Brief Overview

Master of Technology – MTech – Artificial Intelligence and Data Science

The Master of Technology in Artificial Intelligence and Data Science offers a specialized focus to empower students with advanced knowledge and skills crucial for success in the fields of AI and Data Science. The curriculum is meticulously designed to provide a comprehensive academic journey, going beyond theoretical concepts to ensure practical insights and hands-on experience in real-world scenarios.

The core courses lay a strong foundation, covering essential aspects such as the mathematical foundations of computer science, data structures, advanced algorithms, and software engineering methodologies. Complementing these are programme-specific electives in AI and Data Science, allowing students to tailor their academic experience based on their career goals. Additionally, open electives offer flexibility and a well-rounded educational experience.

Duration

Two Years / Four Semesters

PEO (Program Educational Objectives)

PEO 1.

To equip graduates with a strong foundation in computing principles and emerging technologies, enabling them to design, develop, and innovate scalable and intelligent solutions

PEO 2.

To develop graduates with leadership, problem-solving, and entrepreneurial skills to drive technological advancements and contribute to industry, research, and startup ecosystems

PEO 3.

To instill ethical responsibility, sustainability, and a commitment to using technology for addressing global and societal challenges.

PEO 4.

To develop AI-driven problem solvers who can extract insights from vast datasets and build predictive models

PSO (Program Specific Outcomes)

PSO1 :

To design, implement, and optimize intelligent, secure, and scalable computing solutions by integrating emerging technologies .

PSO2 :

To apply computational thinking and interdisciplinary knowledge to develop innovative, ethical, and sustainable technology solutions that address real-world societal and industrial challenges

PSO3 :

To design and implement AI and data analytics solutions that drive decision-making and innovation across industries

PO (Program Outcomes)

PO1. Research and Problem Solving:

An ability to independently carry out research /investigation and development work to solve practical problems

PO2. Technical Communication:

An ability to write and present a substantial technical report/document

PO3. Comprehensive Disciplinary Knowledge:

Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program

PO4. Design/Development of Solutions:

Graduates can design and develop AI-powered solutions for real-world problems, considering constraints and ethical implications.

PO5. Modern Tool Usage:

Graduates are proficient in using modern AI and data science tools and libraries to handle large datasets and complex models, making them suitable for real-world applications.

PO6. Life Long Learning:

Graduates possess the ability to learn new things and adapt to the rapidly changing field of AI and data science

Curriculum Structure

Semester 1
Semester-wise Syllabus
  • Mathematical foundations of Computer Science
  • Advanced Data Structures
  • Program Elective 1
  • Program Elective 2
  • Research Methodology and IPR
  • Skill Enhancement / Value Aided course 1

Program Elective 1

  • Artificial Intelligence
  • Machine Learning
  • Elective 2
  • Recommender System
  • Game Programming

Program Elective 2

  • Data Science
  • Data Preparation and Analysis
  • Big Data Analytics
  • Data Storage Technologies and Networks
Semester 2
Semester-wise Syllabus
  • Advance Algorithms
  • Soft Computing
  • Program Elective 3
  • Program Elective 4
  • Knowledge Discovery
  • Skill Enhancement / Value Aided course 1 and 2
  • Mini Project with Seminar

Program Elective 3

  • Data Visualization and Story Telling
  • Data Warehouse and Data Mining
  • Generative AI

Program Elective 4

  • Data Security and Access Control
  • Web Analytics and Development
  • Speech and Natural Language Processing
  • Deep Learning

