M.Tech in Artificial Intelligence & Data Science at Sigma University, Vadodara
Master emerging technologies with an industry-aligned M.Tech in Artificial Intelligence and Data Science — build your future in AI, ML, and Data Science at one of Gujarat’s leading tech universities.
M.Tech in Artificial Intelligence & Data Science is a 2-year Post graduate engineering degree.
Why Pursue M.Tech in Artificial Intelligence & Data Science at Sigma University?
Top-Ranked AI and Data Science Institute in Gujarat
Sigma University is recognized for its excellence in engineering education, particularly in emerging fields such as artificial intelligence and Data Science. The university’s commitment to quality education and research has positioned it among the top institutes in Gujarat.
Future-Focused Curriculum Aligned with Industry Demands
The M.Tech program is designed to meet the evolving needs of the tech industry. It encompasses the latest advancements in AI and Data Science, ensuring that students are well-equipped to tackle real-world challenges.
Project-Based Learning and Research Opportunities
Students engage in hands-on projects, research initiatives, and collaborations with industry partners. This experiential learning approach fosters innovation and practical problem-solving skills.
About the M.Tech AI and Data Science Program
The program spans two years, divided into four semesters, and offers a comprehensive curriculum that balances theoretical knowledge with practical applications
Approved by AICTE & UGC
Sigma University’s M.Tech program in Artificial Intelligence & Data Science is approved by the All India Council for Technical Education (AICTE) and the University Grants Commission (UGC), ensuring adherence to high academic standards.
Built on Choice-Based Credit System (CBCS)
The CBCS framework allows students to tailor their learning experience by choosing electives that align with their career goals and interests.
Key Highlights of the Program
Integrated Learning of AI, ML, Big Data & Deep Learning
The curriculum integrates core areas such as Artificial Intelligence, Machine Learning, Big Data, and Deep Learning, providing a holistic understanding of the field.
Hands-On Experience with Real-World Projects
Students work on real-world projects, allowing them to apply theoretical concepts to practical scenarios and enhance their problem-solving abilities.
AI Labs, Hackathons & Capstone Projects
The university hosts state-of-the-art AI labs and organizes hackathons, encouraging students to innovate and collaborate on capstone projects that address real-world problems.
Curriculum & Academic Structure
Semester-Wise Syllabus for M.Tech AI and Data Science
The program’s curriculum is structured to build expertise progressively:
- Semester I: Foundations of AI, Mathematics for Data Science, Programming Languages
- Semester II: Machine Learning, Data Mining, Natural Language Processing
- Semester III: Electives, Research Methodology, Minor Projects
- Semester IV: Dissertation, Major Project
Core Subjects: Machine Learning, Data Mining, NLP
Core subjects include Machine Learning, Data Mining, and Natural Language Processing, equipping students with essential skills for the AI and Data Science domains.
Electives & Research-Driven Modules
Students can choose from a range of electives such as Computer Vision, Cloud Computing, and Advanced Algorithms, allowing them to specialize in areas of interest.
Electives & Research-Driven Modules
Students can choose from a range of electives such as Computer Vision, Cloud Computing, and Advanced Algorithms, allowing them to specialize in areas of interest.
Final Year Capstone Project & Dissertation
In their final semester, students undertake a capstone project and dissertation, demonstrating their ability to conduct independent research and make contributions to the field.
Eligibility & Admission Process
Eligibility: B.E./B.Tech in CS/IT/ECE or Related Fields
Candidates must hold a Bachelor’s degree in Engineering, Technology, Computer Science, Information Technology, Electronics and Communication, or a related field, with a minimum aggregate of 50% (45% for reserved categories).
Admission via GATE or University Entrance Test
Admissions are based on GATE scores or the university’s entrance examination, ensuring that students have the requisite aptitude for advanced studies.
Step-by-Step Online Application Process
Visit the official Sigma University website.
Navigate to the ‘Apply Online’ section.
Fill out the application form with the required details.
Upload necessary documents.
Pay the application fee and submit the form.
Keep a copy of the submitted application for future reference.
Navigate to the ‘Apply Online’ section.
Fill out the application form with the required details.
Upload necessary documents.
Pay the application fee and submit the form.
Keep a copy of the submitted application for future reference.
Fees, Scholarships & Financial Aid
Annual Fee Structure for M.Tech AI & Data Science
The annual tuition fee for the M.Tech program is competitive, reflecting the quality of education and facilities provided. For detailed fee information, prospective students should refer to the official Sigma University website or contact the admissions office.
Scholarships for Meritorious and Reserved Category Students
Sigma University offers various scholarships, including merit-based and reserved category scholarships, to support students financially.
EMI Facilities & Educational Loan Support
To ease the financial burden, the university offers EMI options and helps students secure educational loans from recognized financial institutions.
