Are you interested in working with cutting-edge technology at the forefront of language processing?
MA Computational Linguistics is a course run by a leading research group at the University of Wolverhampton. As a Masters student on this course, you will be part of our Research Institute of Information and Language Processing (RIILP), an independent, research-driven University unit specialising in Linguistics and Natural Language Processing.
As the name suggests, Computational Linguistics (sometimes called Natural Language Processing) is the use of computers to study language. On the course, you will be able to study:
• How to use Python and the well-established NLTK library to process natural language texts;
• How to analyse real language usage;
• How to automatically translate text using computer programs;
• The use of computers to study features of language;
• Translation tools such as translation memory systems;
• Computer techniques for automatically classifying natural language texts;
• Understand how Siri, Amazon Echo and Google Home etc. work;
• How to design an experiment that will thoroughly test your research questions.
You will be mentored through this programme by experienced and leading academics from the field. Join our research group today to become part of this team of leading researchers and academics and create your path to a career in computers and language!
MA Computational Linguistics, when studied full-time, comprises of three semesters worth 60 credits each. Three modules will be studied in both Semester One and Semester Two. During the third semester, students will undertake their research project and complete a 15,000 word dissertation on any aspect of Computational Linguistics.
The course covers all aspects of Computational Linguistics in-line with current and leading work in research and industry, and is divided into the following taught modules:
1. Computer programming in Python
The students will be taught the Python computer programming language, which is specially designed for dealing with natural language texts.
2. Corpus Linguistics in R
Corpus Linguistics involves storing large amounts of text on the computer for linguistic analysis. R is a programming language used to study the statistics of language.
3. Machine translation and other natural language processing applications
The automatic translation of text using statistics. The members of the Research Group will each speak on their own research areas throughout the module.
4. Computational Linguistics
The use of computers to study language at all levels, such as relations between words, part of speech tagging, syntactic parsing and anaphora resolution.
5. Translation tools for professional translators
Using computer tools to speed up many aspects of translation, such as product manuals, film scripts, medical texts, video games and simultaneous interpreting.
6. Machine learning for language processing
Computer techniques for automatically classifying natural language texts, for NLP tasks such as making summaries of text automatically.
7. Research methods and professional skills
You will learn how to design an experiment to thoroughly test your research questions.
Translation Tools for Professional Translators is an elective module that may be chosen in the Second Semester to replace another taught module for those students who are interested in pursuing careers in Translation.
You will be expected to dedicate 9 hours per week to lectures and a proportionate amount of time to self-study and tutorials with your supervisor.
- You will be taught by leading researchers in the field: our teaching staff at the Research Institute of Information and Language Processing (RIILP) are engaged in high-quality research, as evidenced by the latest RAE 2008 and REF 2014 results.
- We offer an exciting programme of invited lectures and research seminars, attended by both students and staff;
- The institute has a wide network of contacts in academia and in the industry from which you will be able to benefit.
The knowledge and skills developed in the course will be assessed in a variety of ways. Assessments will include writing assignments on given topics, reports on practical work carried out in the class, portfolios, projects, oral presentations, and tests.
The culmination of the study programme will be your 15,000-word dissertation, which will allow you to carry out an in-depth study of a chosen topic within the areas of corpus linguistics, language teaching, lexicography, or translation.
Graduates of this course will be well-placed to continue their academic/research careers by applying for PhD positions within RIILP or at other leading centres for language and information processing. This degree will also enable graduates to access research and development positions within the language processing and human language technology industries, as well as in related areas such as translation, software development and information and communication technologies, depending on their specific module choices and dissertation topic. It should be noted that computer programming is a skill that is increasingly sought after by many companies from technological backgrounds and skills gained from this course will place graduates in a good position to take up such posts. Past graduates from this course have also gone on to successful careers specifically within the computer programming industry.
The practical sessions include working with tools and software and developing programs based on the material taught in the lectures, allowing you to apply the technical skills you are learning. Some of the tasks are group based, feeding into the collaboration aspect of blended learning which enhances team-working skills, and some are done individually. Through portfolio building, you will be able to share your learning with other students. You will also be able to enhance your employability by sharing your online portfolio with prospective employers. Some assessments will require you to present your work to the rest of the class, enabling you to develop your presentation skills, which are useful in both academia and industry. Other transferrable skills are the abilities to structure your thoughts, present your ideas clearly in writing and prepare texts for a wider audience. You will acquire these skills through assessed report and essay writing, and most of all through writing your dissertation.