Skill Enhancement / Value Aided course 1 and 2

  • English for Research Paper Writing
  • Pedagogy Studies
  • Personality Development through Life Enlightenment Skills.
  • Stress Management by Yoga
  • Sanskrit for Technical Knowledge
  • Value Education
  • Constitution of India
  • Disaster Management
Semester 3
Semester-wise Syllabus
  • Program Elective 5
  • Open Elective
  • Dissertation - I / Industrial Project
Program Elective 5
  • Mobile Applications and Services
  • NO SQL Databases
  • Optimization Techniques
  • Cloud Computing
Open Elective
  • Business Analytics
  • Industrial Safety
  • Operations Research
  • Cost Management of Engineering Projects
  • Composite Materials
  • Waste to Energy
Semester 4
Semester-wise Syllabus
  • Dissertation - II
Applied Probability and Statistics
Research Methodology and IPR
IoT Sustainable Solutions
High Performance Computing for Big Data
Virtual Reality
Cognitive AI
Decision Support Systems
Track–I: Advanced Robotics
This track focuses on the design, intelligence, and integration of robotic and autonomous systems
Students begin with Robotics System Design for Robots and Drones, move to Human–Machine Interaction and Interface, and finally work on Robotics System Integration
The track prepares graduates for careers in autonomous vehicles, drones, industrial robotics, human-centered AI, and robotics research.
Track–II: Data-Driven Insights
This track emphasizes the use of data analytics for business and financial decision-making
Students develop strong analytical foundations through Predictive Analysis, gain domain expertise via Financial Data Analytics, and learn to build enterprise-level insight platforms through Business Intelligence and Analytics
Graduates are well prepared for roles in data science, fintech, business analytics, and corporate strategy.
Track–III: Advanced Analytics
This track provides deep analytical and domain-specific data science skills
It covers Time Series Analysis and Forecasting for trend and demand prediction, Healthcare Data Analytics for intelligent healthcare solutions, and Applied Social Network Analysis for modeling complex social and behavioral systems
The track equips students for careers in healthcare informatics, social data science, policy analytics, and advanced research.
Sed ut perspiciatis

Capstone Project

The Capstone Project, undertaken in Semester III and extended through the Dissertation in Semester IV, is a key experiential and research component of the program that enables students to integrate knowledge from Artificial Intelligence, Machine Learning, Edge Computing, IoT, High-Performance Computing, Distributed Systems, and Generative AI to solve real-world industry and research problems. Aligned with the student’s chosen Program Elective (PE) track, the Capstone involves developing a working prototype or system in Semester III and enhancing it into a research-grade or deployable solution during the Dissertation phase, often in collaboration with industry, startups, or faculty research groups. Through this process, students gain hands-on experience in system design, implementation, experimentation, and performance evaluation, ensuring they graduate with strong technical, analytical, and innovation capabilities, making them both industry-ready and research-oriented.

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Student

Being a B.Tech. IT student at Alliance University has been a truly engaging experience. The program combines strong fundamentals with practical exposure through projects and hands-on learning, helping me understand real-world applications of technology. With supportive faculty and a collaborative environment, I’ve been able to grow in both skill and confidence, preparing me for a career in IT.

Aashish Kumar
Batch: 2022-26

My journey as a B.Tech CSE student at Alliance University has been both challenging and rewarding.The curriculum builds strong fundamentals while emphasising hands-on learning through projects and real-world applications. With approachable faculty and opportunities to collaborate and participate in technical events, learning goes beyond the classroom. Overall, the experience is shaping me into a confident engineer and problem-solver.

Nawneet Raj
Batch: 2022-26

My experience pursuing B.Tech in Computer Science Engineering at Alliance University has been highly rewarding. The program offers a well-balanced curriculum that combines strong theoretical foundations with practical exposure.The faculty members are knowledgeable and supportive, always encouraging us to explore beyond the classroom. Through projects, hackathons, and hands-on learning, I was able to develop both technical and problem-solving skills.The campus environment and infrastructure further enhance the learning experience. Overall, this journey has played a significant role in shaping my skills and preparing me for a career in the tech industry.

Anurag Kumar Prajapati
Batch: 2023-2027

As a final-year BBA student at Alliance University, my journey has been both enriching and transformative.The program strengthened my business fundamentals while giving me hands-on exposure through projects and discussions, building my confidence in decision making. With supportive faculty, collaborative peers, and opportunities beyond academics, I’ve grown both personally and professionally.
Alliance University has shaped me into a confident, career-ready individual.