M.Tech Fees, Scholarships & Financial Aid
The annual tuition fee for M.Tech programs at Sigma University is structured competitively to provide value for money while maintaining top academic standards. Exact fees vary by specialization.
Merit-Based & Reserved Category Scholarships
Students with high academic performance or from SC, ST, or OBC categories are eligible for scholarships. Sigma also supports economically weaker sections with need-based aid.
EMI Options & Financial Assistance
We offer convenient EMI plans and loan support through partner banks to ensure that financial constraints do not come in the way of your academic aspirations.
Career Opportunities After M.Tech in AI and Data Science
Graduates can pursue roles such as AI Engineer, Data Scientist, Machine Learning Engineer, and Data Analyst, among others, in various industries.
Opportunities in Tech Giants, Startups, and R&D
The demand for AI and Data Science professionals spans tech giants, innovative startups, and research and development organizations, offering a diverse range of career paths.
Pathways to Ph.D. and Higher Research
The program lays a strong foundation for those interested in pursuing doctoral studies or engaging in advanced research projects in AI and Data Science.
Top Recruiters & Placement Highlights
➞ Companies Hiring M.Tech AI & Data Science Graduates
Sigma University has a robust placement cell that collaborates with leading companies to facilitate recruitment. Graduates have been placed in organizations specializing in technology, analytics, and research.
➞ Placement Support, Internships & Training
Sigma University’s dedicated Career Development Cell (CDC) provides end-to-end support for placements. From resume-building workshops and mock interviews to industry-driven training sessions, the CDC prepares students for recruitment by top-tier companies. Students also benefit from internship opportunities in live projects with AI-focused enterprises, allowing them to gain practical experience before graduation.
➞ Highest and Average Salary Packages
Graduates from the M.Tech AI and Data Science program have secured competitive salary packages, with top offers reaching up to ₹12 lakh per annum. The average salary ranges from ₹5 to ₹ 7 LPA, depending on the student’s skill set, academic performance, and internship experience. These figures reflect the growing demand for professionals skilled in AI, machine learning (ML), and data science technologies.
Faculty & Research Excellence
Ph.D. Faculty with Industry Experience
Sigma University boasts a strong team of highly qualified faculty members, many of whom hold Ph.D. degrees and have decades of experience in teaching and industry. Their expertise ensures that students receive academic instruction grounded in current trends and practical applications.
Research Projects in AI, Machine Learning & Big Data
Faculty members lead innovative research initiatives in collaboration with industry partners and government agencies. Areas of research include algorithm optimization, smart city data analysis, computer vision, healthcare AI, and other related fields. Students are encouraged to participate in these projects and publish their findings.
Publications, Patents & International Collaborations
The university actively promotes scholarly excellence. Faculty and students have published in reputed journals and conferences. Sigma University is also involved in patent development and has academic exchange and research collaborations with universities and tech institutions abroad, especially across Europe and Asia.
Student Life & Campus Facilities
Sigma University’s campus is equipped with next-generation computing infrastructure, including high-performance GPU systems, advanced AI software, and dedicated data science labs. These facilities allow students to experiment, prototype, and train machine learning models using real-world datasets.
Mentorship, Innovation Clubs & Tech Events
Students benefit from mentorship by faculty and industry professionals. Innovation clubs foster creativity, while frequent hackathons, tech fests, seminars, and workshops help students build networks, improve problem-solving skills, and explore entrepreneurial opportunities in AI and data science.
Hostel, Library, Cafeteria, and Sports Facilities
The university offers on-campus hostels with all essential amenities for outstation students. A well-stocked digital and physical library provides access to academic resources, research journals, and e-books. Cafeterias offer nutritious meals, and recreational facilities, including sports grounds and gymnasiums, ensure students maintain a healthy balance between academics and well-being.
M.Tech in AI and Data Science FAQs
What is the eligibility for M.Tech in Artificial Intelligence and Data Science?
To apply for M.Tech in AI and Data Science at Sigma University, candidates must hold a B.E./B.Tech degree in Computer Science, IT, ECE, or a related field with a minimum of 50% marks (45% for reserved categories). Final-year undergraduate students may also apply provisionally, provided they fulfill the eligibility requirements before the course commences.
What subjects are covered in this M.Tech program?
The program covers core subjects such as Artificial Intelligence, Machine Learning, Data Mining, Deep Learning, and Natural Language Processing (NLP). Students also study mathematics for applications in data science, programming, research methodologies, and advanced electives such as computer vision, cloud computing, and big data analytics. A capstone project and dissertation form a key part of the curriculum.
What is the admission process for M.Tech at Sigma University?
