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Padur, Kelambakkam (OMR), Rajiv Gandhi Salai, Chennai - 603 103.
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www.hcaschennai.edu.in
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Campus: 044 69034444 / 7824080621 Admission: 044 24469714 /9789885555
Padur, Kelambakkam (OMR), Rajiv Gandhi Salai, Chennai - 603 103.
www.hcaschennai.edu.in
Campus: 044 69034444 / 7824080621 Admission: 044 24469714 /9789885555
Our program in Computer Science with Data Science is committed to propelling the interdisciplinary domain of Data Science forward, where statistical analysis, machine learning, and specialized knowledge intersect to uncover invaluable insights from intricate datasets.
We take pride in cultivating an interactive learning atmosphere that empowers students with the competencies and understanding required to excel in the contemporary data-centric landscape. Our goal is to nurture the upcoming cohort of Data Scientists while conducting pioneering research aimed at tackling tangible real-world issues.
Our dedication extends to fostering excellence in both academic pursuits and industry endeavors, all while prioritizing ethical and conscientious data methodologies.
| I Year | II Year | III Year |
|---|---|---|
| Semester - I | Semester - III | Semester - V |
| Language Paper-I | Core III: Data Structures | Core IX: Software Engineering |
| English Paper-I | Core IV: Java programming | Core X: Operating System |
| Core Course - I: Python Programming | Core V: Computer Organization |
Core XI: Relational Database Management System |
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Core Course - II: Python Programming Practical |
Practical III: Data Structures using Java Lab |
Practical V: Operating System Lab |
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Allied III: Financial Accounting | Practical VI: PL/SQL Lab |
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Skill Enhancement Course - I: Office Automation * |
Soft Skill – III | Elective - I |
|
Basic Tamil-I (Other Language Students) * |
Environmental Studies | Value Education |
|
Advanced Tamil-I (Other Language Students) * |
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Foundation Course FC: Fundamentals of Computers |
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| Semester - II | Semester - IV | Semester - VI |
| Language Paper-II | Core VI: Open Source Technologies |
Core XII: Web Design and Development |
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English Paper-II |
Core VII: Computer Network | Core XIII: Data Mining |
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Core Course - III: Object Oriented Programming using C++ |
Core VIII : E-Commerce technologies |
Core XIV: Mobile Application Development |
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Core Course - IV: Object Oriented Programming using C++ Practical |
Practical – IV Open Source Technologies Lab |
Practical VII: Mobile Application Development Lab |
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Elective Course - II Generic / Discipline Specific (Any one): |
Allied IV: Cost & Management Accounting |
Elective –II |
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Skill Enhancement Course - II: Office Automation Practical * |
Soft Skill – IV | Mini Project |
|
Basic Tamil-II (Other Language Students) * |
Environmental Studies | Extension Activities |
|
Advanced Tamil-II (Other Language Students) * |
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Skill Enhancement Course - III: Quantitative aptitude |
Hands-On Learning: Acquire practical skills through hands-on projects, working with real-world datasets to solve complex problems.
Expert Faculty: Learn from seasoned professionals and esteemed faculty who bring a wealth of industry knowledge into the classroom.
Advanced Technologies: Access state-of-the-art labs and technology, gaining proficiency in the latest tools and techniques used in the field.
Industry Connections: Leverage our extensive network for internships, industry projects, and guest lectures, connecting theory to real-world applications.
Capstone Projects: Showcase your skills through impactful capstone projects, demonstrating your readiness for the dynamic field of data science.
· High Demand: Data Science professionals are in high demand globally, as businesses increasingly rely on data-driven insights to make strategic decisions.
· Diverse Applications: Data Science finds applications in diverse fields such as finance, healthcare, retail, marketing, cyber security, and more. Virtually every industry benefits from data analysis and predictive modeling.
· Career Opportunities: Graduates of Data Science courses can pursue careers as Data Scientists, Data Analysts, Machine Learning Engineers, Business Analysts, AI Specialists, and more. The demand for skilled professionals in these roles continues to grow.
· Advanced Technologies: Students learn to work with advanced technologies such as machine learning, deep learning, natural language processing, big data analytics, and cloud computing. These skills are highly valued in today's job market.
· Research and Innovation: Data Science courses often emphasize research and innovation, enabling students to contribute to cutting-edge developments in the field. This could involve developing new algorithms, improving data processing techniques, or discovering novel applications for data analysis.
· Global Reach: Data Science is a global field, with opportunities available in various countries and regions around the world. This provides graduates with the flexibility to work internationally and explore diverse cultures and business environments.
