B.Tech Computer Science & Engineering with AI/ML

Curriculum Structure

B.Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning) at RIT

The Roorkee Institute of Technology (RIT), Roorkee, offers a 4-year B.Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning) program designed to prepare students for careers in AI-driven and data-centric technology roles.

The program blends core Computer Science fundamentals with advanced AI & ML specializations, supported by hands-on training, bootcamps, and real-world industry projects to ensure career readiness.

Key Course Highlights

Curriculum Focus

• Strong foundation in Computer Science combined with specialized Artificial Intelligence and Machine Learning modules

• Industry-oriented syllabus aligned with modern technological advancements

Core AI & ML Subjects

• Artificial Intelligence (I & II)

• Advanced Machine Learning

• Deep Learning

• Neural Networks

• Soft Computing

• Big Data Analytics

• Cyber Security

Practical & Technical Skills

• Hands-on learning through labs and live projects

• Training in Web Development, Java Programming, and Data Mining

• Emphasis on real-world problem-solving and implementation

Industry Exposure

• Industry concentration modules and certification-oriented training

• Winter training programs and internships

• Projects in domains such as:

  • Cyber & Digital Forensics

  • Cryptography

  • Software Project Management

What You Will Learn

• Design and develop intelligent machines and AI-powered software systems

• Apply machine learning algorithms to real-world datasets

• Techniques in data mining, signal processing, and control systems

• Strong programming foundations in C++, Python, and Object-Oriented Programming (OOP)

• Understanding of scalable and secure AI applications.

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