Admissions are based on performance in GATE or Sigma University’s entrance exam. Eligible candidates must complete the online application form, upload required documents, pay the application fee, and appear for the test or submit GATE scores. Selected students will receive admission offers after their academic credentials and test results are verified.
What is the fee structure for this course?
Sigma University offers a competitive fee structure for its M.Tech program in AI and Data Science. While exact figures may vary from year to year, the total annual tuition fee is affordable compared to other private universities. Students can also avail of EMI options, scholarships, and education loan support to finance their studies comfortably.
Can I apply for M.Tech in AI and Data Science online?
Yes, Sigma University offers a seamless online application process. Prospective students can visit the university’s official website, complete the application form, upload required documents, and pay the fee online. All communication regarding exam dates, results, and admission confirmation is done via email and the university portal.
Are there any scholarships for M.Tech students?
Yes, Sigma University provides several scholarships for M.Tech students. These include merit-based scholarships, reserved category scholarships (for SC, ST, and OBC), and financial assistance for economically weaker sections. Students can also apply for education loans through partner banks.
Does Sigma University offer scholarships?
Yes, the university offers several scholarships based on academic performance, category reservations, and economic background. Merit-based scholarships are awarded to students with high scores in previous education or entrance exams. Students from reserved categories and those from economically weaker sections may also qualify for financial aid or fee concessions.
What are the job prospects after completing this M.Tech?
Graduates of the M.Tech in AI and Data Science program can pursue careers as Data Scientists, Machine Learning Engineers, AI Developers, Business Intelligence Analysts, and Research Scientists. Top tech companies, R&D labs, and startups recruit them. The degree also opens opportunities for higher studies, including a Ph.D. and international research fellowships.
About the M.Tech in Artificial Intelligence & Data Science Program
The M.Tech program in Artificial Intelligence & Data Science at Sigma University is meticulously crafted to equip individuals with advanced knowledge and skills in cutting-edge technologies. Our comprehensive curriculum covers a wide range of topics, including machine learning algorithms, deep learning, natural language processing, and big data analytics. Through hands-on projects, research opportunities, and industry collaborations, students gain practical experience and insights into real-world applications of AI and data science. Post Graduates emerge as highly skilled professionals ready to tackle complex challenges and drive innovation in fields such as AI engineering, data science research, predictive analytics, and more.
Affiliation
Sigma University
Approvals
AICTE, New Delhi & UGC, New Delhi
Duration
02 Years
Eligibility for Admission
• BE/BTech in Computer Science or Artificial Intelligence with 50% aggregate
• MTech in AI entrance exam includes GATE, IPU CET, IIT JAM, and TANCET.
Admission Schedule
As per the directives of Admission Committee. Usually from May to October every year.
How to Apply?
Visit: https://admissions.sigmauniversity.ac.in/
Call: +91 7567176000
Start Date
July 2025
College / Campus
Faculty of Engineering & Technology (Sigma Institute of Engineering), Sigma University Vadodara.
Shifts (Working hours)
10: 00 am to 05:00 pm
Curriculum
| Sem | Course Code | Course Name | Theory (T) | Tutorial (T) | Practical (P) | Hrs | Credit | Detail Syllabus |
|---|---|---|---|---|---|---|---|---|
I |
1MAI01 |
Applied Mathematics |
3 |
2 |
0 |
5 |
4 | |
I |
1MAI02 |
Introduction to Machine Learning |
3 |
0 |
2 |
5 |
4 | |
I |
1MAI03 |
Data Mining and Warehousing |
3 |
0 |
2 |
5 |
4 | |
I |
1MAI04 |
Introduction to Cloud Fundamental |
3 |
0 |
2 |
5 |
4 | |
I |
1MAI05 |
Advanced Python Programming |
3 |
0 |
2 |
5 |
4 | |
15 |
2 |
8 |
25 |
20 |
| Sem | Course Code | Course Name | Theory (T) | Tutorial (T) | Practical (P) | Hrs | Credit | Detail Syllabus |
|---|---|---|---|---|---|---|---|---|
II |
2MAI01 |
Deep Learning |
4 |
0 |
2 |
6 |
5 | |
II |
2MAI02 |
Natural Language Processing |
3 |
0 |
0 |
3 |
3 | |
II |
2MCS03 |
Research Methodology |
3 |
0 |
0 |
3 |
3 | |
II |
2MAI03 |
Advance Machine Learning |
3 |
0 |
2 |
5 |
4 | |
II |
2MAI04 |
Statistical Foundation for Machine Learning |
4 |
0 |
2 |
6 |
5 | |
17 |
0 |
6 |
23 |
20 |
Leading Companies Hiring from Our School
Leading companies hire our graduates for their industry-ready skills, strong academics, and hands-on experience.
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