B.TECH (LATERAL ENTRY) in CSE (ARTIFICIAL INTELLIGENCE & MACHINE LEARNING) ENGINEERING

Curriculum Structure

Roorkee Institute of Technology (RIT), Roorkee

B.Tech in CSE (Artificial Intelligence & Machine Learning) – Lateral Entry

Program Overview

The B.Tech CSE (AI/ML) program at Roorkee Institute of Technology (RIT) is designed to combine core computer science engineering fundamentals with modern Artificial Intelligence and Machine Learning concepts, preparing students for emerging technology roles.

Eligibility Criteria (Lateral Entry)

• Qualification:

  • 3-year Diploma in Engineering (after 10th or 12th)

• Minimum Marks:

  • 50% aggregate (general requirement)

• Entry Level:

  • Admission directly into the 2nd year of the B.Tech program

• Additional Requirements:

  • Entrance test or interview may be conducted as per institute/university norms

Curriculum Highlights

Core Engineering Subjects

• Programming Fundamentals

• Data Structures

• Algorithms

• Digital Electronics

• Engineering Mathematics

AI & ML Specialization

• Artificial Intelligence

• Machine Learning

• Data Analytics

• Cyber Security

• Industry-oriented AI/ML applications

Industry Relevance

• Practical, skill-based learning approach

• Curriculum aligned with current industry requirements

• Focus on problem-solving, logic building, and real-world use cases

Placements & Career Prospects

• RIT has a reputation for active placement support

• Reported outcomes include:

  • Competitive average packages for eligible students

  • High packages offered to top performers (up to ₹20 LPA in select cases)

• Career paths include:

  • AI/ML Engineer

  • Data Analyst / Data Scientist

  • Software Developer

  • Cyber Security Analyst

Admission Process

The admission to B.Tech Computer Science program is based on entrance exam scores followed by counseling. Here's the step-by-step process:

Career Opportunities

Career Opportunities After B.Tech in Artificial Intelligence & Machine Learning (AI & ML)

A B.Tech in Artificial Intelligence & Machine Learning (AI & ML) prepares students for some of the most in-demand and future-ready careers in today’s technology-driven world. Graduates work on building intelligent systems, data-driven applications, and automated solutions across multiple industries.

With rapid adoption of AI technologies, career opportunities span global tech giants, IT services companies, startups, and domain-specific industries such as finance, healthcare, and e-commerce.

Key Career Paths in AI & ML

Machine Learning Engineer / Developer
Designs, builds, trains, and deploys machine learning models and algorithms for real-world applications.

Data Scientist
Analyzes complex datasets to extract insights, build predictive models, and support data-driven decision-making.

AI Engineer / AI Software Developer
Develops AI-powered applications and integrates artificial intelligence capabilities into software systems.

AI Research Scientist
Conducts advanced research in areas such as deep learning, neural networks, and natural language processing (NLP) to push the boundaries of AI.

Robotics Engineer
Designs and develops intelligent robots, autonomous systems, and automation solutions for industrial and service applications.

Natural Language Processing (NLP) Engineer
Works on chatbots, virtual assistants, speech recognition, and language-based AI systems.

Computer Vision Engineer
Develops systems that interpret and analyze visual data, such as image recognition, facial recognition, and video analytics.

AI Consultant
Advises organizations on AI adoption, implementation strategies, and digital transformation.

Data Engineer
Builds and maintains scalable data pipelines and infrastructure that support AI and ML systems.

AI Product Manager
Manages the end-to-end development of AI-driven products, balancing technology, business goals, and user needs.

Industries & Top Employers

Technology & Product Companies

• Google

• Microsoft

• Amazon

• IBM

• Adobe

• Nvidia

IT & Consulting Services

• TCS

• Infosys

• Wipro

• Accenture

E-commerce & Logistics

• Flipkart

• Zomato

Finance, Healthcare & Other Sectors

• Banks and Financial Institutions

• Insurance Companies

• Hospitals and Healthcare Organizations

• EdTech and Smart Manufacturing

Skills & Specializations in Demand

Core AI & Machine Learning Skills

• Machine Learning Algorithms

• Deep Learning

• Neural Networks

• Predictive Modeling

Data & Engineering Skills

• Big Data Analytics

• Data Engineering & Data Pipelines

• SQL, NoSQL Databases

Emerging & Advanced Areas

• Natural Language Processing (NLP)

• Computer Vision

• AR/VR

• AI Ethics & Responsible AI

• AI-driven Cybersecurity.

Top Recruiters