In collaboration with SAS
In collaboration with SAS
M.Tech CSE AI & ML
Chandigarh University, Uttar Pradesh offers a two-year M.Tech program in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning, developed in collaboration with SAS, a globally established leader in analytics and enterprise AI. The program brings SAS’s industry-oriented analytics perspective into advanced study of machine learning, deep learning, optimization, applied statistics and research methodology, while retaining the flexibility of the Python-based AI ecosystem. This blend of enterprise analytics and advanced AI creates a strong foundation for specialized technical work, further strengthened by a dedicated research project or dissertation in the second year.
As artificial intelligence moves from experimentation into increasingly advanced applications, the global AI market is projected to reach USD 3.5 trillion by 2030, creating strong demand for professionals with advanced expertise in AI and machine learning. With SAS adding an enterprise analytics perspective, the program opens pathways into specialized roles such as Senior Data Scientist, ML Researcher, AI Architect and Analytics Consultant, particularly across banking, insurance, and healthcare, where analytics and risk modelling are integral to decision-making. The program also provides a solid foundation for doctoral research and advanced careers in AI-driven industries.
The program provides preparation for SAS certification pathways, including: 1- SAS Certified Specialist: Base Programming Using SAS 9.4 2- SAS Certified AI and Machine Learning Professional Additional exposure to professional certification pathways such as TensorFlow Developer and Azure AI Engineer Associate complements the postgraduate curriculum with industry-oriented credentials.
Earn globally recognised SAS certifications and digital badges that strengthen technical expertise and professional credibility.
135+ hours of classroom training from experienced SAS industry professionals, plus 200+ hours of self-paced learning on the SAS Learning Portal.
Work on real-world datasets using enterprise-grade tools, with 24x7 access to advanced analytics laboratories.
Internship opportunities through SAS Talent Connect and placement support via Credly certification recognition.
Gain proficiency in AI fundamentals and domain-specific advanced modules while engaging in multidisciplinary education across disciplines of engineering, management, sciences, law, tourism and humanities, preparing for an AI-driven workforce.
Get expert AI guidance from top professionals at leading tech companies like Google, Microsoft, IBM, TCS and more, empowering you with the skills and knowledge to excel in the tech-driven future.
Leverage advanced technologies at industry-collaborated Centres of Excellence to undertake groundbreaking research projects in diverse domains, like blockchain, cryptography, neurotechnology, genetic engineering, and more.
Ignite your entrepreneurial spirit with our tech-powered incubation ecosystem and makerspace, where creativity and collaboration turn ideas into successful ventures.
Tap into an extensive network of 1300+ recruiters and land your dream job with the world's leading companies like Microsoft, Google, Amazon, Walmart, Intel, Flipkart, IBM, Wipro, PwC, EY, Deloitte, ITC, Reliance Industries, Bank of America, Taj Hotels, Cipla, among others.
Gain proficiency in AI fundamentals and domain-specific advanced modules while engaging in multidisciplinary education across disciplines of engineering, management, sciences, law, tourism and humanities, preparing for an AI-driven workforce.
Get expert AI guidance from top professionals at leading tech companies like Google, Microsoft, IBM, TCS and more, empowering you with the skills and knowledge to excel in the tech-driven future.
Leverage advanced technologies at industry-collaborated Centres of Excellence to undertake groundbreaking research projects in diverse domains, like blockchain, cryptography, neurotechnology, genetic engineering, and more.
Ignite your entrepreneurial spirit with our tech-powered incubation ecosystem and makerspace, where creativity and collaboration turn ideas into successful ventures.
Tap into an extensive network of 1300+ recruiters and land your dream job with the world's leading companies like Microsoft, Google, Amazon, Walmart, Intel, Flipkart, IBM, Wipro, PwC, EY, Deloitte, ITC, Reliance Industries, Bank of America, Taj Hotels, Cipla, among others.
Gain proficiency in AI fundamentals and domain-specific advanced modules while engaging in multidisciplinary education across disciplines of engineering, management, sciences, law, tourism and humanities, preparing for an AI-driven workforce.
Get expert AI guidance from top professionals at leading tech companies like Google, Microsoft, IBM, TCS and more, empowering you with the skills and knowledge to excel in the tech-driven future.
Leverage advanced technologies at industry-collaborated Centres of Excellence to undertake groundbreaking research projects in diverse domains, like blockchain, cryptography, neurotechnology, genetic engineering, and more.
