Data Analytics and Business
Intelligence - Powered By IBM

Data Analytics and Business
Intelligence - Powered By IBM

In today’s data-driven world, organizations across industries are seeking individuals with the expertise to extract valuable insights from vast amounts of data. The Bachelor of Computer Applications (BCA) in Big Data Analytics equips you with the knowledge and skills to become a data analytics expert capable of transforming raw data into actionable intelligence.

Data Analytics and Business Intelligence – Powered By IBM

Duration: Three Years | Full Time

Eligibility: 12th Pass, Any Stream

Program Highlights

Comprehensive Curriculum

  • Gain expertise in the entire data analytics lifecycle, from data collection to visualization.
  • Specialize in Big Data technologies and tools used in the industry.

Hands-on Learning

  • Engage in practical, hands-on projects using real-world datasets.
  • Work with industry-standard Big Data platforms and analytics tools.

Expert Faculty

  • Learn from experienced faculty members with a strong background in Big Data Analytics.
  • Stay updated with industry trends through faculty research and collaborations.

Industry-Relevant Projects

  • Work on industry-sponsored projects, solving real-world challenges in the field of Big Data Analytics.
  • Understand the importance of quick decision-making during security breaches.

Internship Opportunities

  • Apply theoretical knowledge in real-world settings through internships with leading organizations.
  • Apply theoretical knowledge in real-world settings through internships with leading organizations.
  • Gain practical experience and build a network within the industry.
What will you explore as part of the program?

Foundations of Data Analytics

  • Understand the fundamentals of data analysis, statistics, and data visualization.
  • Learn to derive meaningful insights from raw data.

Big Data Technologies

  • Explore Big Data ecosystems such as Hadoop, Spark, and NoSQL databases.
  • Develop skills to process, manage, and analyze large volumes of data.

Data Warehousing

  • Study the design and implementation of data warehouses for efficient data storage and retrieval.
    Machine Learning for Analytics
  • Apply machine learning algorithms for predictive analytics and pattern recognition.
  • Implement models to extract valuable insights from complex datasets.

Data Visualization

  • Learn tools and techniques for effective data visualization.
  • Communicate insights through compelling and informative visual representations.
Scholarships

1. Ajeenkya Genius Scholarship

2. ADYP Group Progression

3. Pune Pride Scholarship

4. ADYPU Divyang Excellence Scholarship

5. Khelo India Sports Delight Scholarship

6. My India Pride Scholarship

7. ADYPU Resilience Scholarship

8. ADYPU/ADYPG Employee Family Kids

9. Beti Padhao Scholarship

10. ADYPU Sibling Scholarship

11. ADYPU Entrance Talent Hunt Scholarship


Related Courses
How will you be taught?

Classroom Lectures

  • Attend lectures that provide a solid theoretical foundation in data analytics concepts.
  • Engage in discussions to deepen your understanding of key topics.

Practical Labs

  • Participate in hands-on lab sessions using Big Data tools and platforms.
  • Gain practical experience in implementing analytics solutions.

Case Studies

  • Analyze real-world case studies to understand the application of analytics in different industries.
  • Discuss solutions and strategies for effective problem-solving.

Industry Workshops

  • Attend workshops conducted by industry experts to learn about the latest tools and trends.
  • Collaborate on projects to solve industry-specific challenges.
How you will spend your time

Data Analysis

  • Dedicate time to analyze datasets, extract insights, and draw conclusions.
  • Work on assignments and projects to develop practical skills.

Lab Work

  • Spend time in computer labs working on hands-on projects and exercises.
  • Apply theoretical knowledge to solve real-world problems.

Research and Reading

  • Stay updated on the latest developments in Big Data Analytics through research and reading.
  • Explore academic papers and industry publications.

Internship Periods

  • Allocate time for internships to gain practical experience in a professional setting.
  • Apply classroom knowledge to real-world scenarios.
Activities for this program:

1. Big Data Hackathons:

  • Participate in hackathons to showcase your analytics and problem-solving skills.
  • Collaborate with peers to tackle complex challenges.

2. Industry Conferences:

  • Attend conferences and seminars on Big Data Analytics to network with professionals.
  • Stay informed about industry trends and emerging technologies.

3. Research Symposia:

  • Present research findings or participate in symposia to share insights with the academic community.
  • Engage in discussions with researchers and industry experts.

4. Data Analytics Club:

  • Join or establish a Data Analytics club to foster collaboration among students.
  • Organize events, workshops, and knowledge-sharing sessions.
Career & Opportunities:

Data Analyst
Big Data Engineer
Business Intelligence Analyst
Data Scientist
Database Administrator
Big Data Consultant

Next Steps
Explore Undergraduate Programs
Get in Touch
How to apply