Computer Science MSc

• TBC

These optional resources will familiarise students to fundamental concepts in Computer Science:

• Replit 100 Days of Code (Python)
• Brilliant
• BBC Bitesize (for Computer Science basics)
• Kaggle Learn

• Programme and modules details
• Teaching methodology
• Assessments
• Student Support services
• Employability and Career choices

Dr. Adnan N. Qureshi

Dr. Adnan N. Qureshi received his Ph.D. from the Institute for Research in Applicable Computing (IRAC), University of Bedfordshire, UK. His research areas include bio-medical image and signal processing, computer vision, machine learning, optimization and autonomous systems. He is Programme Leader and Senior Lecturer of Computer Science.

Dr. Vincent Hall

Dr. Vincent Hall is currently working as Lecturer in Computer Science. He is an expert in Data Science and Machine Learning with a first UG masters degree in Physics and Astronomy (Leeds). His MSc was in the Physical Sciences – Life Sciences boundary (Warwick). His PhD entailed creating a Machine Learning method to help Chemists by estimating the structures of proteins with UV light scans. The latest version of this technology, now updated and added to by others, is licenced by Warwick Innovation to Pharma companies, and free for academic use.

Alethe Bailey

Alethe Bailey has a passion for computer science education and a strong commitment to life-long learning. She is convinced that teachers trained to the highest standards would provide children with the best schooling possible. She worked extensively on a range of computing projects and collaboratively with schools and other establishments to enhance teaching and learning.

Dr. James Williams

Dr. James Williams is a Lecturer in Computer Science at Birmingham Newman University, where he delivers modules across the software development and cyber security curriculum. His academic and professional interests centre on the representation and visualization of fuzzy, place-based ‘platial’ data within geospatial computing, with a growing focus on the application of large language models in this space. James also organises initiatives in student engagement, including events and hackathons, while actively collaborating with industry and local communities.

There will be 3 modules per semester with 9 hours of teaching per week on campus.

Your journey into the world of Computer Science begins with strong underpinnings.

In your first semester, you’ll study fundamentals of networking & cyber security, fundamentals of AI & data science and research methods & project management.

You’ll learn to critically analyse real-world problems and design effective solutions using contemporary tools and technologies. At the same time, you’ll be introduced to the ethos of the industry, including a critical awareness of professional and ethical considerations.