MS in Embedded Systems & IOTs

Program Description

The Masters in Embedded Systems and IoTs focuses on providing students with a sound understanding of embedded systems engineering and IoT applications. The program covers essential topics related to the design, implementation, and analysis of embedded systems and IoTs. It provides a comprehensive coverage of embedded technologies, IoTs, tools, and trends that are highly relevant to the national and international industry. The program is structured to offer a balance of theoretical and practical aspects of embedded systems and IoTs, enabling students to gain the knowledge and skills required for designing such systems. The program aims to produce graduates who are well-equipped to address the challenges of the rapidly evolving field of embedded systems and IoTs.

Why Study at PAF IAST?

Location and Ambience

PAF IAST is nestled in natural mountains that flank its campus from all sides, offering one even the ravishing view of snow-capped peaks of Nathiagali and natural winding trails. To its north-west is Tarbela Lake, a journey of only a few kilometers from the campus. Set in the middle of the campus is a natural lake, fed by the springs of surrounding mountains. The campus is just a 3-kilometer drive from the Hazara Motorway. The ideal setting equally conducive to academic activity and aesthetic sensibilities of the human eye is a serene island of its own kind, far from the chaos, congestion, and cacophony of metropolitan culture. The major cities like Islamabad, Abbottabad, are just an hour’s drive, while small towns like Wah, Hasanabadal, Taxila, and Swabi can be reached in just half an hour.

Technology Advancement and Foreign Partnership

This institute is an emerging center of excellences, with its own technology park. All faculty members hold PhD degrees in appropriate disciplines. By virtue of its wide array of facilities and the facilitation for its students to learn and benefit both from classroom teaching and faculty trained at premier Austrian universities/institutions, the institution is ideally cut out for imparting state-of–the-art engineering and allied education in Pakistan. The institute enjoys close linkages with top ranking universities in Austria and China. We have already concluded with them formal agreements regarding student and faculty exchange programs, provision of dual degrees in certain areas, and the training support from foreign faculty. cities like Islamabad, Abbottabad, are just an hour’s drive, while small towns like Wah, Hasanabadal, Taxila and Swabi can be reached in just half an hour.

Academia-Industry Relationship

There is a strong synergetic relationship between academia and industry which paves the way for job opportunities for students even in the midst of their studies. PAF IAST will serve as a welcome platform for the industry to share their requirements for a skilled workforce. This will enable the institute to incorporate their valuable inputs in practical vocational training and expose the students to industrial perspectives

On-Spot Industry Internship

It will be a mandatory requirement for every student to do an internship every semester in an appropriate industry. This will garner them practical experience related to their respective degree programs. To crown it all, Technology Park will afford them rare opportunities to apply themselves innovatively and become promising entrepreneurs.

Need and Merit-based Scholarships

Different types of local and foreign scholarship opportunities are available on need and merit base.

Associated Careers

Embedded systems and IoT industries are spreading widely due to the tremendous demand of smart devices for household and industrial applications. These rapid changes create industry demand for professionals who can analyze, design, and implement embedded systems for various applications. These graduates will get opportunities in various local and international industries related to embedded hardware and software design, embedded firmware, embedded machine vision and artificial intelligence, IoT services and applications etc. Graduates of this program have numerous opportunities to serve Pakistan.

Descon Engineering

Air Weapon Complex

National Institute of Electronics

National Engineering and Scientific Commission (NESCOM)

AKSA Solutions Development and Services, Pakistan

HORIZON Technologies

Nextek Services

HUAWEI

Siemens Engineering Co. Ltd. Pakistan

PLC Group, Pakistan

National Database and Registration Authority (NADRA)

Pakistan Telecommunication Company Limited (PTCL)

Degree requirements:

The minimum and maximum program duration are 3 semesters (1.5 years) and 8 semesters (4 years), respectively. For the award of MS (Embedded Systems and IoTs), candidates will either need to complete 30 credit hours of coursework or complete 24 hours of coursework along with 6 credit hours of research work/thesis. All core courses (total 12 credit hours) are mandatory. The remaining credit hours shall be completed by studying courses from the list of electives. Additionally, Research Methodology, a non-graded 2 credit hour course must also be passed.

Course Curriculum

Core Courses

  • ECE-813 Advanced Digital Integrated Circuit Design 
  • ECE-866 IOT Embedded System Firmware 
  • ECE-863 Advanced FPGA-based Systems Design 
  • ECE-865 Developing Industrial Internet of Things 

Elective Courses

  • ECE-842 Embedded Machine Vision and Intelligent Automation 
  • ECE-843 Embedding Sensors and Actuators 
  • ECE-864 Advanced Embedded System Design 
  • ECE-804 High Speed Digital Design 
  • ECE-867 Embedded Interface Design 
  • ECE-852 Digital Signal Processing using FPGA 
  • ECE-802 HDL and High-Level Synthesis 
  • ECE-869 IoT development with Wireless Communication 
  • COMP-850 Advanced Computer Networks 
  • ECE-835 Wireless Channel Modelling for IoTs 
  • ECE-805 AI for IoT Communications 
  • ECE-806 Advanced Computer Architecture  
  • COMP-849: Computational Intelligence and IoT 
  • COMP-842: Advanced Machine Learning 
  • COMP-844: Advanced Deep Learning 
  • COMP-940: Computer Vision and Pattern Identification 
  • COMP-843: Advanced Artificial Neural Networks 
  • COMP-847: Advanced Digital Image Processing 
  • COMP-943: Distributed Data Processing and Machine Learning 
  • COMP-990: Advanced Topics in Computing 
  • COMP-850: Time Series Analysis and Prediction