B.Sc Computer Science with Data Science
Avichi College of Arts and Science offers a specialized 3-year B.Sc Computer Science with Data Science program in Chennai, designed to provide comprehensive education and training in computer science with a focus on data science and analytics.
Admission Registration
Why Choose Avichi ?
The B.Sc Computer Science with Data Science program at Avichi College of Arts and Science is meticulously designed to offer an in-depth understanding of computer science fundamentals, coupled with specialized knowledge in data science, machine learning, and big data analytics. Our curriculum ensures that students gain both theoretical knowledge and practical skills essential for leveraging data-driven insights in various industries.
In addition to rigorous classroom instruction, we emphasize experiential learning through internships, projects, and industry collaborations. These opportunities allow students to apply their learning in real-world data science environments, gain hands-on experience with industry tools and techniques, and build a professional network.
Upon completing the B.Sc Computer Science with Data Science program at Avichi College, students are equipped with advanced skills in programming, data analysis, statistical modeling, and machine learning. They are well-prepared to tackle complex data challenges and drive innovation in data-driven decision-making processes.
Best B.Com Course in Chennai
Comprehensive Training
Covers computer science fundamentals, data structures, algorithms, machine learning, and big data analytics.
Practical Emphasis
Focuses on hands-on projects and real-world applications in data science.
Analytical Skill Development
Nurtures critical thinking and problem-solving abilities essential for data-driven roles.
B.Sc Computer Science with Data Science Highlights
- Specialized Training: Our program integrates computer science with data science, providing a solid foundation for careers in data analysis, machine learning, and artificial intelligence.
- Industry-Relevant Curriculum: We collaborate closely with industry experts to ensure that our curriculum reflects the latest advancements and industry trends in data science.
- Career Readiness: Graduates are prepared for roles such as data scientist, data analyst, machine learning engineer, and business analyst in various sectors including IT, finance, healthcare, and e-commerce.
- Experiential Learning: Students gain practical experience through internships and projects, enhancing their employability and readiness for the workforce.
Career Options AfterB.Sc Computer Science with Data Science
B.Sc Computer Science with Data Science graduates have diverse career opportunities in data-driven roles across industries such as finance, healthcare, retail, telecommunications, and government. They can pursue careers as data scientists, data analysts, machine learning engineers, business analysts, and more, contributing to data-driven decision-making and innovation.
B.Sc Computer Science with Data Science Eligibility Criteria
Successful completion of the Higher Secondary Examination conducted by the Government of Tamil Nadu, or an equivalent examination recognized by the University of Madras, with subjects in Commerce, Accountancy, and Mathematics/Business Mathematics.
B.Sc Computer Science with Data Science - First Year Subjects
B.Sc Computer Science with Data Science - First Semester Subjects
The B.Com Computer Science with Data Science program integrates commerce with modern data science techniques, equipping students with analytical and programming skills.
- Core subjects include Introduction to Data Science and Data Science using Python Lab, providing hands-on experience in data analytics and programming.
- Mathematics-I strengthens the quantitative skills essential for data interpretation and business decision-making.
- English for Physical Science enhances communication skills tailored to commerce and tech-oriented studies.
- Students also have language options, including Tamil/Other Languages and Basic/Advanced Tamil or NME, ensuring a well-rounded academic foundation.
| Part | Subject Name | CIA | External | Total |
|---|---|---|---|---|
| I | Tamil/ Other languages – I | 25 | 75 | 100 |
| II | BP2-ENG01 – Communicative English I | 25 | 75 | 100 |
| III | BCD-DSC01 – Introduction to Data Science | 25 | 75 | 100 |
| III | BCD-DSCP1 – Data Science using Python Lab | 40 | 60 | 100 |
| III | BMA-CSA01 – Allied I: Mathematics-I@ | 25 | 75 | 100 |
| IV | Basic Tamil/Advanced Tamil/NME I* | 25 | 75 | 100 |
| IV | BP4-EPSC01 – English for Physical Science I | 50 | 50 | 100 |
B.Sc Computer Science with Data Science - Second Semester Subjects
The Semester II syllabus for B.Sc Computer Science with Data Science is designed to provide students with a strong foundation in programming, data structures, and mathematical concepts. This semester introduces Java and Data Structures, offering both theoretical and practical exposure to enhance programming skills. The Data Structures using Java Lab allows students to apply their knowledge in real-time problem-solving.
The Mathematics II course strengthens analytical and problem-solving skills essential for data science applications. Communicative English II helps students refine their language and communication skills, while Tamil/Other Languages II provides a deeper understanding of regional or additional languages. The inclusion of English for Physical Science II enhances technical reading and comprehension abilities, crucial for understanding scientific concepts.
| Part | Subject Name | CIA | External | Total |
|---|---|---|---|---|
| I | Tamil/ Other languages – II | 25 | 75 | 100 |
| II | BP2-ENG02 – Communicative English II | 25 | 75 | 100 |
| III | BCE-CSC05 – Java and Data Structures@ | 25 | 75 | 100 |
| III | BCE-CSC06 – Data Structures using Java Lab@ | 40 | 60 | 100 |
| III | BMA-CSA02 – Allied II: Mathematics II@ | 25 | 75 | 100 |
| IV | Basic Tamil/Advanced Tamil/NME-II* | 25 | 75 | 100 |
| IV | BP4-EPSC02 – English for Physical Science II | 50 | 50 | 100 |
B.Sc Computer Science with Data Science - Second Year Subjects
B.Sc Computer Science with Data Science - Third Semester Subjects
The Semester III syllabus for B.Sc Computer Science with Data Science is tailored to enhance students’ database management skills, statistical analysis, and professional communication. The Relational Database Management System (RDBMS) course introduces database design and SQL concepts, while the PL/SQL Lab ensures practical exposure to database programming.
