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The Computer Linguistics undergraduate program is designed to train specialists in natural language processing (NLP), artificial intelligence (AI) applications in linguistics, computational linguistics, and software development for linguistic purposes. The program follows a credit-modular system and is available in full-time mode. The standard duration for full-time study is four years.
Scope of Application
Graduates of this program can work in various fields, including:
Natural Language Processing (NLP): Developing AI-based language technologies, including speech recognition and text-to-speech systems.
Software Development for Linguistic Applications: Creating translation software, chatbots, and grammar-checking tools.
Computational Linguistics: Conducting research in machine translation, syntax parsing, and semantic analysis.
Data Science & Artificial Intelligence: Implementing linguistic models for text mining and information retrieval.
Academic and Research Fields: Contributing to linguistic research and AI-driven language studies in universities and research institutions.
Digital Content Creation: Developing linguistic databases, dictionaries, and educational platforms.
Core Competencies
Graduates will develop the following essential competencies:
Programming and Algorithm Development – Mastery of programming languages such as Python, SQL, Java, and tools for computational linguistics.
Natural Language Processing (NLP) and Machine Learning – Training in text analysis, machine translation, and AI-driven linguistic models.
Software Engineering for Linguistic Applications – Development of linguistic software, grammar-checking tools, and digital dictionaries.
Corpus and Computational Linguistics – Building and optimizing linguistic corpora and ontologies.
Speech Recognition & Synthesis – Applying AI for voice recognition and automatic speech synthesis.
Data Analysis and AI Applications – Using AI-driven analytics for semantic and syntactic text processing.
Interdisciplinary Research Skills – Conducting research in computational linguistics and AI-driven language learning.
Career Opportunities
Upon completing the program, graduates can pursue careers as:
Computational Linguists – Developing AI-based linguistic applications and research.
Machine Learning & NLP Engineers – Working in the field of AI for speech recognition and text analytics.
Software Developers for Linguistic Applications – Designing translation software, virtual assistants, and chatbots.
Data Scientists & Analysts – Applying NLP for big data analysis in tech companies.
Digital Content Developers – Creating educational and linguistic platforms.
Research Scientists in AI & Language Technology – Conducting research in universities, R&D centers, and tech firms.
Program Structure & Study Plan
The curriculum consists of core courses, elective courses, and practical training, including internships and professional practice.
Course TypeCredit Hours Core Courses (Programming, Computational Linguistics, AI) 144 Elective Courses (Machine Learning, Data Science, Speech Processing) 60 Practical Training & Internship 36 Total Credits 240
Internships & Practical Training
Students will gain hands-on experience through:
✔ Internships at AI research labs and tech companies.
✔ Participation in NLP and AI-driven projects.
✔ Practical software development exercises for language processing.
✔ Professional research and development activities in computational linguistics.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BS
Study Level
Undergraduate
Study Mode
On Campus
The Computer Linguistics undergraduate program is designed to train specialists in natural language processing (NLP), artificial intelligence (AI) applications in linguistics, computational linguistics, and software development for linguistic purposes. The program follows a credit-modular system and is available in full-time mode. The standard duration for full-time study is four years.
Scope of Application
Graduates of this program can work in various fields, including:
Natural Language Processing (NLP): Developing AI-based language technologies, including speech recognition and text-to-speech systems.
Software Development for Linguistic Applications: Creating translation software, chatbots, and grammar-checking tools.
Computational Linguistics: Conducting research in machine translation, syntax parsing, and semantic analysis.
Data Science & Artificial Intelligence: Implementing linguistic models for text mining and information retrieval.
Academic and Research Fields: Contributing to linguistic research and AI-driven language studies in universities and research institutions.
Digital Content Creation: Developing linguistic databases, dictionaries, and educational platforms.
Core Competencies
Graduates will develop the following essential competencies:
Programming and Algorithm Development – Mastery of programming languages such as Python, SQL, Java, and tools for computational linguistics.
Natural Language Processing (NLP) and Machine Learning – Training in text analysis, machine translation, and AI-driven linguistic models.
Software Engineering for Linguistic Applications – Development of linguistic software, grammar-checking tools, and digital dictionaries.
Corpus and Computational Linguistics – Building and optimizing linguistic corpora and ontologies.
Speech Recognition & Synthesis – Applying AI for voice recognition and automatic speech synthesis.
Data Analysis and AI Applications – Using AI-driven analytics for semantic and syntactic text processing.
Interdisciplinary Research Skills – Conducting research in computational linguistics and AI-driven language learning.
Career Opportunities
Upon completing the program, graduates can pursue careers as:
Computational Linguists – Developing AI-based linguistic applications and research.
Machine Learning & NLP Engineers – Working in the field of AI for speech recognition and text analytics.
Software Developers for Linguistic Applications – Designing translation software, virtual assistants, and chatbots.
