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Top 5 Colleges in Uttar Pradesh for M.Tech CSE in AI & ML Program
Table of Contents:
Introduction
"Success in creating AI would be the biggest event in human history." -Stephen Hawking.
Artificial Intelligence is no longer a research-lab curiosity-it is the layer running underneath fraud detection at your bank, the diagnosis support tool your doctor uses, the recommendation engine deciding what you watch, and the algorithms powering self-driving cars. Every industry now needs engineers who don't just know how to code, but understand how machines learn, predict, and make decisions. That is exactly the gap a M.Tech CSE in AI & ML program is built to close.
Unlike a generic M.Tech in AI or a standalone data science degree, an M.Tech CSE specialization in AI & ML keeps you rooted in core computer science-algorithms, systems design, data structures, distributed computing-while layering advanced AI, deep learning, and applied machine learning on top of that foundation. For students in Uttar Pradesh, this combination is now available through a small but growing number of institutions.
Direct Answer: In 2026, the best M.Tech CSE AI & ML colleges in UP often share a lot of things that are similar — a futuristic curriculum developed around deep learning, NLP, and applied machine learning, hands-on work with real datasets and industry-grade tools, and certification or placement support that actually delivers after completion of the postgraduate degree. Among options available, Chandigarh University Uttar Pradesh currently leads this list with its SAS-powered M.Tech CSE in AI & ML program, followed by other UP universities offering strong AI & ML-focused postgraduate options.
Why M.Tech CSE in AI & ML Is a Smart Choice in 2026
AI & ML Are No Longer "Emerging" — They're the Baseline
A decade ago, AI and ML were electives tucked inside a broader CSE syllabus. Nowadays, they are the syllabus. The global artificial intelligence market is estimated to grow at a CAGR of around 21% through 2030, and this growth is turning directly into hiring demand. Employers are no longer looking for generalist software engineers with a superficial exposure to AI—they want specialists who have trained on real tools, real datasets, and real industry problems from day one.
Why UP Is a Strong Place to Study It
Uttar Pradesh has become one of India's busiest higher-education corridors, particularly along the Delhi-NCR to Lucknow stretch. Several universities here have moved beyond generic "M.Tech in CSE" programs and built dedicated AI & ML specializations backed by real industry partnerships-meaning students don't just learn AI in theory, they train on the same enterprise platforms companies actually use.
Read more on why choose CU-UP for the M.Tech CSE in AI & ML program.
M.Tech CSE AI & ML in UP: Key Highlights at a Glance
|
Parameter |
Details |
|
Program Duration |
2 Years (4 Semesters) |
|
Core Focus Areas |
Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Data Analytics, Forecasting & Optimization |
|
Top M.Tech CSE AI & ML College in UP |
Chandigarh University Uttar Pradesh (CU-UP) — in collaboration with SAS |
|
Other Universities Offering AI/ML M.Tech in UP |
Shri Ramswaroop Memorial University (Lucknow), Amity University (Noida), Sharda University (Greater Noida), GLA University (Mathura) |
|
Modes of Admission |
CUCET (CU-UP), GATE / NET, University-specific entrance tests |
|
Annual Fees |
Around ₹1.5 Lakh to ₹3 Lakh+ Per Year (varying based on the college) |
|
Industry Partner |
SAS (CU-UP) — top company in the world offering advanced data analytics & AI solutions |
|
AI Integration in Curriculum |
Maximum 80% of the curriculum includes contemporary tools, project work, and applications of AI |
Quick List: Top 5 Colleges in UP for M.Tech CSE in AI & ML
Chandigarh University Uttar Pradesh, Lucknow-M.Tech CSE in AI & ML in collaboration with SAS, with 135+ hours of industry training, 3 global SAS certifications, and 24×7 lab access
Shri Ramswaroop Memorial University (SRMU), Lucknow-M.Tech in Artificial Intelligence & Machine Learning built around research-driven, industry-relevant training
Amity University, Noida-M.Tech in Artificial Intelligence covering deep learning, NLP, and computer vision with experienced AI faculty
Sharda University, Greater Noida-M.Tech (CSE) program with strong AI & ML-linked specializations and active industry placement support
GLA University, Mathura-M.Tech (CSE) backed by strong AI/ML-focused undergraduate pipeline and industry collaborations with Microsoft and IBM
What to Look for in an M.Tech CSE AI & ML College in UP
Before shortlisting a college by name or fee alone, check for these:
Is there a real industry collaboration, not just a logo?
A named partner like SAS, IBM, or Microsoft should translate into actual certifications, tools, and mentorship — not just a mention on the brochure.How many hours of industry training are built in?
