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Data Science Artificial Intelligence and Machine Learning
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Transorze Academy - Dubai

Address

The Atrium - Center, 3rd floor, office no 303 - 124 Khalid Bin Al Waleed Rd, Mankhool, Dubai - 000000

Opening Hours

Mon - Sun

09:00 AM - 06:00 PM

Mail ID

info@transorze.com

Phone

971581140369

Data Science Artificial Intelligence and Machine Learning

Data Science Artificial Intelligence and Machine Learning

At a Glance

  1. Level: Bachelor’s degree
  2. Duration: 3 Years (6 semesters)
  3. No. of Credits: 120
  4. Mode: online/offline
  5. Exam Type: Semester-wise
  6. Min. Qualification Requirement: Min 50% in Plus 2, Grade 12
  7. Age: Min 18 years
  8. Average Salary: INR 3 to 6 Lakhs per annum
  9. Selection Process: Entrance Exam/Merit-based

About Course

The BCA Data Science, Artificial Intelligence & Machine Learning program is a future-focused undergraduate course designed to equip students with in-demand technical and analytical skills. This program emphasizes data-driven decision-making, intelligent systems, and real-world problem-solving using advanced technologies.

Students gain hands-on experience in Data Science, AI, and Machine Learning, enabling them to analyze large datasets, build predictive models, and develop intelligent applications. The course combines theoretical knowledge with practical exposure, preparing students for dynamic roles in the IT and analytics industry.

This program focuses heavily on data-driven decision-making and predictive modeling, ensuring students are industry-ready with expertise in modern tools and technologies.

Curriculum

  1. Programming Fundamentals
  2. Data Wrangling & Data Cleaning
  3. Exploratory Data Analysis (EDA)
  4. Statistics & Probability for Data Science
  5. Database Management Systems (SQL)
  6. Big Data Technologies (Hadoop & Spark)
  7. Machine Learning Algorithms
  8. Predictive Analytics & Model Building
  9. Artificial Intelligence Concepts
  10. Deep Learning Basics
  11. Data Visualization (Power BI / Tableau)
  12. Statistical Inference
  13. Cloud Computing Basics
  14. Real-time Projects & Case Studies

Career Opportunities

Graduates of this program can explore a wide range of high-demand roles such as:

  1. Data Analyst
  2. Junior Data Scientist
  3. Machine Learning Engineer
  4. AI Engineer
  5. Business Intelligence Analyst
  6. Data Engineer
  7. Research Analyst
  8. Software Developer (AI-based applications)
  9. Data Consultant
  10. Analytics Specialist

With experience, professionals can grow into roles like Senior Data Scientist, AI Architect, or Analytics Manager.

Why Choose this Program?

  1. Industry-oriented curriculum aligned with current tech trends
  2. Strong focus on practical learning and real-time projects
  3. High-demand career opportunities in AI & Data Science
  4. Hands-on training in tools like Python, Hadoop, Spark & ML frameworks
  5. Builds strong analytical and problem-solving skills
  6. Prepares students for global IT and analytics careers



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Data Science Artificial Intelligence and Machine Learning

Data Science Artificial Intelligence and Machine Learning

At a Glance

  1. Level: Bachelor’s degree
  2. Duration: 3 Years (6 semesters)
  3. No. of Credits: 120
  4. Mode: online/offline
  5. Exam Type: Semester-wise
  6. Min. Qualification Requirement: Min 50% in Plus 2, Grade 12
  7. Age: Min 18 years
  8. Average Salary: INR 3 to 6 Lakhs per annum
  9. Selection Process: Entrance Exam/Merit-based

About Course

The BCA Data Science, Artificial Intelligence & Machine Learning program is a future-focused undergraduate course designed to equip students with in-demand technical and analytical skills. This program emphasizes data-driven decision-making, intelligent systems, and real-world problem-solving using advanced technologies.

Students gain hands-on experience in Data Science, AI, and Machine Learning, enabling them to analyze large datasets, build predictive models, and develop intelligent applications. The course combines theoretical knowledge with practical exposure, preparing students for dynamic roles in the IT and analytics industry.

This program focuses heavily on data-driven decision-making and predictive modeling, ensuring students are industry-ready with expertise in modern tools and technologies.