Data Scientists & Analysts – Applying NLP for big data analysis in tech companies.
Digital Content Developers – Creating educational and linguistic platforms.
Research Scientists in AI & Language Technology – Conducting research in universities, R&D centers, and tech firms.
Program Structure & Study Plan
The curriculum consists of core courses, elective courses, and practical training, including internships and professional practice.
Course TypeCredit Hours Core Courses (Programming, Computational Linguistics, AI) 144 Elective Courses (Machine Learning, Data Science, Speech Processing) 60 Practical Training & Internship 36 Total Credits 240
Internships & Practical Training
Students will gain hands-on experience through:
✔ Internships at AI research labs and tech companies.
✔ Participation in NLP and AI-driven projects.
✔ Practical software development exercises for language processing.
✔ Professional research and development activities in computational linguistics.
Admission Requirements
57+
Application Form (Download from the official website)
Passport Copy
Certificate of Education:
BA-Program: General or Secondary Special Education Degree
25 Aug 2025
4 Years
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
1,100 USD
Domestic (Out of State)
1,100 USD
International
1,100 USD
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
The tuition fee for all programs is 13,400,000 UZS (1100 USD) for the 2024-2025 academic year.
Tuition covers the following costs:
Study
Internet access on SamSIFL campuses
Library access
Note: The tuition fee does NOT cover additional expenses such as health insurance and VISA costs.
Applicants must submit the following documents:
Application form (Download from the website).
Passport copy.
Certificate of education (General or secondary special education degree for BA applicants; Bachelor's degree for MA applicants).
How to submit your application?
Online: https://studyin-uzbekistan.uz/universities/99/programs
By email: [email protected]
Deadline for application: August 25.
The interview for applicants will be held from August 2 to August 25. Only applicants who pass the interview will be accepted into the program.
Academic Calendar
Application deadline: August 25
Start of the academic year: September 2
Winter holiday: Approximately December 25 - January 10 (15 days)
End of the academic year: End of June
Summer vacation: July 5 - September 1
If you require a student visa, you will receive an official invitation letter after successfully passing the interview. You can use this invitation to apply for a visa in your home country.
Contact Information for Further Assistance
Mr. Bakhodir N. Berdialiev
Head of International Relations Department, SamSIFL
Email: [email protected]
Phone: +998 66 238 29 52
Computational Linguistics
Main Campus of Samarkand State Instititute of Foreign Languages, Samarkand, Uzbekistan
48 monthsProgramme duration
1,100 USDTuition Fee/year
25 Aug, 2025Application Deadline
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BS
Study Level
Undergraduate
Study Mode
On Campus
The Computer Linguistics undergraduate program is designed to train specialists in natural language processing (NLP), artificial intelligence (AI) applications in linguistics, computational linguistics, and software development for linguistic purposes. The program follows a credit-modular system and is available in full-time mode. The standard duration for full-time study is four years.
Scope of Application
Graduates of this program can work in various fields, including:
Core Competencies
Graduates will develop the following essential competencies:
Career Opportunities
Upon completing the program, graduates can pursue careers as:
Program Structure & Study Plan
The curriculum consists of core courses, elective courses, and practical training, including internships and professional practice.
Course Type Credit Hours Core Courses (Programming, Computational Linguistics, AI) 144 Elective Courses (Machine Learning, Data Science, Speech Processing) 60 Practical Training & Internship 36 Total Credits 240Internships & Practical Training
Students will gain hands-on experience through:
✔ Internships at AI research labs and tech companies.
✔ Participation in NLP and AI-driven projects.
✔ Practical software development exercises for language processing.
✔ Professional research and development activities in computational linguistics.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BS
Study Level
Undergraduate
Study Mode
On Campus
The Computer Linguistics undergraduate program is designed to train specialists in natural language processing (NLP), artificial intelligence (AI) applications in linguistics, computational linguistics, and software development for linguistic purposes. The program follows a credit-modular system and is available in full-time mode. The standard duration for full-time study is four years.
Scope of Application
Graduates of this program can work in various fields, including:
Core Competencies
Graduates will develop the following essential competencies:
Career Opportunities
Upon completing the program, graduates can pursue careers as:
Program Structure & Study Plan
The curriculum consists of core courses, elective courses, and practical training, including internships and professional practice.
Course Type Credit Hours Core Courses (Programming, Computational Linguistics, AI) 144 Elective Courses (Machine Learning, Data Science, Speech Processing) 60 Practical Training & Internship 36 Total Credits 240Internships & Practical Training
Students will gain hands-on experience through:
✔ Internships at AI research labs and tech companies.
✔ Participation in NLP and AI-driven projects.
✔ Practical software development exercises for language processing.
✔ Professional research and development activities in computational linguistics.
Admission Requirements
Tuition fees
Domestic
Domestic (Out of State)
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
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Frequently Asked Questions