Manipal Academy of Higher Education

India
1 Scholarships 55 Programs 2 Degree levels
Masters

Financial Data Analytics

DegreeMasters
FieldMSc Financial Data Analytics
Duration2 years
Tuition$3,650

A finance-focused master’s programme that combines quantitative methods with data analytics to help you build models for risk, investment decisions, and financial forecasting. You will work with tools such as Python, R, SQL, and data visualisation techniques used in industry.

Overview

The Financial Data Analytics Master's programme at Manipal Academy of Higher Education is designed for those looking to blend finance with advanced data analytics. This comprehensive programme equips students with the skills to develop quantitative models that inform crucial investment decisions, financial forecasting, and risk management. Throughout the course, you will gain hands-on experience with industry-standard tools such as Python, R, SQL, and various data visualization techniques.

What you'll study

The programme is structured over two years, focusing on a range of topics essential for mastering financial data analytics:

  • Year/Semester 1:
    • Foundations of Financial Data Analytics
    • Quantitative Methods for Finance
    • Financial Modelling and Time-Series Concepts
    • Data Management: SQL for Analytics
    • Data Visualisation for Financial Insights
  • Year/Semester 2:
    • Econometrics for Financial Applications
    • Risk Analytics and Measurement
    • Machine Learning for Finance
    • Applied Analytics Project / Case Studies
  • Year/Semester 3 (if applicable):
    • Advanced Topics in FinTech and Financial Technology
    • Portfolio Analytics and Decision Support
    • Electives (tailored to your interests)

Students may also engage in a capstone project or dissertation that applies their analytical skills to real-world finance-related challenges, such as forecasting or investment research.

Entry requirements

Applicants should have completed an undergraduate degree of at least three years from a recognised university and be eligible for the award of that degree. For specific GPA or standardised test requirements, please check the programme website for the latest information.

Note: English language proficiency may be required, and details can be confirmed on the programme website.

Career prospects

Graduates of the Financial Data Analytics programme are well-prepared for a variety of roles in finance and analytics. Career opportunities may include positions such as financial analyst, risk manager, data scientist, and investment strategist, among others. The programme's strong emphasis on practical skills ensures that you are ready to meet the demands of the evolving financial industry.

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Programme details are indicative and may change — always verify current information with the official university website before applying.