Cognitive Science is a discipline in growing demand, and Edinburgh is a widely recognised leader in this area, with particular strengths in natural language, speech technology, robotics and learning, neural computation and the philosophy of the mind.
You will gain a thorough grounding in neural computation, formal logic, computational and theoretical linguistics, cognitive psychology and natural language processing, and through a vast range of option courses you will develop your own interests in this fascinating field.
You follow two taught semesters of lectures, tutorials, project work and written assignments, after which you will learn research methods before individual supervision for your project and dissertation.
You will choose a ‘specialist area’ within the programme, which will determine the choice of your optional courses. The specialist areas are:
There are several optional courses to choose from, such as:
This programme will give you a deep understanding of the expanding domain of cognitive science through formal study and experiments. It is excellent preparation for a rewarding academic or professional career. The quality and reputation of the University, the School of Informatics and this programme will enhance your standing with many types of employer. Recent graduates are now working as software engineers, analysts and language scientists for companies such as British Telecom and Intel.
This intensive programme offers an exciting opportunity to learn from world leaders in both informatics and linguistics. Drawing from our cutting-edge research, the programme’s content covers all areas of speech and language processing, from phonetics, speech synthesis and speech recognition to natural language generation and machine translation.
This flexible programme provides research or vocational training and can be either freestanding or lead to PhD study. The modular nature of the programme allows you to tailor it to your own interests.
Taught by leading researchers from Linguistics & English Language, the Centre for Speech Technology Research and the School of Informatics, this programme combines elements of linguistics, computer science, engineering and psychology.
You will develop up-to-date knowledge of a broad range of areas in speech and language processing and gain the technical expertise and hands-on skills required to carry out research and development in this challenging interdisciplinary area.
You study two semesters of taught courses, followed by a dissertation.
Most core compulsory courses have both computational and mathematical content. A few optional courses need a stronger mathematical background. Courses in the second semester can be tailored to your own interests and abilities.
Option courses may include:
This programme aims to equip you with the technical knowledge and practical skills required to carry out research and development in the challenging interdisciplinary arena of speech and language technology.
You will learn about state-of-the-art techniques in speech synthesis, speech recognition, natural language processing, dialogue, language generation and machine translation.
You will also learn the theory behind such technologies and gain the practical experience of working with and developing real systems based on these technologies. This programme is ideal preparation for a PhD or working in industry.
This programme will provide you with the specialised skills you need to perform research or develop technology in speech and language processing. It will also serve as a solid basis for doctoral study.
Data science is the study of the computational principles and systems for extracting knowledge from data, for maintaining data, and for ensuring its quality. Large data sets are now generated by almost every activity in science, society and commerce.
This EPSRC-sponsored programme tackles the question: how can we efficiently find patterns in these vast streams of data?
Many research areas in informatics are converging on the problem of data science. Those represented in the School include machine learning, artificial intelligence, databases, data management, optimization and cluster computing; and also the unstructured data issues generated in areas such as natural language processing and computer vision.
Our programme will allow you to specialise and perform advanced research in one of these areas, while gaining breadth and practical experience throughout data science.
A short sample of our research interests includes:
Many more topics can be found by exploring the Centre’s web pages, particularly the personal web pages of the Centre supervisors:
You will be supervised by one of our 58 world-renowned faculty. You will also benefit from interacting with a group of 35 leading industrial partners, including Amazon, Apple, Google, IBM, and Microsoft.
This will ensure your research is informed by real world case studies and will provide a source of diverse internship opportunities. Moreover we believe that key research insights can be gained by working across the boundaries of conventional groupings.
The MScR is the first part of a longer 1+3 (MSc by Research + PhD) programme offered by the School through the EPSRC.
Our four-year PhD programme combines masters level coursework and project work with independent PhD-level research.
In the first year, you will undertake six masters level courses, spread throughout machine learning, databases, statistics, optimization, natural language processing, and related areas. You will also undertake a significant introductory research project. (Students with previous masters-level work in these areas may request to take three courses and a larger project, instead of six courses.)