Curriculum

  1. Programming Fundamentals
  2. Data Wrangling & Data Cleaning
  3. Exploratory Data Analysis (EDA)
  4. Statistics & Probability for Data Science
  5. Database Management Systems (SQL)
  6. Big Data Technologies (Hadoop & Spark)
  7. Machine Learning Algorithms
  8. Predictive Analytics & Model Building
  9. Artificial Intelligence Concepts
  10. Deep Learning Basics
  11. Data Visualization (Power BI / Tableau)
  12. Statistical Inference
  13. Cloud Computing Basics
  14. Real-time Projects & Case Studies

Career Opportunities

Graduates of this program can explore a wide range of high-demand roles such as:

  1. Data Analyst
  2. Junior Data Scientist
  3. Machine Learning Engineer
  4. AI Engineer
  5. Business Intelligence Analyst
  6. Data Engineer
  7. Research Analyst
  8. Software Developer (AI-based applications)
  9. Data Consultant
  10. Analytics Specialist

With experience, professionals can grow into roles like Senior Data Scientist, AI Architect, or Analytics Manager.

Why Choose this Program?

  1. Industry-oriented curriculum aligned with current tech trends
  2. Strong focus on practical learning and real-time projects
  3. High-demand career opportunities in AI & Data Science
  4. Hands-on training in tools like Python, Hadoop, Spark & ML frameworks
  5. Builds strong analytical and problem-solving skills
  6. Prepares students for global IT and analytics careers



Artificial Intelligence and Machine Learning with Minor in Robotics

Artificial Intelligence and Machine Learning with Minor in Robotics

At a Glance

  1. Level: Bachelor’s degree
  2. Duration: 3 Years (6 semesters)
  3. No. of Credits: 120
  4. Mode: online/offline
  5. Exam Type: Semester-wise
  6. Min. Qualification Requirement: Min 50% in Plus 2, Grade 12
  7. Age: Min 18 years
  8. Average Salary: INR 3 to 8 Lakhs per annum
  9. Selection Process: Entrance Exam/Merit-based

About Course

The BCA Artificial Intelligence and Machine Learning with Minor in Robotics is a future-focused undergraduate program designed to bridge the gap between intelligent software systems and real-world automation. This course equips students with strong foundations in computer applications while specializing in cutting-edge technologies like AI, Machine Learning, and Robotics.

The program emphasizes practical learning, industry exposure, and hands-on training to help students build intelligent systems, automate processes, and develop smart applications. With a blend of programming, data science, and robotics concepts, students gain the skills required to thrive in the rapidly evolving tech industry.

Curriculum

  1. Data Structures
  2. Database Management Systems (DBMS)
  3. Python Programming
  4. Applied Statistics
  5. Neural Networks
  6. Deep Learning
  7. Natural Language Processing
  8. Computer Vision
  9. Microcontrollers
  10. Robot Kinematics and Dynamics
  11. Sensors and Actuators
  12. Embedded Systems

Career Opportunities

After completing this program, students can explore diverse roles in IT, AI, and automation industries, such as:

  1. AI/ML Engineer
  2. Data Analyst / Data Scientist
  3. Robotics Engineer
  4. Software Developer
  5. Automation Engineer
  6. Computer Vision Engineer
  7. NLP Engineer
  8. Embedded Systems Developer
  9. Business Intelligence Analyst
  10. Research Assistant (AI & Robotics)

Why Choose this Program?

  1. Combines software intelligence with real-world robotics applications
  2. High demand career opportunities in AI, automation, and tech industries
  3. Hands-on training with real-time projects and tools
  4. Industry-relevant curriculum aligned with future technologies
  5. Strong foundation in programming, analytics, and system design
  6. Opportunities for internships and live project experience



Cyber Security and Ethical Hacking with Minor in Digital Forensics

Cyber Security and Ethical Hacking with Minor in Digital Forensics

At a Glance

  1. Level: Bachelor’s degree
  2. Duration: 3 Years (6 semesters)
  3. No. of Credits: 120
  4. Mode: online/offline
  5. Exam Type: Semester-wise
  6. Min. Qualification Requirement: Min 50% in Plus 2, Grade 12
  7. Age: Min 18 years
  8. Average Salary: INR 3 to 6 Lakhs per annum (based on skills & certifications)
  9. Selection Process: Entrance Exam/Merit-based

About Course

The BCA Cyber Security and Ethical Hacking with a Minor in Digital Forensics is a future-focused undergraduate program designed to equip students with the technical expertise required to protect digital systems and investigate cybercrimes.

