Artificial Intelligence is becoming an important area within computer science, creating new choices for students planning B.Tech after Class 12. At IIMT University Greater Noida Campus, one such option is our BTech CSE IIT Mandi collaboration, currently listed as B.Tech Computer Science & Engineering (AI) (IIT Mandi).
The programme combines Computer Science and Engineering with structured Artificial Intelligence learning. Under the current collaborative arrangement, students have the opportunity to pursue a Minor Degree in Artificial Intelligence from IIT Mandi, with 15–30 additional credits alongside the core programme.
For students and parents, the value of this pathway lies in understanding what the AI minor adds to the B.Tech experience, how it differs from Core CSE and CSE AI & ML, and whether its curriculum matches the student’s long-term interests.
At IIMT University Greater Noida Campus, the B.Tech CSE (AI) IIT Mandi programme is a four-year engineering pathway that combines CSE foundations with additional AI-focused academic exposure.
According to the current programme structure, the AI minor comprises 15–30 credits in addition to the core programme, with learning delivered in a hybrid online and offline mode. The current programme page describes the certification as being issued by IIMT University with IIT Mandi credit integration.
This terminology matters. Students should understand the programme according to its officially stated academic structure rather than treating “collaboration”, “minor” and “joint B.Tech degree” as interchangeable terms.
The programme is designed for students who want a computer science foundation while beginning structured AI study during their undergraduate education.
Artificial Intelligence depends on strong computer science fundamentals. Students need programming, mathematics, algorithms, data structures and computational problem-solving before moving deeper into machine learning and other AI areas.
An AI minor creates a structured way to add specialised study alongside the core B.Tech pathway.
Our current programme page also highlights academic engagement with IIT Mandi faculty as part of the programme experience. For students genuinely interested in AI, this can provide an additional academic dimension beyond a conventional Core CSE route.
The value of the minor should therefore be considered in terms of additional learning and specialization, rather than as a shortcut to a particular job or salary.
Read more: Explore the B.Tech CSE with AI Minor from IIT Mandi
Core CSE provides broad computer science education, while the IIT Mandi-linked pathway adds structured AI learning to a CSE foundation.
| Factor | Core CSE | CSE with AI Minor |
| Duration at IIMT | 4 years | 4 years |
| Main foundation | Computer Science Engineering | Computer Science Engineering + AI |
| Programming | Core area | Core area |
| Algorithms and data structures | Important | Important |
| AI focus | Part of broader CS exposure | Structured additional focus |
| Minor | No IIT Mandi AI minor | AI minor component |
| Current annual programme fee | ₹1,68,800 | ₹1,83,800 |
| Suitable for | Students seeking broad CSE | Students seeking CSE + structured AI exposure |
Students who have not yet chosen a specialization may prefer the flexibility of our Core B.Tech CSE programme. Those already interested in AI, mathematics, data and intelligent systems can consider the AI-focused pathway.
IIMT University Greater Noida Campus currently lists B.Tech CSE (AI & ML) and B.Tech CSE (AI) (IIT Mandi) as separate programmes.
The AI & ML programme is structured as a CSE specialization in Artificial Intelligence and Machine Learning. The IIT Mandi-linked programme is distinguished by the additional AI minor structure described on its current programme page.
Both currently have a four-year duration, 60% PCM eligibility and an annual programme fee of ₹1,83,800.
Students should therefore compare the academic structure, not just the words “AI” and “ML” in the programme titles. The IIT Mandi-linked option may appeal particularly to students who value the additional minor structure, while the B.Tech CSE AI & ML programme provides a dedicated AI/ML specialization within CSE.
Computer science remains central to an AI-focused engineering education.
Students need to develop capabilities in programming, data structures, algorithms, databases, operating systems, computer networks, software engineering and mathematical problem-solving. These areas support both general software development and more specialised AI learning.
The AI component builds on these foundations. Depending on the defined academic modules, AI-focused learning can develop understanding of intelligent systems, machine learning, data-driven computing and related concepts.
Mathematics is particularly important. Probability, statistics, linear algebra and other quantitative areas can support deeper understanding of machine-learning methods.
Students should also distinguish between using AI applications and understanding AI engineering. Effective AI learning requires students to understand programming, data, algorithms, model behavior, and evaluation rather than simply becoming users of AI tools.
