Welcome to

B.Sc Computer Science With Data Science

The B.Sc Computer Science With Data Science course program that focuses on extracting meaningful insights from large volumes of data using scientific methods, algorithms, and tools. It combines elements of mathematics, statistics, computer science, and domain-specific knowledge to solve real-world problems.

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about our Department

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 datacentric 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.

The B.Sc Computer Science with Data Science programme at Hindustan College of Arts & Science, a leading B.Sc Computer Science with Data Science college in Chennai, is designed to equip students with strong programming skills and data-driven thinking. This undergraduate programme combines core computer science subjects with essential data science concepts such as Python programming, statistics, data analytics, machine learning fundamentals, and database management. As a future-ready Data Science course in Chennai, the curriculum emphasizes practical learning and industry relevance, enabling students to understand how data is collected, analyzed, and transformed into meaningful insights.

Students graduating from this Data Science undergraduate course in Chennai are prepared for careers such as data analyst, junior data scientist, software developer, business intelligence analyst, and AI support roles. With strong academic support, modern infrastructure, and placement assistance, HCAS stands out as a preferred B.Sc Computer Science with Data Science college in Chennai for students aiming to build successful careers in data-driven industries.

 

  • Library
  • Best Laboratories
  • Add-on Courses
  • Scholarships
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Highlights of the Department

  • Industry-Aligned Curriculum
    • Designed in collaboration with industry experts to meet current data trends.
  • Expert Faculty
    • Experienced professors and data professionals from academia and industry.
  • Advanced Tools & Technologies
    • Training in Python, R, SQL, Tableau, Hadoop, TensorFlow, and more.
  • Internship & Placement Support
    • Strong industry connections for internships and job placements in top tech firms.
  • Workshops & Guest Lectures
    • Regular sessions by data scientists, AI experts, and tech leaders.
  • Research & Innovation Opportunities
    • Encouragement to participate in data challenges, hackathons, and research projects.
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Scope of the Course

Career Opportunities-Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, Data Engineer, AI/ML Developer

IT & Software Development, E-commerce & Retail

Healthcare & Pharmaceuticals

Entrepreneurship

Higher Studies & Certifications

Skill Development

Add-on Courses

Excel Mastery

An Excel Mastery Add-on Course is designed to provide in-depth knowledge and advanced skills in Microsoft Excel.

Power BI

A Power BI course is designed to help learners create interactive dashboards, analyze business data, and generate actionable insights using powerful visualization tools

Advanced Python

An Advanced Python course focuses on enhancing programming skills through object-oriented programming, automation, data handling, and real-world application development.

Machine Learning

A Machine Learning course introduces learners to algorithms, predictive models, and AI techniques used to build intelligent data-driven applications.
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Syllabus

Semester- I

  • Language Paper-I
  • English Paper-I
  • Core Course – I: Python Programming
  • Core Course – II: Python Programming Practical
  • EC – I Generic / Discipline Specific : Mathematics I
  • SEC- I: Office Automation
  • Basic Tamil-I (Other Language Students)
  • Advanced Tamil-I
  • FC: Fundamentals of Computers

Semester- II

  • Language Paper-II
  • English Paper-II
  • CC- III: Java Programming
  • CC- IV: Java Programming Practical
  • EC – II Generic / Discipline Specific : Mathematics II
  • SEC-II: Office Automation Practical
  • Basic Tamil-II (Other Language Students)*
  • Financial Accounting II
  • Advanced Tamil- II
  • SEC- III: Quantitative Aptitude

Semester- III

  • Language Paper-III
  • English Paper-III
  • CC- V: Data Structures
  • CC- VI: Data Structures Practical
  • EC – III Generic / Discipline Specific : Statistics I
  • SEC- IV: (Entrepreneurial Based): Web Page Design Practical
  • SEC- V: Desktop Publishing Practical
  • Environmental Science