At the end of the first year, successful students will be awarded an MSc by Research. From this basis, the subsequent three years will be spent developing and pursuing a PhD research project, under the close supervision of your primary and secondary supervisors.
You will have opportunities for three to six month internships with leading companies in your area, and to participate in our industrial engagement programme, exchanging ideas and challenges with our sponsor companies.
Throughout your studies, you will participate in our regular programmes of seminars, short talks and brainstorming sessions, and benefit from our pastoral mentoring schemes.
The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.
Our research groups contain a diverse range of compute clusters for compute and data-intensive work, including a large cluster hosted by the Edinburgh Compute and Data Facility.
More broadly, the award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.
It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.
Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.
Among our entrepreneurial initiatives is Informatics Ventures, set up to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.
We intend for our graduates to become the research leaders, both in industry and academia, whose work will lead the way in data science. This vision is shared by our industrial supporters, whose support for our internship programme indicates their strong desire to find highly qualified new employees.
You will be part of a new generation of data scientists, with the technical skills and interdisciplinary awareness to become R&D leaders in this emerging area.
Our component research groups already have excellent track-records in post-graduation destinations, including the research labs of industry-leading companies, and post-doctoral research positions in top tier universities.
If you want to get involved in our next industry revolution - Industry 4.0 this degree will go a long way to providing you with many skills needed in this high growth industry area which has continued from where the mass communications revolution. You must have covered either computer science or electrical and electronic engineering as your first degree or a suitable combination to study this Master's degree. The digital age is changing the way we live, communicate, interact and our quality of life rapidly. Cloud based networks are now normal, autonomous vehicles are being explored, visual recognition, GIS aligning to our search interests, data mining to inform us automatically at any point in time what is happening around us and new methods to inform us of danger, awareness, alerts and so on.
Artificial Intelligence provides in depth knowledge of data mining, natural language, information visualisation and communication used in Industry 4.0 innovation industries such as autonomous vehicles, sensor data collection and computation, visual computer recognition software and machine to machine technologies. It is also said that artificial intelligence has the potential to change how we research and act to provide immediate solutions to energy, travel, and gridlock before it happens by setting up more alerts and warnings to us. We now already have the capabilities in smart technology to alert us on maps, apps, weather stations, lighting, sensors and other electronic and wired machine to machine devices to provide instant relevant information.
You are also advised to visit the organisation websites via the link below to find out about the innovations which may be influenced by AI:
You can broaden and deepen your skills with industry client opportunities where possible
Find out more detail by visiting the programme web page
Find out about fees:
*Please be advised that some programmes have different tuition fees from those listed above and that some programmes also have additional costs.
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Find out more about living in Aberdeen and living costs
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This MSc is taught at the UK’s longest established centre for artificial intelligence, which remains one of the best in the world.
Our research draws on neuroscience, cognitive science, linguistics, computer science, mathematics, statistics and psychology to span knowledge representation and reasoning, the study of brain processes and artificial learning systems, computer vision, mobile and assembly robotics, music perception and visualisation. We aim to give you practical knowledge in the design and construction of intelligent systems so you can apply your skills in a variety of career settings.
You follow two taught semesters of lectures, tutorials, project work and written assignments, after which you will learn research methods before individual supervision for your project and dissertation.
You will choose a 'specialist area' within the programme, which will determine the choice of your optional courses:
You can choose from a variety of optional courses including:
Our students are well prepared for both employment and academic research. The emphasis is on practical techniques for the design and construction of intelligent systems, preparing graduates to work in a variety of specialisms, from fraud detection software to spacecraft control.
Recent graduates are now working as software developers and engineers, programmers and data analysts for companies such as HarperCollins, J.P. Morgan, Nokia, IBM, Amazon, Soundcloud and the Bank of England.
The MSc covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and is an ideal preparation for roles with some of the best internet-related industries and areas requiring big data analytical skills.
Students will gain a detailed knowledge and understanding of web-related technologies and big data analytics, ranging from information search and retrieval, natural language processing, data mining and knowledge acquisition, large-scale distributed data analytics and cloud computing to e-commerce and their business economic models and the latest concepts of social networks.
MSc students undertake modules to the value of 180 credits.
The programme consists of three core modules (45 credits), five optional modules (75 credits), and the research dissertation (60 credits).
Students must choose a minimum of 45 and a maximum of 75 credits of optional modules. Up to two electives (30 credits) may also be chosen instead of two of the optional modules.
