
Advanced AI and Machine Learning
Study Artificial Intelligence, Machine Learning, Deep Learning, NLP and Computer Vision alongside algorithms, cloud computing and big data to understand intelligent systems and their applications.


In collaboration with SAS

In collaboration with SAS
MCA AI & ML

Artificial Intelligence and Machine Learning enable software to recognize patterns, generate predictions and address complex computational problems. Organizations apply these technologies to analyze large datasets, automate processes & develop intelligent products, requiring professionals who understand both computing fundamentals and model development. As AI applications become more specialized, expertise in deep learning, language processing, computer vision and data infrastructure becomes increasingly relevant. Chandigarh University, Uttar Pradesh, offers a two-year MCA in Artificial Intelligence & Machine Learning, a specialized postgraduate program connecting advanced computing with applied AI. The program integrates SAS collaboration with learning in machine learning, deep learning, NLP, computer vision, data analytics, cloud computing and big data. Python-based learning, advanced ML frameworks and practical projects connect these concepts with technical and business applications.
AI adoption is expanding across business operations, software products and data-intensive industries, increasing the need for expertise in developing and applying intelligent systems. According to Microsoft AI Economy Institute research, 18.8% of the global working-age population used generative AI tools in Q2 2026, up from 17.8% in Q1 2026, reflecting the growing integration of AI into everyday work. The MCA in Artificial Intelligence & Machine Learning at Chandigarh University, Uttar Pradesh, develops relevant capabilities in model development, data science, NLP, computer vision and intelligent automation. These skills have applications across technology, BFSI, healthcare, manufacturing, e-commerce and research, supporting pathways into specialized technical roles and further academic study.

Study Artificial Intelligence, Machine Learning, Deep Learning, NLP and Computer Vision alongside algorithms, cloud computing and big data to understand intelligent systems and their applications.

Use Python and advanced machine-learning frameworks to explore model development, evaluation and application through projects addressing technical and business problems.

Explore the stated SAS collaboration and industry exposure to understand how academic concepts relate to practical AI and analytics applications.

Work on real-world AI/ML projects and capstone applications involving areas such as automation, robotics and predictive analytics, as specified in the program information.

Explore research-oriented learning, experimentation and AI innovation, with opportunities described in the program information for publications, patents and advanced technical development.

Examine how AI-enabled products and services can be developed, with entrepreneurial guidance supporting exploration of technology ventures and startup ideas.

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 that recruit at Chandigarh University, Uttar Pradesh.















































































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 |
|---|---|---|---|---|---|
| Artificial Intelligence | 3 | 0 | 1 | 4 | 5 |
| Python Programming | 3 | 0 | 2 | 5 | 7 |
| Advance Database Management System | 3 | 0 | 2 | 5 | 7 |
| Forecasting Using Model Studio | 2 | 0 | 1 | 3 | 4 |
| Block chain and Its Application | 3 | 0 | 0 | 3 | 3 |
| Total | 14 | 0 | 6 | 20 | 26 |
L lecture · T tutorial · P practical · C credits · CH contact hours
| Course | L | T | P | C | CH |
|---|---|---|---|---|---|
| Machine Learning | 3 | 0 | 1 | 4 | 5 |
| Optimization for Data Science and Artificial Intelligence | 2 | 0 | 1 | 3 | 4 |
| Design & Analysis of Algorithm using C++ | 3 | 0 | 2 | 5 | 7 |
| Program Elective -1 | 3 | 0 | 2 | 5 | 7 |
| Soft Skills | 0 | 0 | 2 | 2 | 4 |
| Aptitude-1 | 4 | 0 | 0 | 4 | 4 |
| Total | 15 | 0 | 8 | 23 | 31 |
L lecture · T tutorial · P practical · C credits · CH contact hours
A candidate shall have passed the qualifying examination of B.C.A./ B.Sc. (Computer Science)/ B.Sc. (IT) / B.E. (CSE)/ B.Tech.(CSE) / B.E. (IT) / B.Tech. (IT) at Graduation level with 55% aggregate
| Program Fee | Amount (per semester) | Duration |
|---|---|---|
| Semester Fee (For Indian Students) | 92000/- INR | 2.0 Years |
| SAARC Fee | — | |
| International Fee | — |
| Parameters | CUCET Scholarship Amount | Amount to pay after CUCET Scholarship |
|---|---|---|
| 90.01 – 100 | 92000 /- INR | NIL |
| 80 – 90 | 46000 /- INR | 46000 /- INR |
| 70 – 79.99 | 36800 /- INR | 55200 /- INR |
| 60 – 69.99 | 27600 /- INR | 64400 /- INR |
| 50 – 59.99 | 23000 /- INR | 69000 /- INR |
| 40 – 49.99 | 13800 /- INR | 78200 /- INR |
| Parameters | CUCET Scholarship Amount | Amount to pay after CUCET Scholarship |
|---|---|---|
| 90.01 – 100 | 92000 /- INR | NIL |
| 80 – 90.00 | 36800 /- INR | 55200 /- INR |
| 70 – 79.99 | 27600 /- INR | 64400 /- INR |
| 60 – 69.99 | 18400 /- INR | 73600 /- INR |
| 50 – 59.99 | 13800 /- INR | 78200 /- INR |
| 40 – 49.99 | 9200 /- INR | 82800 /- 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.
Milestones and projects across Chandigarh University, Uttar Pradesh — open to students of every school.

