Overview

As modern financial sciences increasingly turn to big data in order to improve financial and investment decisions. There is a growing demand for academicians and professionals with specialization in data science. This major equips you with data analytics skills which are in short supply and can be utilized in artificial intelligence applications and machine learning. Thus, data science is being used for many finance areas such as; customer data management, financial fraud detection, risk analytics, and algorithmic treading.

Big data streams influence financial and statistical modeling daily on ever increasing scale. It’s not just financial data that Impacts investment decisions, even data streams from social networks and search engine analytics can change how an investment matures. Therefore, financial and investment industry needs practitioners who have fundamental understanding of financial markets who can apply statistical modeling in context of the growing and increasingly complex, data available to financial firms.

Vision

The Finance and Data Science Program is based on the vision that data-driven financial analysis is essential for informed decision-making in today’s complex economic environment. The program emphasizes the importance of producing graduates who are skilled in both financial theory and data science tools, equipping them to lead in a world increasingly shaped by technology and analytics.

Mission

To graduate individuals proficient in integrating financial expertise with data-driven insights, enabling them to address complex financial challenges with precision. The program is committed to equipping students with advanced knowledge and practical skills in finance and data science, empowering them to make informed decisions and drive innovation in diverse economic and technological fields, while adhering to the highest professional and ethical standards.

Goals

  • To produce students with the ability to address the modern financial industry's need for utilizing big data in molding investment decisions and portfolios investment analysis, Methods in analysis public budgets, programming languages (e.g Python, R), and financial risk analytics.

  • Prepare students for various career opportunities in areas such as Mutual Fund management, Future and options contracts, Financial markets, Capital markets, Security dealing, and derivatives markets.

  • Develop expertise in Management consultancy, financial reporting, Budgeting, spending analysis, and Financial planning and forecasting.

  • Polish leadership skills to be key decision-makers in investment projects through capital budgeting techniques NPV, IRR, MIRR  at different financial fields.

  • Designing  plans and strategies for managing business and financial risks.

  • Provide training courses in data analysis for applications in investments, accountancy firms , central banks and other financial sectors.

  • Authorize students to analyze and interpret historical financial data from corporate and financial institutions effectively.

 

Careers of Graduates

After Student graduate from Finance and Data Science Program, they will have the skills to meet the modern financial industry’s demand for the use of big data to inform investment decisions. This program opens up a range of exciting career opportunities, including:

  • Mutual Fund management

  • Financial markets and Security dealing

  • Future, options contracts, and derivatives markets

  • Management consultancy and financial reporting

  • Budgeting and spending analysis.

  • Leadership and key decision-makers.

  • Data analysis work within investments, central banks, and accountancy firms

  • Money markets include banks and insurance sectors

  • Financial planning and forecasting.

  • Analyze and interpret the historical financial data of corporate and financial institutions 

A graduate of this program can work on:

  • Public and private companies

  • Colleges and universities

  • Profit and nonprofit organizations

  • Health care organizations and Hospitals

  • Government agencies

  • Banks and insurance companies

  • Microfinance institutions

  • Statistics bureaus

Program Learning Outcomes

Upon completion of this program, students should be equipped with comprehensive knowledge, skills, and abilities to excel in their endeavors.

  • Students will demonstrate knowledge of financial and investment concepts and data sciences that include, but are not limited to: investments and data analytics, big data concepts, portfolios investment analysis, Methods in analysis public budgets, programming languages (e.g Python, R), and financial risk analytics.

  • Have an understanding of the capital markets and how firms use these domestic and international markets to raise capital. To further understand stock markets and security trading analysis and investment scenario analysis.

  • Understand portfolio management, asset allocations, risk management, credit risk, and optimal portfolio construction, calculation, and evaluation.

  • Aware, interpret, and analyze financial data to facilitate decision making in corporate and investment projects in both personal and professional settings through financial reporting analysis.

  • The ability in estimating, calculating and interpreting the decisions related to investment projects through capital budgeting techniques NPV, IRR, MIRR.

  • The ability to extract data from its resources and using financial modelling in assets valuation, analyzing optimal portfolios and applying Python language in this field. 

  • Understand and quantify risk, make sound and decisions in a risky environment, and design plans and strategies for managing business and financial risks.

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Sunday, May 19, 2024

Master's
Faculty of Graduate Studies
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