• University of Southampton Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Jacobs University Bremen gGmbH Featured Masters Courses
  • Goldsmiths, University of London Featured Masters Courses
  • Anglia Ruskin University Featured Masters Courses
  • Swansea University Featured Masters Courses
  • Ross University School of Veterinary Medicine Featured Masters Courses
University of Manchester Featured Masters Courses
FindA University Ltd Featured Masters Courses
University of Reading Featured Masters Courses
Queen Mary University of London Featured Masters Courses
University of Cambridge Featured Masters Courses
"nlp"×
0 miles

Masters Degrees (Nlp)

We have 3 Masters Degrees (Nlp)

  • "nlp" ×
  • clear all
Showing 1 to 3 of 3
Order by 
Goal of the pro­gramme. Read more

Goal of the pro­gramme

Why do languages change? Why does your mobile device suggest funny completions for words you are typing? How did it happen that Finnish is spoken mostly in Finland, but its linguistic relatives are scattered over a larger area? How can you study a language that does not have a standard orthography? Why can you sometimes tell where other people come from just by their accent? Why do some people stick to their dialect, but others give it up when they move to the city? Should you try to support language diversity? Can we save languages that are spoken by a very small number of people? How can computer-synthesised speech be made to sound more human? Why do some languages seem so much more difficult to learn - are they inherently more complex?

This Master's programme will provide you with an understanding of the nature and diversity of human language and with the theoretical tools for working with language material. If you are interested in languages but are unable to decide which of them you want to study, this Master's programme offers several fields of specialisation. One of them might be just perfect for you.

During your studies, you will:

  • gain an in-depth understanding of the basic structure of language, its subsystems (phonology, morphology, syntax, semantics, pragmatics) and their mutual relationships
  • learn the fundamentals of linguistic analysis and language description
  • familiarize yourself with linguistic concepts, theories, descriptive models and the associated research methods
  • learn how language is related to cognition, speech and interaction as well as to social structures, culture and society
  • learn to use various methods and technical tools in order to manage and analyze language data.
  • gain a good understanding of linguistic variation and diversity: what is common to the world's languages and how they differ, how language changes through time, how languages influence one another, how individuals cope with multilingual situations and how communities speaking endangered languages can be supported.

After completing your studies, you will be able to work independently in various fields that require multidisciplinary expertise in linguistic sciences. You will have the theoretical knowledge and skills that are required for postgraduate studies in the doctoral programme in language studies.

Further information about the studies on the Master's programme website.

Pro­gramme con­tents

Linguistic Diversity in the Digital Age is an integrated international programme that offers you a comprehensive view of all subfields of the science of language. As a student in the programme you will be able to choose among four specialist options: (1) General Linguistics, (2) Phonetics, (3) Language Technology, and (4) Diversity Linguistics. 

General Linguistics gives you comprehensive in-depth training in a wide range of theoretical and methodological approaches to language structure and language in use. Special emphasis is put on language typology in a global perspective as well as the documentation and description of endangered and previously undocumented and under-documented forms of speech. 

Phonetics will introduce you to the tools for working with the articulatory, acoustic and perceptional aspects of human speech from a multidisciplinary perspective. At the more advanced level, you will become acquainted with the methods of experimental phonetics. 

Language Technology combines linguistics with digital technology in an interdisciplinary approach with close links to computer science. The focus areas include natural language processing (NLP) for morphologically rich languages, cross-lingual NLP and language technology in the humanities.

Diversity Linguistics encompasses all aspects of linguistic diversity in time and space, including historical linguistics as well as the extralinguistic context of languages: ethnicities, cultures and environ­ments. The areal foci in Diversity Linguistics are Eurasia and Africa. 

These four specialist options interact at all levels. There is a study module common to all students in the programme regardless of the specialist option they choose. The integration of these four perspectives into one programme is unique - no similar programme exists anywhere else.

In the context of “Humanities”, the programme has the closest relationship to natural sciences, and many subfields of the programme involve methods directly linked to laboratory sciences, including digital technology and neurosciences.

The teaching in the programme includes lectures and seminars, practical exercise sessions, reading circles, fieldwork excursions, as well as work practice (internship). The broad spectrum of teaching methods guarantees optimal support for your learning processes. 



Read less
This exciting and challenging programme studies how data can be utilised to solve major business and societal challenges. The programme provides students with the knowledge, technical ability and skills for leadership roles in the fields of business analytics and data science. Read more
This exciting and challenging programme studies how data can be utilised to solve major business and societal challenges. The programme provides students with the knowledge, technical ability and skills for leadership roles in the fields of business analytics and data science.

Degree information

The programme is designed to give students multidisciplinary skills in computing (i.e. programming, big data), analytics (i.e. data mining, machine learning, computational statistics, complexity), and business analysis. Emphasis will be on business problem framing, leveraging data as a strategic asset, and communicating complex analytical results to stakeholders.

