Online MCA in Natural Language Processing | Apply Now!

Advance Your Natural Language Processing Skills

Online MCA in Natural Language Processing Course

Sentiment Analysis | Speech Processing | Language Modelling | Chatbots & Virtual Assistants

Duration

2 Years

(4 Semesters)

1st Semester Fees

INR 32,875/-

2nd–4th Semester Fees

INR 32,375/-

per sem

Total Fees

INR 1,30,000/-

About Natural Language Processing

The elective explains how computers understand human language using text classification, sentiment analysis, speech processing, and language modelling. It also highlights applications like chatbots and virtual assistants.

Learning Modules

Text Classification

Learn how computers categorize and classify text into predefined categories, enabling automated organization and understanding of textual data.

Sentiment Analysis

Analyze text to detect emotions, opinions, or sentiment polarity, helping machines understand customer feedback, reviews, and social media posts.

Speech Processing

Process and interpret spoken language, enabling applications like speech recognition, voice commands, and real-time transcription.

Language Modelling

Learn how machines predict and generate human language sequences, forming the foundation for NLP applications like translation and text generation.

Chatbots & Virtual Assistants

Build intelligent conversational agents that understand and respond to user queries, providing automated support and assistance.

Career Path

Full Stack Developer

Designs and builds both front-end and back-end components of web applications. Works with modern frameworks, APIs, cloud deployment, and scalable architectures.

Mobile App Developer

Develops Android and iOS applications using native or cross-platform frameworks. Focuses on performance, UI/UX, and integration with cloud-based backends.

DevOps Engineer

Automates development pipelines, manages CI/CD, and ensures smooth deployment. Works with containerization, monitoring tools, and cloud infrastructure.

Systems Analyst

Evaluates business requirements and designs technology solutions. Works closely with stakeholders to analyze workflows and recommend system improvements.

AI/ML Engineer

Builds machine learning models and integrates AI solutions into applications. Uses modern ML frameworks, data pipelines, and responsible-AI practices.

Technical Project Manager

Leads IT projects, manages timelines, and coordinates cross-functional teams. Ensures successful delivery of technology solutions aligned with business goals.

Software Engineer

Designs, develops, tests, and maintains software applications. Works with modern languages, design patterns, and agile development practices.

Data Scientist

Analyzes large datasets to uncover insights and build predictive models. Uses statistical methods, machine learning, and data visualization tools.

Cloud Developer

Builds and deploys applications on cloud platforms like AWS, Azure, or GCP. Works with serverless computing, cloud-native tools, and scalable architectures.

Cybersecurity Analyst

Protects systems, data, and networks from cyber threats. Performs risk assessments, monitors attacks, and implements security controls.

Awards and Recognitions

DSU Online