The collaboration offers industry exposure, mentorship from professionals, real-world projects, internship opportunities, and specialized training to ensure students are job-ready for roles in iOS development, ML, and AR.
Graduates can pursue careers as iOS app developers, ML engineers, AR developers, AI-driven application architects, or software engineers in industries like mobile technology, gaming, healthcare, and e-commerce.
While prior programming knowledge is helpful, it is not mandatory. The program covers fundamental programming concepts before advancing to specialized topics in iOS, ML, and AR development.
Delivering quality education with a legacy of three decades.
A strong, supportive alumni community spread across the globe.
Partnering with renowned global institutions for a holistic education experience.
Connecting students with leading employers for rewarding careers.
Eco-friendly campuses situated in prime, accessible locations.
Recognising and rewarding academic excellence with financial support.
Learn from experts with rich academic and industry experience.
Experience an engaging and dynamic environment both inside and outside the classroom.
A curriculum designed to meet global standards of education and practice.
Provide students with comprehensive knowledge of algorithms, neural networks, and data-driven decision-making using IBM’s specialised tools and frameworks.
Enable students to solve real-world problems through hands-on training, projects, and IBM-certified resources.
Encourage students to develop innovative AI-ML solutions for challenges in various industries such as healthcare, finance, and automation.
Equip graduates for roles as AI engineers, data scientists, and machine learning specialists with strong industry readiness.
Candidates must have passed a 10+2 level examination or its equivalent from a recognised board/university.
Training
The School focuses on holistic student development through technical training and soft skills enhancement. Expert guidance is provided for career planning, aptitude building, and placement preparation, including GDs, PIs, and mock interviews.
Internships
Internships integrated into the NEP-compliant curriculum offer industry exposure, fostering professional growth, character development, and real-world readiness.
Placements
A dedicated Placement Cell connects students with top career opportunities, ensuring they stay updated with industry trends and succeed in their professional journey.
NEP-Compliant Framework: Designed as per National Education Policy guidelines, ensuring academic excellence and holistic development.
Core Competency: Focus on essential skills in computer science to prepare students for industry demands.
Interdisciplinary Learning: Combines computer science with fields like AI, Cybersecurity, Blockchain, Cloud Computing, and IoT.
Flexible Curriculum: Choice-based learning allows students to select courses based on their interests and career goals.
Practical Learning: Includes projects, internships, and hands-on activities to develop critical thinking and problem-solving skills.
Research Opportunities: Encourages innovation and contributions to advancements in technology.
Industry Collaboration: Partnerships with leading companies provide real-world exposure and training.
Discover the exciting and in-demand career opportunities available to IILM Computer Science graduates:
Software Developer/Engineer: Design, develop, and maintain software applications, excelling in front-end, back-end, or full-stack development.
Web Developer: Create innovative websites and web applications, specialising in front-end, back-end, or cross-platform development.
Database Administrator (DBA): Manage, optimise, and secure organisational databases, ensuring efficient data handling.
Network Engineer/Administrator: Build and maintain robust networks with a focus on security, troubleshooting, and performance optimisation.
Cybersecurity Analyst: Safeguard systems and networks by monitoring threats, implementing security measures, and mitigating risks.
Data Scientist: Extract meaningful insights from complex datasets using machine learning and data analysis, driving business decisions.
AI Engineer: Develop cutting-edge AI systems leveraging machine learning, computer vision, and natural language processing.
Cloud Architect: Design and manage scalable cloud infrastructure on platforms like AWS, Microsoft Azure, and Google Cloud.
Mobile App Developer: Develop innovative applications for iOS, Android, or cross-platform devices, enhancing user engagement.
My MBA at IILM equipped me with essential business and corporate skills that helped me excel professionally. Case studies, group discussions, and grooming sessions with brilliant peers shaped me into a lifelong learner. Transitioning from a non-finance background to a finance enthusiast was possible due to IILM’s well-designed curriculum. Grateful to call IILM my Alma Mater!”
As a proud gold medallist of my batch, I had the privilege of dedicating over a decade to Deloitte Consulting. My time at IILM was truly transformative, shaping both my career and personal growth. Returning to campus for the alumni meet was a nostalgic and heartwarming experience.”
My MBA at IILM equipped me with essential business and corporate skills that helped me excel professionally. Case studies, group discussions, and grooming sessions with brilliant peers shaped me into a lifelong learner. Transitioning from a non-finance background to a finance enthusiast was possible due to IILM’s well-designed curriculum. Grateful to call IILM my Alma Mater!”
