BCA Artificial Intelligence & Machine Learning
Lead the AI revolution. Learn to build intelligent systems and develop algorithms that shape the future.
BCA Artificial Intelligence & Machine Learning
Join the revolution in AI with our BCA Artificial Intelligence & Machine Learning. This program focuses on the development of intelligent systems, data science, and advanced machine learning techniques. Ideal for those passionate about technology and innovation.
Key Modules
Data Science, Neural Networks, Python Programming, AI Ethics.
Duration
3 Years | Mode: Full-Time
Fee
Registration Fee (AED) – 1500
Course Fee (AED) – 25000
Eligibility
Academic Qualifications
Admission is open to students who have passed the qualifying 10+2 examination or its equivalent from a recognized board with at least 50% aggregate marks.
English Proficiency
Proof of English language proficiency may be required for non-native speakers.
Programme Structure
| Course Category | Paper Title | Credits |
|---|---|---|
| Core | Introduction to Problem Solving using ‘C’ | 3 |
| Core | Fundamentals of Computers and PC Tools | 3 |
| Core | Elementary Mathematics | 3 |
| PSE1 | Overview of Artificial Intelligence, Ethics and Foundation of Data Analysis | 3 |
| AEC | English-I | 3 |
| OGE1 | XML Programming / Big Data Technologies | 2 |
| Core | C Programming Lab | 2 |
| Core | Office Automation Tool Lab | 2 |
| PSE | Overview of Artificial Intelligence, Ethics and Foundation of Data Analysis Lab | 2 |
| Total | 23 | |
| Course Category | Paper Title | Credits |
|---|---|---|
| Core | Database Management System | 3 |
| Core | Discrete Mathematics | 3 |
| Core | Analysis of Algorithms and Data Structures | 3 |
| VAC | Environment Science | 3 |
| PSE2 | Data Analysis and Data Visualization using Python | 3 |
| OGE2 | MySQL (SQL/PL-SQL) / Cloud Computing | 2 |
| Core | Database Management System Lab | 2 |
| Core | Data Structures Using ‘C’ Lab | 2 |
| PSE | Data Analysis and Data Visualization using Python Lab with Projects | 2 |
| Total | 23 | |
| Course Category | Paper Title | Credits |
|---|---|---|
| Core | Operating System | 3 |
| Core | OOP Using C++ | 3 |
| Core | Software Engineering | 3 |
| Core | Computer Networks | 3 |
| SEE3 | R Programming for Data Analytics | 3 |
| OGE3 | Network Security / Ethical Hacking & Penetration Testing | 2 |
| Core | Operating Systems Lab | 2 |
| Core | OOP Using C++ Lab | 2 |
| Core | Software Engineering Lab | 1 |
| SEE | R Programming for Data Analytics Lab with Mini Projects | 1 |
| Total | 23 | |
| Course Category | Paper Title | Credits |
|---|---|---|
| Core | Computer Architecture | 3 |
| Core | Programming in Java | 3 |
| Core | Internet and Web Design | 3 |
| Core | Shell Programming and System Administration | 3 |
| PSE4 | Foundation of Machine Learning | 3 |
| OGE4 | PHP Programming / Cloud Architecture and Design / Data Mining and Analytics | 2 |
| Core | Java Programming Lab | 1 |
| Core | Internet and Web Design Lab | 1 |
| SEC | Shell Programming and System Administration Lab | 1 |
| PSE | Foundation of Machine Learning Lab | 2 |
| Total | 22 | |
| Course Category | Paper Title | Credits |
|---|---|---|
| Core | Computer Graphics and Multimedia | 3 |
| Core | Programming in .NET | 3 |
| Core | Data Warehousing and Data Mining | 3 |
| Core | Android Programming | 3 |
| VAC | Management Process & Organization Behavior | 2 |
| PSE5 | Foundation of Neural Network and Deep Learning | 3 |
| OGE5 | ‘R’ Programming and Python Programming / Swift Programming / Scala | 2 |
| Core | Computer Graphics and Multimedia Lab | 1 |
| Core | .NET Programming Lab | 2 |
| SEC | Android Programming Lab & Minor Project | 1 |
| PSE | Foundation of Neural Network and Deep Learning Lab | 1 |
| Total | 24 | |
| Course Category | Paper Title | Credits |
|---|---|---|
| PSE6 | Data Visualization | 4 |
| Core | 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.
Take the Next Step to Enlightened Career Pathways
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 derive 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.
Why Choose JNU RAK Programs?
Our programs are aligned with the latest industry trends, ensuring you gain relevant skills that employers value.
Learn from experienced faculty and industry exposure which will bring pragmatics into the classroom.
Gain experience from internships- reinvent learning with projects, and workshops to be career-ready.
Grow and learn with international partnerships and diverse campus, building strong career paths.
Frequently Asked Questions (FAQs)
Find answers to common queries about JNU RAK here. If you need further assistance, feel free to reach out to our admissions team.
Yes, all our programs are internationally recognized and designed to meet global academic standards, providing you with a competitive edge in your career.
Applicants need a high school diploma or equivalent. Specific entry requirements may vary by program. please consult our admissions team for detailed information.
Yes, we offer scholarships and financial aid based on merit and need. For more information, please contact our admissions office.
We offer comprehensive career services, including internships, job placement assistance, career counseling, and networking opportunities with industry professionals.
Applications can be submitted online through our official website. For detailed guidance on the application process, please contact our admissions team.