Please note: the availability and delivery of optional modules may vary, depending on your selection.
A list of acceptable elective modules is available on the Departmental page.
All students undertake an independent research project which culminates in a substantial dissertation.
Teaching and learning
The programme is delivered through a combination of lectures, tutorials and seminars. Lectures are often supported by laboratory work with help from demonstrators. Student performance is assessed by unseen written examinations, coursework and the dissertation.
Graduates from UCL are keenly sought after by the world's leading organisations, and many progress in their careers to secure senior and influential positions. Graduates of our Web Science and Big Data Analytics programmes are expected to develop careers in scientific research, the internet-based industry and other professional areas that require big data analytics skills.
Recent career destinations for this degree
The MSc has a unique industry connection as almost all our lecturers have industry experience. Through long-term collaborations with big players in the field such as Google, Microsoft and BT, research is driven by the fundamental technical challenges faced by the industry. Throughout the degree, our students have the chance to interact with our industry collaborators and previous students, and have placement opportunities to address the specific technical problems faced by the industry.
UCL Computer Science is recognised as a world leader in teaching and research.
UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).
Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries, from entertainment to finance.
We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.
Learning how to build the intelligence used to power the future of the Web.
The Web has provided us with novel ways to maintain our social networks, rapidly search for information, and make purchases from the comfort of our own home. Most of us take these technologies for granted. However, for the Web to function as it does numerous problems had to be solved: which pages should surface given your search query? Which status updates will you enjoy most? Or, how do we make sure you find the products that you where looking for?
These questions are solved using a combination of machine learning, and an understanding of users. As our use of the Web steadily grows, new questions are continuously emerging. Smarter and faster solutions to empower an intelligent Web are needed. In the Master’s specialisation in Web and Language Interaction you’ll learn the building blocks you’ll need to answer resolve future problems that arise on the Web. In this you’ll learn to understand the psychological, technical and statistical aspect of data science and other Web issues.
The key course in this specialisation is the new AI at the Webscale course, in which AI techniques are studied in the context of streaming and massive data. This course is complemented by the App-Lab course, aimed at understanding how Apps are set-up, built and evaluated. Covering human cognition, a choice of courses in psycho-linguistics is offered in line with the broad expertise within the Donders Institute.
See the website http://www.ru.nl/masters/ai/web
- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.
- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.
- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Data Science. This will take three instead of two years.
- Together with the world-renowned Donders Institute, the Max Planck Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.
- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.
- Our AI students are a close-knit group; they have their own room in which they often get together to debate and develop their projects. Every student also receives personal guidance and supervision from a member of our expert staff.
Language Information and Communication Technology lies at the basis of innumerable innovations in our society and has provided remarkable new services (like social media) and new products (like smart phones and tablets). Traditionally, applications of Artificial Intelligence used to be limited to micro worlds and toy systems. The horizon has now been widely extended to distribute mass applications of AI techniques. These developments are supported by a general availability of computation power and connectivity in the form of the web, social media, big data, wireless, and mobile platforms with input and output in many modalities.
Human-human and human-computer communication can be found in natural language applications like in the speech driven free-text systems such as Watson, and Siri, in brand sentiment detection and epidemic monitoring from tweets. But communication is also crucial for web applications and Apps that personalise information and make it accessible with other means. Examples thereof are voter guides, recommendation systems, click stream analysis, crowd sourcing and demand aggregation, e-therapy, e-inclusion, avatars with speech synthesis and recognition, gesture and emotion. Technical issues are e.g. map/ reduce architecture for massive data processing and emerging technologies like the semantic web.
Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Booking.com, Webpower, Google, Facebook, Philips, Booking.com, Philips, Rabobank. Some students have even gone on to start their own companies.
Examples of jobs that a graduate of the specialisation in Web and Language Interaction could get:
- PhD researcher, for example, on enhancing speech recognition using semantic knowledge or in user interaction design for patient doctor communication in a virtual hospital
- Data Scientist in a web start-up
- Developer for Computer Aided Language Learning
- EU R&D programme leader on machine translation of natural language
- Developer of intelligent software for music studios
Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Finland and the United States.