Ignite your entrepreneurial spirit with our tech-powered incubation ecosystem and makerspace, where creativity and collaboration turn ideas into successful ventures.
Tap into an extensive network of 1300+ recruiters and land your dream job with the world's leading companies like Microsoft, Google, Amazon, Walmart, Intel, Flipkart, IBM, Wipro, PwC, EY, Deloitte, ITC, Reliance Industries, Bank of America, Taj Hotels, Cipla, among others.
Companies named as top recruiters for this programme.
Engineering has always been about turning an idea into something that works. That could be a bridge, a machine, an electronic system, a manufacturing process, or a technology that solves an everyday problem.
At the School of Engineering, our focus is to give students the opportunity to experience this process themselves. We want students to spend time in laboratories, work on projects, understand how things work, interact with industry, and learn from practical experience—not just prepare for examinations.
I also believe that an engineering degree should help students become independent thinkers. There will be problems for which there is no ready-made answer. Learning how to approach such problems with patience, creativity, and confidence is an important part of becoming an engineer.
Our faculty will work closely with students to develop their technical abilities while also encouraging teamwork, communication and professional responsibility. My message to our students is simple: stay curious, keep experimenting, and never be afraid to ask why.
Engineering has always been about turning an idea into something that works. That could be a bridge, a machine, an electronic system, a manufacturing process, or a technology that solves an everyday problem.
At the School of Engineering, our focus is to give students the opportunity to experience this process themselves. We want students to spend time in laboratories, work on projects, understand how things work, interact with industry, and learn from practical experience—not just prepare for examinations.
I also believe that an engineering degree should help students become independent thinkers. There will be problems for which there is no ready-made answer. Learning how to approach such problems with patience, creativity, and confidence is an important part of becoming an engineer.
Our faculty will work closely with students to develop their technical abilities while also encouraging teamwork, communication and professional responsibility. My message to our students is simple: stay curious, keep experimenting, and never be afraid to ask why.
| Course | L | T | P | C | CH |
|---|---|---|---|---|---|
| Advanced Data Structures and Algorithms | 3 | 1 | 1 | 5 | 6 |
| Computational Intelligence | 3 | 1 | 0 | 4 | 4 |
| Machine Learning Algorithms | 3 | 0 | 1 | 4 | 5 |
| Applied Statistics and Probability | 3 | 0 | 0 | 3 | 3 |
| Image and Video Analytics | 3 | 0 | 1 | 4 | 5 |
| Forecasting Using Model Studio (SAS) | 2 | 0 | 1 | 3 | 4 |
| Total | 17 | 2 | 4 | 23 | 27 |
L lecture · T tutorial · P practical · C credits · CH contact hours
| Course | L | T | P | C | CH |
|---|---|---|---|---|---|
| Deep Learning | 3 | 0 | 1 | 4 | 5 |
| Optimization for Data Science & AI (SAS) | 3 | 0 | 0 | 3 | 3 |
| Reinforcement Learning | 3 | 0 | 0 | 3 | 3 |
| Program Elective I | 3 | 0 | 0 | 3 | 3 |
| Program Elective II | 3 | 0 | 0 | 3 | 3 |
| Project-I | 0 | 0 | 1 | 1 | 2 |
| TPP: Soft Skill | 0 | 0 | 2 | 2 | 4 |
| TPP: Aptitude | 0 | 4 | 0 | 4 | 4 |
| NTPP: Fundamentals of IOT | 3 | 1 | 0 | 4 | 4 |
| NTPP: Seminar II | 0 | 2 | 0 | 2 | 2 |
| Total | 18 | 7 | 4 | 29 | 33 |
L lecture · T tutorial · P practical · C credits · CH contact hours
Passed B.E./ B.Tech. in CSE/ IT/ ECE/ CS or equivalent with atleast 55% marks or M.Sc (CS/IT/CSE) / MS (CS/IT/CSE) / MCA or equivalent with atleast 55% marks in the qualifying examination.
| Program Fee | Amount (per semester) | Duration |
|---|---|---|
| Semester Fee (For Indian Students) | 66000/- INR | 2 Years (4 Semesters) |
| SAARC Fee | — | |
| International Fee | — |
| Parameters | CUCET Scholarship Amount | Amount to pay after CUCET Scholarship |
|---|---|---|
| 90.01 – 100 | 66000 /- INR | NIL |
| 80 – 90 | 33000 /- INR | 33000 /- INR |
| 70 – 79.99 | 26400 /- INR | 39600 /- INR |
| 60 – 69.99 | 19800 /- INR | 46200 /- INR |
| 50 – 59.99 | 16500 /- INR | 49500 /- INR |
| 40 – 49.99 | 9900 /- INR | 56100 /- INR |
From choosing a direction to signing an offer, Chandigarh University’s career services work with you at every step of the job search.