The current admission criteria for B.Tech CSE (AI) in collaboration with IIT Mandi require 10+2 or equivalent from a recognised board with Physics, Mathematics and Chemistry as compulsory subjects and a minimum 60% in PCM. The published admission criteria specify 40% for SC/ST candidates.
The programme duration is four years.
Students should use the current admission criteria when applying because eligibility requirements can change between admission sessions.
They should also review any academic requirements associated specifically with completing the AI minor rather than assuming that admission to the B.Tech automatically determines every condition of the additional minor component.
The current annual programme fee is ₹1,83,800.
| Fee Component | Current Annual Amount |
| Tuition Fee | ₹1,50,000 |
| Administrative Charges | ₹33,800 |
| Annual Programme Fee | ₹1,83,800 |
Students and parents should consider the complete four-year financial commitment along with personal expenses such as accommodation, transport, and computing requirements where applicable.
Because programme fees can be revised, families should check our current fee structure before completing admission.
The main BTech collaboration program benefits should be evaluated academically.
For this programme, the current structure provides students with a CSE pathway plus structured AI learning through the minor component. It also identifies academic engagement with IIT Mandi faculty and a hybrid learning format.
For students interested in AI, this can support earlier exploration of specialised concepts while they continue developing broader computer science skills.
Another benefit is career exploration. Exposure to AI during undergraduate study can help students determine whether they eventually want to focus on machine learning, data-oriented computing, AI applications, general software engineering or postgraduate study.
However, collaboration should not be treated as a placement guarantee. Its value ultimately depends on how effectively students use the academic exposure to develop knowledge, projects and practical technical skills.
Students completing an AI-focused CSE pathway can explore both general computing and AI-oriented opportunities, depending on employer eligibility and their skills.
Software development remains relevant because programming, algorithms, databases and software engineering form important computer science foundations.
Students who develop stronger AI, mathematics, statistics and data skills can also work towards machine-learning, AI application and data-oriented career pathways.
Some specialised AI positions can require deeper technical expertise, relevant experience or postgraduate study. Students should therefore view the undergraduate programme as a foundation rather than a guarantee of becoming an AI engineer immediately after graduation.
Projects, internships, programming ability and technical interview preparation remain important regardless of the programme title.
No academic minor or collaboration can guarantee placement.
Recruiters can consider academic performance, programming ability, data structures and algorithms, projects, internships, aptitude, communication and role-specific skills. Employers also establish their own branch and qualification requirements.
The AI minor can add specialised academic exposure to a student’s profile, but students still need to demonstrate what they have learned.
A useful approach is to convert academic learning into projects. AI-focused students can work on problems involving data analysis, prediction, classification, recommendation systems, natural language processing, computer vision or other relevant areas depending on their skills and curriculum.
Strong projects should explain the problem, methodology, data, evaluation and the student’s actual contribution rather than simply using an existing AI service.
Yes. Choosing an AI-focused CSE pathway does not mean students must work only in artificial intelligence.
Students who maintain strong programming, algorithms, data structures, databases, operating systems, networks and software-engineering fundamentals can prepare for eligible general software roles as well.
This flexibility is important because technology interests can change during four years of undergraduate study.
A student may enter the programme interested in machine learning and later discover a stronger interest in software development, cloud technologies or another computing area.
The computer science foundation helps preserve broader career possibilities, while the AI minor provides an additional area of structured learning.
The programme brings together a four-year CSE pathway at IIMT University Greater Noida Campus with the currently defined AI minor structure associated with IIT Mandi.
For students in Greater Noida and Delhi NCR who want computer science engineering with additional AI exposure, it provides an option beyond Core CSE and our dedicated AI & ML specialization.
Students should choose it when the academic structure matches their interests—not simply because an IIT name appears in the programme title.
Before admission, understand the core B.Tech curriculum, AI minor credits, delivery model, assessment requirements, current fees and career direction. Students can also review other Computer Science Engineering pathways at IIMT University Greater Noida to make an informed comparison.
The BTech CSE IIT Mandi collaboration at IIMT University Greater Noida Campus combines computer science engineering with structured AI learning through a Minor Degree in Artificial Intelligence.
The current programme structure specifies 15–30 additional minor credits, hybrid delivery and IIT Mandi credit integration. For students genuinely interested in programming, mathematics and AI, this provides a specialised pathway alongside core computer science learning. Compare the programme structure, fees and your long-term interests before choosing it.