MSc Accounting
The MSc Accounting at the University of Manchester, United Kingdom, is a specialized po...
MSc Computational and Corpus Linguistics
Manchester, England
INTAKE: Jan & Sept
Program Overview
The MSc Computational and Corpus Linguistics program at the University of Manchester is designed for students with an interest in both language and technology. It combines the study of linguistics with computational methods to enable students to analyze and process large linguistic datasets. This interdisciplinary program provides training in the theoretical foundations of linguistics, as well as the technical skills necessary to build and work with computational models. Students will learn how to utilize tools such as corpus analysis software and natural language processing (NLP) to explore patterns and structures in language. Graduates will be well-equipped for careers in academia, research, and industry, applying computational methods to linguistic data analysis.
Curriculum: The MSc Computational and Corpus Linguistics curriculum covers a broad range of topics that combine linguistics with computer science. Core modules typically include Introduction to Corpus Linguistics, Computational Linguistics, Natural Language Processing (NLP), and Programming for Linguists. Students also explore methods in statistical analysis, machine learning, and data visualization as applied to language data. The program integrates both theoretical and practical aspects, with hands-on experience in using computational tools to analyze and manipulate corpora (large collections of texts). Elective modules allow students to focus on specialized areas such as multilingualism, computational phonology, or text mining, depending on their career interests and goals. Students also undertake a dissertation project that demonstrates their ability to conduct independent research and apply the computational techniques they’ve learned.
Research Focus: The research focus of the MSc Computational and Corpus Linguistics program is centered on using computational methods to explore linguistic phenomena. Students engage with cutting-edge research in areas like corpus creation and annotation, machine learning algorithms for language analysis, and the development of computational tools for linguistic applications. The program emphasizes the application of computational techniques to solve real-world problems, such as improving machine translation, speech recognition, and text analysis. Research areas include the study of syntactic structures, semantic analysis, and discourse analysis, all through the lens of computational linguistics. Students are encouraged to engage in research projects and are supported by faculty members with expertise in both linguistics and computational methodologies.
Industry Engagement: The MSc Computational and Corpus Linguistics program at the University of Manchester offers extensive industry engagement opportunities to help students build strong professional networks. The university has partnerships with leading technology companies, research institutions, and language service providers, which offer students opportunities for internships, collaborative research, and access to real-world data. Students are exposed to the practical applications of computational linguistics through guest lectures, industry-led workshops, and networking events. The program prepares students for careers in industries such as artificial intelligence, data science, software development, and language technology. Graduates can work in roles involving machine learning, NLP, corpus creation, and language analysis for tech companies, research labs, and government organizations.
Global Perspective: The MSc Computational and Corpus Linguistics program offers a global perspective by addressing language data from diverse linguistic and cultural backgrounds. Students have the opportunity to work with multilingual corpora and study computational linguistics in the context of a variety of languages and dialects. The program is designed to equip students with the skills needed to tackle challenges in the global language technology sector, including language processing for under-resourced languages and cross-lingual NLP applications. The university’s international reputation in linguistics and computational research allows students to collaborate with scholars and institutions worldwide, providing exposure to global trends and cutting-edge innovations in computational linguistics.
Location
Manchester, England
Score
IELTS 7
Tuition Fee
£ 31000
Postgraduate Entry Requirements
Application fee: £60
Academic Qualifications: Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.
English language proficiency:
- IELTS: A minimum overall score of 7.0 with no individual component below 6.5.
- TOEFL: A minimum overall score of 100.
- PTE Academic: A minimum overall score of 76.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
The University of Manchester offers a range of scholarships to support international students in funding their education and making their academic journey more accessible. These scholarships are designed to reward academic excellence, support students from diverse backgrounds, and help ease the financial challenges of studying abroad.
Global Futures Scholarship: The Global Futures Scholarship is a prestigious award for international students who demonstrate academic excellence and potential. This scholarship offers a £5,000 contribution towards tuition fees, providing financial assistance for undergraduate and postgraduate students. This scholarship is open to students from specific countries and disciplines, so it is essential to check eligibility criteria and deadlines.
