About Course

The BCA (Data Science) is a three-year undergraduate program designed to build strong foundations in computer applications while developing expertise in data analytics, statistical modeling, and machine learning. The curriculum integrates core subjects such as programming, database management systems, web technologies, and software engineering with specialized modules in data mining, big data technologies, predictive analytics, and business intelligence.

Students gain hands-on experience working with real-world datasets using tools such as Python, R, SQL, Tableau, and cloud-based analytics platforms. The program emphasizes project-based learning, case studies, and internships to ensure practical exposure to industry-driven data solutions.

As organizations increasingly rely on data for strategic planning and decision-making, skilled data science professionals are in high demand across sectors such as finance, healthcare, retail, logistics, and technology. This program prepares graduates to analyze complex datasets, develop predictive models, and generate actionable insights. Join Raisoni Education and build a future in data-driven innovation.

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Rawry | GHRU Amravati

Objectives of the Program

  • Develop strong programming and analytical skills required for data processing and statistical analysis.
  • Provide hands-on training in data visualization, machine learning models, and big data frameworks.
  • Enable students to design data-driven solutions for business and research applications.
  • Prepare industry-ready professionals through internships, live projects, and practical exposure to real datasets.

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

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Future of BCA ( Data Science)

₹8,00,000/Year* GHRU Amravati

Data science professionals with experience and strong analytical skills earn competitive salaries across industries in India.

34% Market Growth GHRU Amravati

The global data analytics and business intelligence market is expanding rapidly due to increasing digital transformation initiatives.

2.8 Million Jobs GHRU Amravati

Millions of career opportunities worldwide are emerging in data analytics, business intelligence, and AI-driven industries.

Core Skills

  • Python
  • R
  • SQL
  • Data Visualization
  • Machine Learning
  • Statistics
  • Tableau
  • Power BI
  • Big Data Analytics

Career Opportunities

Entry Level
  • Data Analyst
  • Business Intelligence Associate
  • Junior Data Scientist
  • Reporting Analyst
Mid Level
  • Data Scientist
  • Analytics Consultant
  • Data Engineer
  • Business Intelligence Developer
Senior Level
  • Senior Data Scientist
  • Analytics Manager
  • Data Architect
  • Chief Data Analyst

Future Studies Options

There are several postgraduate programs and degrees you can pursue after completing BCA (Artificial Intelligence), which are as follows:

MCA

For advanced specialization in software development and data-driven application systems.

M.Sc.

In Data Science, Artificial Intelligence, or Statistics for deeper analytical expertise.

MBA

For those aiming to move into business analytics leadership or technology management roles.

MS (International Programs)

In Data Analytics, Business Intelligence, or Applied Data Science for global career opportunities.

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FAQ

Is a mathematics background necessary for BCA in Artificial Intelligence?

A basic understanding of mathematics is helpful, and students with prior exposure to statistics or algebra will find early modules more comfortable. However, the program builds mathematical foundations from scratch, and no advanced prior knowledge is required for admission.

Graduates can work as machine learning engineers, data scientists, NLP developers, AI consultants, and business intelligence analysts across technology companies, healthcare firms, fintech organisations, e-commerce platforms, and global AI research labs.

Yes. Students are actively encouraged to pursue certifications such as Google ML Engineer, TensorFlow Developer, AWS AI Speciality, and IBM AI Engineering credentials alongside the BCA program to strengthen their technical profile and industry readiness.

Students receive hands-on training in Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Jupyter Notebook, OpenCV, and cloud AI platforms, equipping them with the exact toolkit demanded by the industry.

The program combines smart AI-enabled classrooms, dedicated machine learning labs, real-world project experience, industry mentorship sessions, and internship partnerships, ensuring every graduate steps into the workforce with practical capability and professional confidence.

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

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