See the website http://www.ru.nl/masters/ai/web
The UCL School of Pharmacy has an international reputation in natural drug discovery and the evaluation of drug leads from natural sources. This MSc has been designed in response to ever-increasing interest in the development and use of medicines derived from natural products.
This programme aims to train students in the methods used to analyse and characterise medicinal natural products, to examine the safety and efficacy of currently used herbal medicines, analytical and bioassay methods, and the ethnopharmaceutical uses of plants from traditional systems of medicines.
Students undertake modules to the value of 180 credits.
The programme consists of five core modules (120 credits), and a research dissertation (60 credits).
All students undertake a four-month research project in the third term which culminates in a dissertation. Topics range from natural product isolation and characterisation, synthesis, analysis, and a survey of medicinal products used in the community.
Teaching and learning
The programme is delivered through a combination of lectures, seminars, tutorials and laboratory-based practical classes. Assessment is through a combination of written examinations, coursework and practical assignments, and the research project and oral presentation.
Further information on modules and degree structure is available on the department website: Medicinal Natural Products and Phytochemistry MSc
Recent graduates of this programme have progressed to careers in herbal, phytopharmaceutical or health food sectors. Some are involved in drug discovery while others pursue a PhD in the UK or overseas.
The programme provides a broad overview of natural product science, the impact of natural products as medicines, their analysis and their place in various societies.
Specifically the programme covers herbal medicines in healthcare and their safety and efficacy, with examples of natural products as medicines. There will also be lectures on the analysis of natural products and their place in the drug discovery process.
A visit to an industrial manufacturer of herbal medicinal products will take place.
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: School of Pharmacy
87% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
This Masters course will give you a completely new insight into how language really works and the way people use words to create meaning.
If you would like to learn how to explore language using innovative techniques and computer tools, then our course will offer you cutting-edge, research-led training of the highest quality, taught by leading researchers in the fields of linguistics and computer science.
You will have options enabling you to study:
- How people use words to make meanings;
- How to analyse real language usage;
- The role of phraseology, metaphor, and idioms;
- Creative and poetic uses of language;
- New approaches to language teaching;
- Translation tools such as translation memory systems;
- Creating dictionaries using new kinds of evidence;
- Using computer tools for teaching and translation.
The course will enable you to develop interdisciplinary knowledge and practical, transferrable skills, enabling you to meet the most recent and relevant demands of the field.
If you are interested technological aspects of language study, you will also have an option to learn basic computer programming – a skill that is increasingly sought after by companies seeking to employ language professionals.
As a Masters student on this course, you will be part of our Research Institute of Information and Language Processing (RIILP), an independent, research-driven University unit specializing in linguistics and natural language processing.
Join our team of international researchers and start exploring language now!
MA Practical Corpus Linguistics for ELT, Lexicography and Translation is an innovative, unique, and up-to-date course based on high-quality interdisciplinary research, with a selection of modules that is unparalleled both on a national and international level. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field. As a result, the knowledge and practical skills developed on the course will allow you to meet the most recent and relevant demands of the industry.
You will become proficient in the use of sophisticated corpus tools such as the Sketch Engine (https://www.sketchengine.co.uk), as well as state-of-the-art specialist software for professional translators and lexicographers. You will also be given an option to learn basic computer programming in Python, which is one of the most robust, popular, and widely used programming languages in the field. By the end of the course, you will have developed a unique set of transferrable skills that will make you highly competitive in the marketplace and allow you to find employment as a language professional in industry or in academia.
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!
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 you to use for work or play;
- 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).
Graduates will be able to pursue a career path in language teaching, translation, lexicography, editing, and human language technology, working either as freelancers or in a variety of industry locations, including publishing houses, translation agencies and IT companies that specialize in the development of language resources and tools (e.g. language learning applications, CAT tools). English language teachers will benefit greatly from the course, as they will develop knowledge and practical skills in using modern lexical resources, corpus data and tools in the preparation of teaching material and in the classroom, which will significantly improve their chances of securing a job in the ELT sector.
The course will also provide a sound intellectual platform for students to progress onto doctorate level study and a career in higher education. As the teaching on the course is based on research carried out within the Research Institute of Information and Language Processing (RIILP), graduates will be well-placed to continue their academic careers by applying for PhD positions within our institute or at other leading centres specializing in Corpus Linguistics, ELT/TESOL, Lexicography, Translation Studies, or Natural Language Processing.