build depth in an IoT Systems Management specialization, selected from areas such as signal processing and communication, systems and control, electromagnetics and photonics, and material circuits and devices.
  • It affords students the opportunity to flexibly choose graduate electives to explore technical or professional interests within engineering.

This requires an ability to apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solution to IoT Systems Management problems. These are :

  1. an ability to understand the impact of professional solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development;
  2. commitment to professional ethics and responsibilities and norms of engineering practice;
  3. an ability to work effectively, as an individual or in a team, in multifaceted and /or multidisciplinary settings;
  4. an ability to communicate effectively, orally as well as in writing, with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions;
  5. an ability to demonstrate management skills and apply engineering principles to one’s own work, as a member and/or leader in a team, to manage projects in a multidisciplinary environment;
  6. an ability to recognize importance of, and pursue lifelong learning in the broader context of innovation and technological developments;
  7. knowledge of contemporary issues.

With the challenges faced on a global level (Sustainability, health, environmental protection) there is a new need for companies and organizations to integrate technical and business skills to solve these difficult problems.

The program objectives are to provide expertise in the areas of hardware-software in wireless communications and IoT end terminals including the following

  1. Apply knowledge of strategy, marketing, digital technology, and big data analytics to complex Industry 4.0 & beyond challenges, including 3D Printing, Artificial Intelligence (AI), Machine Learning (ML), Blockchain and Cybersecurity.
  2. Develop expertise in mapping processes of industry and strategizing the conversion to a digital platform.
  3. Identify operations that can be automated to maximize efficiency and optimize resources (people, process, technology) using IoT-based infrastructure.

In general following are the prime objectives of MS program:

  1. To understand the operating principles of IOT Systems Management.
  2. To meet all HEC requirements for the MS program including thesis proposal and implementation.
  3. Solve real world research problems related to IoT Systems Management according to the international standards.
  4. To simulate, design, analyze and implement IoT Systems Management research projects.
  5. To communicate effectively in a team and with stake holders.
  6. To work independently and conduct lifelong learning and adapt readily to changing situations and manage to demonstrate consistent professional ethics with high integrity.
  7. To adapt the research ethics and methodologies to carry out high quality research work.

Engineering/Computing Graduates holding BS / 16 years of education in Engineering/Computing subjects from HEC recognized institutions with minimum 50% marks in overall academic career or equivalent:

  • Meet all HEC stipulated requirements.

In addition, for Non-Computing and Non-Engineering background, following four project-based courses are mandatory (as deficiency courses)

  1. Fundamentals of Programming
  2. Data Structures and Algorithm
  3. Microprocessor & Microcontroller Fundamentals
  4. Computer Networks

Apply Now

Interested in this program? Visit the admissions page for more information.

new admission img