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BCA with specialization in Artificial Intelligence & Data Science in association with Oracle Academy

BCA with specialization in Artificial Intelligence & Data Science in association with Oracle Academy

Anand School of Engineering & Technology (ASET)

  • Programme Code

    ASET0111

  • Level

    Graduate

  • Duration

    3 Years

About the Programme

The specializations in Artificial Intelligence & Data Science & Analytics (DS) are offered in association with Oracle Academy, providing students with access to globally recognized learning resources, industry-aligned curriculum, and contemporary technology platforms. This collaboration enriches the academic experience by integrating emerging technologies, practical applications, and industry best practices into the learning process.

Through Oracle Academy resources, students gain exposure to advanced concepts in Artificial Intelligence, Machine Learning, Data Analytics, Database Technologies, Cloud Computing, and Data-Driven Decision Making. The programme emphasizes experiential learning through hands-on projects, laboratory activities, case studies, and technology-enabled coursework, enabling students to develop both technical expertise and professional competencies.

The collaboration further enhances industry readiness by fostering innovation, analytical thinking, and problem-solving abilities while providing opportunities to engage with globally relevant technologies and learning frameworks. By bridging the gap between academic knowledge and industry expectations, the programme prepares students to excel in the dynamic and rapidly evolving technology landscape.

 

This course is for individuals who...
  • Artificial Intelligence (AI): Understand the principles behind AI and how to implement algorithms and models that enable machines to learn and perform tasks autonomously. Study topics like neural networks, natural language processing (NLP), and computer vision.
  • Machine Learning (ML): Learn various machine learning techniques such as supervised and unsupervised learning, decision trees, clustering, regression, and reinforcement learning. Develop the ability to train and deploy models to predict outcomes from data.
  • Data Science & Analytics: Master data analysis and visualization tools to transform raw data into actionable insights. Study key concepts in data cleaning, data wrangling, statistical analysis, and predictive modeling.
  • Big Data: Gain a solid understanding of working with large datasets using distributed computing frameworks like Hadoop and Spark, and explore data storage solutions on the cloud with Oracle and other platforms.
  • Oracle Tools & Cloud Technologies: Learn to use Oracle's cloud computing services, database management systems, and AI-driven analytics tools, giving you an edge in building scalable and efficient data-driven applications.
Students who are looking for...
  • AI & Data Science Focus: Gain in-depth knowledge and hands-on experience in areas such as machine learning, artificial intelligence, big data analytics, and data visualization. Learn how to harness the power of data to solve real-world problems and create innovative solutions.
  • Industry Partnership with Oracle Academy: The program is enriched through an exclusive association with Oracle Academy, providing students with access to world-class training, resources, and certifications. Students will gain practical experience with Oracle's tools and technologies, enabling them to build industry-relevant skills in data management, AI systems, and cloud solutions.
  • Practical Experience: The curriculum emphasizes practical learning through projects, case studies, and internships. Students will work on real-world datasets, develop AI models, and implement data science techniques using Python, R, SQL, and tools such as TensorFlow, scikit-learn, and Oracle Analytics Cloud.
Course Fee:
For National Students
Academic Fee Fee Waiver
116700 20% Every Year
1st Year 93000 2nd Year 96000 3rd Year 99000
For International Students
Global Fee Global Scholarship
50% Every Year
Fee Per Year Fee Per Year (After Scholarship)
NA 0
Eligibility Criteria
For National Students
  • Sr. Secondary (10+2) with minimum 50% marks.
  • Mathematics/Statistics/Computer/Information Science being one of the subjects
For International Students The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program.
Career path you can choose after the course
  • Data Scientist
  • AI Researcher
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Data Analyst
  • AI Solutions Architect
  • Big Data Engineer
  • Cloud Data Engineer

Take the next step towards a career in computer application.

Apply Now