BTech in Computer Science & Engineering (Artificial Intelligence)

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 4 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Closing soon July 2027

Course Overview

The BTech in Computer Science & Engineering (Artificial Intelligence) at Manipal Academy of Higher Education is engineered for aspiring innovators ready to shape the future of intelligent systems. You will delve into the core principles of computer science while specializing in the rapidly advancing field of Artificial Intelligence, exploring how to build and deploy sophisticated AI models. This undergraduate program is designed for students passionate about understanding the logic behind AI, from foundational mathematics and programming to advanced machine learning and deep learning techniques, preparing you for a career at the forefront of technological transformation.

This full-time, on-campus BTech degree is structured over four years, guiding you through a progressive curriculum that builds from fundamental engineering concepts to specialized AI topics. You will engage with subjects like data structures, algorithms, machine learning, deep learning, and natural language processing, culminating in a capstone project and a dedicated internship in your final year. You will graduate with a Bachelors Degree and the practical skills to pursue roles in AI development, machine learning engineering, data science, and robotics, equipped to tackle complex real-world challenges.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program provides a comprehensive foundation in computer science and engineering, with a specialized focus on Artificial Intelligence. Students will explore core engineering principles, advanced programming, and essential AI concepts, including machine learning, deep learning, and neural networks. The curriculum progresses to advanced topics such as natural language processing and reinforcement learning, culminating in a capstone project or internship to prepare graduates for impactful careers in the AI field.

1 Year 1: The Engineering Foundation

Mathematics I & II: Calculus, Linear Algebra, and Vector Calculus (the logic behind AI weights)
Problem Solving using C: Foundational logic and file handling
Basics of Electronics & Electrical: Understanding the hardware that runs AI models
Design Workshop & Environmental Studies: Introducing sustainable engineering practices

2 Year 2: Core Computing & AI Essentials

Data Structures & Algorithms (DSA): Optimizing code for high-performance AI
Computer Organization & Architecture: Understanding GPU/CPU interactions
Essentials of AI: A high-level introduction to state-space search and logic
Object-Oriented Programming (Java/Python): Mastering the primary languages of the tech industry
Data Communication & Computer Networks: Essential for understanding distributed AI and Edge computing

3 Year 3: Deep Dive into Intelligence

Machine Learning (ML): Regression, Clustering, SVMs, and Decision Trees
Deep Learning (DL): Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
Theory of Computation: The mathematical limits of what machines can 'calculate'
Neural Networks & Fuzzy Logic: Emulating human brain patterns to solve uncertain problems
Operating Systems: Managing system resources to run memory-intensive AI models

4 Year 4: Advanced Specialization & Industry

Natural Language Processing (NLP): Building LLMs and translation systems
Reinforcement Learning: Creating agents that 'learn' through trial and error (Robotics/Gaming)
Professional Electives: Options like Computer Vision, Big Data Analytics, or Generative AI
Capstone Project & Internship: A full semester (Semester 8) dedicated to industry residency or research

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 13,150.00
Second Year Fee Tuition fee
USD 13,150.00
Third Year Fee Tuition fee
USD 13,150.00
Fourth Year Fee Tuition fee
USD 13,150.00
Total Program Cost Estimated total tuition
USD 52,600.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 121.00 - USD 253.00
Food & Groceries USD 960.00 - USD 2,400.00
Transport USD 180.00 - USD 480.00
Utilities & Bills USD 240.00 - USD 720.00
Estimated Total USD 1,380.00 - USD 3,600.00

Living cost estimates are based on Manipal Campus.

Outcomes & Employability

What happens after you graduate

80%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Advertising TechnologyClient Services & Account ManagementDevOps & Site Reliability EngineeringHardware & Semiconductor EngineeringInvestment Management & Asset ManagementMarketing Analytics & Data ManagementPerformance & Growth MarketingPrivate Equity & Venture CapitalSoftware Development & EngineeringTax & Legal Compliance

Top Employers Hiring for this course

Accenture

HDFC Bank

ICICI Bank

INTEL

Infosys

Tata Consultancy Services

Why Study BTech in Computer Science & Engineering (Artificial Intelligence) at Manipal Academy of Higher Education

What makes this program stand out

July 2027 Closing soon

Next intake is in July 2027

Life at Manipal Academy of Higher Education in India

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about BTech in Computer Science & Engineering (Artificial Intelligence) at Manipal Academy of Higher Education

Can I work while studying?

Work rights while studying depend on visa terms and should be confirmed before enrolment.

Is this qualification recognised internationally?

Please confirm accreditation details directly with the institution.

What jobs can I get after studying this course?

Graduates can pursue roles such as AI Developer, Machine Learning Engineer, Data Scientist, and Robotics Engineer.

What will I actually study in this course?

This program covers core principles of computer science and emphasizes advanced topics like machine learning and deep learning. The curriculum is designed to prepare students for careers in AI and includes a capstone project and an internship.

When can I start — what are the intake months?

The BTech in Computer Science & Engineering (Artificial Intelligence) program has an intake in July. Be sure to apply before the deadline to secure your spot.
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