Master of Technology

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

Course Overview

The Master of Technology at Symbiosis Centre for International Education is designed for aspiring professionals eager to delve into the advanced realms of Artificial Intelligence and Machine Learning. You will explore critical areas such as programming in Python, mathematics for data science, supervised and unsupervised machine learning, and the foundational principles of deep learning. This postgraduate degree equips you with the analytical and technical acumen necessary to tackle complex data challenges and innovate within the rapidly expanding fields of AI and machine learning, preparing you for impactful careers.

This full-time, on-campus Master of Technology program is delivered over two years, immersing you in a curriculum rich with practical application. You will engage in extensive laboratory sessions for machine learning, deep learning, and data visualization, alongside modules on research methodology and natural language processing. The curriculum includes opportunities to work with graph neural networks and generative adversarial networks, culminating in a comprehensive understanding of AI and ML implementations. You will graduate with specialized knowledge and practical skills, ready for roles in AI research, data science, and machine learning engineering.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Master of Technology program offers a comprehensive curriculum focused on advanced data science and machine learning techniques. Students will delve into programming with Python, explore mathematical foundations for data science, and master supervised and unsupervised machine learning, including deep learning concepts. The program also covers essential areas like exploratory data analysis, data visualization, research methodology, and specialized topics such as graph neural networks, generative adversarial networks, natural language processing, and machine vision. Practical application is emphasized through numerous lab components and case studies, preparing graduates for complex technological challenges.

1 Semester 1

Programming in Python Compulsory
Maths for Data Science Compulsory
Supervised Machine Learning and Advances Compulsory
Supervised Machine Learning and Advances Lab Compulsory
Exploratory Data Analysis Compulsory
Unsupervised Machine Learning and Advances Compulsory
Unsupervised Machine Learning and Advances Lab Compulsory
Research Methodology in Engineering Compulsory
Introduction to Deep Learning Compulsory
Introduction to Deep Learning Lab Compulsory
Data Visualization Tools and Software Compulsory
Implementations and Use Cases of Machine Learning Lab Compulsory
Health and Wellness Module I Mandatory

2 Semester 2

Graph Neural Networks Compulsory
Flexi-Credit Course Compulsory
Generative Adversarial Networks and Applications Compulsory
Generative Adversarial Networks and Applications Lab Compulsory
Natural Language Processing and Applications Compulsory
Natural Language Processing and Applications Lab Compulsory
Machine Vision Compulsory
Machine Vision Lab Compulsory
Technical Communication Skills Compulsory
Machine Learning and Bioinspired Optimization Techniques Compulsory
Health and Wellness Module II Mandatory

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 5,600.00
Second Year Fee Tuition fee
USD 5,600.00
Total Program Cost Estimated total tuition
USD 11,200.00

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

Living Costs

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 Lavale Campus.

Why Study Master of Technology at Symbiosis International University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Life at Symbiosis International University 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 Master of Technology at Symbiosis International University

Can I work while studying?

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

What English language score do I need for this course?

To apply, you need an overall IELTS score of 6.0, with no component below 5.5. Specific listening, reading, speaking, and writing scores must also meet these minimums.

What jobs can I get after studying this course?

Data Scientist, Machine Learning Engineer, AI Researcher, Software Developer.

What will I actually study in this course?

This program, offered by the Department of AI and ML in collaboration with SCAAI, focuses on advancements in Artificial Intelligence and Machine Learning. It promotes advanced research and education in these fields.

When can I start — what are the intake months?

The Master of Technology program has an intake of 30 students, with admissions opening every January.
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