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The Bachelor of Computer Applications (Hons.) in Data Science & AI at ASB, Trivandrum is designed to equip students with cutting-edge skills in data analytics, artificial intelligence, and machine learning, preparing them for the rapidly evolving tech industry. This program blends computer science fundamentals with advanced data science techniques, enabling students to develop solutions for real-world challenges.
BCA - Data Science & AI
Students will gain hands-on experience with data analysis, predictive modeling, machine learning, deep learning, and big data technologies. The curriculum integrates theoretical foundations with practical applications, ensuring graduates are industry-ready for roles in data science, AI engineering, business intelligence, and analytics.
By leveraging AI-driven tools, cloud computing, and ethical AI principles, the program fosters innovation and problem-solving capabilities essential for success in today’s data-driven world
Key Features
- ❖ Core Computer Science Knowledge – Strong foundation in programming, algorithms, and data structures.
- ❖ Programming Proficiency – Hands-on coding in Python, R, and SQL, essential for AI and data science applications.
- ❖ Data Science Fundamentals – Understanding data manipulation, visualization, and statistical modeling for insights-driven decision-making.
- ❖ Machine Learning & AI Applications – Training in predictive modeling, natural language processing (NLP), and AI-powered automation.
- ❖ Big Data & Cloud Technologies – Exposure to Hadoop, Spark, and cloud computing for handling large-scale datasets.
- ❖ Business Intelligence & Analytics – Application of data analytics in decision-making and business strategy.
- ❖ Ethics & Compliance in AI – Understanding of privacy laws, data security, and ethical AI considerations.
- ❖ Industry Collaboration & Internships – Hands-on industry projects and real-world applications to bridge the gap between academics and industry.
- ❖ Capstone Project – A comprehensive project applying AI and data science techniques to solve real-world business or societal problems.
Career Opportunities
- ➢ Data Scientist
- ➢ Data Analyst
- ➢ Business Intelligence Analyst
- ➢ Machine Learning Engineer
- ➢ Big Data Engineer
- ➢ Quantitative Analyst
- ➢ AI (Artificial Intelligence) Engineer
- ➢ Research Scientist
- ➢ Data Engineer
- ➢ Predictive Modeler
- ➢ IoT (Internet of Things) Analyst
- ➢ Healthcare Data Analyst
