M.A.-Master of Arts Language Technology

Full Time

M.A.-Master of Arts Language Technology

Shivaji University
  • 1st year fees
  • CREDITS
  • Campus
    BASED
  • Masters
    DEGREE
  • Fall, Spring
    DURATION

Introduction

M.A.-Master of Arts Language Technology is a Masters program taught at Shivaji University, India. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.

The M.A. in Language Technology at Shivaji University is designed for students interested in the intersection of linguistics and technology. This program covers various aspects of natural language processing, computational linguistics, and language development. Students will explore the theoretical foundations of language as well as practical applications in creating intelligent systems that comprehend and generate human language.

The course typically includes topics such as speech recognition, text processing, machine translation, and language modeling. Students will engage in hands-on projects, case studies, and collaborative work that sharpen their analytical and technical abilities. By delving into both the linguistic theories and the technical skills required to implement language technology solutions, graduates will emerge well-equipped for a variety of career paths.

One of the key benefits of studying at Shivaji University is its focus on the cultural and technological landscape of the university’s country. As a hub for innovation, students will be positioned to learn from industry experts and gain insights into how language technologies are applied in real-world situations.

Admission Requirements

The minimum requirements for admission in M.A.-Master of Arts Language Technology at Shivaji University for all applicants (Domestic or International) are:

  • program specific academic requirment set by Shivaji University.
  • English Language OR any other language requirments as set by Shivaji University as pre-requiste for admission in M.A.-Master of Arts Language Technology.

Note: Please check the university website in the link below.

Candidates should hold a Bachelor's degree in Linguistics, Computer Science, or a related field. A background in programming and data analysis is advantageous, as well as experience with linguistic theory and applications.

Students are typically required to demonstrate proficiency in English through standardized tests such as IELTS or TOEFL. A minimum score of around 6.5 for IELTS or 90 for TOEFL is commonly expected, though prospective students should always check specific requirements.

Courses Units

More Information

  • Natural Language Processing Engineer
  • Computational Linguist
  • Speech Software Developer
  • Language Data Analyst
  • Machine Learning Specialist
  • AI Researcher

Scholarships

10 fully funded scholarships are listed for India. See India scholarships.

popular courses