ARYAN AGARAHARI
Batch: 2023-2026

What I’ve experienced at Alliance University is not just learning business, but learning how to think like one.
Through projects, presentations, and exposure to areas like marketing and finance, I’ve built both clarity in thought and confidence in expression.
The environment constantly encourages you to take initiative, and that has made all the difference in preparing me for the professional world.

Rajnandini Malewadi
Batch: 2025-2029

As a second-year B. Design student at Alliance University, my journey so far has been about learning to think beyond just creating.
The program has helped me move from focusing only on aesthetics to understanding users, context, and the purpose behind every design decision. The learning environment encourages us to question ideas, experiment freely, and develop our own design perspective, while also building discipline in how we execute and present our work.
In these two years, I’ve grown not just in skills, but in the way I approach problems  and that’s what makes studying design at Alliance University truly meaningful.

Anannya Jain
Batch: 2024-2029

Looking back, what stands out about my time at Alliance University is not just what I’ve learned, but how I’ve learned to think.
The shift from simply studying law to questioning, interpreting, and forming my own perspective has been gradual but meaningful. Through moots, discussions, and real-world context, learning has felt active and engaging.
Today, I find myself more confident in how I analyze, articulate, and respond — and that, more than anything else, defines my journey here.

Chelana Sanklecha
Batch: 2021- 2026

Somewhere along my journey at Alliance University, BBA LL.B. became less about subjects and more about understanding connections.
The blend of business and law, through case studies and practical exposure, has helped me think more holistically and respond with clarity.
What I take forward is not just knowledge, but confidence in how I analyse and approach situations.

Shreya Pragadh
Batch: 2023-2028

Studying B.A. LL.B. at Alliance University has changed how I think, more than anything else.
It’s not just about learning law  it’s about learning how to question it. From analysing cases to participating in moots, every experience pushes you to form your own perspective rather than rely on ready-made answers.
What makes this journey meaningful is the environment. The faculty guide without restricting, and the constant exchange of ideas keeps you engaged.Somewhere along the way, you realise you’re not just studying law you’re learning how to think with clarity, argue with purpose, and respond with responsibility.

ISHITA SHUKLA
Batch: B.A.LL.B.

My MBA experience at Alliance University has been highly enriching. The program combines strong academics with practical exposure, helping me develop critical thinking and leadership skills. Supportive faculty, industry-oriented curriculum, and various learning opportunities have prepared me well for a successful career.

Palak Jain
Batch: 2025-2027

My experience pursuing BCA in Artificial Intelligence and Machine Learning at Alliance University has been both challenging and enriching. The program has helped me build a strong foundation in programming, data science, and analytical thinking. Through projects, assignments, and practical exposure, I have gained valuable skills that prepare me for real-world technology and AI applications.

Anuska Ghosh
Batch: 2024-2028

Alliance University has helped me build a strong foundation in computer science and technology. The program combines theoretical knowledge with practical learning through projects and assignments. I have gained exposure to areas like programming, data structures, machine learning, NLP, and AI related concepts so far. The collaborative environment and supportive faculty encourage continuous learning and problem-solving. Overall, it has been a valuable step in developing my technical and analytical skills.

Vishesh Gurnani
Batch: 2024-2028
Program Eligibility Criteria

Criteria 1

B.E. / B.Tech. with minimum 50% marks or equivalent in CGPA in Computer Science/Information Technology or MCA.

Criteria 2

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST.

STUDY ABROAD OPTIONS

Study Abroad Options

Alliance University offers a range of international academic programmes designed to broaden students’ global exposure, enhance cross-cultural understanding, and provide valuable international academic experience. These include Semester Exchange Programs, International Summer School Programs, Dual Degree Programs, and Twinning Programs, all of which aim to expand academic perspectives, introduce students to varied instructional strategies, and prepare them to address complex global challenges with versatile skills.Under these programs, students can:

