Creating the Leaders Behind
Every Successful Operation.

Turn Raw Data into Real-World Impact.

3 Years Full Time
Raisoni Education
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About Course

The BCA in Data Science at Raisoni Education provides comprehensive knowledge in data analytics, statistical computing, machine learning, database management, data visualisation, and business intelligence systems. The program emphasises practical learning through advanced computing laboratories, live data science projects, industry-standard analytical tools, and real-world exposure to prepare students for careers in data analytics, technology, business intelligence, healthcare informatics, financial analytics, and data-driven industries.

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Kimba | Raisoni Education

Objectives of the Program

  • Build a strong foundation in operations, supply chain management, logistics, procurement, and business analytics.
  • Develop practical skills in ERP systems, forecasting, inventory management, and data-driven decision-making.
  • Train students to optimise operations, manage suppliers, and improve supply chain efficiency.
  • Foster strategic thinking, global business awareness, sustainability, and innovation.
  • Prepare graduates for careers, certifications, and entrepreneurship in manufacturing, logistics, and e-commerce.

Study at Raisoni Education for a successful future & drive your career in the right direction with our BCA in Data Science Program

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Future of BCA in Data Science Professionals

₹7,50,000/Year* Raisoni Education

Professionals in Data Science earn competitive salary packages based on skills, experience, and area of specialisation.

35% Industry Growth Raisoni Education

The data science, business analytics, artificial intelligence, machine learning, and big data sectors are among the fastest-growing globally with increasing demand for data science professionals across technology, healthcare, finance, retail, and government industries.

14 Lakh+ JobsRaisoni Education

Career opportunities are available across technology companies, banking and financial institutions, e-commerce platforms, healthcare organisations, consulting firms, research institutions, government data bodies, and data-driven startups worldwide.

Eligibility Criteria

Admission Procedure

Step 1: Admission Notification
  • Admission details are announced through official communication channels and admission notifications.
Step 2: Application Submission
  • Submit the application form along with required academic documents.
Step 3: Shortlisting & Selection
  • Eligible candidates are shortlisted based on academic qualifications and admission criteria.
Step 4: Document Verification
  • Selected candidates must complete document verification and submit required certificates.
Step 5: Enrollment Confirmation
  • Admission is confirmed after successful verification and fee submission.
Application Rejection:

Applications may be rejected under the following circumstances:

  • Failure to satisfy prescribed eligibility criteria.
  • Submission of incomplete application forms or incorrect details.
  • Non-payment of admission or application fees within the specified timeline.
  • Failure to submit mandatory documents during verification.
  • Submission of forged or misleading information/documents.
  • Violation of university admission rules or disciplinary guidelines.

The institution reserves the authority to cancel or reject admission if discrepancies are identified at any stage of the admission process.

Required Documents:
  • 10th & 12th Mark Sheets and Passing Certificates
  • Transfer Certificate (TC) & Migration Certificate
  • Domicile / Nationality Certificate
  • Caste Certificate (if applicable)
  • Aadhar Card (identity proof)
  • Passport-size photographs (recent)
  • Gap Certificate (if applicable)

Core Skills

  • Data Science Fundamentals & Methodology
  • Statistical Analysis & Probability
  • Python & R Programming for Data Science
  • Machine Learning & Predictive Modelling
  • Data Wrangling & Data Preprocessing
  • Data Visualisation & Reporting Tools
  • SQL & Database Management Systems
  • Big Data Technologies & Cloud Platforms
  • Business Intelligence & Dashboard Design
  • Natural Language Processing Basics
  • Deep Learning & Neural Network Fundamentals
  • Analytical & Problem-Solving Skills
  • Research and Development Skills
  • Project Management & Teamwork

Career Opportunities

Entry Level
  • Junior Data Analyst
  • Data Science Trainee
  • Database Administrator
  • Reporting & MIS Analyst
Mid Level
  • Data Scientist
  • Business Intelligence Analyst
  • Machine Learning Engineer
  • Data Engineering Specialist
Senior Level
  • Senior Data Scientist
  • Data Analytics Architect
  • Chief Data Officer (CDO)
  • Research & Development Engineer

Future Studies

After completing BCA in Data Science, graduates can pursue the following advanced programs and professional certifications:

MCA in Data Science or Artificial Intelligence
M.Sc. / M.Tech. in Data Science or Computer Science
MBA in Business Analytics or Data-Driven Management
Certification Courses in Python, TensorFlow, Power BI, Tableau, and Google Data Analytics
Advanced Training in AI Engineering, MLOps, and Big Data Architecture

Course Available at College

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FAQ

Which industries hire operations & supply chain graduates?

FMCG, manufacturing, retail, e-commerce, healthcare, logistics, automotive, and many other sectors.

No. Basic analytical and numerical skills are sufficient, and quantitative concepts are taught practically.

Yes. Students gain exposure to SAP SCM, Oracle SCM, Power BI, WMS, and forecasting tools.

Yes. Supply chain expertise is globally relevant, creating opportunities with multinational companies worldwide.

It offers specialised training in operations, logistics, procurement, and supply chain management, making graduates industry-ready from day one.

Kimba | Raisoni Education

Applications of admission are now
open for academic year 2026-2027

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