Standard industry training benchmarks sit around 70 hours; leading programs now offer 130+ hours delivered directly by industry experts.Do students get access to enterprise-grade tools?
Working with SAS Viya, real datasets, and industry platforms matters far more than only using open-source teaching tools.Is there dedicated placement and internship support?
Look for structured internship programs (like SAS Talent Connect) and certification recognition platforms such as Credly/Acclaim.What labs and Centres of Excellence (COEs) exist?
Dedicated AI, Data Science and Analytics Centres of Excellence demonstrate serious commitment to specialization, not just a CSE syllabus in new attire.
Top Colleges: Detailed Overview
1. Chandigarh University Uttar Pradesh, Lucknow — India's Only SAS-Powered M.Tech CSE in AI & ML
Chandigarh University Uttar Pradesh (CU-UP) provides a 2-year M.Tech CSE in AI & ML program in tie-up with SAS, the leading provider of advanced analytics solutions. This program is designed to offer the latest knowledge in Artificial Intelligence (AI), machine learning, and data analytics through a balanced combination of theoretical as well as practical industry learning experience. Not to deny that it often prepares individuals for high-level careers in core fields of AI, data science, and analytics.
What sets this program apart is the sheer depth of industry integration. Students receive 135+ hours of classroom training delivered directly by SAS industry experts — significantly higher than the standard industry benchmark of 70 hours — along with 200+ hours of self-paced learning through the SAS Learning Portal (with two years of access). The curriculum is built around real, industry-relevant modules: SAS Forecasting using Model Studio, Optimization Concepts for AI & Data Science, and Applications of Machine Learning.
The students are trained on SAS Viya platform using real-life datasets and have 24*7 access to professional labs. As of now, our curriculum incorporates almost 80% AI and 40% experiential learning, having state-of-the-art infrastructure such as CSE labs, Apple lab, Microsoft center of excellence, and SAS center of excellence. The students are provided access to workshops, lectures by experts, and hackathons in the form of research clubs and tech community and also guidance from the faculty that comprises alumni from IIT, IIIT, and other prestigious institutions.
By the end of the program, students earn:
SAS Certified Specialist: Forecasting & Optimization Using SAS Viya
SAS Certified Specialist: Machine Learning Using SAS Viya
3 SAS Digital Badges (with the option to earn more through prerequisite courses)
Internship opportunities are available through the SAS Talent Connect Program starting in the second year, and placement support is reinforced through Credly/Acclaim certification recognition — giving graduates a certification trail that's globally verifiable.
|
Program Highlights |
Details |
|
Program Type |
M.Tech CSE in AI & ML — 2 Years, 4 Semesters |
|
Industry Partner |
SAS — world's #1 provider of advanced analytics solutions |
|
Industry Training Hours |
135+ hours delivered by SAS experts (vs. 70-hour industry standard) |
|
Self-Paced Learning |
200+ hours via SAS Learning Portal (with 2-year access) |
|
AI Integration |
~80% of the overall curriculum |
|
Experiential Learning |
~40% practical and application-based learning |
|
Labs / COEs |
CSE Labs, Apple Lab, Microsoft COE, and dedicated SAS COE |
|
Tools Taught |
SAS Viya, SAS Visual Analytics, SAS Optimization, and SAS Machine Learning (VDMML) |
|
Internship |
Through SAS Talent Connect Program (2nd year) |
|
Capstone / Dissertation |
Industry-oriented capstone projects with SAS integration during the final year |
|
Certifications |
2 SAS Certified Specialist credentials + 3 SAS Digital Badges |
|
Research Domains |
AI, Data Science, Generative AI & NLP, Computer Vision, Deep Learning, and Autonomous Systems |
|
Admission Route |
CUCET — Chandigarh University Common Entrance Test |
|
Key USP |
Advanced AI/ML labs, training in next-gen AI tools, faculty from IITs/IIITs, active research clubs, and hackathons |
Know More About M.Tech CSE in AI & ML (with SAS) at CU-UP
2. Shri Ramswaroop Memorial University, Lucknow — Research-Focused AI & ML Training
SRMU's M.Tech in Artificial Intelligence & Machine Learning is designed for students who want technical depth combined with research exposure. The program covers intelligent automation, predictive analytics, and the fundamentals needed to design and deploy AI/ML systems at scale. Eligibility criteria include a minimum of 50% marks (45% for SC/ST categories) in B.Tech (CSE/IT/ECE) or equivalent master’s degree MCA/M.Sc. in related fields.
Perfectly suited for those desiring Lucknow-based programs emphasizing an academic research perspective towards AI & ML.
