dbcb

Programme Overview

The Bachelor of Computer Applications (Hons) is a 4-year undergraduate degree designed to equip students with the skills, knowledge, and practical experience required to excel in the rapidly evolving field of computer applications and information technology. Aligned with the National Education Policy (NEP) 2020, this programme offers flexibility, multidisciplinary learning, and a robust foundation in computing principles. This programme is designed to equip students with practical and theoretical knowledge in computer applications, offering two specialised tracks to meet the demands of modern industries:

Specialisation

This Honours programme in Artificial Intelligence and Machine Learning provides a rigorous and in-depth understanding of AI and ML technologies, preparing students for advanced roles in AI-driven industries. The curriculum encompasses key areas such as algorithms, predictive modelling, machine learning techniques, and data-driven decision-making, equipping students with the skills to develop intelligent systems capable of solving complex, real-world problems. Students delve into foundational topics like supervised and unsupervised learning, neural networks, and deep learning, alongside advanced methods such as reinforcement learning, natural language processing, and computer vision. Through hands-on experience with tools and frameworks like TensorFlow, PyTorch, and scikit-learn, students apply their knowledge to practical projects, gaining expertise in building and optimising AI models for applications across industries such as healthcare, finance, and automation. By balancing theoretical foundations with practical application, this programme prepares graduates for cutting-edge roles in AI research, development, and implementation, positioning them to drive innovation and advancement in the rapidly evolving field of artificial intelligence.

The Web Design and Development programme is designed to equip students with a comprehensive set of skills needed to create dynamic, responsive, and user-friendly web applications. The curriculum covers both front-end and back-end technologies, providing expertise in HTML, CSS, JavaScript, and frameworks such as React and Angular for building interactive and modern websites. Students also delve into back-end development using languages like Node.js and Python, as well as databases such as MySQL and MongoDB, to manage and store data efficiently. A key focus of the programme is responsive design, enabling students to create websites that function seamlessly across various devices and screen sizes. Additionally, the programme emphasises UI/UX principles, teaching students how to design intuitive and visually appealing user interfaces that enhance user experience. Through hands-on projects, students gain the ability to integrate design and functionality, preparing them to develop engaging, scalable web applications that meet the needs of diverse users and industries.

Why Choose IILM University?

delivered (1)

01

Over 30 years of Academic Excellence

Delivering quality education with a legacy of three decades.

internet

02

Global Network of over 16,000 Alumni

A strong, supportive alumni community spread across the globe.

business

03

International Collaborations

Partnering with renowned global institutions for a holistic education experience.

online-interview

04

Job Opportunities with over 400 Companies

Connecting students with leading employers for rewarding careers.

location

05

Centrally Located Green Campuses

Eco-friendly campuses situated in prime, accessible locations.

scholarship

06

Merit-based Scholarships

Recognising and rewarding academic excellence with financial support.

pennant

07

Renowned Faculty from Academia and Industry

Learn from experts with rich academic and industry experience.

university

08

Vibrant Campus Life

Experience an engaging and dynamic environment both inside and outside the classroom.

resume

09

Internationally Benchmarked Curriculum

A curriculum designed to meet global standards of education and practice.

Programme Outcomes

01

Technical Proficiency
Develop strong foundations in computer science concepts like programming, software development, and systems design.

02

Problem-Solving Skills
Apply critical thinking and analytical skills to design innovative solutions for real-world challenges.

03

Industry-Ready Expertise
Gain hands-on experience through internships, projects, and exposure to cutting-edge technologies like AI, Cybersecurity, and Data Science.

04

Adaptability to Emerging Trends
Stay ahead in the tech industry by mastering evolving tools, technologies, and industry practices.

05

Ethical and Social Responsibility
Understand and uphold ethical practices while contributing responsibly to the IT industry and society.

06

Effective Communication
Excel in teamwork, leadership, and professional communication for success in diverse roles.

Programme Educational Objectives

New Project
  • Build Core Competence in Computing

    Provide students with a robust foundation in computer applications and specialised domains to solve real-world technological challenges.

  • Foster Innovation and Creativity

    Encourage innovative thinking to develop cutting-edge solutions in AI-ML, web development, and other advanced technologies.

  • Enhance Practical and Analytical Skills

    Enable hands-on learning to design, develop, and optimise software applications, ensuring industry readiness.

  • Prepare for Diverse Career Opportunities

    Equip students with the knowledge and skills to excel in various roles across tech industries or pursue higher education.

Candidates must have passed the qualifying examination with a minimum of 50% marks (45% for SC/ST/Reserved candidates) in aggregate.

  • No grace marks are allowed.

  • 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.

    events_bg