
Online M.Sc in Artificial Intelligence Finance
Master of Science Specialization Track in Artificial Intelligence Finance
Chandigarh University Online offers a two-year online Master’s program in Data Science and Mathematics designed to provide both theoretical knowledge and practical skills. The program covers key areas like data engineering, analytics, big data, and social data analysis while strengthening mathematical reasoning and quantitative skills. With expert-led instruction, real-world projects, and an industry-relevant curriculum, the program prepares learners for roles such as data engineer, data scientist, or data analyst in business, finance, research, and technology sectors. The specialized track in Artificial Intelligence Finance focuses on domain-specific core competencies, practical industry workflows, and career-oriented learning.
Career Scope & Salary in Artificial Intelligence Finance
Leading job designations, recruitment domains, and salary compensation after graduating in Artificial Intelligence Finance.
FinTech AI Specialist
9–16 LPADevelops AI-powered fintech and financial automation solutions.
AI Finance Analyst
8–14 LPAUses AI models for financial forecasting, risk analysis, and investment decisions.
Risk Analytics Manager
9–15 LPAApplies AI to credit risk, fraud detection, and financial risk management.
Quantitative Analyst
10–20 LPABuilds algorithmic trading and financial modeling systems
Robotics Engineer
₹6-12 LPAA robotics engineer's job description includes designing, building, testing, and maintaining robotic systems by integrating mechanical, electrical, and computer engineering principles. They develop prototypes, write code to control robot behavior, and solve problems by troubleshooting hardware and software issues. Responsibilities also involve research, cost estimation, system installation, and ensuring robots are safe, reliable, and meet project requirements.
AI Solution Architect
₹34.1 - ₹67.6 LPAAn AI Solution Architect designs and oversees the implementation of AI systems to meet business objectives, acting as a bridge between strategy and technical execution. They design the overall architecture, ensuring solutions are reliable, scalable, and secure, while also managing data pipelines, model deployment, and integration with existing technologies. Key responsibilities include collaborating with stakeholders, ensuring ethical and compliant implementation, and staying current with AI technologies.
AI Engineer
₹5-12 LPAAn AI engineer designs, builds, and deploys AI and machine learning models, requiring a mix of software development, data science, and programming expertise. Key responsibilities include analyzing data, creating and training algorithms, optimizing model performance, and integrating AI solutions into production environments through APIs or embedded code. They also collaborate with cross-functional teams, manage AI infrastructure, and ensure ethical AI practices are followed.