3. Amity University, Noida — Comprehensive AI Curriculum with Experienced Faculty
Amity University's M.Tech in Artificial Intelligence, covers most of the aspects of Artificial Intelligence. Not to deny it also offers better learning options in machine learning, deep learning, natural language processing, and computer vision with a strong emphasis on algorithms, models, and frameworks. The best part of them is that they offer this course in small class sizes, giving students quality access to professors with substantial industry and research experience.
Well-suited for students who want a comprehensive, faculty-driven AI curriculum in the Delhi-NCR region.
4. Sharda University, Greater Noida — Strong Industry Placement Pipeline
Sharda University offers M.Tech programs in the Computer Science and Engineering space with strong linkages to its well-established AI & ML ecosystem — built on the back of one of the region's most active undergraduate AI/ML pipelines. This university Placement record is very active with regular recruitment drives from companies like TCS, Amazon and Google among others.
Well-suited for students prioritising strong industry connect and placement infrastructure in Greater Noida.
5. GLA University, Mathura — Backed by Strong Industry Collaborations
At GLA University, M.Tech (CSE) courses are backed by an environment of AI/ML industry collaborations, which include academic collaborations with companies like Microsoft, IBM, Intel, and NEC at the undergraduate level, and this paves way for excellent research and lab facilities post graduation. GLA University is known for its great placement, some of which have been up to ₹55 Lakh annually.
Well-suited for students who want a university with deep industry-tie-ups and consistent placement outcomes.
Table Showing a Comparative Analysis
|
College |
Course Name |
Industry Partner |
Key Highlights |
Best for |
|
Chandigarh University UP, Lucknow |
M.Tech CSE in AI & ML |
SAS |
135+ hours of SAS training, 2 global certifications, SAS Viya labs |
Students who want the most industry integrated AI & ML course in UP |
|
SRMU, Lucknow |
M.Tech in AI & ML |
— |
Academic oriented & Research intensive |
Research-oriented students |
|
Amity University, Noida |
M.Tech in Artificial Intelligence |
— |
Detailed AI syllabus, smaller batches |
Students seeking individual attention of faculty members |
|
Sharda University, Greater Noida |
M.Tech (CSE) |
— |
Good placement opportunities |
Students who want placements |
|
GLA University, Mathura |
M.Tech (CSE) |
Microsoft, IBM, Intel, NEC (UG level) |
Good industry collaboration |
Students who seek an industry related ecosystem |
Industry Demand & Key Numbers: Why M.Tech CSE AI & ML Careers Are Growing
- The explosive growth of the global AI market — valued at $390.9 billion in 2025 and projected to reach $3,497.3 billion by 2033 at a CAGR of 30.6% — is exactly what an M.Tech in CSE with AI & ML specialization is designed to prepare you for, equipping graduates with the advanced technical depth that this scale of industry expansion demands. Source: Grand View Research.
- It has led to an increase in demand for jobs in the sector, as indicated by the 163% rise in AI and ML jobs posted from 2024 to 2025, and “AI Engineer” has emerged as the #1 fastest-growing job title in the US, with a yearly growth rate of 143%.Source: LinkedIn / HeroHunt.ai. The PwC 2025 Global AI Jobs Barometer report on an international level has revealed that the rate of growth of jobs requiring AI skills is 3.5 times more than other job postings. Source: PwC, via Novoresume.
- Interest in such specializations begins well before post-graduation – B. Tech admissions in India saw its highest level in eight years in 2024-25, registering 12.53 lakh admissions; an increase of 67% from 2017-18 – mostly on account of students preferring AI, ML, Data Science, and CSE to other streams. Source: EducationToday, citing AICTE data. This funnel of undergraduates is precisely the talent pool that an M.Tech CSE AI & ML program is built to upskill further, since the overall engineering enrolment rate has also climbed to a five-year high of 75.07% in 2024–25, up from 53.73% in 2020–21 — meaning more students than ever are entering the pipeline this M.Tech program can take to the next level. Source: Careers360, citing AICTE data.
- SAS, the industry partner behind CU-UP's M.Tech CSE AI & ML program, is recognised globally as the No.1 provider of advanced analytics solutions-a strong signal of the caliber of certification and tools students are trained on.
- Industry average AI/ML training programs take about 70 hours to complete. Currently, the best M.Tech courses provide over 130 hours of industry training, which is almost twice as much as usual.
- Many industries, from IT to healthcare, from finance to retail, and even manufacturing industries hire people to work with AI and ML and make decisions based on their work.