Semester- IV

  • Language Paper-IV
  • English Paper-IV
  • CC- VII: Data Science Essentials
  • Practical – IV Open Source Technologies Lab
  • CC-VIII: Data Science using Python Practical
  • EC – III Generic / Discipline Specific : Statistics II
  • SEC-VI: Emotional Intelligence
  • SEC-VII: Technical Writing
  • Environmental Science

Semester- V

  • CC- IX: Data Visualization
  • CC- X: Data Visualization Practical
  • CC- XI: R Programming
  • CC- XII: R Programming Practical
  • EC -V: Computer Networks / Software Engineering / Computing System Fundamentals
  • EC -VI: Cloud Computing / Big Data Analytics / Data Mining and Warehousing
  • Value Education
  • Internship / Industrial Training (During summer vacation at the end of IV semester)

Semester- VI

  • CC – XIII: Data Analytics
  • CC – XIV: Data Analytics Practical
  • CC – XV: Natural Language Processing
  • EC -VII: Mobile Ad-hoc Network / Artificial Neural Networks / Grid Computing
  • EC-VIII: Internet of Things and its Applications / Robotics and Its Applications / Information Security
  • Professional Competency Skill Course: Mini Project
  • Extension Activity

Shaping Futures

Our Faculty Members

Dr. S. Alagu

Dr. S. Alagu

Dean of the Department
Mr. V. Karthikeyan

Mr. V. Karthikeyan

Head of the Department(Shift-2)
Ms.Bincy Mol

Ms.Bincy Mol

Lecturer
Mr.C.Charles

Mr.C.Charles

Lecturer
Mrs.Bhuvaneswari B

Mrs.Bhuvaneswari B

Assistant Professor
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Campus Events

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MoU

Memorandum Of Understanding

ICT Academy, Chennai

ICT Academy, Chennai

The School of Computational studies, Hindustan College of Arts & Science, Chennai signed an MOU with ICT Academy, Chennai on 17th August 2022. This collaboration aims to enhance industry–academia engagement and digital skill development. The partnership focuses on training, workshops, and certification programs in emerging technologies

Asia Pacific University of Technology & Innovation, Malaysia

Asia Pacific University of Technology & Innovation, Malaysia

The School of Computational studies, Hindustan College of Arts & Science, Chennai signed an MOU with Asia Pacific University of Technology & Innovation, Malaysia on 01st November, 2023. This international collaboration aims to promote academic exchange and joint research in computing and technology. The partnership focuses on innovation, skill development, and global exposure in emerging digital domains.

Presidency University, Bangalore

Presidency University, Bangalore

The School of Computational studies, Hindustan College of Arts & Science, Chennai signed an MOU with Presidency University, Bangalore on 01st November, 2023 for imparting exchange of knowledge expertise through conferences, workshops and internship which will be of immense mutual and societal benefit.

Still Have Doubts

Frequently Asked Questions

1. What is the difference between B.Sc. Computer Science and B.Sc. Computer Science with Data Science?
  • B.Sc. Computer Science covers general computing principles such as software development, algorithms, databases, and networking.
  • B.Sc. Computer Science with Data Science includes additional subjects like data mining, big data analytics, AI, and statistical modeling, with a focus on data-driven decision-making
2. Do I need prior programming knowledge?
Not necessarily, but having basic programming experience in Python, Java, or SQL can be helpful.
3. Will I learn AI and Machine Learning?
Yes! Machine learning, deep learning, and AI techniques are core components of data science and are covered in the curriculum.
4. What job roles can I get after completing this degree?
Graduates can work in various roles such as:
  • Data Scientist
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Data Analyst
  • Big Data Engineer
  • AI & Data Engineer
5. Can I pursue higher studies after this degree?
Yes! You can pursue:
  • M.Sc. in Data Science, Machine Learning, or AI
  • M.Sc. Machine Learning
  • M.Sc. AI
  • M.Sc. in Computer Science
  • M.Sc. in Information Technology
  • MCA(Master of Computer Applications)
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