Mahindra École Centrale, [MEC] Hyderabad

M.Tech. in Artificial Intelligence and Data Science

Program Overview

The Master of Technology (M.Tech.) in Artificial Intelligence and Data Science is a specialized postgraduate program that focuses on advanced concepts in artificial intelligence, machine learning, data analytics, big data technologies, and computational intelligence. The program is designed to equip students with the skills needed to solve complex real-world problems using intelligent systems and data-driven approaches.

Program Duration

• 2 years (typically 4 semesters)

Eligibility Criteria

Candidates must fulfill the following requirements:

• A Bachelor’s degree in Engineering/Technology or equivalent

• Degree preferably in Computer Science, Information Technology, Electronics, Mathematics, Statistics, or related fields

• Minimum 60% aggregate marks or equivalent grade

• Final-year Bachelor’s students may apply, subject to meeting eligibility at the time of admission

Admission Process

Admission is typically based on one or more of the following:

• Valid GATE score followed by interview

• University entrance test and personal interview for candidates without a GATE score

• Shortlisting and final selection based on academic performance and performance in interview or test

Curriculum Structure

The curriculum is designed to balance theoretical foundations and practical applications, and usually includes:

Core Subjects

• Machine Learning

• Deep Learning

• Artificial Intelligence

• Data Science and Analytics

• Big Data Technologies

• Statistical Methods for Data Science

• Natural Language Processing

• Computer Vision

Elective Courses

Students may choose advanced electives such as:

• Reinforcement Learning

• Predictive Modeling

• Cloud Computing for Data Science

• Optimization Techniques

• Ethics in AI

Project and Research

• Major project or dissertation in the final semester

• Opportunity for industry-linked projects

• Research publications and presentations

Learning Outcomes

Graduates of this program will be able to:

• Design and implement AI and data science solutions for complex problems

• Apply state-of-the-art machine learning and deep learning techniques

• Analyze large datasets to derive meaningful insights

• Work with big data tools and distributed computing frameworks

• Conduct research in advanced areas of AI and data-driven technologies

Career Opportunities

After completing the M.Tech. in Artificial Intelligence and Data Science, graduates can take up roles such as:

• AI Engineer

• Data Scientist

• Machine Learning Engineer

• Big Data Engineer

• Research Scientist

• Business Intelligence Analyst

• Data Analytics Consultant

Academic Environment

The program typically emphasizes:

• Hands-on learning through labs, case studies, and real datasets

• Industry collaborations for internship and live projects

• Research exposure and opportunities for publication

• Building practical skills aligned with industry requirements