Online MCA in Artificial Intelligence & Data Science

Designs IT solutions for business

Advises on tech strategy and implementation

Builds applications and systems

Manages data storage and security

Creates websites and web apps

AI Engineers design and implement AI-based solutions like chatbots, recommendation systems, and automation tools.

ML engineers create algorithms that allow computers to learn from data and make decisions.

Data Scientists combine AI, ML, and analytics to solve business problems using data.

Deep Learning Engineers work on advanced AI tasks like face recognition, speech-to-text, object detection, etc.

Data Analysts interpret data to help companies make informed decisions and identify trends or patterns.

Business Analysts use data insights to improve business processes, products, and services.

Develops dashboards, reports, and visualizations to help management understand business performance.

Manages and processes large-scale datasets using big data technologies like Hadoop and Spark.

Handles complete web application development (front-end and back-end)

Builds dynamic web applications

Develops low-level software like operating systems, compilers, device drivers, and utilities. Optimizes system performance using architecture concepts.

Writes firmware for devices, appliances, and industrial machines. Requires knowledge of CPU design, instruction sets, and memory access.

Designs and tests hardware components such as CPUs, memory modules, and motherboards. Optimizes performance using knowledge of instruction sets, registers, and memory hierarchy.

Programs microcontrollers, IoT devices, and embedded systems. Uses understanding of processor architecture, memory management, and I/O operations.

A Business Intelligence (BI) Analyst is responsible for transforming raw data into actionable insights to help organizations make informed decisions. Their duties include gathering and analyzing data, creating reports and dashboards using tools like SQL, Excel, Power BI, and Tableau, and presenting findings to stakeholders to improve business strategy and operations.

Builds dashboards and business intelligence reports

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.

A 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.

Builds data pipelines, manages large databases, works with Hadoop, Spark, AWS/Azure, ensures data availability for analytics.

Builds AI systems like chatbots, recommendation systems, NLP models, and autonomous decision-making algorithms.

Creates dashboards, reports, and insights using business data. Helps companies track performance and strategy.

Performs data cleaning, analysis, dashboards, business reporting using SQL, Python, Power BI/Tableau.

Creates smart robots, automation systems & AI-driven robotic functions.

Handle data visualization, reporting, and stakeholder communication.

Develop predictive models and business insights.

Integrate business knowledge with analytics for decision-making.