Meet Zhongtao Liu, a recent graduate whose computer science masters paved the way for him to secure multiple job offers in automotive engineering - well before his graduation.
The two-year MSc Computer Science course stood out to me because it included a year dedicated to research. I believe a good masters-level course should allow you to explore an area of interest in depth - that’s what distinguishes a masters from a bachelors degree. The course would also be very helpful for anyone considering pursuing a PhD in the future.
The course exceeded my expectations. I was already interested in planning and control for robotics but here I got the chance to learn about it and conduct dedicated research in this area, with two academic papers ready to publish.
The best part
My favourite part of the course is that it offers a variety of module options, allowing you to explore various directions including Data Science with Machine Learning, Big Data Learning and Technologies, Autonomous Robotic Systems, Simulation and Optimisation for Decision Support, Mixed Reality and more.
Modules
For me, the most interesting modules include Autonomous Robotic Systems, which took me through the key knowledge of mobile robotics, and Data Science with Machine Learning, which helped me explore the foundation of modernised AI.
For the Autonomous Robotic Systems module, we tackled five mini tasks that got progressively harder. We began with basic tasks like simple loop control and worked our way up to programming robots to navigate complex mazes. My scores were based on how well I handled each mini task. For the final exam, I had to show my grasp of robotic systems by designing functions for various scenarios, demonstrating my ability to adapt and solve problems creatively.
I attended a weekly two-hour workshop for robotics modules that I found very interesting. Each session involved pairs of students testing their code on a mobile robot, which helped us see the difference between simulations and real-world applications.
It was a great opportunity to improve teamwork and communication skills while learning professional knowledge.
Research
As part of my masters, I researched how to plan and control omnidirectional wheeled robots under the guidance of Professor Praminda Caleb-Solly and Dominic Price at the university’s Cobot Maker Space. During the project, we proposed 2-Step JPS and Drift DWA algorithms for efficient, optimal and drift-style autonomous navigation for four mecanum wheel omnidirectional robots and achieved a 40% increment in navigation efficiency.
My research needed expertise in various areas and equipment, including both software and hardware. My supervisors and the Cobot Maker Space provided all the support I needed. I’m grateful for their knowledge and help and I enjoyed working with them.
Working with a real robot has been incredibly valuable. From designing sensors and planning how the robot perceives its environment to creating and improving control systems, this hands-on experience is unmatched. The skills and knowledge I gained through this research are directly relevant to my future work.
Campus life
My favourite spot on campus is the Djanogly Learning Resource Centre. I’ve spent countless days there, working on tasks or learning just for fun. No matter the time of year or my mood, the view of the greenery, trees, water and wildlife always brings me comfort.
I also discovered a quiet study space on the second floor of the Computer Science Building that quickly became one of my favourites - it’s a great spot to relax.
The on-campus support team are both helpful and friendly, especially the Student Services in the Exchange Building, who are efficient and kind. Welcome Week was a pleasant surprise - it gave me a chance to hear from other PhD students, make valuable connections and enjoy some delicious food.
After graduation
I was offered a great opportunity to pursue a fully-funded PhD thanks to the valuable experience I gained at Nottingham. However, I believe spending some time in industry will help me decide my next steps. I received job offers in my preferred field of automotive engineering before I graduated, so I’m heading in that direction. I feel confident about this choice because of the knowledge I’ve gained and the support from my supervisor.