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Post Graduate Diploma in Computational Linguistics

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Post Graduate Diploma in Computational Linguistics

Introduction

The Post Graduate Diploma in Computational Linguistics is designed to equip students with advanced knowledge of language technologies, computational methods, and linguistic analysis. This program combines theoretical foundations of linguistics with practical applications of computer science to prepare learners for work in language technology, artificial intelligence, natural language processing, and digital language research.

Objectives

  • To develop understanding of linguistic theories relevant to computational applications.
  • To train students in language data processing and analysis techniques.
  • To introduce natural language processing (NLP) tools and computational methods.
  • To enable students to design and evaluate language technology solutions.
  • To prepare learners for research and professional practice in computational linguistics.

Career Path

  • Graduates may pursue careers as:
  • Computational Linguist
  • NLP Engineer / Analyst
  • Language Technology Specialist
  • AI Language Model Trainer
  • Research Assistant in Digital Humanities
  • Speech and Language Processing Specialist
  • Academic Researcher / PhD Candidate

Fee Structure Post Graduate Diploma in Computational Linguistics

Post Graduate Diploma in Computational Linguistics
Duration 1 Year
Total Semester 2
Total Package 91,500
At Admission Time 18,500
Additional Charges at the time of Admission 1,500
Examination Fee 3,500
Total Amount (At Admission) 20,000
Installment 19125 * 4
Additional Charges at the time of Admission
Web Portal fee per year for Learning Management Syste 0
Library Security Fee (Refundable) 0
Student Card 500
Library & Magazine Fund 1000
Total Additional Charges 1,500
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Scheme of Study

Semester 1

Sr.# Course Code Course Name Credit Hours
1 CRC200 Research Methods in Computational Linguistics 3
2 CRC201 Programming for Computational Linguistics 3
3 CRC203 Linguistic Analysis 3
4 CRC204 Natural Language Processing 3

Semester 2

Sr.# Course Code Course Name Credit Hours
1 CRC205 Machine Learning in Computational Linguistics 3
2 CRC206 Corpus Linguistics & Test Processing 3
3 CRC207 Deep Learning in Computational Linguistics 3
4 CRC208 Research Projects / Thesis 3
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Introduction
Related Programs
Objectives
Career Path
Fee Structure
Scheme of Study