🎓 Admissions Open for 2025-26 September Intake
Admissions Open for September 2025-26 Intake.
BCA in Artificial Intelligence & Machine Learning
The BCA in Artificial Intelligence & Machine Learning is a forward-thinking program designed to equip students with the expertise required to develop intelligent systems, analyze complex data, and implement advanced machine learning techniques. This program is ideal for individuals passionate about technology and innovation, preparing them for dynamic careers in AI, data science, and automation.
Key Modules
Data Science
Neural Networks
Python Programming
AI Ethics
Duration
3 Years | Full-Time
Mode of Study: On-Campus
Fee Structure
Registration Fee - AED 1500
Course Fee - AED 25000
Eligibility
Academic Qualifications:
Completion of 10+2 or equivalent from a recognized board
Minimum 50% aggregate marks
Personal Interview:
Showcase your skills, confidence, and potential in a one-on-one assessment.
Students must have scored more than 80% in their English subject in their 10+2. If this criterion is not met, an internal English proficiency test will be conducted at the time of admission, and students must score at least 80% to qualify.
Alternatively, the following international English proficiency test scores are also accepted:
- IELTS: Minimum overall score of 5.0
- TOEFL (Paper-Based): Minimum score of 500
- TOEFL (Internet-Based): Minimum score of 61
- TOEFL (Computer-Based): Minimum score of 173
- Duolingo English Test: Minimum score of 90
| Course Category | Paper Title | Credits |
|---|---|---|
| Core | Introduction to Problem Solving using ‘C’ | 3 |
| Core | Elementary Mathematics | 3 |
| SEC | Overview of Artificial Intelligence, Ethics and Foundation of Data Analysis | 3 |
| AEC | English-I | 3 |
| DSE1 | XML Programming / Big Data Technologies | 3 |
| Core-Practical | C Programming Lab | 2 |
| Core-Practical | Office Automation Tool Lab | 2 |
| SEC-Practical | Overview of Artificial Intelligence, Ethics and Foundation of Data Analysis Lab | 2 |
| Total | 21 |
| Course Category | Paper Title | Credits |
|---|---|---|
| Core | Database Management System | 3 |
| DSE 3 | Discrete Mathematics / MySQL (SQL/PL-SQL) | 3 |
| Core | Analysis of Algorithms and Data Structures | 3 |
| VAC | Environment Science | 0 |
| Core | Data Analysis and Data Visualization using Python | 3 |
| OE1 | UX design Fundamentals / Cloud Computing | 2 |
| Core-Practical | Database Management System Lab | 1 |
| SEC | Data Structures Using ‘C’ Lab | 2 |
| GE2 | Data Analysis and Data Visualization using Python Lab with Projects | 2 |
| MySQL (SQL/PL-SQL) Lab with Minor Projects | ||
| Total | 23 |
| Course Category | Paper Title | Credits |
|---|---|---|
| Core | Operating System | 2 |
| Core | OOP Using C++ | 3 |
| AEC | Software Engineering | 3 |
| SEC | Computer Networks | 3 |
| SEC3 | R Programming for Data Analytics | 3 |
| DSE3 | Natural Language Processing / Ethical Hacking & Penetration Testing | 3 |
| Core-Practical | OOP Using C++ Lab | 1 |
| SEC3-Practical | R Programming for Data Analytics Lab with Mini Projects | 2 |
| Total | 20 |
| Course Category | Paper Title | Credits |
|---|---|---|
| Core | Computer Architecture | 2 |
| Core | Programming in Java | 3 |
| DSE | Technical Seminar and Report Writing | 3 |
| Shell Programming and System Administration | ||
| PSE4 | Foundation of Machine Learning | 3 |
| OGE2 | PHP Programming / Cloud Architecture and Design | 2 |
| GE4 | E-Commerce Technologies | 2 |
| Data Mining and Analytics | ||
| Core-Practical | Java Programming Lab | 1 |
| Core-Practical | Internet and Web Design Lab | 1 |
| Core-Practical | Shell Programming and System Administration Lab | 1 |
| Core-Practical | Foundation of Machine Learning Lab | 2 |
| VAC | English-II | 0 |
| Total | 20 |
| Course Category | Paper Title | Credits |
|---|---|---|
| Core | Computer Graphics and Multimedia | 3 |
| SEC | Data Warehousing and Data Mining | 2 |
| Core | Android Programming | 3 |
| VAC | Management Process & Organization Behavior | 0 |
| Core | Foundation of Neural Network and Deep Learning | 3 |
| DSE5 | ‘R’ Programming and Python Programming / Swift Programming | 3 |
| Core-Practical | Computer Graphics and Multimedia Lab | 1 |
| Core-Practical | .NET Programming Lab | 2 |
| Core-Practical | Android Programming Lab & Minor Project | 1 |
| Core-Practical | Foundation of Neural Network and Deep Learning Lab | 1 |
| Total | 19 |
| Course Category | Paper Title | Credits |
|---|---|---|
| Core | Data Visualization | 4 |
| Project/Internship | Capstone Project/Internship | 20 |
| Total | 24 |
USPs
Future-Focused Curriculum
The course is designed to equip students with skills in AI, machine learning, and data science, which are in high demand across various industries.
Practical Learning
Engage in real-world projects, coding labs, and internships that provide practical exposure to AI and ML applications.
Expert-Led Instruction
Learn from AI and ML professionals who are actively engaged in cutting-edge research and development.
State-of-the-Art Labs
Access to advanced computing labs equipped with the latest AI and ML software and hardware.
Interdisciplinary Approach
The program integrates concepts from computer science, mathematics, and statistics to provide a comprehensive understanding of AI and ML.
Capstone Projects
Opportunity to work on high-impact capstone projects in collaboration with industry partners, solving real-world problems.
Career-Ready Graduates
Graduates are well-prepared for roles such as AI Developer, Data Scientist, Machine Learning Engineer, and more.
Prestigious Scholarships
Our prestigious scholarships provide financial aid, rewarding excellence, empowering students, and creating transformative career opportunities.
Affordable Excellence
Our affordable fee structure ensures accessible, high-quality education, making higher studies financially sustainable and career-focused.
Learning Outcomes
Strategic AI Model Development
Design and implement AI models that address complex, real-world problems, driving innovation across industries.
Advanced Data Analysis Techniques
Utilize machine learning algorithms to drive strategic insights from large datasets, optimizing decision-making processes.
Comprehensive Understanding of AI and ML
Gain a deep understanding of AI and machine learning concepts with a focus on strategic applications for business growth.
Expert Programming for AI Solutions
Develop advanced programming skills in languages like Python to create sophisticated AI applications.
Strategic Ethics in AI Development
Address the ethical, societal, and regulatory challenges of AI, integrating responsible practices into AI solutions.
Interdisciplinary Integration
Apply AI and ML concepts across various disciplines (e.g., healthcare, finance, education) to solve specific challenges.
Why Choose JNU RAK Programs?
Comprehensive Curriculum
Master key areas such as Data Science, Neural Networks, Python Programming, and more.
Industry-Oriented Learning
Gain hands-on experience through real-world projects, case studies, and AI-driven problem-solving.
High-Demand Career Path
Prepare for roles in AI development, data analytics, automation, and research.
Expert Faculty & Advanced Labs
Learn from industry professionals and work in advanced computing environments.
Frequently Asked Questions
Find answers to common queries about JNU RAK here. If you need further assistance, feel free to reach out to our admissions team.
