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BE Computer Science and Engineering Big Data and Analytics IBM CU Collaboration

Overview, Course Info, Colleges and Fees, Jobs and Salary, Study Path, Resources

Explore BE in Computer Science with Big Data & Analytics (IBM CU). Gain expertise in data analysis, machine learning, and cloud computing. Prepare for a tech-driven future.

Average Salary

₹ 7,00,000 /-

Career Growth

High

Course Demand

High

What is BE Computer Science and Engineering with Big Data and Analytics (IBM CU Collaboration)?

BE Computer Science and Engineering (CSE) with a specialization in Big Data and Analytics, offered in collaboration with IBM and Chandigarh University (CU), is a 4-year undergraduate program designed to equip students with the skills and knowledge needed to excel in the rapidly growing field of data science. This program combines core computer science principles with specialized training in big data technologies and analytical techniques. Students learn to manage, process, analyze, and visualize large datasets using cutting-edge tools and platforms.

Key Highlights:

  • IBM Collaboration: Curriculum co-created and delivered with IBM experts, ensuring industry relevance.
  • Big Data Focus: In-depth knowledge of Hadoop, Spark, NoSQL databases, and other big data technologies.
  • Analytics Expertise: Training in statistical modeling, machine learning, data mining, and data visualization.
  • Hands-on Experience: Practical projects, case studies, and internships to apply learned concepts.
  • Career Opportunities: Graduates are prepared for roles such as data scientist, data analyst, big data engineer, and business intelligence analyst.

This program is ideal for students who are passionate about technology, have strong analytical skills, and are interested in solving real-world problems using data.

Why Choose BE CSE with Big Data and Analytics (IBM CU Collaboration)?

Choosing a BE in Computer Science and Engineering with a specialization in Big Data and Analytics, in collaboration with IBM and Chandigarh University, offers several compelling advantages for aspiring tech professionals, especially in the Indian context. Here's why:

  • High Demand: Big data and analytics skills are highly sought after by companies across various sectors in India, including IT, finance, healthcare, and e-commerce.
  • Industry-Relevant Curriculum: The IBM collaboration ensures that the curriculum is aligned with the latest industry trends and technologies, giving graduates a competitive edge.
  • Enhanced Job Prospects: The specialized training in big data and analytics opens up a wide range of career opportunities with attractive salaries.
  • Practical Skills Development: The program emphasizes hands-on learning through projects, case studies, and internships, enabling students to apply their knowledge in real-world scenarios.
  • IBM Certification: Graduates may have the opportunity to earn IBM certifications, further enhancing their credibility and marketability.
  • Chandigarh University Reputation: CU is a well-regarded institution known for its strong engineering programs and industry connections.
  • Future-Proof Career: Data is becoming increasingly important in all aspects of business and society, making big data and analytics a future-proof career choice.

By choosing this program, students can gain the skills and knowledge needed to thrive in the data-driven economy and make a significant impact in their chosen fields.

Highlights of BE Computer Science and Engineering with Big Data and Analytics (IBM Collaboration)

The Bachelor of Engineering (BE) in Computer Science and Engineering with a specialization in Big Data and Analytics, offered in collaboration with IBM, is designed to equip students with the skills and knowledge needed to excel in the rapidly growing field of data science. This program provides a comprehensive understanding of computer science principles combined with specialized training in big data technologies and analytical techniques. Key highlights include:

  • Industry-Relevant Curriculum: Developed in collaboration with IBM, ensuring the curriculum aligns with current industry needs and trends.
  • Hands-on Experience: Extensive lab work and projects using industry-standard tools and platforms like Hadoop, Spark, and cloud-based services.
  • Expert Faculty: Experienced faculty members and industry experts from IBM provide guidance and mentorship.
  • Focus on Big Data Technologies: In-depth coverage of big data technologies, including data mining, machine learning, and data visualization.
  • Real-World Case Studies: Application of theoretical concepts to real-world problems through case studies and simulations.
  • IBM Certification: Opportunities to earn IBM certifications, enhancing career prospects.
  • Internship Opportunities: Access to internships with leading companies in the data science domain.
  • Career-Oriented Approach: Focus on developing skills that are highly sought after by employers in the big data and analytics industry.
Job Opportunities in Big Data and Analytics After BE CSE (IBM Collaboration)

Graduates with a BE in Computer Science and Engineering specializing in Big Data and Analytics, especially with IBM collaboration, have access to diverse job opportunities. The curriculum is designed to meet industry demands, making graduates highly employable. Key areas of employment include:

  • IT Companies: TCS, Infosys, Wipro, HCL, IBM, Accenture, Capgemini are major recruiters.
  • E-commerce: Amazon, Flipkart, Myntra, and other e-commerce giants require data analysts and scientists.
  • Finance: Banks and financial institutions like HDFC, ICICI, and SBI use big data for risk management and customer analytics.
  • Healthcare: Hospitals and healthcare providers use data analytics for patient care and operational efficiency.
  • Consulting: Firms like McKinsey, BCG, and Deloitte hire data experts for client projects.
  • Startups: Numerous startups in the data analytics space offer exciting opportunities.

Key Skills Employers Seek:

  • Programming languages: Python, R, Java
  • Big data tools: Hadoop, Spark, Hive
  • Database management: SQL, NoSQL
  • Machine learning: scikit-learn, TensorFlow
  • Cloud computing: AWS, Azure, GCP
  • Data visualization: Tableau, Power BI

The IBM collaboration ensures that students are well-versed in IBM's technologies and platforms, giving them a competitive edge in the job market. Internships and projects with IBM further enhance their practical skills and industry exposure.

Highlights

Job Opportunities

FAQs
What is BE Computer Science and Engineering with a specialization in Big Data and Analytics in collaboration with IBM at Chandigarh University?
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