
Online MCA in Data Management
Master of Computer Applications Specialization Track in Data Management
The 2-year online MCA program from Chandigarh University Online offers specializations in AI/ML, Cloud Computing, Full Stack Development, and Data Analytics. It equips learners with skills in system programming, database management, networking, web design, and advanced technologies like Python, Java, PHP, Cloud Computing, and Data Analysis to build global IT competence and boost career growth. The specialized track in Data Management focuses on domain-specific core competencies, practical industry workflows, and career-oriented learning.
Career Scope & Salary in Data Management
Leading job designations, recruitment domains, and salary compensation after graduating in Data Management.
Data Architect
₹17.5 - ₹56 LPAA data architect designs and manages an organization's data infrastructure, creating blueprints for how data is collected, stored, and used. They are responsible for building scalable, secure, and efficient data models, warehouses, and streams to meet business goals. Their work involves translating business requirements into technical data strategies, ensuring data integrity and compliance, and collaborating with teams like data engineers and analysts.
Systems Analyst
₹13.0 - ₹45.1 LPAA system analyst job description involves analyzing an organization's current IT systems and needs to design and implement new solutions. Key responsibilities include gathering requirements from stakeholders, translating business needs into technical specifications, testing and troubleshooting systems, and training end-users. They act as a liaison between IT and business departments to bridge the gap between technical possibilities and business goals.
Data Scientist
₹13 -18 LPAA data scientist job description involves collecting, cleaning, and analyzing large datasets to uncover insights and build predictive models using machine learning and statistics. They must communicate findings to stakeholders through reports and visualizations and collaborate with cross-functional teams to drive data-driven decisions.