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STEM Computing and Communications

Discover teaching, research and people across STEM Computing and Communications.

About

The School leads and shapes the digital revolution through delivering innovative and dynamic teaching that is relevant to the workplace, and is founded on world-class research and scholarship in computing and communications.

We offer a range of undergraduate degrees and modules in computing and communications, including foundation degrees and degrees with another subject. We also provide a range of specialist taught masters degrees and research degrees.

We have a wide range of research interests, with a common theme of effectively integrating technology into our lives, addressing real individual and social issues to enhance human experience.

The School of Computing & Communications brings together a diverse academic community who are passionate about delivering world-leading teaching, research and scholarship in computing and communications. Through these activities, we aim to empower our students, their employers and society in general to develop and use digital technologies to solve the problems of the future.

The school has around 80 academic and research staff and 30 research students. Most of them are at the main campus in Milton Keynes, with others in various locations throughout the UK. We have many associate lecturing staff across the UK, supporting our undergraduate and masters students.

We offer degrees and modules in a range of topics, including programming, social implications of computing, networking, software engineering, human-computer interaction, and many others.

Latest School of Computing and Communications publications

Displaying 5 of 2628 publications

  • Yao, G., Tang, Y., Wu, H., Cao, J., Sui, Y., Song, D. and Ji, S., 2027, ‘U-RAG: Utility-aware Retrieval-Augmented Generation via marginal gain modeling’, Information Processing & Management, 64(2 Part B), https://oro.open.ac.uk/112304/.
  • Bennasar, M., Muftah, A., Zisman, A., Katz, D., Johnston, A. and Muhammad, A., 2027, ‘Hybrid Intent Classification for AAC: A Multi-stage LLM Pipeline for Gesture Support in Cerebral Palsy’, in Miesenberger, Klaus; Petrie, Helen and Peňáz, Petr eds. Computers Helping People with Special Needs. Lecture Notes in Computer Science (16866). Cham: Springer, pp. 490–498., https://oro.open.ac.uk/111708/.
  • Zhao, T., Meng, L. and Song, D., 2026, ‘MADSC: Aspect-aware description and calibrated alignment for unified Multimodal Aspect-Based Sentiment Analysis’, Pattern Recognition, 179, https://oro.open.ac.uk/109854/.
  • Uwasomba, C., Sharp, H., Lopez, T., Wermelinger, M., Deshpande, A. and Gregory, P., 2026, ‘Do Large-Scale Agile Frameworks Encode Socio-Technical Resilience? In: 20th International Symposium on Empirical Software Engineering and Measurement (ESEM 2026), Oct 4 to October 9 2026, Munich, Germany’, https://oro.open.ac.uk/111551/.
  • Cai, X., Liu, J., Liu, C., Bao, L., Yu, Y. and Jiang, L., 2026, ‘Fortifying the Seams Between C/C++ and Rust: Characterizing Bugs in Interop Tools’, ACM Transactions on Software Engineering and Methodology, 35(10), https://oro.open.ac.uk/108138/.