This program blends core computing knowledge with advanced cybersecurity practices, enabling students to understand how cyber threats work—and more importantly, how to prevent them. Students gain hands-on experience in ethical hacking, vulnerability assessment, and digital investigation techniques.

With the increasing demand for cybersecurity professionals across industries, this course prepares learners for high-growth careers by combining practical training, real-world simulations, and industry-relevant tools.

Curriculum

  1. Computer Networks
  2. Operating Systems (Linux & Windows)
  3. Cryptography
  4. Web Technologies
  5. VAPT (Vulnerability Assessment and Penetration Testing)
  6. SQL Injection
  7. System Hacking
  8. Network Security
  9. Information Security & Cyber Laws
  10. SOC Operations
  11. Mobile Forensics
  12. Incident Response
  13. Malware Analysis
  14. Evidence Handling & Chain of Custody

Career Opportunities

  1. Cyber Security Analyst
  2. Ethical Hacker / Penetration Tester
  3. Digital Forensics Analyst
  4. Security Operations Center (SOC) Analyst
  5. Information Security Analyst
  6. Network Security Engineer
  7. Incident Response Analyst
  8. Malware Analyst
  9. IT Security Consultant
  10. Cyber Crime Investigator

Why Choose this Program?

  1. Industry-relevant curriculum aligned with current cyber threats
  2. Hands-on training in ethical hacking and cybersecurity tools
  3. Exposure to real-time cyberattack simulations and case studies
  4. Growing demand for cybersecurity professionals globally
  5. Opportunities in government, IT companies, banking, and MNCs
  6. Strong foundation for certifications like CEH, CompTIA Security+, and more



Artificial intelligence and cloud computing with minor in Devops

Artificial intelligence and cloud computing with minor in Devops

At a Glance

  1. Level: Bachelor’s degree
  2. Duration: 3 Years (6 semesters)
  3. No. of Credits: 120
  4. Mode: online/offline
  5. Exam Type: Semester-wise
  6. Min. Qualification Requirement: Min 50% in Plus 2, Grade 12
  7. Age: Min 18 years
  8. Average Salary: INR 3 to 6 Lakhs per annum
  9. Selection Process: Entrance Exam/Merit-based

About Course

The BCA Artificial Intelligence and Cloud Computing with Minor in DevOps is a future-focused undergraduate program designed to equip students with cutting-edge skills in intelligent systems, scalable cloud technologies, and modern software deployment practices.

This program blends core computer science fundamentals with advanced technologies like Artificial Intelligence (AI), Machine Learning, and Cloud Computing, enabling students to build, deploy, and manage smart applications in real-world environments.

With a strong emphasis on hands-on learning, students gain practical exposure to cloud platforms, automation tools, and DevOps methodologies, preparing them for high-demand roles in the IT industry.

Curriculum

  1. Computer Architecture
  2. Software Engineering
  3. Object-Oriented Programming (Java/C++)
  4. Data Structures & Algorithms
  5. Database Management Systems
  6. Artificial Intelligence Fundamentals
  7. Machine Learning Basics
  8. Cloud Computing Concepts
  9. Virtualization Technologies
  10. AWS / Azure / Google Cloud Administration
  11. Cloud Security & Compliance
  12. DevOps Fundamentals
  13. CI/CD Pipelines (Jenkins)
  14. Containerization
  15. Infrastructure as Code
  16. Version Control Systems (Git)
  17. Web Technologies
  18. Python Programming for AI
  19. API Development & Integration
  20. Capstone Project & Internship

Career Opportunities

Graduates of this program can explore diverse and high-paying roles such as:

  1. AI Engineer
  2. Cloud Engineer
  3. DevOps Engineer
  4. Machine Learning Engineer
  5. Cloud Solutions Architect
  6. IT Consultant
  7. Software Developer
  8. Data Analyst
  9. Site Reliability Engineer (SRE)
  10. Automation Engineer
  11. Full Stack Developer

Why Choose this Program?

  1. Industry-oriented curriculum aligned with latest technologies
  2. Hands-on training with real-world projects and tools
  3. Exposure to leading cloud platforms like AWS, Azure, and Google Cloud
  4. Strong foundation in Artificial Intelligence and Machine Learning
  5. In-demand DevOps skills for automation and deployment
  6. Internship and placement assistance
  7. High career growth in global IT sectors