Figures speak louder than words: the University of Wolverhampton boasts an outstanding graduate employability rate – 96% of students are in work or further training six months after graduation!
Facilities
The course will be run on the City Campus, which is situated in the heart of the city centre, only a seven-minute walk from both the train station and St Georges Metro terminus, and a five-minute walk from the main bus station.
The newly renovated City Campus features:
- The Harrison Learning Centre, which has four floors of electronic, online, hardcopy and audio-visual materials;
- The Technology Centre, which has 500 PCs available for your personal use;
- A 'Social Learning Space', which incorporates a coffee and sandwich bar with islands of PCs and comfortable seating;
- On-campus food court, shops, and outlets such as Starbucks;
- Sports facilities including a gym and a sports hall;
- Three Halls of Residence for 1,000 students, located only a short walk from the campus and next to a 24-hour supermarket;
- City centre location, close to all amenities (post office, restaurants, shopping centres, art gallery, theatre etc.);
- Excellent train connections to all major cities (Birmingham: 20 minutes, London: 1 hour 50 minutes).
The researchers leading the course are international experts in their fields.
Dr. Michael Oakes
Course Leader and Reader in Computational Linguistics
Research Group in Computational Linguistics
Dr. Oakes is the author of the books “Statistics for Corpus Linguistics” and “Literary Detective Work on the Computer”.
Modules: Computational Linguistics, Corpus Linguistics with R.
Dr. Frédéric Blain
Lecturer of Translation Technology
Research Group in Computational Linguistics
Dr. Blain is co-organiser of the international shared task on Quality Estimation at the Conference on Machine Translation (WMT
Modules: Machine Translation (lead), NLP seminars (lead), EMTTI Specialised Seminars (co-lead)
Dr. Burcu Can
Reader in Computational Linguistics
Module Leader of Machine Learning for NLP
Research Group in Computational Linguistics
Modules: Machine Learning for NLP
Dr. Raheem Sarwar
Lecturer in Natural Language Processing
Research Group in Computational Linguistics
Dr. Sarwar has more than 5 years of hands-on experience in NLP, AI, Software Development and has co-authored over 20 peer-reviewed scholarly articles
Modules:Python Programming
Dr. Victoria Yaneva
Research Associate
Research Group in Computational Linguistics
Dr. Yaneva was recently featured on ITV news for her work on simplifying text for people with autism.
Modules:Research Methods and Professional Skills
Guest lectures will be given by Prof. Patrick Hanks, a world authority in Lexicography, and Prof. Ruslan Mitkov, Director of the Research Institute of Information and Language Processing, Editor of the “Oxford Handbook of Natural Language Processing” and Executive Editor of the Cambridge Journal “Natural Language Engineering”.
Learn more about our Research Group through visiting our website. Find out about current members, recent news, projects and read past papers written. http://rgcl.wlv.ac.uk/
Follow us on Twitter to keep up to date with our latest news and developments at @RGCL_WLV.
Watch recently graduated PhD student and now Research Associate, Dr. Victoria Yaneva, share her research on ITV Central into innovative technology to assist people with Autistic Spectrum Disorder with their digital text comprehension. https://www.youtube.com/watch?v=9YbLfekcx8w&feature=youtu.be
Find out about Dr. Vinita Nahar’s (past group member) innovative research into technology to detect Cyberbullying online http://www.itv.com/news/central/topic/cyber-bulling/.