M.Tech (AI & Data Science)

The M.Tech in Computer Science and Engineering (CSE) with Specialization in Artificial Intelligence (AI) & Data Science is a forward-thinking postgraduate program that bridges the gap between theoretical computer science and applied data-driven intelligence. This program is designed for graduates who aspire to become leaders in advanced computing, data analytics, and AI-based innovation across diverse industries. With the exponential growth of data and increasing demand for intelligent automation, this specialization provides deep insights into how AI and Data Science are transforming business models, decision-making, and technological innovation globally.

Students gain expertise in advanced concepts including predictive modeling, deep learning, big data analytics, data visualization, natural language processing, and AI-driven automation. The curriculum integrates rigorous academic foundations with project-based and research-oriented learning to ensure that graduates can design, implement, and optimize intelligent data-driven systems. Through hands-on experience in data handling, model development, and performance optimization, students are equipped to solve complex real-world problems and lead data-centric transformations across industries.

Advanced Curriculum

Comprehensive coverage of Artificial Intelligence, Machine Learning, Big Data, and Deep Learning with focus on applied problem-solving.

Industry Integration

Collaboration with technology companies for live projects, internships, and applied research exposure in AI and data-driven innovation.

Practical Learning

Real-world applications of predictive modeling, data mining, and neural networks through labs, projects, and research simulations.

Career Opportunities

Graduates can pursue roles such as Data Scientists, AI Researchers, Machine Learning Engineers, Data Analysts, and Technology Consultants.

Program Overview

The M.Tech in CSE with specialization in AI & Data Science aims to develop analytical, technical, and research competencies among students to address the evolving needs of the AI and analytics ecosystem. The program emphasizes the fusion of artificial intelligence techniques with data-driven insights to build intelligent, adaptive, and scalable systems. Students are trained in key domains such as AI algorithm design, data modeling, cloud computing, distributed databases, and ethical AI practices. The program encourages interdisciplinary research and innovation, preparing graduates for both industry and academia. With strong foundations in mathematics, computer science, and analytics, students will be capable of transforming raw data into actionable intelligence.

Program Structure

Content

Teaching & Assessment

Content

Student Outcomes

Content

Minor Degree Programs

At Quantum University, students have the freedom to expand their academic horizons beyond their core area of study. Through minor programs, they can choose courses from related or entirely different disciplines, encouraging interdisciplinary learning and personal growth. This flexible approach empowers students to design a well-rounded education, explore new interests, and develop diverse skill sets that prepare them for dynamic career opportunities.

Some of the MINOR Degrees being offered are:

Entrepreneurship & Startups
Foreign languages (French)
Media Management
Financial Literacy
Robotics & Automation
Microsoft Office
Culinary Arts
Data Analytics
Web Designing

Explore More

Experiential Learning

Quantum University’s M.Tech Computer Science & Engineering programs emphasize a balance between conceptual mastery and practical experience. Students engage in cutting-edge projects, research collaborations, and workshops that simulate real-world problem-solving environments. The learning ecosystem fosters experimentation, creativity, and interdisciplinary collaboration through AI and Data Science research labs, cloud-based simulations, and analytical case studies.

Research Projects

M.Tech students at Quantum University have access to state-of-the-art research facilities and opportunities to collaborate on interdisciplinary research projects. Many students contribute to high-impact publications in areas like nanotechnology, artificial intelligence, power systems, and telecommunications, furthering their academic and professional credentials.

Hackathons & Competitions

Quantum University encourages students to participate in inter-university and national-level hackathons, fostering innovation and sharpening problem-solving skills. These high-stakes coding events challenge students to develop real-world solutions in fields like AI, cybersecurity, cloud technologies, and full-stack development, enhancing their creativity, teamwork, and technical proficiency. The CODEX Club of the CSE department organizes the exclusive CodeFest series, offering students opportunities to collaborate on live projects, brainstorm ideas, and demonstrate their expertise in specialized domains.