The inclusion of Statistics I is crucial for data analysis and predictive modeling, forming a solid mathematical base for data science applications. Language Through Literature I refines language skills through literary analysis, improving both comprehension and writing abilities. The Soft Skills course enhances students’ interpersonal and professional communication, preparing them for team collaboration and corporate environments.
Additionally, Environmental Studies will be examined in Semester IV, ensuring students develop an understanding of sustainability and environmental responsibility.
| Part | Subject Name | CIA | External | Total |
|---|---|---|---|---|
| I | Tamil/ Other languages – III | 25 | 75 | 100 |
| II | BP2-ENG03 – Language Through Literature – I | 25 | 75 | 100 |
| III | BCE-CSC11 – Relational Database Management System | 25 | 75 | 100 |
| III | BCE-CSC13 – PL/SQL Lab | 40 | 60 | 100 |
| III | BST-CSA01 – Allied III: Statistics I | 25 | 75 | 100 |
| IV | Soft Skill | 50 | 50 | 100 |
| IV | Environmental Studies | Exam in Semester IV |
B.Sc Computer Science with Data Science - Fourth Semester Subjects
The Semester IV syllabus of B.Sc Computer Science with Data Science focuses on data analytics, statistical modeling, and communication skills, equipping students with practical data processing techniques.
The Data Analytics course covers data processing, visualization, and interpretation, while the Data Analytics Lab provides hands-on experience in data manipulation using modern tools. Statistics II deepens students’ understanding of probability, regression, and hypothesis testing, which are fundamental to data science.
The Language Through Literature II course builds on Semester III, refining analytical and language skills. Additionally, Soft Skills training ensures students develop confidence, teamwork, and leadership abilities, essential for career success. The inclusion of Environmental Studies reinforces eco-consciousness and sustainable development principles.
| Part | Subject Name | CIA | External | Total |
|---|---|---|---|---|
| I | Tamil/ Other languages – IV | 25 | 75 | 100 |
| II | BP2-ENG04 – Language Through Literature – II | 25 | 75 | 100 |
| III | BCD-DSC04 – Data Analytics | 25 | 75 | 100 |
| III | BCD-DSCP4 – Data Analytics Lab | 40 | 60 | 100 |
| III | BST-CSA02 – Allied IV: Statistics II@ | 25 | 75 | 100 |
| IV | Soft Skill | 50 | 50 | 100 |
| IV | Environmental Studies | 25 | 75 | 100 |
B.Sc Computer Science with Data Science - Third Year Subjects
B.Sc Computer Science with Data Science - Fifth Semester Subjects
Semester V of B.Sc Computer Science with Data Science advances students’ knowledge in system software, networking, and data representation while integrating hands-on learning.
The Operating Systems course provides a deep understanding of process management, memory allocation, and file systems. The Computer Networks course covers network protocols, data transmission, and cybersecurity, preparing students for the digital era.
The Data Visualization course enables students to present complex data interactively using various tools, with the Data Visualization Lab providing practical exposure to data storytelling. Students also select an Elective Course to tailor their learning, alongside a lab component for applied learning.
The semester also emphasizes ethics and human values through Value Education, ensuring students develop a strong moral and ethical foundation in their professional journey.
| Part | Subject Name | CIA | External | Total |
|---|---|---|---|---|
| III | BCE-CSC10 – Operating Systems | 25 | 75 | 100 |
| III | BCE-CSC09 – Computer Networks | 25 | 75 | 100 |
| III | BCD-DSC07 – Data Visualization | 25 | 75 | 100 |
| III | BCD-DSCP5 – Data Visualization Lab | 40 | 60 | 100 |
| III | Elective I – Choose any one from the list | 25 | 75 | 100 |
| III | Practical VI: Elective I Lab | 40 | 60 | 100 |
| IV | Value Education | 25 | 75 | 100 |
B.Sc Computer Science with Data Science - Sixth Semester Subjects
Semester VI focuses on cutting-edge technologies like Cloud Computing, IoT, and Machine Learning, ensuring students stay ahead in the evolving tech landscape.
The Introduction to Cloud Computing course provides insights into cloud architecture, virtualization, and deployment models. IoT and its Applications explores smart devices, IoT architecture, and real-world applications.
The Machine Learning course teaches data modeling, supervised and unsupervised learning algorithms, with a Machine Learning Lab for hands-on implementation of AI models.
Students also choose an Elective Course and complete a Mini Project, allowing them to apply their knowledge to real-world problems. Additionally, Extension Activities encourage students to engage in community service, social work, or outreach programs, earning one credit.
| Part | Subject Name | CIA | External | Total |
|---|---|---|---|---|
| III | BCE-CSC16 – Introduction to Cloud Computing@ | 25 | 75 | 100 |
| III | BCE-CSE2B – IoT and its Applications@ | 25 | 75 | 100 |
| III | BCD-CSC10 – Machine Learning@ | 25 | 75 | 100 |
| III | BCD-CSCP6 – Machine Learning Lab@ | 40 | 60 | 100 |
| III | Elective II – Choose any one from the list@ | 25 | 75 | 100 |
| III | BCE-CSC18 – Mini Project@ | 40 | 60 | 100 |
| V | Extension Activities | – | – | 1 |