Students undertake modules to the value of 180 credits. The programme consists of five core modules (90 credits), two optional modules (30 credits) and a dissertation (60 credits).

Core modules
-Programming for Business Analytics
-Data Analytics
-Information Retrieval and Data Mining
-Introduction to Supervised Learning
-Statistical NLP

Please note: the availability and delivery of modules may vary.

Optional modules
-Applied Machine Learning
-Graphical Models
-Web Economics
-Statistical Models and Data Analysis
-Statistical Design of Investigations
-Decision and Risk
-Consumer Behaviour and Behavioural Change
-Consulting Psychology
-Talent Management
-Data Science for Spatial Systems
-Group Mini Project: Digital Visualisation
-Urban Simulation
-Mastering Entrepreneurship
-Decision and Risk Analysis
-Managing Hi-Tech Organisations

Please note: the availability and delivery of modules may vary.

Dissertation/report
During the summer students will undertake a work placement with a UCL industrial partner. The research and data analysis conducted during this placement will form the basis of a 10,000-word dissertation.

Teaching and learning
The programme is delivered through a combination of lectures by world-class academics and industry leaders, seminars, workshops, tutorials and project work. The programme comprises two terms of taught material, followed by examinations and then a project. Assessment is through unseen written examinations, coursework and the dissertation.

Careers

Graduates of UCL Computer Science are particularly valued due to the department's international status, and strong reputation for leading research. Recent graduate destinations include: IBM, Samsung, Microsoft, Price Waterhouse Coopers, Citibank.

Employability
This programme is designed to satisfy the need, both nationally and internationally, for exceptional data scientists and analysts. Graduates will be highly employable in global companies and high-growth businesses, finance and banking organisations, major retail and service companies, and consulting firms. They will be equipped to influence strategy and decision-making, and be able to drive business performance by transforming data into a powerful and predictive strategic asset. We expect our graduates to progress to leading and influential positions in industry.

Why study this degree at UCL?

UCL Computer Science is a global leader in research in experimental computer science. The 2014 Research Excellence Framework (REF) ranked the department as first in the UK for research, with 96% regarded as internationally excellent.

The department consists of a team of world-class academics specialising in big data, computational statistics, machine learning and complexity.

The programme aims to create the next generation of outstanding academics and industry pioneers, who will use data analysis to deliver real social and business impact.

Read less
IMF Business School, in collaboration with the Camilo José Cela University, launches the Master in Business Analytics and Big Data. Read more

IMF Business School, in collaboration with the Camilo José Cela University, launches the Master in Business Analytics and Big Data. This program aims to provide students with a global view of Big Data technologies and their use, as well as applied and practical training in Business Analytics. IMF is a member of the Association of Computer Technicians (ATI).

This Master's degree is aimed at both new graduates and experienced professionals who wish to focus on the new professions related to data analysis (Data Analyst, Data Scientists, Chief Data Officer, Data Engineer ...). The recommended access profiles are those related to ICTs, careers with a high qualitative component, and careers in business and economics.

The Master's Degree in Big Data of IMF, of an academic year of duration, is taught in online mode supported by an advanced technological platform that allows the student to access the study, regardless of geographical location or time availability.

With the IMF Student Centered methodology, the student is placed at the center of all training services and guides the institution towards academic and professional success. The student will be able to know his progress at all times, be attended when he needs to, access to all resources with total freedom and have a coaching service, headhunting and job placement.

All students who successfully complete this program will obtain a double Master's degree from the University Camilo José Cela and Master by MFI Business School. They will have at their disposal all the advantages of MFI:

  • Program Scholarships and Study Grants
  • Recruiters with over 12,000 vacancies posted in the last year
  • Unlimited tutoring
  • Live online classes
  • Masterclasses and networking sessions
  • Financing up to 12 months without interest or bank intervention
  • Virtual library with over 30,000 references
  • Virtual library with access to any master classes
  • Access to the VIP Club with discounts on leisure, travel, restaurants ...

TEMARY:

  • MODULE I - Technological Foundations for Data Processing
  • MODULE II - Models and Statistical Learning
  • MODULE III - Applied Automatic Learning
  • MODULE IV - Text Mining and Natural Language Processing (NLP)
  • MODULE V - Business Intelligence and Visualization
  • MODULE VI - Big Data Infrastructure
  • MODULE VII - Storage and Data Integration
  • MODULE VIII - Value and Context of Big Data Analytics
  • MODULE IX - Analytical Applications
  • MODULE X - Final Master's Work
  • COURSE I - English Course


Read less

  • 1
Show 10 15 30 per page



Cookie Policy    X