Putting theory into practice: Azeem's live project experience
Azeem Aslam arrived in Salford from Pattoki, Pakistan to study MSc Internet of Things with Data Science. During his course, he has completed a project with leading consulting firm, WSP, which has allowed him to put his theoretical learning into practice.
Carry on reading to find out more about his experiences.
Choosing Salford
“I choose the University of Salford for my master’s in Internet of Things with Data Science due to its esteemed standing in providing education that is tailored to the needs of the industry and its exceptional track record in research.
Salford is also perfectly located minutes from Manchester city centre, a focal point for digital innovation and technology which offers exceptional prospects for collaboration and networking with prominent firms and organisations such as Siemens, IBM and Cisco.
The new Science, Engineering and Environment building offers state-of-the-art facilities such as the IoT laboratory and data science hub. These facilities allow students to gain practical experience with advanced technology used in the sector.
Overall, I found that the University provides an ideal blend of academic prowess, practical learning and ample employment prospects that will help me reach my goals.”
MSc IoT with Data Science
“The course encompasses a diverse array of modules spanning from IoT hardware and software to data analytics and machine learning which has given me a thorough understanding of the discipline. I have also gained hands-on experience in programming languages Python and R and industry-standard tools such as AWS IoT, Azure IoT, and TensorFlow.
The hands-on workshops and project-based learning methodology enable me to implement the theoretical knowledge acquired during lectures into practical situations, providing me with invaluable experience and skills that are in high demand within businesses.
As part of the course, I worked on a real-world project with renowned consulting firm, WSP. The task was to analyse traffic patterns and pedestrian behaviour in Hertfordshire using Convolutional Neural Networks (CNNs) and You Only Look Once (YOLO) object detection algorithms to build a reliable computer vision system using OpenCV and Python. I worked closely with the WSP team to ascertain their needs and integrate my system with their current traffic analysis tools.
As a result of this project, my technical proficiency in deep learning, computer vision and data analytics has improved greatly. I also enhanced my problem-solving abilities and built a strong network of contacts within WSP which I believe will make me more competitive in the job market and an appealing candidate to employers.”
Next steps
“After graduating I would like to pursue a PhD because I believe that by conducting original research, I will be able to play my part in growing the industry. I am passionate about the potential of IoT and data science to transform industries and improve the quality of life for many people.
I will be able to drive innovation, enhance decision making and have a positive impact on a variety of sectors and organisations by becoming a top specialist on the Internet of Things with Data Science. I aspire to establish myself as a thought leader and make a substantial contribution to the field.
To future international students, I would say though setbacks are inevitable remember that if you believe in yourself and your ability to flourish you will succeed in your new surroundings.”