Eligibility:
Fresh 10+2 pass out students or aspirants seeking a career in Computer Applications.
Applicant must possess sufficient knowledge and understanding of English language & communication.
Candidates who have not studied in English for at least three (3) years in their academic qualifications are not eligible.
Appropriate for aspirants who want to explore career opportunities in private/public sector organizations in industries including IT & ITES, Financial Services, and more, as Computer Programmer, Information Security Analyst, Network and Test Engineer, Database Administrator, Quality Assurance Engineer, Customer/Helpdesk/Technical Support Engineer, among others.
Learners who want to build the academic foundation to pursue higher education in the subject or professional courses to excel in the Technology domain.
Key Features:
Academic: | Student Services: |
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This BCA program with a specialization in Data Engineering is imparted in collaboration with HCL Technologies. It focuses on merging core computer science principles with practical data management and processing skills. Students begin with foundational courses covering programming languages, data structures, and database management systems. Then, they advance into specialized data engineering topics such as data modeling, data warehousing, and big data technologies. Throughout the program, students gain hands-on experience with tools and platforms commonly used in data engineering, such as Hadoop, Spark, and Apache Kafka. They learn to design and build data pipelines, integrate data from various sources, and ensure the reliability and efficiency of data workflows. Practical projects and internships provide students with real-world exposure, allowing them to apply their data engineering skills to solve practical challenges. Upon completion of the program, graduates are well-prepared for roles as data engineers, data architects, or database administrators, equipped to design, build, and manage robust data infrastructure to support the needs of modern organizations. |
Post enrolment services through a dedicated Student Relationship Manager. Totally Online Admission Process including uploading of eligibility documents. Multiple fee payment options, including no-cost EMI from Fee Financing companies. Dedicated Career Support & Virtual Job Fairs With 100+ Hiring Partners. |
Curriculum:
SEMESTER 1 | Basic Mathematics- I Business Communication Computer and Information Technology Human Computer Interaction Programming in C |
SEMESTER 2 | Data Structures using C Environmental Studies Individual Excellence and Social Dynamic Operating System Concepts Software Engineering and Modeling |
SEMESTER 3 | Introduction to Data Base Management Systems Computational Statistics Green Computing Network Basics Object Oriented Programming using Java |
SEMESTER 4 | Unix Operating System and Shell Programming Python Programming Fundamentals of Data and Data Management Data Engineering Fundamentals Understanding of Big Data and its Application |
SEMESTER 5 | Introduction to Artificial Intelligence Fundamentals of Ecommerce Professional Ethics Understanding Statistical Concepts for Data Transformation Exploratory Data Analysis and Visualisation using Python |
SEMESTER 6 | Major Project PySpark Data Analytics and Visualisation Introduction to Cloud (AWS) Cloud Data Engineering |
Fee Details:
Full Fee: Rs. 207000.00
Fee per year: Rs. 71250.00
Fee per semester: Rs. 37500.00
Disclaimer:
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