M. Tech in Computer Science and Engineering (Artificial Intelligence & Decision Science)

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon July 2027

Course Overview

The M. Tech in Computer Science and Engineering (Artificial Intelligence & Decision Science) at Manipal Academy of Higher Education is designed for ambitious graduates eager to delve into the transformative fields of AI and decision science. You will explore advanced topics such as generative artificial intelligence, probabilistic graphical models, and convex optimization, gaining the analytical and computational skills essential for tackling complex challenges in data mining and knowledge discovery. This postgraduate program is ideal for students seeking to specialize in areas that are increasingly vital across research and industry, preparing you for impactful careers.

This full-time, on-campus Master of Technology degree is structured over two years, offering a comprehensive curriculum that includes core subjects, specialized electives, and hands-on laboratory work. You will engage in a significant capstone project in either machine intelligence or decision science, applying your learned expertise to real-world problems. You will graduate with a robust understanding of artificial intelligence and decision science, equipped for roles in technology development, data science, and advanced research.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This M. Tech program in Computer Science and Engineering focuses on Artificial Intelligence and Decision Science. The curriculum covers foundational topics such as mathematical foundations of computational intelligence, generative artificial intelligence, theoretical machine learning, and probabilistic graphical models. Students will also explore fairness in machine learning, convex optimization, and data mining. The program includes compulsory labs and capstone projects in both artificial intelligence and decision science, culminating in project work and industrial training.

1 YEAR FIRST SEMESTER

Mathematical Foundations of Computational Intelligence Compulsory
Generative Artificial Intelligence Compulsory
Theoretical foundation for Machine Learning Compulsory
Probabilistic Graphical Models Compulsory
Fairness And Machine Learning Compulsory
Research Methodology and Technical Communication Compulsory
Algorithmic Fairness and Graphical Models Lab Compulsory
Machine Intelligence Capstone Project Compulsory

2 YEAR SECOND SEMESTER

Convex Optimization and Applications Compulsory
Data Mining and Knowledge Discovery Compulsory
Program Elective-I
Program Elective-II
Program Elective-III
Research Methodology and Technical Communication Compulsory
Knowledge Engineering Lab Compulsory
Decision Science Capstone Project Compulsory

3 YEAR THIRD AND FOURTH SEMESTER

Project Work and Industrial Training Compulsory

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 3,600.00
Second Year Fee Tuition fee
USD 3,600.00
Total Program Cost Estimated total tuition
USD 7,200.00

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 Finance & OperationsBanking & Financial ServicesCloud Computing & InfrastructureCorporate Finance & TreasuryCreative Production & Project ManagementFinancial Technology (Fintech)Marketing Analytics & Data ManagementNetworking & Internet ServicesSocial Media & Community ManagementTax & Legal Compliance

Top Employers Hiring for this course

Accenture

INTEL

Infosys

Tata Consultancy Services

Why Study M. Tech in Computer Science and Engineering (Artificial Intelligence & Decision Science) 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 M. Tech in Computer Science and Engineering (Artificial Intelligence & Decision Science) at Manipal Academy of Higher Education

Can I work while studying?

International students cannot be employed under a student permit in India.

What jobs can I get after studying this course?

Graduates may pursue roles as Data Scientists, AI Engineers, Machine Learning Specialists, Software Developers, or Research Analysts.

What will I actually study in this course?

This program offered by the Department of Information and Communication Technology, MIT Manipal provides graduates with the necessary skills to specialize in Artificial Intelligence and Decision Science.

The course focuses on subjects like Artificial Intelligence, Probabilistic Graphical Models, Statistical Machine Learning, Deep Learning, Explainable AI (XAI), and Convex Optimization; there is a wide range of

When can I start — what are the intake months?

The intake month for the M. Tech in Computer Science and Engineering (Artificial Intelligence & Decision Science) program is July. Make sure to apply before the deadline to secure your spot.
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