Internships & Industry Interface

Quantum University's over 150 collaborations with leading industry partners provide students with unmatched opportunities for internships and certified training programs in their chosen specializations. Through hands-on projects in areas like AI/ML, cloud technology, and cybersecurity, students bridge the gap between academic knowledge and industry practices. These experiences help students develop critical technical and soft skills, build professional networks, and gain a competitive edge in their careers.

Workshops

Industry-driven workshops are a cornerstone of the M.Tech AI-Data Science program. Conducted by seasoned experts, these workshops focus on emerging technologies such as AI, blockchain, IoT, cybersecurity, cloud computing, and DevOps.They provide students with hands-on experience and practical knowledge, equipping them to solve real-world problems. These workshops also enable students to explore their specializations in greater depth, preparing them for advanced roles in their respective fields.

Industrial Visits

To reinforce experiential learning, Quantum University organizes regular industrial visits for CSE students. These visits provide insights into professional workflows, cutting-edge technologies, and industry methodologies in fields such as data science, full-stack development, and AI/ML. By bridging theoretical concepts with real-world practices, industrial visits offer students a well-rounded understanding of the tech landscape and its expectations.

Outstanding Career Outcomes

Our graduates are in high demand across top engineering companies and innovative startups

LPAHIGHEST PACKAGE OFFERED
NUMBER OF COMPANIES VISITED
NUMBER OF STUDENTS PLACED
LPAAVERAGE PACKAGE OFFERED

Career Tracks

Data Scientist

Advanced analytics, machine learning, and big data modeling.

AI Research Engineer

Researching new algorithms and deep learning techniques.

Data Engineer

Building robust data pipelines and managing real-time processing.

AI Product Manager

Translating AI solutions into scalable business applications.

Entrepreneurship

Comprehensive Skill Development: At Quantum University, the teaching methodology includes extensive Skill Development Courses (SKCs) designed to equip students with the necessary skills to start their own ventures.

Entrepreneurial and Leadership Opportunities: Quantum University is providing ample opportunities to students to start their own ventures. More than 100 Start-ups are in progress.

Networking and Career Success: Quantum University fosters strong industry connections and real-world exposure, enabling students to build professional networks and unlock rewarding career opportunities.

Higher Studies

Master’s Programs: Quantum University offers a range of industry-relevant master's programs designed to deepen academic knowledge, enhance professional skills, and prepare students for leadership roles in their chosen fields.

Ph.D. Opportunities: Quantum University offers rigorous Ph.D. programs that foster advanced research, innovation, and academic excellence. With expert mentorship, interdisciplinary collaboration, and access to cutting-edge resources, scholars are empowered to contribute meaningful insights to their fields.

Networking and Career Success: Students benefit from a strong ecosystem of industry partnerships, alumni networks, and career development support. Regular workshops, internships, expert talks, and placement drives help students build valuable connections and achieve long-term career success.

Mentors Who Shape Futures

Dr. Himanshu Tyagi

Assistant Professor

Profile

Dr. Amrita Kumari

Assistant Professor

Profile

Dr. Md. Iqbal

Professor

Profile

Dr. Brij Mohan Singh

Professor

Profile

Dr. Satender Kumar

Associate Professor

Profile

Dr. Mridula

Professor

Profile

Dr. Raj Kumar

Assistant Professor

Profile

Dr. Anuj Kumar

Assistant Professor

Profile

Ankur Rana

Assistant Professor

Profile

Deepak Bhatt

Assistant Professor

Profile

Labs

Internet Lab

Computer Applications Lab

Database Management System Lab

Data Structure Lab

Design and Analysis of Algorithms Lab

AK Khare Interdisciplinary Center of Excellence in AI

Object Oriented Programming Lab

Open Source Lab

Operating System Lab

Python Programming Lab

Explore More

Research Highlights

Quantum University fully supports and encourages interdisciplinary research initiatives across different areas of study.

+Paper Publications
+Patents
+Startup Grants

Industry -Academic Collaborations

Quantum University has partnerships with over 150 industry leaders, providing students with valuable practical experience and exposure to current industry trends. Companies offer internships, real-world projects, and job opportunities to over 900 students annually at the best packages.