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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.

Program Educational Objectives (BCA)

  • PEO1: Demonstrate technical proficiency and application development skills to secure professional positions in IT, ITES, or related sectors, or successfully pursue higher education in computing and management.
  • PEO2: Continuously enhance their professional knowledge and technical skills by adapting to new tools and technologies, engaging in lifelong learning, and contributing effectively to evolving organizational needs.
  • PEO3: Practice professional ethics, demonstrate effective communication and teamwork, and exhibit the leadership qualities necessary to manage projects and contribute positively to society and their workplace.
  • PEO4: Leverage their foundational knowledge and problem-solving capabilities to innovate, establish, or contribute to entrepreneurial ventures that address societal challenges through technology.

Program Outcomes (BCA)

  • PO1: Engineering Knowledge -  Utilize a comprehensive understanding of mathematics, science, and engineering fundamentals, including computing principles, to address intricate engineering challenges within the field of computer applications.
  • PO2: Problem Analysis -  Effectively identify, research, and analyze complex engineering problems within the realm of computer applications, leveraging foundational principles of mathematics, natural sciences, and engineering sciences to formulate computing requirements and derive substantiated conclusions
  • PO3: Design & Development of Solutions -  Demonstrate the ability to design, implement, and evaluate software-based systems with appropriate attention to public health, safety, cultural, societal, and environmental considerations
  • PO4: Research & Data Interpretation -  Apply research-based knowledge and methodologies, encompassing experimental design, data analysis, and information synthesis, to interpreting data effectively.
  • PO5: Modern Tool Usage -  Utilize contemporary engineering and IT tools, including predictive modeling techniques, for complex engineering activities, with an awareness of their limitations. Demonstrate adeptness in applying current techniques, skills, and modern computing tools essential for effective practice.
  • PO6: Society, Environment & Sustainability -  Apply contextual knowledge to evaluate societal, health, safety, legal, and cultural issues, along with associated responsibilities, pertinent to professional engineering practice. Comprehend the societal and environmental implications of professional engineering solutions, emphasizing the importance of sustainable development. Analyze the local and global ramifications of computing on individuals, organizations, society and the world.
  • PO7: Ethics & Professional Responsibility -  Display comprehension of professional, ethical, legal, security, and social issues, and uphold responsibilities with a commitment to diversity, equity, and inclusive behavior within the realm of Computer Applications.
  • PO8: Individual & Team Work -  Capable of working efficiently both independently and by actively contributing to collaborative teamwork within diverse, multidisciplinary teams to achieve shared objectives.
  • PO9: Communication Skills -  Demonstrate effective and inclusive communication skills to convey information clearly with diverse audiences across different contexts using appropriate media and tools.
  • PO10: Professional Development -  Recognition of the need for and an ability to engage in continuing professional development.
  • PO11: Life-long Learning & Adaptability -  Recognize the need for, and have the ability to engage in, independent and life-long learning, demonstrating adaptability and awareness of emerging technologies in the rapidly evolving field of Computer Applications.

Program Specific Outcomes (BCA)

  • PSO1: Software Development and Problem Solving - Apply programming concepts, data structures, algorithms, database technologies, and software development methodologies to design and develop efficient, reliable, and user-oriented computing solutions for real-world problems.
  • PSO2: Emerging Technologies and Computing Tools - Utilize modern computing tools, analytical techniques, and emerging technologies such as Artificial Intelligence, Data Science, Cloud Computing, Cyber Security, and Web/Mobile Technologies to develop innovative and sustainable applications.
  • PSO3: Professional Skills and Lifelong Learning - Demonstrate professional ethics, effective communication, teamwork, adaptability, and continuous learning abilities to function successfully in multidisciplinary environments and adapt to evolving technological advancements.

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