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
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:
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.
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:
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.
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:
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:
Key Skills Employers Seek:
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.
Undergraduate Engineering Degree
BE Computer Science and Engineering with specialization in Big Data and Analytics offered in collaboration with IBM. This program provides in-depth knowledge and skills in computer science with a focus on big data technologies and analytical techniques.Four-Year Program
The BE Computer Science and Engineering program is a four-year undergraduate course, typically divided into eight semesters. This duration ensures comprehensive coverage of core computer science subjects and specialized topics in big data and analytics.Semester-wise Evaluations
The examination type usually involves a combination of continuous internal assessments (such as quizzes, assignments, and mid-semester exams) and end-semester examinations. Practical assessments and project evaluations are also integral parts of the evaluation process.10+2 with PCM
Candidates must have completed 10+2 or equivalent with Physics, Chemistry, and Mathematics as compulsory subjects from a recognized board. A minimum aggregate score is typically required, which may vary depending on the institution.Entrance Exam Based
Admissions are generally based on performance in national or state-level engineering entrance exams such as JEE Main, JEE Advanced, or other relevant entrance tests conducted by the respective universities or colleges. Some institutes might also have their own entrance exams and interview rounds.Varies by Institution
The course fee varies significantly depending on the college or university. Government institutions or state-funded universities generally have lower fees compared to private institutions. The fee structure may also include additional charges such as examination fees, library fees, and other miscellaneous expenses.IBM, TCS, Accenture
Top recruiters include leading IT companies, consulting firms, and technology providers such as IBM, Tata Consultancy Services (TCS), Accenture, Infosys, Wipro, and other multinational corporations. These companies offer roles in data analytics, software development, and IT consulting.CU and Affiliated Colleges
Top colleges offering this program include Chandigarh University (CU) and its affiliated institutions. Other reputed engineering colleges across India may also offer similar programs in collaboration with IBM or other industry partners.Data Analyst, Engineer
Graduates can find job opportunities as Data Analysts, Big Data Engineers, Data Scientists, Business Intelligence Analysts, and IT Consultants. These roles involve analyzing large datasets, developing data-driven solutions, and providing insights to support business decision-making.Salary
₹8,00,000
Analyze complex data, develop predictive models, and provide actionable insights to drive business decisions using big data technologies....
Salary
₹7,50,000
Design, build, and maintain scalable big data infrastructure, ensuring efficient data processing and storage for analytics....
Salary
₹5,00,000
Collect, clean, and analyze data to identify trends, patterns, and insights, supporting data-driven decision-making processes....
Salary
₹6,00,000
Develop and maintain BI solutions, dashboards, and reports to provide stakeholders with valuable insights into business performance....
Salary
₹9,00,000
Develop and deploy machine learning models for various applications, leveraging big data and analytics techniques....
Salary
₹7,00,000
Manage and maintain big data databases, ensuring data integrity, security, and optimal performance for analytics and reporting....
Salary
₹8,50,000
Provide expert guidance to organizations on leveraging big data and analytics to improve business outcomes and solve complex problems....