01 — 7 January 2026
International cricketer Kuldeep Yadav enrolled as a student and launched the CU Sports Scholarship, reinforcing the integration of academic excellence and sports development at Chandigarh University Uttar Pradesh.
Read the full story
02 — 9 January
India AI Convergence 2026 united AI leaders for a pre-event to the India AI Impact Summit, where Satnam Singh Sandhu, Honorable Chancellor, announced two transformative initiatives- AI for All and Quantum for Bharat.
Read the full story
03 — 02 November 2025
Chandigarh University, Uttar Pradesh launched Campus Tank Uttar Pradesh under the leadership of Shri Nand Gopal Gupta ‘Nandi’ Ji, empowering young innovators with funding, mentorship, and incubation support.
Read the full story
Software systems underpin essential operations across industries, from enterprise applications and digital services to data management and cloud infrastructure. Organizations require computing professionals who can design reliable applications, solve technical problems and maintain complex information systems. As businesses adopt cloud platforms, artificial intelligence and data-driven technologies, computing expertise increasingly extends beyond conventional programming. Chandigarh University, Uttar Pradesh, offers a two-year Master of Computer Applications (MCA) to develop advanced knowledge of computer applications and contemporary computing practices. The program combines programming, algorithms, databases and software engineering with exposure to Artificial Intelligence, Cloud Computing, Data Science and Cybersecurity. Through practical training, projects, mentoring and real-world problem-solving, students strengthen their ability to develop software solutions and address complex technical requirements.

MCA in Data Science is a two-year postgraduate course built for students who want deep, practical knowledge of computer applications, statistical modelling, and the kind of problem-solving that data science actually demands. At Chandigarh University Lucknow UP, the course covers data mining, big data analytics, artificial intelligence, machine learning, cloud computing, data visualisation & more, not as separate boxes to tick, but as skills that connect to real industry work. Students get exclusive with real-world projects and internships, working directly with tools like Python, R, SQL, Hadoop, and TensorFlow. That's what makes this CU UP a genuine contender for the best MCA Data Science college in UP, the learning doesn't stay stuck in textbooks.
Choosing Chandigarh University Uttar Pradesh provides students access to an NEP-2020-aligned, career-centric education powered by an AI-augmented learning ecosystem and a smart Learning Management System (LMS). The best part is that it is "India’s first AI-augmented multidisciplinary university" and places an active focus on exclusive experiential learning through live projects, simulation labs, corporate internships, and global academic partnerships. Students also gain access to merit scholarships of up to 100% via CUCET, worth 75 Cr, specialized sports scholarships, and strong recruiter networks.
Yes, Chandigarh University Uttar Pradesh is a fully recognized and accredited university established under the Uttar Pradesh State Legislature and recognized by the University Grants Commission (UGC). The best part for its learners is that most of the professional and technical programs offered here adhere to the regulatory frameworks and approvals of statutory bodies, including the Bar Council of India (BCI) for legal studies, the Pharmacy Council of India (PCI) for pharmaceutical programs & Council of Architecture (COA) for Architecture. Moreover, the university is also a member of the Association of Indian Universities (AIU).
Chandigarh University Uttar Pradesh offers multidisciplinary undergraduate, postgraduate, lateral, and doctoral programs across major disciplines like Engineering, Computer Science & Engineering, Computing, Business, Commerce & 9 more, which are Basic & Applied Sciences, Liberal Arts & Behavioural Sciences, Legal Studies, Pharmacy, Media Studies, Design, Hospitality, Architecture & Planning, Travel & Tourism. The most notable part is that its curriculum integrates AI, Machine Learning, Analytics & more.
Yes, Chandigarh University, Uttar Pradesh, is an AI-augmented multidisciplinary university, as it is designed from the ground up as India’s first AI-augmented multidisciplinary campus. Can’t be denied that artificial intelligence is deeply woven across the academic curriculum with tech-enabled pedagogy, research domains, and campus administrative workflows. From AI-enabled smart classrooms and automated adaptive learning to specialized AI and analytics laboratories, students across all disciplines learn to gain digital & AI fluency and practical exposure to modern tech tools. Moreover, students studying at CU-UP also use a smart LMS and Advanced labs and Centres of Excellence. In 2026, CU also received the “AI-First Organization" award at the Republic AI Summit & Awards.
CU-UP, home to a futuristic & AI-Augmented campus, provides facilities like ultra-modern smart classrooms, high-end computing facilities, advanced labs, SAS labs, and dedicated research zones. All of this also helps students learn efficiently & not forget about the Data Science Lab, FinTech Lab, Modern Moot Court Hall, simulated Aviation and Tourism labs & more. Students pursuing education at CU-UP also benefit from an extensive digital library, startup incubation centers like CUBE & TBI, modern sports arenas, dynamic cafeterias, and comprehensive on-campus student housing.
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.