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Online MCA in Information Systems

Master of Computer Applications Specialization Track in Information Systems

Specialization: Information SystemsOnline / Distance2 YearsAvg: 1,20,000Intake: January, JulyLast Updated: 8 Oct, 2026

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 Information Systems focuses on domain-specific core competencies, practical industry workflows, and career-oriented learning.

Career Outcomes

Career Scope & Salary in Information Systems

Leading job designations, recruitment domains, and salary compensation after graduating in Information Systems.

Network Engineer

₹2.4 - ₹23 LPA

A network engineer designs, implements, and maintains an organization's computer networks to ensure they are efficient, secure, and reliable. Key responsibilities include configuring routers, switches, and firewalls, monitoring network performance, troubleshooting outages, and enforcing security protocols. They also collaborate with IT teams on network upgrades and infrastructure improvements.

Cybersecurity Analyst

₹3.5 - ₹20 LPA

A cybersecurity analyst protects an organization's computer systems, networks, and data by monitoring for threats, responding to security incidents, and implementing security measures like firewalls and encryption. They also perform risk assessments and vulnerability testing to identify and patch weaknesses before they can be exploited.

AI And Machine Learning Engineer

₹5 LPA to ₹12 LPA

An AI/ML Engineer job description involves developing, testing, and deploying AI and machine learning models into production systems that are high-quality and scalable. Key responsibilities include designing and implementing algorithms, cleaning and preprocessing data, optimizing models, and collaborating with cross-functional teams to integrate AI solutions into applications. Essential skills often include proficiency in programming languages like Python, strong software engineering fundamentals, experience with ML frameworks and libraries, and knowledge of cloud platforms and MLOps practices.