Career Pathways After M.Tech CSE in AI & ML
In today’s time, individuals who have completed their M.Tech CSE AI & ML course from a reputed institute can hassle-free get closer to research-focused, and industry-connected roles across different industries.
Data Scientist-building predictive models and deriving insights from complex datasets
Machine Learning Engineer- developing, training, and deploying ML models into production systems
Artificial Intelligence Engineer- designing intelligent systems and AI-driven applications
Data Analyst / Business Analyst- translating data into actionable business strategy
AI Researcher / Research Scientist- advancing AI methods through applied and academic research
Analytics Consultant- advising organisations on data strategy and AI adoption
Big Data Engineer-building and managing large-scale data pipelines and infrastructure
These roles span industries including IT, healthcare, finance, retail, and manufacturing- sectors where intelligent systems and data-driven decision-making are now business-critical rather than optional.
Indicative Salary Ranges After M.Tech CSE in AI & ML
|
Career Stage |
Estimated Salary Range (India) |
|
Entry-Level: Data Analyst, Junior ML Engineer |
₹6-10 LPA |
|
Mid-Level: (3-5 Years Exp.) Data Scientist, AI Engineer |
₹12-22 LPA |
|
Senior Level: Lead Data Scientist, AI Research Lead |
₹25-40 LPA+ |
|
Analytics Consultant: (Specialized, Certified Professionals) |
Depends on the nature of the project and client |
Note: Figures are indicative industry estimates and will vary by role, company, city, and certification profile.
Eligibility, Fee Structure & Admission Process
|
Criteria |
Details |
|
Minimum Education Requirements |
B.Tech / B.E. in CSE, IT, ECE or related engineering stream; also MCA/M.Sc. at some universities |
|
Minimum Percentage |
Usually 50-60%, varying with universities and categories |
|
CUCET CU Admission |
CUCET - Chandigarh University Common Entrance Test |
|
Admission Process for Other Universities |
GATE/NET score or university specific entrance test |
|
Fees Structure per Annum |
₹1.5 Lakh - ₹3 Lakh+ depending upon universities |
|
Scholarships |
Yes at most universities depending on entrance score/merit |
Frequently Asked Questions
Q1. Which is the best M.Tech CSE AI & ML college in UP for 2026?
Among the most-recommended options available, Chandigarh University, Uttar Pradesh is surely the best choice for taking M.Tech CSE in AI & ML course in collaboration with SAS, which provide interested students with 135+ hours of industry training and internationally recognized courses, with SAS Viya-powered 24×7 labs.
Q2. What are the admission criteria for M.Tech CSE AI & ML in Uttar Pradesh?
Not to deny that a lot of institutions in Uttar Pradesh ask for a minimum of 50-60% aggregate in B.Tech/B.E. in Computer Science, IT or any other engineering stream, while some take MCA or M.Sc. in any concerned field too. The mode of admission differs; for CU-UP, it's CUCET, but GATE/NET or university-level tests elsewhere.
Q3. What would be the career opportunities for students post completion of M.Tech CSE AI & ML in India?
Some of the best jobs one can think of choosing from after taking this course include the following:
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- Data/Business Analyst
- AI Researcher
- Analytics Consultant
- Big Data Engineer
Q4. Is M.Tech CSE in AI & ML a good program to pursue in 2026?
Yes! The degree proGRAM which have alliances with industrial firms, such as the M.Tech program offered by CU-UP in collaboration with SAS which is a renowned name in analytics, offer experience in addition to internationally accepted certification programs and internships.
Q5. Which core subjects and technologies are part of M.Tech CSE AI & ML?
Top subjects include Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Data Analytics, apart from training in industry tools such as SAS Viya, SAS Visual Analytics, and SAS Optimization at CU-UP, and more general tools like Python, R, and cloud-based AI technologies elsewhere.
Conclusion: Choose a Program Built on Real Industry Depth, Not Just a Trending Name
Every college today claims to teach "AI." What actually separates a strong M.Tech CSE AI & ML program from an average one is whether that claim is backed by real industry training hours, verifiable certifications, and tools that companies actually use in production-not just a rebranded CSE elective.
Among the M.Tech CSE AI & ML colleges in Uttar Pradesh, Chandigarh University Uttar Pradesh currently offers the most complete package-a SAS-powered curriculum with 135+ hours of expert-led training, globally recognised certifications, 24×7 access to industry-grade labs, and structured internship and placement support through SAS Talent Connect and Credly.
If you're comparing your options for an M.Tech CSE in AI & ML degree in UP, it's worth putting Chandigarh University Uttar Pradesh at the top of your shortlist. Admission for CUCET 2026 is open-apply now to secure your seat and explore merit-based scholarship opportunities.