Faculty mentors help you choose a direction, from your specialisation to the first role you aim for.
Support through every campus drive: eligibility, applications, assessments and offers.
Guest sessions and time with recruiters and practitioners, so you know what the work asks for.
Build, review and sharpen a resume and profile aimed at the roles you want.
Mock interviews and group discussions with feedback, before the real ones.
One-to-one conversations about your plans, your options and your next step.
Graduates can pursue high-demand roles such as:
Helps clients use their data to make better decisions, from framing the business question to building the analysis and presenting the recommendation.
Defines and leads AI-powered products, working with data scientists, engineers and users to decide what to build and how to measure its success.
Milestones and projects across Chandigarh University, Uttar Pradesh — open to students of every school.
01 — 09 September 2026
CU Hostel League brought students together to showcase diverse talents, compete, perform, and cheer for one another, creating an energetic platform for confidence, creativity, camaraderie, and memorable experiences.
02 — 05 September 2026
The hands-on ESP32 and Sensor Interfacing session introduced students to microcontrollers, sensors, and real-time applications, encouraging interdisciplinary learning, experimentation, and practical problem-solving through technology-driven engineering activities.
03 — 8 May 2026
One blood donation can save lives. On World Red Cross Day, Chandigarh University Uttar Pradesh, with the Indian Red Cross Society, organized a Blood Donation Camp promoting humanity, compassion, service, and collective social responsibility.
04 — 7 March 2026
The Department of ECE, School of Engineering at Chandigarh University, Uttar Pradesh organised a session by Mr. Dhawal Dwivedi from GeeksforGeeks, introducing students to prompt engineering and the evolving role of AI agents.
Chandigarh University, Uttar Pradesh, offers an M.Tech. in Computer Science and Engineering (Data Science) for postgraduate students seeking to advance their command of intelligent computing and analytical methods. The program explores artificial intelligence, machine learning and statistical modelling alongside big data analytics, data mining and predictive modelling, building the depth required to examine complex computational problems. Through research projects, advanced laboratory work and practical applications, students learn to develop and evaluate analytical models, interpret intricate datasets and derive insights with scientific rigour, preparing for specialized careers in data science, AI and advanced analytics.
Chandigarh University, Uttar Pradesh offers a four-year B.Tech. program in Civil Engineering that combines core engineering principles with programming, digital tools and computational methods. The curriculum covers structural engineering, fluid mechanics, geoinformatics and construction management, alongside sustainable building practices and smart city planning. Practical learning strengthens this foundation through advanced laboratories, live site visits, technical workshops, capstone projects, summer internships and industry-based training. Together, these experiences connect engineering theory with its application across real infrastructure and construction projects, while developing the technical and analytical understanding required to work across structural, transportation, construction, environmental and other allied areas of civil engineering.
The B.Tech. in Computer Science and Engineering at Chandigarh University, Uttar Pradesh, is a four-year program designed around the fundamentals that support modern computing, from programming, data structures and algorithms to databases, operating systems, software engineering, and computer networks. Alongside this core foundation, the curriculum introduces emerging areas including Artificial Intelligence, Data Science, Cyber Security and Cloud Computing, providing a broader understanding of the technologies shaping the sector. Structured coding labs, internships, hackathons, and project-based assessments provide opportunities to translate classroom concepts into working applications, while electives in areas such as full-stack development, DevOps and cloud computing keep the program aligned with evolving industry requirements. The learning journey culminates in a final-year capstone that brings together knowledge developed across the program, strengthening technical proficiency and practical judgement.
The campus is located in Unnao, Uttar Pradesh.
You can reach us at 9646001333 or email us at admissions@culko.in.
Application deadlines vary by program. Please refer to the specific program page for detailed information.
Register for CUCET by providing your basic details — name, email, mobile number, state and gender.
You receive a confirmation on your registered number and email. Log in with those credentials and complete the eligibility and scholarship test application.
On clearing CUCET, submit your admission application. Merit-based scholarship is assessed automatically from your result.