Manchester Master’s Bursary: The Manchester Master’s Bursary is a financial aid program aimed at helping postgraduate students who come from lower-income backgrounds. This bursary offers support for UK, EU, and international students who wish to pursue a master’s degree at the university. The bursary can cover a significant portion of tuition fees and is awarded based on financial need.
Subject-Specific Scholarships: Many departments at the University of Manchester offer subject-specific scholarships for students enrolling in their programs. For example, students applying for programs in engineering, business, life sciences, and the arts may be eligible for additional funding based on academic performance and their future potential. These scholarships are often offered to high-achieving students who demonstrate exceptional skills and dedication to their field of study.
Chevening Scholarships: The Chevening Scholarship is a fully-funded award provided by the UK government, open to outstanding international students from over 160 countries. The scholarship covers tuition fees, living costs, travel expenses, and other related costs. The University of Manchester is a proud participant in this global program and welcomes applications from students wishing to pursue a master's degree in a variety of disciplines.
Commonwealth Scholarships: The Commonwealth Scholarship Commission offers fully funded scholarships for international students from Commonwealth countries. These scholarships support students pursuing postgraduate studies in fields such as engineering, health sciences, and education. They cover the full cost of tuition fees, travel, and living expenses during the duration of the program.
Regional Scholarships: The university also offers regional scholarships for students from specific countries or regions, including Asia, Africa, Europe, and the Americas. These scholarships are designed to make studying at the University of Manchester more accessible to students from these regions and offer both partial and full financial support depending on the scholarship type.
Graduates of the MSc Computational and Corpus Linguistics program from the University of Manchester are equipped with the technical and analytical skills needed to pursue careers in a variety of industries that rely on language data and computational methods.
Natural Language Processing (NLP) Engineer: Graduates can work as NLP engineers, developing algorithms that allow machines to understand and process human language. This role involves working with large datasets to improve applications like machine translation, sentiment analysis, and speech recognition.
Data Scientist: With their strong background in statistical analysis, machine learning, and data visualization, graduates can pursue careers as data scientists. They can apply computational linguistics techniques to analyze large amounts of language data and extract meaningful insights for industries such as finance, healthcare, and technology.
Computational Linguist: A key career path for graduates is becoming computational linguists, where they work to design and improve language processing systems, including search engines, voice recognition software, and AI-driven applications. They focus on creating models that analyze and understand the structure and meaning of language.
Machine Learning Engineer: Graduates can work as machine learning engineers, focusing on training models that allow systems to recognize patterns in language. In this role, they would implement machine learning algorithms and improve automated processes used in a variety of applications, such as recommendation systems and automated content generation.
Language Technology Developer: As technology developers, graduates can specialize in building and maintaining tools that facilitate language processing tasks, such as corpora creation, text mining, and language data annotation. They may work in industries such as tech companies, AI startups, or language service providers.
Researcher in Linguistics or Computational Linguistics: Graduates may choose to continue their academic career by pursuing a PhD in computational linguistics or related fields. This path would involve conducting research on language processing techniques, machine learning models, and corpus linguistics, potentially contributing to new innovations in language technology.
AI Researcher: Graduates can pursue careers as AI researchers, focusing on the application of linguistic techniques in artificial intelligence. They may develop new algorithms for human-computer interaction, text generation, or intelligent systems that require advanced language understanding.
Language Data Analyst: Graduates can work as language data analysts, where they analyze large corpora of text or speech data to identify trends, patterns, or insights. They can work for companies that rely on large-scale data analysis in sectors like marketing, customer service, and research.
Software Developer: With knowledge in programming and computational linguistics, graduates can pursue software development roles that focus on creating language-based applications, such as chatbots, automated writing assistants, and voice recognition systems.
Consultant in Language Technologies: Graduates can become consultants who advise companies on the implementation of language technology solutions, including NLP, machine learning, and corpus analysis. These roles involve working with organizations to tailor language-based technologies to meet their specific needs.
Academic in Corpus Linguistics or Computational Linguistics: Some graduates choose to become university professors or academic researchers specializing in computational or corpus linguistics. They may conduct independent research, publish papers, and teach the next generation of linguists and technologists.
