In an era defined by artificial intelligence, machine learning, and data-driven innovation, the demand for skilled graduates in these domains has never been higher. Students seeking a future-ready undergraduate education are increasingly turning to Maharishi Markandeshwar (Deemed to be University), Mullana (MM(DU)) for its emerging strength in B.Sc. AI & ML education. Here’s why MMDU stands out and how students are transforming opportunity into impact.
1. Cutting‑Edge Curriculum Aligned with Industry
The university’s B.Sc. in AI & ML is crafted to keep pace with rapid technological evolution. The program blends foundational subjects like Python, statistics, data structures and machine learning with specialized modules in deep learning, NLP, computer vision and generative AI. Students also learn to deploy models using tools like TensorFlow, PyTorchand Streamlit, often supported by cloud‑based virtual labs.
Regular workshop such as “Build with AI” by Google Developer Groups (GDG) hosted on campus allow participants to build real-world AI applications and earn skill badges via cloud-based labs. These immersive experiences help students deepen practical understanding beyond textbooks.
2. Project-Driven Learning and Portfolio Building
MMDU students are encouraged to work on real-world AI/ML projects early in the program. These may include:
- Chatbots with intent detection,
- Image classification models,
- Predictive analytics using public datasets,
- Cloud‑deployed AI tools using Streamlit or Flask.
This hands-on approach helps students build professional portfolios that showcase expertise. As reflected in general placement success at MM(DU) with 80–90% placement in computing disciplines and top offers up to ₹43 LPA for CSE student; the emphasis on applied learning translates into strong employability
3. Active Engagement in AI Communities & Events
Tech-savvy students at MM(DU) often gain exposure and build networks through campus-led innovation events. The GDG “Build with AI” workshop in October 2024 invited students to work on cloud AI tools and earn badges offering both skill and community recognition. While specific stories about B.Sc. AI & ML graduates are still emerging, other student success stories from MM(DU) illustrate how academic support and campus culture fuel outcomes. For example, Alina Prasai, a BCA student from Nepal, describes how MMDU’s practical focus and supportive faculty helped her grow confidence, communication skills and leadership through extracurricular success… an approach that AI & ML students mirror through technical clubs and project presentations
4. Career Outcomes & Placement Support
The Placement Cell at MM(DU) plays a critical role in preparing AI & ML students for careers. It offers tailored support in Resume workshops,Technical mock interviews,Group discussions and aptitude training,Live projects and internship opportunities with industry partners. The success of this is visible in stats like –
- Over 1,500 on-campus placements annually,
- Highest CTC around ₹42 LPA,
- Average package in technical programs ranging ₹5 LPA,
- Recruiters such as Infosys, IBM, Wipro, Microsoft, Deloitte, PayPal and JP Morgan
AI & ML students benefit from this ecosystem, with projects and internship-ready portfolios aligning closely with industry expectations.
5. Student Success Examples
Since detailed alumni reports specifically naming AI & ML graduates are limited, we highlight the strong pattern of success across related disciplines; indicative of the potential trajectory for B.Sc. AI & ML students.
- CSE students at MMDU consistently achieve placement rates of 80–90%, with the average package at ₹5 LPA and top offers exceeding ₹43 LPA.
- Two B.Tech students recently secured offers of ₹42 LPA (ServiceNow) and ₹34 LPA (Commvault) thanks to project work and strong guidance from faculty and the Placement Cell
These examples reflect the university’s capacity to support technically skilled students moving into high-demand roles.
6. What Drives Tech‑Savvy Students to MM(DU)?
Here’s a breakdown that resonates with emerging AI & ML talent:
Factor Why It Matters
Modern Curriculum Courses aligned with Python, ML, deep learning, GenAI
Hands‑on Projects Portfolio-ready projects using real datasets and tools
Industry Exposure Workshops like GDG Build with AI, hackathons, guest talks
Placement Framework Training, internships, recruiter network, mock labs
High Placement Record Demonstrated success in CSE/B.Tech roles translates cross-discipline
Tips for Prospective AI & ML Students
To maximize what MMDU offers:
- Start early on Python and DSA fundamentals along with foundational mathematics and statistics.
- Leverage virtual labs and project-based courses; create AI applications you can showcase.
- Take part in AI workshops, competitions and clubs; they add experience and visibility.
- Seek internships from Year 2 onward, even unpaid or off‑campus roles help build practical skills (a key pathway to offers as seen in broader AI/ML engineering circles)
- Stay disciplined in soft skills, technical interview prep, and portfolio documentation.
Tech-savvy students are increasingly choosing MMDU’s B.Sc. in AI & ML for its progressive curriculum, practical learning model, strong placement support, and community of innovation. The program emphasizes skills that matter – Python programming, deep learning, cloud integration, and real-world project work while the Placement Cell and industry engagement ensure pathways to employment.
With workshops like Build with AI and success across related technical fields, the environment supports motivated learners to exceed expectations. For ambitious students aiming to break into AI, MM (DU) offers a credible launch pad blending technical training with holistic development. Visit this link for more details about the program and eligibility criteria.
