Enhancing academic programs with hands-on, applied learning that bridges the gap between academic knowledge and industry readiness.
Academic learning with industry skill requirements.
Equip students with real-world tool proficiency.
Solve live business problems with practical exposure.
Learn directly from industry experts and leaders.
Gain industry-validated credentials beyond academics.
Students Trained
Students Mentored
University Partnerships
Countries Served
Build comprehensive industry expertise with applied learning courses integrated seamlessly into university programs.
Data Scientist
Dive into ML algorithms, model evaluation, and time series forecasting with real-world projects.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Financial Analyst
Build robust Excel-based financial models with valuation, forecasting, and scenario analysis skills for finance and investment roles.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Risk Manager
Master statistical and machine learning techniques to model risk, forecast trends, and enable data-driven decisions in finance.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Investment Banker
Master advanced Excel and dynamic financial models for valuation, forecasting, and investment decision-making in IB roles.
Key Highlights:
Duration: 38 Hours
Tools: Excel, Solver, Power Query
From:
Investment Banker
Gain expertise in derivatives pricing, analytics, and hedging strategies essential for trading and global markets roles.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Investment Banker
Learn quantitative risk modeling, regulatory frameworks, and portfolio risk assessment for investment banking environments.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Investment Banker
Develop equity valuation skills and build research reports using real-world case studies and financial modeling.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Investment Banker
Master M&A strategy, synergy analysis, and LBO modeling to evaluate and structure high-value deals.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Investment Banker
Learn advanced options strategies, Greek metrics, and hedging techniques essential for global markets roles.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Financial Analyst
Build robust Excel-based financial models with valuation, forecasting, and scenario analysis skills for finance and investment roles.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Financial Analyst
Develop expertise in financial forecasting and valuation models to assess business value and investment potential.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Financial Analyst
Apply statistical techniques and machine learning to risk modeling, financial forecasting, and investment analysis.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Financial Analyst
Create interactive dashboards for real-time financial insights using Power BI and advanced visualization tools.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Financial Analyst
Leverage Python for data analysis, risk modeling, and forecasting to enhance financial decision-making.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Financial Analyst
Understand global markets, asset classes, and trading strategies with a focus on risk-return analysis.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Risk Manager
Master statistical and machine learning techniques to model risk, forecast trends, and enable data-driven decisions in finance.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Risk Manager
Use Python to analyze financial data, model risks, and automate reporting for risk assessment and forecasting.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Risk Manager
Learn to model Value at Risk (VaR) and regulatory risk metrics under Basel 2.5 and FRTB frameworks in Excel.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Risk Manager
Master Python for advanced market risk modelling, covering VaR, expected shortfall, stress testing.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Risk Manager
Model credit risk using PD, LGD, EAD, and Basel standards, plus stress test and validate credit exposures.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Risk Manager
Learn CCR exposures, SA-CCR, CVA, IMM-CVA, and Wrong-Way Risk modeling using simulations and regulatory frameworks.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Risk Manager
Gain expertise in liquidity metrics (LCR, NSFR), stress testing, and FR 2052a regulatory compliance reporting.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Risk Manager
Hands-on training in FRTB-SA & IMA frameworks, ES modeling, and Basel III-compliant capital charge calculations.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Professional Trader
Build a strong foundation in market trends, price action, and indicators to make informed trading decisions.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Professional Trader
Master complex indicators, patterns, and trading psychology to refine precision trading strategies for dynamic markets.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Professional Trader
Learn to design systematic, data-driven trading strategies using statistical models, ML, and backtesting in Python.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Professional Trader
Develop and execute automated trading strategies using Python, with advanced modeling and risk management.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Professional Trader
Leverage NLP and deep learning to extract insights from text data and build AI-driven trading tools.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Master the core tools and libraries for data analysis, visualization, and machine learning in Python.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Data Scientist
Build a solid base in descriptive, inferential, and predictive statistics for real-world data insights.
Key Highlights:
Duration: 2 Weeks
Tools: Excel, Solver, Power Query
From:
Data Scientist
Dive into ML algorithms, model evaluation, and time series forecasting with real-world projects.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Data Scientist
Transform raw data into compelling visual stories and business insights with Power BI dashboards and analytics tools.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Data Scientist
Learn how to process, manage, and analyze massive datasets using cutting-edge big data tools and cloud platforms like AWS, Azure, and Google Cloud.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Data Scientist
Master the core models of AI and deep learning, from neural networks to advanced generative models using TensorFlow and PyTorch.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Data Scientist
Dive into the world of Natural Language Processing (NLP) to analyze and model human language using Python and deep learning frameworks.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Consultant
Master Excel for financial modeling, covering valuations, forecasting, and scenario planning to drive informed business decisions.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Consultant
Learn to build precise financial forecasts and apply valuation methods like DCF, LBO, and multiples to assess business value.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Consultant
Gain skills to analyze M&A deals, assess synergies, and structure leveraged buyouts (LBO) for value creation.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Consultant
Build dynamic, data-driven dashboards to visualize KPIs, automate reports, and improve business intelligence.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Consultant
Leverage Python to analyze data, build models, and automate business insights for consulting use cases.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Consultant
Understand global markets, asset classes, and strategies across equities, bonds, derivatives, commodities, and FX.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Consultant
Learn statistical techniques and predictive modeling for business decision-making using Python and advanced analytics.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Consultant
Master storytelling and structured presentation design to deliver client-ready, data-driven, and persuasive decks.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Consultant
Develop structured writing and data presentation skills to craft polished consulting and business reports.
Key Highlights:
Duration: 2 Weeks
Tools: Scikit-Learn, TensorFlow
From:
Demonstrate measurable expertise through certifications aligned with global standards.
Program: Credit Analysis
Program: Counterparty Credit Risk
Program: Applied Financial Modelling using Excel-VBA
Program: Market Risk Management with Python
Program: Valuation Modelling
Program: Comprehensive Commodity Option Program
Program: Algorithmic Trading and Strategies
Program: Valuation Modelling using Excel
Program: Applied Financial Modelling using Excel-VBA
Program: Comprehensive Commodity Option Program.
Program: SAS for Risk
Program: Model Risk Management
Program: Data Analytics in GST
Program: Financial Markets and Securities
Program: Market Risk Management
Industry Tracks are applied programs designed to complement academic learning with industry-relevant skills, tools and certifications.
They help bridge the gap between academic theory and industry requirements, improving student employability.
We cover BFSI, Analytics, Data Science, FinTech and Technology-focused programs.
Students gain applied learning, industry exposure, platform proficiency and certifications that boost career opportunities.
Industry practitioners with hands-on expertise and domain knowledge lead these sessions.
Yes, they are customized to complement academic programs while adding industry focus.
Industry-recognized certifications that validate skills beyond academics and enhance employability.
Yes, projects and internships simulate real-world problem-solving and experiential learning.
We facilitate partnerships for certifications, research labs and applied learning opportunities.
Yes, the tracks are adaptable across BBA, BCom, B.Tech., MBA and PG programs.