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FAQS

Everything You Need to Know

Yes, M. Tech. in AI & Data Science Program is designed to be industry-oriented, focusing heavily on practical skills, real-world hands-on projects, and tools like Python, R, & SQL, alongside core AI/ML concepts to bridge theory with industry demands for immediate career relevance. The pedagogy is research-oriented projects, internships, industry collaborations, and specialized labs. The curriculum is designed to integrate theoretical knowledge with real-world applications.
The M. Tech. in Artificial Intelligence and Data Science Program offered by the Alliance School of Computer Science and Engineering is a two-year, full-time postgraduate degree course spanning four semesters.
Alliance University\'s M. Tech. in AI & Data Science covers core CS fundamentals like Algorithms, Data Structures, and Math, and advanced topics like Machine Learning, Deep Learning, Big Data Analytics, NLP, Computer Vision, Statistical Modelling, and tools for real-world data challenges, with a focus on hands-on experience, labs, and industry projects.
After completing an M. Tech. in Artificial Intelligence (AI) and Data Science, a wide array of high-demand and high-paying career opportunities are available across numerous industries, including technology, finance, healthcare, and e-commerce. The core technical roles are Machine Learning (ML) Engineer, Data Scientist, AI Engineer, Big Data Engineer/Architect, and AI Research Scientist.
To be eligible for the M. Tech. in AI & Data Science Program, you need a B.E./B. Tech. (or MCA) in Computer Science/IT with at least 50% aggregate marks (45% for SC/ST), clearing all backlogs, and a valid score in entrance exams like Karnataka-PGCET or AUET, with the selection based on your overall profile, academics, and interview.
Yes, students in AI & Data Science Programs are exposed to research through dedicated project assignments, industry collaborations, and a focus on experiential learning, with avenues for hands-on exploration in areas like Machine Learning, Deep Learning, and Big Data Analytics, alongside internships and innovation labs.
AI and Data Science integrate with Cloud, IoT, and Big Data by leveraging each technology\'s strengths to create powerful, end-to-end data processing and intelligence systems. The integration can be viewed as a pipeline and ecosystem.
M. Tech. in AI & Data Science offers specialised electives like Deep Learning, Generative AI, NLP, Cloud Data Analytics, Computer Vision, Recommender Systems, Data Security, Cyber Security, plus value-added courses in Research Writing, Personality Dev, Stress Management, and career skills (communication, aptitude). We have a plethora of options offered through Coursera platform. The dedicated placement cell at Alliance University conducts workshops and webinars regularly to build strong knowledge and skill sets.
The global demand for AI and Data Science experts, particularly those with an M. Tech. degree, is exceptionally high and rapidly increasing. This surge is driven by the widespread adoption of AI and data-driven technologies across nearly every industry, creating a significant talent gap that advanced degree holders are well-positioned to fill. The demand translates into excellent career prospects and lucrative salaries across the world. Countries like the United States, United Kingdom, India, Canada, and Germany are major hubs for AI and data science talent, with significant job openings and competitive salaries.
Indeed. Alliance University\'s M. Tech. in AI and Data Science is highly suitable for careers in both generative AI and real-time analytics. The curriculum is designed to provide advanced, practical skills in cutting-edge AI fields and data processing, preparing graduates for a variety of in-demand roles.
M. Tech. in AI & Data Science offers internships, industry projects, and mentorship organised by the dedicated Career Advancement and Networking (CAN) department, focusing on real-world skills through hands-on work, placements with companies in IT, consulting, and other sectors, and a curriculum designed for practical industry application.
Candidates need to submit an online application. Post the screening of the applications, applicants must go through an online aptitude test followed by a personal interview round. For further details, you can refer to the Admissions Process Page.
Yes. Scholarships are available based on merit for M . Tech. in AI and Data Science. For more details, refer to the Scholarship section of the Admissions Process Page.
M. Tech. in AI & Data Science prepares students for AI Engineering/Data Architecture roles through a strong foundation in core CS, specialized AI/ML/Big Data modules (NLP, Deep Learning), hands-on projects with industry tools, real-world problem-solving, and skills in statistical modelling, enabling practical application for designing intelligent systems and analysing complex data for roles like Data Scientist, ML Engineer, and AI Specialist.
The Program fee for M. Tech. at Alliance University is Rs. 4 lakhs for a period of two years, payable in 2 instalments. Hostel fee shall be additional. For further details, refer to the Fee Structure section of the Admissions Process Page.
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