Bachelor of Computer Applications - Data Science
The BCA in Data Science at Christ Academy Institute for Advanced Studies (CAIAS) is an innovativeundergraduate program designed to provide students with the skills needed to analyse, interpret, and visualise complex data. The course covers key areas such as data mining, statistical analysis, machine learning, and big data technologies.
Students gain practical experience by working on real-world datasets and solving industry – relevant problems, preparing them to make data – driven decisions in various sectors. The curriculum integrates theoretical knowledge with hands – on projects, ensuring that graduates are well – equipped for careers in data analysis, business intelligence, and analytics.
This program is ideal for students passionate about data and looking to harness the power of data science to drive business insights and innovation.
Highlights
- Interdisciplinary approach combining statistics, computer science, and business.
- Practical projects and internships to gain industry - relevant experience.
- Opportunities to work with real-world data sets and analytics tools.
- Guest lectures from industry professionals and data scientists.
- Opportunities to work with real-world data sets and analytics tools.
- Strong industry partnerships for enhanced placement opportunities and career growth.
Syllabus
Semester I
- Discrete Structures
- Problem – Solving Techniques
- Computer Architecture
- Problem – Solving Techniques Lab
- Computer Architecture Lab
- Office Automation Tools Lab
- Language L1
- Language L2
- Environmental Studies
Semester II
- Data Structures
- Object – Oriented Programming using Java
- Operating Systems
- Data Structures Lab
- Object-Oriented Programming Lab
- Linux and Shell Programming Lab
- Language L1
- Language L2
- The Constitution of India
Syllabus -Data Science
Semester I
- Introduction to Data Science
- Programming for Data Science
- AI Ethics and Governance
Semester II
- Statistics and Probability for Data Science
- Data Visualisation
- Data Preprocessing and Feature Engineering
Semester III
- Big Data and Cloud Computing for
- Data Science
- Introduction to Machine Learning
- Advanced Machine Learning
Semester IV
- Deep Learning
- Natural Language Processing (NLP)
- Database Knowledge for Data Science
Semester V
- IBM Global Certification ( Optional )
Semester VI
- IBM Global Certification ( Optional )
Eligibility
Completion of 12th grade (10+2) in any discipline from a recognised board, with a minimum aggregate of 60% in Mathematics or Accounting.
Fees Structure
Course Fee per year: Rs. 1,10,000/- (Application, Eligibility Fee & Registration fees excluded)
Steps to be followed for Admission Application:
Documents to be produced at the time of Admission:
- 10th, 11th & 12th Marks Card (Original + 2 Copies).
- Transfer Certificate from the Institution last attended (Original).
- Conduct Certificate (Original). Caste Certificate if SC / ST / OBC / Category 1 (2 Copies).
- Migration Certificate in Original for Non Karnataka Students & other Universities or Board.
- 3 passport size photographs.
- In addition to the above, NRI and Foreign Students should produce: Valid Passport Residential Permit from the Commissioner of Police Bengaluru (for foreign students only HIV Test Certificate).
